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| 1526 | Computer 61
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Assessing pulsatility ratio in different sized cerebral arterial vessels across varying levels of blood pressure |
| Tae Kim1 and Peter J Gianaros2 | ||
1Radiology&Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Psychology, University of Pittsburgh, Pittsburgh, PA, United States |
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Keywords: Neurodegeneration, Hypertension Pulsatility derived from the BOLD signal was used to assess the relationship of pulsatility damping in different sized cerebral arterial vessels across levels of blood pressure. Individuals with higher blood pressure exhibit reduced cerebrovascular compliance, and less damping of BOLD pulsatility among these individuals may be a potential indicator of cerebrovascular pathogenesis. |
| 1527 | Computer 62
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Characterization of white matter microstructural abnormalities in cerebral small vessel disease with cerebral microbleeds |
| Chaofan Sui1, Hongwei Wen2, Shengpei Wang3, Mengmeng Feng4, Haotian Xin4, Yian Gao1, Jing Li5, Lingfei Guo1, and Changhu Liang1 | ||
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Key Laboratory of Cognition and Personality (Ministry of Education); School of Psychology, Southwest University, Chongqing, China, 3Research Center for Brain-inspired Intelligence Institute of Automation, Chinese Academy of Sciences, Beijing, China, 4Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China, 5Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Bijing, China |
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Keywords: Neurodegeneration, White Matter To characterize white matter (WM) microstructural abnormalities in patients with cerebral small vessel disease (CSVD) coexisting with cerebral microbleeds (CMBs) and to further investigate the exact mechanism by which CMBs influence cognitive decline in patients with CSVD at the group and individual levels. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) images from 49 CSVD patients with CMBs (CSVD-c), 114 CSVD patients without CMBs (CSVD-n), and 83 controls were analyzed using DTI-derived tract-based spatial statistics to detect WM diffusion changes among groups. |
| 1528 | Computer 63
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“Hot cross bun” Sign Grades Means Different White Matter Changes in MSA-C: A Neurite Orientation Dispersion and Density Imaging Study |
| Chuanying Shi1, Peng Wu2, Jixin Luan3, and Xiance Zhao2 | ||
1Radiology, Liaocheng People's Hospital, Liaocheng, China, 2Philips Healthcare, Shang Hai, China, 3China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Bei Jing, China |
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Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniques, voxel-wise tract-based spatial statistics White matter (WM) changes play an important role in the progression of multiple system atrophy cerebellar type (MSA-C), and doctors need an imaging marker to grade the WM alterations. We observed different WM alterations between MSA-C patients with unclear “hot cross bun” sign (HCBs) and patients with complete HCBs, using NODDI, analyzed by TBSS. Compared with healthy controls, patients with complete HCBs showed broader different regions of intracellular volume fraction (ICVF) than ones with unclear HCBs, and meanwhile, difference of orientation dispersion index (ODI) and isotropic volume fraction (ISOVF) were only shown in complete HCBs ones. Difference of ICVF between patients with unclear and complete HCBs was also obvious. All of these findings indicated HCBs might be an imaging marker to assess the WM changes in MSA patients. |
| 1529 | Computer 64
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Mapping neuromelanin loss in clinically uncertain parkinsonism differentiates neurodegenerative from non-neurodegenerative |
| Yue Xing1,2,3, Stefan Pszczolkowski1, Saadnah Naidu1,2,3, Tayyib Hayat1,2,3,4, Jonathan Evans4, Christophe R Tench1,3, Schwarz T Stefan1,2,5, and Dorothee P Auer1,2,3 | ||
1Mental Health and Clinical Neuroscience Unit, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 4Nottingham University Hospitals, Nottingham, United Kingdom, 5Department of Radiology, Cardiff and Vale University, Cardiff, United Kingdom |
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Keywords: Neurodegeneration, Neurodegeneration, clinical uncertain Parkinsonism, NM-MRI Brain dopamine transporter SPECT imaging is routinely used to assess striatal dopaminergic deficit in the differentiation of essential tremor from degenerative parkinsonism in clinically uncertain parkinsonism (CUP). Neuromelanin (NM)-MRI detects nigral depigmentation with good diagnostic accuracy in confirmed Parkinson’s Disease; but its diagnostic value in CUP is unclear. Using voxel-based analysis following optimised automatic registration, we investigated the topography of NM loss in CUP, and show that voxels that best discriminate between non-neurodegenerative and neurodegenerative CUP are co-located in the dorsolateral substantia nigra. |
| 1530 | Computer 65
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Vascular contribution to the preclinical stages of Alzheimer’s disease: Insights from the EPAD cohort |
| Luigi Lorenzini1, Alessio Maranzano2, Lyduine E Collij1, Carole H Sudre3, Robin Wolz4, Sven Haller5, Kaj Blennow6, Giovanni B Frisoni7, Pierre Payoux8, Pablo Lage-Martinez9, Michael Ewers 10, Gael Chatelat11, Adam Waldman 12, Joanna Wardlaw 12, Nick Fox 13, Craig Ritchie 14, Philip Scheltens 15, Pieter Jelle Visser 15, Alle Meije Wink 1, Henk JMM Mutsaerts 1, Juan Domingo Gispert 16, Silvia Ingala 1, and Frederik Barkhof1 | ||
1Amsterdam UMC, Amsterdam, Netherlands, 2Department of Neurology-Stroke Unit and Laboratory of Neuroscience, Istituto Auxologico Italiano IRCCS - Department of Pathophysiology and Transplantation, “Dino Ferrari” Center, Università degli Studi di Milano, Milan, Italy, Milan, Italy, 3MRC Unit for Lifelong Health and Ageing at UCL, London, UK, London, United Kingdom, 4IXICO, London, United Kingdom, 5CIRD Centre d’Imagerie Rive Droite, Geneva, Switzerland, Geneva, Switzerland, 6Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Sweden, Gothenburg, Sweden, 7University Hospitals and University of Geneva, Geneva, Switzerland, 8Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital, Toulouse, France, 9Centro de Investigación y Terapias Avanzadas, Neurología, CITA‐Alzheimer Foundation, San Sebastian, Spain, 10German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich, Germany, 11Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood-and-Brain @ Caen-Normandie, Cyceron, 14000, Caen, France, 12Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, Scotland, 13Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, United Kingdom, 14Centre for Dementia Prevention, The University of Edinburgh, Edinburgh, Scotland, 15Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands, 16Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain |
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Keywords: Neurodegeneration, Alzheimer's Disease, Cerebrovascular, radiological Evidence suggests that cardiovascular risk factors and cerebrovascular disease contribute to the Alzheimer’s disease (AD) pathophysiology. It is still unclear to what extent vascular and amyloid pathology have a synergistic or independent influence in preclinical AD stages. We used structural equation models in a cohort of cognitively unimpaired individuals to investigate if cerebrovascular pathology mediates the relationship between cardiovascular risk factors and CSF Aβ1-42, and show that cerebrovascular pathology accelerates downstream AD markers (p-Tau181 and hippocampal volume) by increasing amyloid pathology. |
| 1531 | Computer 66
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Depression symptoms in Parkinson's disease correlate with amygdala subregions atrophy |
| Mingrui Qu1, Bingbing Gao1, Yuhan Jiang1, Yuan Li1, Lizhi Xie2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, China |
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Keywords: Neurodegeneration, Psychiatric Disorders Depression is the most frequent psychiatric disorder in Parkinson's disease (PD). Amygdala pathology has been suggested to contribute to some clinical features of PD, including deficits of olfaction and mood disorders. We aimed to more accurately measure alterations in the volume of each amygdala nucleus in Parkinson's disease with depression (DPD) patients. Then the volume of each specific amygdala nucleus would be associated with the severity of depressive symptoms. This study showed that DPD patients had multiple amygdala subregions atrophy. The bilateral lateral amygdala and left accessory basal nucleus were negatively correlated with the severity of depression in DPD patients. |
| 1532 | Computer 67
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Increase of Magnetic Transfer Contrast in Middle Cerebellum Peduncles in Patients with Multiple System Atrophy |
| Haiying Lyu1, Qing Li2, Yufei Huang1, and Yong Lu3 | ||
1Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2MR Collaborations, Siemens Healthineers Ltd., Shanghai, China, 3Ruijin Hospital / Luwan Branch Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: Neurodegeneration, Magnetization transfer, Multiple system atrophy The magnetic transfer (MT) MRI imaging has long been used for quantifying neuromelanin containing nucleus, but its ability of quantifying the magnetization exchange between free water and macromolecules has also allowed its potential usage in detecting white matter changes. Patients with multiple system atrophy has unique pathological changes in pontocerebellar regions. In this study, we have not only found significant increase of MT contrast in MCP regions of MSA, but also proved significant correlation between this alteration and brainstem or cerebellar atrophy, which might offer new insights for future studies. |
| 1533 | Computer 68
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Examining the consistency of brain MRI structural and functional readouts using repeat imaging from the longitudinal UK Biobank MRI Study. |
| Guocheng Jiang1, Jennifer S Rabin2,3,4,5, Walter Swardfager2,6, Hugo Cogo-Moreira7, and Bradley J MacIntosh1,8 | ||
1Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Medicine Division of Neurology, University of Toronto, Canada, Toronto, ON, Canada, 5Graduate Department of Rehabilitation Science, University of Toronto, Toronto, ON, Canada, 6Department of pharmacology and toxicology, University of Toronto, Toronto, ON, Canada, 7Department of Education, ICT and Learning, Østfold University College, Halden, Norway, 8Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway |
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Keywords: Neurodegeneration, fMRI, Structural MRI We aim to study structural and functional changes over time with a focus on the thalamus and hippocampus regions of interest. Longitudinal analysis was performed in N=274 UK Biobank participants. We find strong correlations between the baseline and follow-up MRI readouts. Namely, it is possible to predict thalamus and hippocampus volume changes across a mean of 2.25 years using baseline volume and resting state functional activation estimates. This work helps characterizing the longitudinal consistencies within both hippocampal and thalamic MR readouts and helps setting up prediction models as the next step. |
| 1534 | Computer 69
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Brain alterations in ovariohysterectomized rats revealed by diffusion tensor imaging |
| Shin-Lei Peng1, Sheng-Min Huang2, and Chun-Chieh Chan1 | ||
1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan |
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Keywords: Neurodegeneration, Diffusion Tensor Imaging Women undergoing hysterectomy with oophorectomy have an increased risk of Alzheimer’s disease. However, postoperative neuroimaging data on pathogenic processes in the brain are limited. This study was aimed to investigate the potential effect of ovariohysterectomy on brain integrity in the rat model using diffusion tensor imaging technique. Compared to the control group, the ovariohysterectomy group showed significantly lower fractional anisotropy in the corpus callosum, bilateral striatum, and bilateral cortex, suggesting neuronal injury in ovariohysterectomized rats. Therefore, neuroimaging should be performed to monitor brain alterations in women after hysterectomy with bilateral oophorectomy in clinical settings. |
| 1535 | Computer 70
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Evaluation of the anterior visual pathway in amyotrophic lateral sclerosis with optical coherence tomography and diffusion tensor imaging |
| Jing Zhang1, Yali Zhao1, Yuan Yang2, and Hongyu Wu1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Neurology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China |
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Keywords: Neurodegeneration, Diffusion Tensor Imaging Involvement of the visual pathway in amyotrophic lateral sclerosis (ALS) has been demonstrated. However, the exact damage mechanisms such as how the changes in the distinct parts of the anterior visual pathway (AVP) are still poorly understood and remain highly controversial. We observed altered RNFL, fractional anisotropy, mean diffusivity and relative anisotropy of AVP by the multimodal use of optical coherence tomography and DTI in ALS individuals compared to the controls. Our findings shed light on the dynamic pathophysiological effects on the morphology of the AVP and the potential association between microstructural damage to the AVP and executive function. |
| 1536 | Computer 71
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Disruptions in Functional Connectivity in Pre-manifest Huntington Disease: A Data-Driven, Whole-Brain fMRI Study |
| Simon Laganiere1, Mark A Halko2, Luis Sierra3, Clementina Ullman3, Karen Hildebrand3, Magdaline Mwangi3, Julia Dierker3, Samuel Frank1, Kaitlin Toal3, and Sheeba Anteraper4 | ||
1Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 2McLean Hospital, Belmont, MA, United States, 3Beth Israel Deaconess Medical Center, Boston, MA, United States, 4Stephens Family Clinical Research Institute, Carle Foundation Hospital, Urbana, IL, United States |
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Keywords: Neurodegeneration, fMRI (resting state), Huntington disease, striatum, data-driven multi-voxel pattern analysis Huntington disease (HD) is a progressive, autosomal dominant disease caused by a pathological expansion of CAG repeats in the HTT gene1,2. A clinical diagnosis of HD is made at the appearance of unequivocal motor signs. However, in the “premanifest” stage, due to slowly progressive neurodegenerative changes1,2, subtle motor, psychiatric and cognitive decline occurs many years prior to diagnosis3. The sequelae of neural circuit dysfunction remains unclear. Improving our mechanistic understanding of functional brain connectivity alterations prior to disease manifestation will help identify sensitive biomarkers of disease progression1,4–6. Data-driven analysis of high-quality functional magnetic resonance imaging data will guide such efforts. |
| 1537 | Computer 72
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Pretherapeutic specific gray matter volume for predicting MRgFUS thalamotomy-mediated tremor response in Parkinson's disease |
| Xiaoyu Wang1 and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China |
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Keywords: Neurodegeneration, MR-Guided Interventions, MRgFUS This is the first study to assess magnetic resonance-guided focused ultrasound (MRgFUS) VIM thalamotomy on gray matter (GM) volume in tremor-dominant Parkinson’s disease (PD). MRgFUS has good efficacy and safety in the treatment of PD. We used three methods to extract specific GM volumes of nine PD patients before and after treatment for calculating their difference and correlation analysis. We found that the specific GM regions may predict tremor responses in PD after thalamotomy, and the results help to better understand the distant effect of MRgFUS thalamotomy and the involvement of GM in tremor control in PD. |
| 1538 | Computer 73
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Neuromelanin-MRI Assessment in Dementia with Lewy Bodies |
| Rotem Iris Orad1,2,3, Moran Artzi1,2,4, Noa Bregman2,3, Anat Mirelman2,4,5, Avner Thaler2,4,5, Amgad Droby2,4,5, Orly Goldstein6, Mali Gana-Weisz6, Netanell Avisdris1, Avi Orr-Urterger2,4,6, Nir Giladi2,3,4,5,6,7, Tamara Shiner2,3,4,7, and Dafna Ben Bashat1,2,4 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel, 3Center for Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 4Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Laboratory of Early Markers of Neurodegeneration, Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 6The Genomic Research Laboratory for Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 7Movement Disorders Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel |
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Keywords: Neurodegeneration, Genetics, Dementia with Lewy Bodies Reduced neuromelanin-MRI signal and volume are known in Parkinson's disease (PD). However, changes in neuromelanin-MRI with Dementia with Lewy bodies (DLB) and whether there are genotype-related differences are unknown. In this study, we showed reduced neuromelanin signal and volume in patients with DLB compared to healthy controls. Yet, no differences were detected between genotype groups: DLB with and without GBA mutation. Results may suggest the same pathomechanism underlying DLB, PD and other neurodegenerative parkinsonian syndromes, with depletion of neuromelanin within the substantia nigra. |
| 1539 | Computer 74
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Reduction of GABA in the visual cortex of glaucoma patients is linked to decreased neural specificity. |
| Ji Won Bang1, Carlos Parra1, Kevin Yu1, Gadi Wollstein1,2,3, Joel S Schuman1,2,3,4, and Kevin C Chan1,2,3,4,5 | ||
1Department of Ophthalmology, NYU Grossman School of Medicine, NYU Langone Health, New York University, New York, NY, United States, 2Center for Neural Science, College of Arts and Science, New York University, New York, NY, United States, 3Department of Biomedical Engineering, Tandon School of Engineering, New York University, New York, NY, United States, 4Neuroscience Institute, NYU Grossman School of Medicine, NYU Langone Health, New York University, New York, NY, United States, 5Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York University, New York, NY, United States |
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Keywords: Neurodegeneration, Brain Glaucoma is an age-related neurodegenerative disease of the visual system. Although increasing number of studies indicated its widespread involvements of the eye and the brain, very little is known about the underlying metabolic mechanisms. Thus, here we investigated the GABAergic and glutamatergic systems in the visual cortex of glaucoma patients, as well as neural specificity. Our study demonstrated that glaucoma is accompanied by the reduction of GABA and glutamate in the visual cortex. Further, the reduction of GABA but not glutamate predicted neural specificity. This suggests that GABA loss in the visual cortex degrades the neural specificity in glaucoma. |
| 1540 | Computer 75
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Evidence of association between lower cerebral white matter myelin content and rapid cognitive decline in cognitively unimpaired individuals |
| Zhaoyuan Gong1, Murat Bilgel2, Matthew Kiely1, Curtis Triebswetter1, Luigi Ferrucci3, Susan M. Resnick2, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States, 2Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States, 3Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States |
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Keywords: Neurodegeneration, Aging, Myelin Myelin plays an essential role in the normal functioning of the central nervous system. However, how myelination influences longitudinal changes in cognitive performance, especially in cognitively normal (CN) individuals, remains unclear. Using a linear mixed-effects regression analysis, we examined the association between myelin content and changes in cognitive domain scores obtained over several years prior to the time of the MRI scan. We demonstrated strong and statistically significant relationships between myelin content and the rates of change in cognitive performance in several white matter regions. These findings highlight the importance of white matter, specifically myelin integrity, in cognitive functioning. |
| 1541 | Computer 76
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Altered neurochemical profiles and volume loss in the cerebellum and brainstem as biomarkers in spinocerebellar ataxia type 1 |
| Kirsten Kapteijns1, Teije van Prooije1, Jack JA van Asten2, Marcel Verbeek1, Bart van de Warrenburg1, and Tom WJ Scheenen2 | ||
1Neurology, Radboudumc, Nijmegen, Netherlands, 2Medical Imaging, Radboudumc, Nijmegen, Netherlands |
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Keywords: Neurodegeneration, Spectroscopy, Single Voxel Spectroscopy Spinocerebellar ataxia type 1 is a rare, progressive movement disorder primarily affecting the cerebellum and closely connected brain regions. We assessed the dynamics of MR biomarkers and their utility as progression and/or predictive biomarkers in SCA1. SCA1 patients showed an altered neurochemical profile when compared to controls. Additionally, we measured a lower volume of affected regions in patients, clearly distinguishing them from controls. Altered volume correlated strongest with clinical scores, confirming the potential to use MR-markers to monitor SCA1 progression. Furthermore, MRS markers correlated with consequent change in volumetric measures, showing preliminary evidence for their predictive value in SCA1. |
| 1542 | Computer 77
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Cortical thickness alterations in patients with T2DM and its correlation with cerebral small vessel diseases and cognitive function |
| Jinghan Zhao1, YangYingqiu Liu1, wei Du1, Yuhan Jiang1, Peng Sun2, Weiwei Wang1, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Keywords: Neurodegeneration, Diabetes, small vessel diseases (CSVD)、cognition、freesurfer The objective of this study was to explore the changes of cortical thickness in patients with type 2 diabetes mellitus, and the correlation between the thinning cerebral regions and cerebral small vessel diseases (CSVD) burden. The thickness of the left medial orbitofrontal cortex was negatively correlated with the centrum semi-ovale enlarged perivascular space (CSO-EPVS) score and CSVD total burden score. The thickness of the left lateral occipital cortex was negatively correlated with CSO-EPVS score, basal ganglia enlarged perivascular space (BG-EPVS) score, and CSVD total burden score, and positively correlated with mini-mental state examination (MMSE) delayed memory score. |
| 1543 | Computer 78
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Remote neurodegeneration in a rat contusion spinal cord injury model: a combined MRI and histological study |
| Gergely David1, Alice Motovylyak2, Felix Schlegel3, Zsofia Kovacs3, Matthew Budde4, Christian Kündig1, Jan Klohs3,5, and Patrick Freund1,6,7 | ||
1Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland, 2Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, United States, 3Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, 4Department of Neurosurgery, Medical College of Wisconsin, Clement J Zablocki Veterans Affairs Medical Center, Milwaukee, WI, United States, 5Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland, 6Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 7Wellcome Trust Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom |
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Keywords: Neurodegeneration, Trauma MRI has been widely used to investigate the structural damage after traumatic spinal cord injury (SCI). While most small animal studies have focused on the injury site, remote SCI-related damage along the neuraxis has received less attention. Here, we demonstrate that ex vivo diffusion MRI and cross-sectional area measurements are sensitive to remote neurodegeneration in a rat contusion SCI model, showing gray matter and dorsal column atrophy alongside decreased fractional anisotropy in the dorsal columns several spinal levels rostral to the injury epicenter. Imaging findings were consistent with SMI32 immunohistochemistry with axonal degeneration mostly concentrated in the dorsal column. |
| 1544 | Computer 79
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Detecting longitudinal alterations of cerebral white matter associated with breast cancer and chemotherapy using GQI |
| Wei Chuang1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai2,4, and Jun-Cheng Weng1,3,5 | ||
1Department of Medical Imaging and Radiological Sciences, and Department of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chang Gung University, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, 5Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan |
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Keywords: Brain Connectivity, Diffusion/other diffusion imaging techniques In 2020, breast cancer is the most prevalent type of cancer and has the highest incident rate in women worldwide. The extensively used adjuvant chemotherapy might have detrimental effect on human brain and results in chemotherapy-related cognitive impairment (CICI) in breast cancer patients. The present study performed longitudinal design, aiming to investigate the microstructural and macroscale white matter alterations by generalized q-sampling imaging (GQI). Our results suggested that the patients had changes in local white matter integrity and network performance in DAN before treatment and frontal lobe connection after treatment. |
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Study of mouse models of lesion by using a multi technique approach. |
| Laura Maugeri1,2, Charles Nicaise3, Aleksandar Jankovski4,5, Emil Malucelli6, Mauro DiNuzzo2,7, Alessia Cedola8, Federico Giove2,7, and Michela Fratini2,8 | ||
1Institute of Nanotechnology Lecce Unit & Rome Unit, CNR, LECCE, Italy, 2Laboratory of Neurophysics and Neuroimaging (NaN), IRCCS Santa Lucia Foundation, Rome, Italy, 3URPhyM – NARILIS, Université de Namur, Namur, Belgium, 4Institute of NeuroScience (IoNS), NEUR division, Université catholique de Louvain (UCLouvain), Brussels, Belgium, 5Department of Neurosurgery, Université catholique de Louvain (UCLouvain), CHU UCL Namur, Yvoir, Belgium, 6Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy, 7Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Rome, Italy, 8Institute of Nanotechnology, CNR, ROME, Italy |
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Keywords: Spinal Cord, Data Processing, SPINAL CORD INJURY Innovative biomarkers as well as new modalities to integrate structural information at higher level should be tuned up in order to understand the mechanisms underlying the pathology evolution. Here, we show some results obtained by integrating morphological information from X-ray phase contrast microtomography with histology combined with immunohistochemistry. Thanks to this approach, we demonstrated the possibility to use the cell number variation as a biomarker for pathological conditions. |
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In vivo MR vessel size imaging of brain vascular plasticity after experimental spinal cord injury |
| junchao qian1, ke zhou1, Chen Zhou2, yu tian3, Yanan Zhang2, Tianwei Song2, and Junchao Qian2 | ||
11.Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, P. R. China, Hefei, China, 2Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, China, 31.Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, P. R. China, Hefei,China, China |
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Keywords: Blood vessels, Blood vessels Spinal cord injury (SCI) leads to neuronal cell death, axonal damage and demyelination. Brain undergo anatomical changes following SCI. Recently MR vessel size imaging has shown promising application in visualizing neovascularization. In this study we explored the possibility to vascular morphology changes and angiogenesis in the regions along the cranial corticospinal tract (CST) in SCI using vessel size imaging. The results showed increased microvascular density (Density), mean vessel diameter (mVD) and vessel size index (VSI) values in contralateral pyramids four weeks post-injury compared to pre-injury levels. Thus, vessel size imaging could provide valuable information of neovascularization in brain after SCI. |
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Contribution of diffusion MRI to neuropathic pain in the SNL rat model: correlation between gliosis and diffusion parameters |
| Sang-Jin Im1, Seokha Jin1, and HyungJoon Cho1 | ||
1Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea, Republic of |
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Keywords: Spinal Cord, Diffusion Tensor Imaging In this study, magnetic resonance imaging is used for anatomical and pathological studies of the spinal cord, investigating the mechanisms of neuralgia through diffusion magnetic resonance imaging techniques. However, analysis of ganglion changes in the spinal cord in multi-shell diffuse-weighted MRI signals remains challenging due to the ambiguous relationship between sympathetic and MRI signals. To study these relationships, we construct a neuropathic pain model using rats by performing in ex-vivo MRI experiments and neuropathic cell staining to provide insight into the treatment of neuropathic pain. |
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Anisotropic and Isotropic Kurtosis Estimation of Spinal Cord Microstructure in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder |
| Masaaki Hori1,2, Akifumi Hagiwara2, Kazumasa Yokoyama3, Issei Fukunaga4, Katsuhiro Sano2, Koji Kamagata2, Katsutoshi Murata5, Shohei Fujita2,6, Christina Andica7, Akihiko Wada2, Kouhei Kamiya1,2, Julien Cohen-Adad8, and Shigeki Aoki2,7 | ||
1Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 3Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 4Radiological Technology, Faculty of Health Science, Juntendo University, Tokyo, Japan, 5Siemens Japan K.K., Tokyo, Japan, 6Radiology, The University of Tokyo, Tokyo, Japan, 7Faculty of Health Data Science, Juntendo University, Chiba, Japan, 8NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada |
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Keywords: Spinal Cord, Spinal Cord We investigated the microstructural changes in the spinal cords of patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) using anisotropic kurtosis and isotropic kurtosis (Kiso) derived from 2-shell single diffusion encoding (SDE) MRI data with spherical mean techniques (SMT) and mean signal diffusion kurtosis imaging. There was a significant difference in Kiso between MS and NMOSD at the level of C4 (P=0.032, Mann-Whitney U test with Bonferroni correction). Therefore, Kiso derived from 2-shell SDE data might potentially be useful for evaluating the spinal cord microstructure in MS and NMOSD patients. |
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Feasibility of MUSE DTI in differentiation of spinal cord injury severity in cervical spondylotic myelopathy |
| Haoyue Shao1, Xiangyu Tang1, Qiufeng liu1, and Weiyin Vivian Liu2 | ||
1Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China, 2GE Healthcare, Beijing, China |
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Keywords: Spinal Cord, Diffusion/other diffusion imaging techniques, cervical spondylotic myelopathy MUSE (Multiplexed Sensitivity-Encoding) is a novel diffusion weighted imaging with 2 to 3-excitations, phase acquisition step reduction, to achieve high-resolution diffusion imaging, higher signal-to-noise ratio, fewer motion artifacts and magnetic field inhomogeneities. In this study, we applied MUSE-based diffusion tensor imaging to investigate the compression-caused microstructure changes in the spinal cord of each subject. Our results suggested that MUSE-DTI computed parameters (Trace, FA, ADC) have dependable diagnostic values in detecting CSM (cervical spondylotic myelopathy) and that the ADC value is the best indicator of spinal cord compression. |
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Quantitative evaluation of the spinal cord compression in patients with cervical spondylotic myelopathy using synthetic MRI |
| Xiangyu Tang1, Haoyue Shao1, Weiyin Vivian Liu2, Qiufeng Liu1, and Wenzhen Zhu1 | ||
1Radiology department, Tongji hospital, Tongji medical college, Huazhong University of science and technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Spinal Cord, Quantitative Imaging, Synthetic MRI, Cervical spondylotic myelopathy The present study for the first time applied synthetic MRI in diagnosis of patients with cervical spondylotic myelopathy. Multiple relaxation maps (T1, T2 and PD maps) and contrast-weighted images were obtained in a single scan of synthetic MRI. Our study demonstrated that T1 and T2 relaxation times of spinal cord at maximal compression level (MCL) changed with a grade dependent difference and T1MCL value could sensitively reflect the microstructural alteration of compressive spinal cord and even MCL at grade I, Moreover, T1MCL and T2MCL value was related to clinical scores and diameter values of the spinal cord at MCL. |
| 1551 | Computer 87
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CT-Guided Cervical Spinal Cord and Nerve Root Adhesiolysis for Intractable Hiccup:Based on the evidence of 3.0 T magnetic resonance neuroimaging |
| YANG MaoJiang1, Liu JianHao2, ANUP Bhetuwal1, QIONG Xian3, ZHANG HanWen1, YANG HanFeng1, Chen Meining4, and XU XiaoXue1 | ||
1Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Nanchong, China, 2The Fifth People's Hospital of Chengdu, Chengdu, China, 3Second Affiliated Hospital of North Sichuan Medical College,Nanchong 637100, Nanchong, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China, Shanghai, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT The preoperative neuroimaging examination can clearly reflect the abnormalities of cervical intervertebral disc, cervical plexus and brachial plexus, help us understand the potential pathogenesis of intractable hiccup, and improve the efficacy. |
| 1552 | Computer 88
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Does spinal CSF perfuse out of the spine? |
| Diana Vucevic1, Vadim Malis1, Won Bae1, and Mitsue Miyazaki1 | ||
1Radiology, UCSD, San Diego, CA, United States |
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Keywords: Spinal Cord, Visualization Cerebrospinal fluid (CSF) perfusion in the spinal canal is one of the greatest mysteries in the scientific community. CSF can be imaged without the use of gadolinium-based contrast agents (GBCA) using our novel spin-labelling MRI technique at 3 Tesla. Perfusion of CSF in the spine can be seen in the thoraco-lumber region from the nerve roots. This CSF outflow may be absorbed by the venous plexus along the dorsal nerve roots. The second pathway It may be from the nerve roots, recirculated to lymphatic tissue and into the thoracic duct. |
| 1553 | Computer 89
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Effects of neuropathic pain on cerebral hemodynamics in spinal nerve ligation model |
| SEOKHA JIN1 and Hyung Joon Cho1 | ||
1UNIST, Ulsan, Korea, Republic of |
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Keywords: Neuroinflammation, Neuroinflammation, Neuropathic pain In this study, the effects of neuropathic pain on cerebral hemodynamics was investigated. For the neuropathic pain model, a spinal nerve ligation model was operated and validated by Von Frey test. To estimate the cerebral hemodynamics, DSC-MRI was performed up to 28 days after surgery. As a result, it is possible to specify when or where the neuropathic pain strongly affects cerebral perfusion. |
| 1554 | Computer 90
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Nodular change of the cervical nerve root on quantitative double-echo steady-state in cervical spondylosis |
| Keisuke Nitta1, Hajime Yokota2, Takayuki Sada1, Ryuuna Kurosawa1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Yoshitada Masuda1, and Takashi Uno2 | ||
1Radiology, Chiba University Hospital, Chiba-shi, Japan, 2Diagnostic Radiology and Radiation Oncology, Chiba University Hospital, Chiba-shi, Japan, 3Philips Japan, Tokyo, Japan |
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Keywords: Spinal Cord, Neuro Evaluation of intervertebral foramen stenosis is essential in the diagnosis of cervical spondylosis. However, that is not easy because the intervertebral foramen is thin. We focused on the nodular change of the cervical nerve root, which is often visualized in patients with cervical spondylosis. We investigated the relationship between nodular changes and intervertebral foramen stenosis and confirmed the correlation between them. Thus, the identification of the nodular change may be helpful in the diagnosis of cervical spondylosis. |
| 1555 | Computer 91
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Reliability of spinal cord measures based on Synthetic T1-weighted MRI derived from multi-parametric mapping (MPM) |
| Simon Schading1, Maryam Seif1,2, Tobias Leutritz2, Markus Hupp1, Armin Curt1, Nikolaus Weiskopf2,3, and Patrick Freund1,2,4 | ||
1Spinal Cord Injury Center, Balgrist University Hospital, Zürich, Switzerland, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Felix Bloch Institute for Solid State Physics, Leipzig University, Leipzig, Germany, 4Wellcome Trust Centre for Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom |
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Keywords: Spinal Cord, Quantitative Imaging MRI acquisition time is a main factor for patient's comfort and motion artifacts. To avoid additional time consuming T1-w MPRAGE imaging for measuring spinal cord atrophy, when quantitative multi-parameter maps (MPM) are available, we reconstructed and validated a synthetic T1-w (synT1-w) based on MPMs. Test-retest repeatability was assessed and synT1-w images were compared with T1-w MPRAGE in a longitudinal study following spinal cord injury. Measures derived from synT1-w demonstrated high intra- and inter-site repeatability with only small difference when compared to MPRAGE. The estimated effects of spinal cord atrophy agreed with those obtained from MPRAGE. |
| 1556 | Computer 92
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Controlled Modeling of Cerebrospinal Fluid Flow Artifacts with a Simple Digital Spine Phantom |
| Daniel V Litwiller1, R Scott Hinks2, Ajeetkumar Gaddipati3, Trevor Kolupar3, and Suchandrima Banerjee4 | ||
1GE Healthcare, Denver, CO, United States, 2GE Healthcare, Albuquerque, NM, United States, 3GE Healthcare, Waukesha, WI, United States, 4GE Healthcare, Menlo Park, CA, United States |
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Keywords: Spinal Cord, Artifacts Robust spine imaging with conventional fast spin echo remains a clinical challenge due to motion artifacts from multiple sources. Flow artifacts from cerebrospinal fluid can be especially problematic for assessments of the spinal cord itself. In addition, judging the effectiveness of various protocol modifications can be challenging in vivo due to the stochastic nature of the relationship between image timing and the cardiac cycle. In this work, we present results of a simple digital spine phantom that can be used in the controlled evaluation of strategies to mitigate artifacts from CSF flow. |
| 1557 | Computer 93
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High Resolution Spinal Cord Imaging at 7T with Rosette Trajectory and Compressed Sensing. |
| Sultan Zaman Mahmud1,2, Seyedeh Nasim Adnani1,2, Thomas S. Denney1,2, and Adil Bashir1,2 | ||
1Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Auburn University MRI Research Center, Auburn University, Auburn, AL, United States |
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Keywords: Spinal Cord, New Trajectories & Spatial Encoding Methods, Rosette Imaging, Compressed Sensing. MRI is very useful to investigate spinal cord pathologies non-invasively. However, signal to noise ratio (SNR), spatial resolution and motion artifacts are some of the main challenges in spinal cord MRI. Ultra high field MRI such as 7T, can improve the SNR enabling high spatial resolution. The inherent property of low susceptibility to motion of non-Cartesian imaging technique such as Rosette, can improve the motion related artifacts. So the goal of this study was to develop a technique for high-resolution spinal cord imaging at 7T using Rosette MRI. |
| 1558 | Computer 94
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An automatic tool for lumbar deformities and intervertebral disc degeneration using deep-learning based 3D segmentation |
| Yao-Wen Liang1, Chao-Hung Kuo2, Feng-Mao Chiu1, Ting-Chun Lin1, Yu-Hao Lan1, Chih-Yu Wang1, and You-Yin Chen1,3 | ||
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 3Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei, Taiwan |
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Keywords: Spinal Cord, Machine Learning/Artificial Intelligence Degenerative alterations are the most common cause of lumbar spinal stenosis (LSS) in seniors. LSS is detected more often due to enhanced imaging technology and an aging population. Imaging data help individuals with chronic symptoms considering invasive therapy. This study combined the approach of assessing disc degeneration with stenosis assessment, using a deep learning-based segmentation module and a home-made autonomous measuring system. |
| 1559 | Computer 95
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Radiomic Analyses of the Instrumented Spinal Cord After Treatment for Degenerative Myelopathy and Acute Cord Injuries |
| Azadeh Sharafi1, Andrew Klein1, and Kevin M Koch1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Spinal Cord, Radiomics Quantitative MRI of the spinal cord can provide insightful information about injured or degenerated cord tissue. However, the presence of instrumentation used treat such conditions can compromise the ability to perform such analyses. In this preliminary study, first and second-order radiomics features were computed across axial segmented spinal cord in subjects with 1) degenerative cervical myelopathy and 2) spinal cord injury patients treated with spinal fusion. Radiomics were computed using T1 and T2 weighted metal-artifact suppressed 3D-MSI and analyzed and successfully utilized to model local fusion status within the clinical cohorts and also against non-instrumented control subjects. |
| 1560 | Computer 96
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Quantitative Analysis of Posterior Decompression in Chiari Malformation by Cine-PC MRI and 3D-T2w Scanning |
| Xinyu Wang1, Fengtan Li1, Xinli Wang1, Chen Zhang2, and Jianxun Qu3 | ||
1Tianjin Medical University General Hospital, Tianjin, China, 2MR Scientific Marketing, Siemens Healthcare, Beijing, China, 3MR Collaboration, Siemens Healthcare, Beijing, China |
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Keywords: Spinal Cord, Spinal Cord In this study, the cine-phase contrast (cine-PC) sequence was used to compare the flow rate of cerebrospinal fluid in the midbrain aqueduct of patients with Chiari type I before and after posterior decompression and to analyze the difference in the ratio of cerebellar volume to posterior fossa volume between patients with Chiari type I and normal controls. Cine-PC magnetic resonance imaging and 3D-T2 scanning are shown to be effective for surgically evaluating patients undergoing posterior decompression surgery. |
| 1561 | Computer 97
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Quantitative Magnetic Resonance Imaging to Quantify the Macro and Microstructural Changes in Normal and Pediatrics with Spinal Cord Injury |
| Shiva Shahrampour1, Mahdi Alizadeh1, Devon Middleton1, Benjamin De Leener2, Laura Krisa1, Adam E. Flanders3, Scott H. Faro3, Julien Cohen-Adad2, MaryJane Mulcahey1, and Feroze B. Mohamed1 | ||
1Thomas Jefferson University, Philadelphia, PA, United States, 2Polytechnique Montréal, Montreal, QC, Canada, 3Thomas Jefferson University Hospital, Philadelphia, PA, United States |
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Keywords: Spinal Cord, Pediatric Spinal Cord Injury (SCI) in the pediatric population is relatively rare but carries significant psychological and physiological consequences. Advanced qMRI techniques has shown promising results to evaluate spinal cord integrity at a macro and microstructural level. |
| 1562 | Computer 98
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A Cohort Study of Spinal Cord Diffusivity After Treatment of Cervical Spondylotic Myelopathy with Instrumented Spinal Fusion |
| Kevin Koch1 and Andrew S Nencka1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Spinal Cord, Spinal Cord This study analyzed spinal cord diffusivity in CSM subjects treated with metallic spinal fusion decompression. Metal-artifact-suppressed diffusion-weighted MRI were collected on 38 CSM subjects and 25 controls. Diffusivity was analyzed as a function of cohort and level instrumentation (instrumented, non-instrumented, and adjacent segment). In addition, the impact of mJOA symptom scores and duration since the fusion procedure on diffusivity were modeled. Multi-linear mixed effects models accounted for demographic variations and multiple-measures (at different cord levels) within each subject. The results of the study identified consistent reductions in diffusivity due to the presence of fusion instrumentation. |
| 1563 | Computer 99
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Spinal cord fMRI to investigate the Relapsing-Remitting Multiple Sclerosis (RRMS) patients |
| Michela Fratini1,2, Lorenzo Giovannelli3, Laura Maugeri1,3, Mauro Di Nuzzo4, Marta Moraschi5, Maria Guidi4, Daniele Mascali4, Irene Egidi4, and Federico Giove3,4 | ||
1Nanotec, CNR, Roma, Italy, 2IRCSS Santa Lucia Foundation, Rome, Italy, 3IRCCS Santa Lucia Foundation, Roma, Italy, 4CREF, Roma, Italy, 5Radiation Oncology, Campus Bio-Medico University of Rome, Roma, Italy |
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Keywords: Spinal Cord, fMRI (task based), BOLD signal We have studied Relapsing-Remitting Multiple Sclerosis (RRMS) patients group with spinal cord fMRI during a multilevel force grip motor task. We demostrated the possibility to use spinal cord fMRI as a biomarker for clinical application. |
| 1564 | Computer 100
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Application of Water-Fat Imaging in Spinal Diseases: comparison with conventional T1-weighted and T2-weighted STIR Images |
| Nan Wang1, Guobin Li2, Shuheng Zhang2, Dan Yu3, Yongming Dai3, and Qingwei Song1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Cancer, Whole Body Water-Fat Imaging (WFI) based on chemical shifts can provide excellent separation of water and fat in tissue. This work investigated the application of WFI to spinal diseases. The diagnosis performances were compared with the T1-weighted (T1W) and T2-weighted short-TI-inversion-recovery (T2W STIR) sequence. For hyperosteogeny, spinal metastasis, and disc herniation, the WFI showed comparable performance as the combination of T1W and T2W STIR imaging within a much shorter acquisition time. |
| 1565 | Computer 101
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Histogram analysis of Intravoxel incoherent motion (IVIM) in differentiating high-grade glioma and solitary brain metastasis |
| Yifei Su1, Jinxia Guo2, Junhao Wang1, Rui Cheng3, Chunhong Wang3, Liangliang Hao4, Hongming Ji3, Yexin He4, and Cheng Xu4 | ||
1The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, China, 2GE Healthcare, MR Research, Beijing, China, 3Department of Neurosurgery, Fifth Hospital of Shanxi Medical University, Taiyuan, China, 4Department of Radiology, Fifth Hospital of Shanxi Medical University, Taiyuan, China |
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Keywords: Tumors, Cancer, high grade glioma, solitary brain metastasis We aim to explore the value of intravoxel incoherent motion (IVIM) in differentiating high-grade glioma (HGG) and solitary brain metastasis (SBM) by using histogram and first-order texture analysis in combination with the structural lesion feature. Results showed there were significant higher skewness (Dfast, f) and kurtosis (Dslow, f), and significant lower entropy (Dslow, f) and mean (f) in HGG solid tumor region as well as significant lower mean (f) in HGG peritumoral edema zone. Clear tumor margin in T2-weighted imaging help improve the differentiation when integrated with the IVIM parametric values. |
| 1566 | Computer 102
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Ternary plot method for presenting information acquired by OGSE and PGSE sequences: Evaluation of the peritumoral area in malignant glioma |
| Toshiaki Taoka1,2, Rintaro Ito1,2, Rei Nakamichi2, Toshiki Nakane2, Kazushige Ichikawa3, Mayuko Sakai4, Nobuyasu Ichinose4, Masanori Ozaki4, Takaya Mori4, Yoshiki Tanaka5, and Shinji Naganawa2 | ||
1Department of Innovative Biomedical Visualization (iBMV), Nagoya University, Nagoya, Japan, 2Radiology, Nagoya University, Nagoya, Japan, 3Division of Radiology, Nagoya University Hospital, Nagoya, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5SORD Corporation, Chiba, Japan |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques, OGSE The characteristics of tissue structures can be estimated by comparing images with different diffusion times acquired using the OGSE and PGSE methods. However, for multiple images, it is difficult to make pixel-by-pixel comparison. We attempted a method for integrating the pixel values of these images using ternary plotting for malignant glioma cases. Tumor areas with abnormal enhancement, peritumoral abnormal signal areas, and distant edematous areas were evaluated. The ternary plot provided immediate visual information. It also highlighted similarities in the tissue characteristics of the tumor, with enhancement to the peritumoral area showing abnormal signals. |
| 1567 | Computer 103
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Habitat analysis based on diffusion kurtosis imaging to predict adult-type diffuse gliomas grade |
| Peng Wang1,2, Yanhao Liu1, Qiong Wu1, Shaoyu Wang3, Huapeng Zhang3, Yang Song3, Xu Yan3, and Yang Gao1 | ||
1Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2Inner Mongolia Medical University, Hohhot, China, 3Siemens Healthineers, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Glioma composition is complicated, making whole-tumor investigation with traditional pathological analysis typically challenging. It is possible to demonstrate intratumor heterogeneity using habitat analysis in radiography, a technique analogous to biological environmental analysis with individualized descriptions and quantitative expression of subregions inside the region of interest. Therefore, our goal was to create an integrated model for the habitat analysis-based diffusion kurtosis imaging diagnosis of adult-type diffuse glioma grade. According to the findings, diffusion kurtosis imaging based on habitat analysis accurately predicted adult-type diffuse gliomas grade, which may help to resolve some "intermediate situations" that are challenging to diagnose clinically. |
| 1568 | Computer 104
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Evaluation of the Glymphatic System Using the DTI-ALPS Index in Patients with Glioma |
| Chao Zhang1, Ruohan Li1, Jingyun Sha1, Lulu Cai1, Peng Wu2, and Kai Xu1 | ||
1Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Tumors, Diffusion Tensor Imaging, edema We evaluated the function of the human glymphatic system (GS) in patients with glioma using diffusion tensor imaging analysis along with the perivascular space (DTI-ALPS). Thirty-seven patients with glioma and 34 healthy controls (HCs) were recruited for analysis. We found that DTI-ALPS index on the ipsilateral lesion side was significantly decreased, but not on the contralateral side in glioma when compared with HCs. The decreased DTI-ALPS index was significantly correlated with the volume of peritumoral edema (PTBE), but not the volume of tumor. This study suggested the PTBE may be an independent factor that affects the GS in glioma patients. |
| 1569 | Computer 105
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The Value of Diffusion Weighted Imaging in Predicting the Growth Pattern of Meningioma: A Retrospective Study |
| Hui Zheng1, Zongmeng Wang1, Lingmin Zheng1, Rufei Zhang1, Yang Song2, and Lin Lin1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2MR Scientific Marketing, Siemens, Healthineers Ltd., Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques The natural history of meningioma remains unclear and a simple, practical method is needed to identify fast growth tumors. This study evaluated correlations between clinical parameters, tumor growth rate (TGR), tumor volume doubling time (VDT), Ki-67 and relative apparent diffusion coefficient (rADC) derived from diffusion weighted imaging (DWI). The results showed that rADC was an independent predictive parameter of meningioma growth and baseline rADC had a good predictive ability for differentiating slow growth from fast growth meningioma. This suggests that in asymptomatic meningiomas, DWI might be a valuable predictive imaging method. |
| 1570 | Computer 106
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Whole-Tumour Histogram Analysis of Multiple Diffusion Metrics for Meningiomas Grade |
| Dejun She1,2,3, Hao Huang1,2, Xiance Zhao4, and Dairong Cao1,2,3,5 | ||
1Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China, 2Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 3Key Laboratory of Radiation Biology of Fujian higher education institutions, First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 4Philips Healthcare, Shanghai, China, 5Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, First Affiliated Hospital of Fujian Medical University, Fuzhou, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques, Meningiomas; Diffusion-weighted MRI An accurate assessment of the World Health Organization grade is vital in meningiomas. While many studies have investigated the usefulness of conventional DWI and DTI for noninvasive grading intracranial meningiomas, there are neither any studies comparing three advanced diffusion model including DKI, MAP and NODDI with DTI for predicting meningioma grade. Thus, it is vital to evaluate whether these advanced models derived from diffusion spectrum imaging can also be beneficial in grading meningiomas. Our results suggested that whole tumour histogram analyses of the diffusion metrics from multiple diffusion models are promising methods in grading meningiomas. |
| 1571 | Computer 107
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Relative CBV Combined with Mean ADC in Assessing the Differential Between Glioblastoma and Primary Cerebral Lymphoma |
| Qi Lin1, Langlang Tang1, Yongzhou Xu2, and Peng Wu3 | ||
1Department of Radiology, Longyan First Hospital, Longyan, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Tumors, Cancer To further evaluate the efficacy of MRI in the differential diagnosis of glioblastoma (GBM) and primary cerebral lymphoma (PCL), this study retrospectively analysed rCBV and mADC-related data from patients with GBM and PCL and performed a quantitative comparison. The rCBV and mADC values were found to be significantly higher in the GBM group than in the PCL group. We diagnosed GBM when rCBV >23.2900 ml/100g or mADC >0.6550×10-3mm2/s, and the corresponding sensitivity, specificity, and predictive values were all high. This demonstrates the important clinical value of the combined application of mADC and rCBV for the definitive diagnosis of brain tumours. |
| 1572 | Computer 108
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The value of an apparent diffusion coefficient histogram model in predicting meningioma recurrence |
| Tao Han1, Junlin Zhou1, and Xianwang Liu1 | ||
1Lanzhou University Second Hospital, LanZhou, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques This study evaluated the feasibility of the model combining conventional MRI features and apparent diffusion coefficient (ADC) histogram parameters for predicting recurrent meningioma. The results showed that tumor shape and ADCp1 were independent risk factors for predicting meningioma recurrence after removing confounding factors by single and multiple logistic regression analysis. The logistic regression model nomogram constructed based on the above two risk factors for predicting meningioma recurrence, which had a higher predictive effect than a single risk factor. In conclusion, logistic regression model nomogram have important value in predicting meningioma recurrence and helping patients achieve the greatest survival benefit. |
| 1573 | Computer 109
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Differentiation of progressive disease from pseudo-progression using Synthetic MRI and MUSE-DWI in patients with glioblastoma. |
| Ruirui Lv1, Wenfu Ma1, Yuhui Xiong2, Peng Yong1, Jiarui Zheng1, Xuhong Yang1, and Xiaodong Wang3 | ||
1Ningxia Medical University, Yinchuan, China, 2GE Healthcare MR Research, Beijing, China, 3General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Tumors, Brain This work sought to investigate the performance of synthetic MRI(Sy-MRI) and MUSE-DWI in differentiating progressive disease (PD) from pseudo-progression (PsP). It was concluded that the pre-contrast T1(T1-pre) and post-contrast T1(T1-Gd) from synthetic MRI can be used as novel quantitative imaging biomarkers for discriminating PD from PsP. The combination of T1-pre, T1-Gd and ADC may explore as an effective strategy to improve the ability for discriminating PD from PsP, and provide a basis for clinical follow-up diagnosis and treatment. |
| 1574 | Computer 110
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Pre-treatment Turbo Spin-Echo (TSE) intravoxel incoherent motion (IVIM) predicts treatment outcome in nasopharyngeal carcinoma |
| Lijuan Qian1, Jie Yu2, Yuan Liu3, Peng Sun4, Manman Chen5, Xin Li5, and Fan Yang5 | ||
1Radiology, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China, 2Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China, Wuhan, China, 3Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wu, China, 4Philips healthcare,Beijing, Beijing, China, 5Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China |
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Keywords: Tumors, Head & Neck/ENT TSE-DWI-IVIM as a new and feasible method for predicting the early response to Induction Chemotherapy(IC) for NPC patients.Diffusion-related IVIM parameters (pre-D) might be and perfusion-related parameters (pre-f) can be helpful as potential imaging biomarkers of the therapeutic response to IC in NPC patients.
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| 1575 | Computer 111
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High b-value diffusion-weighted imaging of glioblastoma on an MR-Linac |
| Liam S. P. Lawrence1, Rachel W. Chan1, James Stewart2, Mark Ruschin2, Aimee Theriault2, Sten Myrehaug2, Jay Detsky2, Pejman J. Maralani3, Chia-Lin Tseng2, Hany Soliman2, Mary Jane Lim-Fat4, Sunit Das5, Greg J. Stanisz1,6, Arjun Sahgal2, and Angus Z. Lau1 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Department of Surgery, St. Michael's Hospital, Toronto, ON, Canada, 6Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland |
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Keywords: Tumors, Radiotherapy Hyperintense regions on high b-value DWI (HRDs) may reflect hypercellular tumour and are of interest for radiotherapy dose escalation. However, the extent to which diffusion restriction versus prolonged T2 creates these hyperintensities is not known. Additionally, the dynamics of HRDs during radiotherapy are not fully characterized. In 35 glioblastoma patients treated on a 1.5T MR-Linac, we found HRDs shrank during treatment and extended beyond the gross tumour volume. Apparent diffusion coefficient was reduced and T2 was elevated in HRD compared to the remainder of the clinical target volume, implying that both diffusion restriction and prolonged relaxation are responsible for HRDs. |
| 1576 | Computer 112
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The feasibility of arterial spin labeling imaging of intracranial tumors at 7T |
| Xiaoxiao Ma1, Kun Cheng1, Chenyang Zhao2, Jianxun Qu3, Chenxi Li1, Runze Li1, Caohui Duan1, Xiangbing Bian1, Danny JJ Wang2,4, and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 4Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Keywords: Tumors, Perfusion The goal of this study was to assess the feasibility of pseudo-continuous arterial spin labeling (pCASL) at 7T on patients with intracranial tumors. We found that 7T ASL imaging was feasible and had a higher resolution than 3T ASL imaging and therefore, may enable in vivo assessment of subtle changes and provides a valuable tool for early detection and mechanism investigation of neurovascular function impairments in patients with intracranial tumors. |
| 1577 | Computer 113
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7T metabolic MRI in three types of diffuse glioma |
| Sarah M Jacobs1, Evita C Wiegers1, Zahra Shams1, Jannie P Wijnen1, Peter W.A. Willems2, Pierre A Robe2, Angelika Mühlebner3,4, Wim Van Hecke3, Maeike Zijlmans2,5, Dennis WJ Klomp1, and Anja G van der Kolk1,6 | ||
1Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, Netherlands, 2UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Pathology, Amsterdam University Medical Center, location AMC, Amsterdam, Netherlands, 5Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, Netherlands, 6Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands |
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Keywords: Tumors, Tissue Characterization We combined metabolic magnetic resonance imaging (MRI) sequences at 7 Tesla (7T) to characterize glioma tissue and discover metabolic MRI profiles that could help delineate the extent of disease spread and determine molecular tumor subtypes preoperatively. Here we show the first preliminary results of three different diffuse glioma subtypes imaged with 1H MR spectroscopy (MRS), 31P 3D chemical shift imaging (CSI), glutamate chemical exchange saturation transfer (GluCEST) and quantitative susceptibility mapping (QSM). |
| 1578 | Computer 114
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Differentiation of High-Grade Gliomas from Solitary Brain Metastases in the Peritumoral Edema: using Combined Synthetic MRI and 3D-pCASL |
| Xin Ge1,2, Yuhui Xiong3, Min Li4, Xiaodong Wang5, and Jing Zhang2 | ||
1Second Clinical School, Lanzhou University, Lanzhou, China, Lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, Lanzhou, China, 3GE Healthcare MR Research, Beijing, China, Beijing, China, 4GE Healthcare MR Enhancement Application, Beijing, China, Beijing, China, 5Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China, Yinchuan, China |
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Keywords: Tumors, Tumor The main work of our research was to investigate the difference of quantitative MR metrics from synthetic MRI and 3D-pCASL including T1, T2, PD, CBF, and the multiparametric strategies that contained more than one of the metrics between high-grade gliomas (HGGs) from solitary brain metastases (SBMs) in the peritumoral edema. We found that the T1, T2, and CBF were useful metrics for differentiating HGGs from SBMs which were easily confounded with HGGs in daily diagnosis. Furthermore, combining T1, T2, and CBF further improved their diagnostic performance. |
| 1579 | Computer 115
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Detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status with a three-component diffusion model |
| Mengqiu Cao1, Xiaoqing Wang2, Fang Liu2, Ke Xue3, and Yongming Dai3 | ||
1Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 3MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Evaluation of the degree of malignancy of gliomas, including the histopathological and molecular features, is of great importance for neurosurgeons in making individualized operation plans before surgery. In our study, the clinical value of a three-component diffusion model in characterizing gliomas malignancy and IDH-1 mutation status was evaluated. Our results showed that the three-component diffusion model exhibited great potential in evaluating the phenotype and genotype of gliomas by providing more complex microstructural information and showed significantly optimal diagnostic performance than the mono-exponential, bi-exponential and DKI models. |
| 1580 | Computer 116
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Arterial spin labeling MRI can predict prognosis of patients with newly-diagnosed primary CNS lymphoma |
| Hao Wu1, Zhenwei Yao1, Bobin Chen2, Hui Kang2, Huaping Sun1, Yan Ren1, Shuguang Chu3, Na Lu1, Xianjing Zhao1, Jie Wu1, Yan Ma2, Yan Yuan2, Tianling Ding2, Zhiguang Lin2, Jingjing Ma2, Qing Li2, Xianjin Zhou4, Yiqian Zhu5, Tianyong Xu6, and Yong Zhang6 | ||
1Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, 2Department of Hematology, Huashan Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China, 4Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China, 5Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China, 6GE Healthcare, Shanghai, China |
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Keywords: Tumors, Arterial spin labelling, primary CNS lymphoma, cerebral blood flow, prognostic factor PCNSL is a heterogeneous and aggressive non-Hodgkin lymphoma with poor prognosis. The present study revealed that 3D-ASL MR perfusion imaging-derived rCBF values pre- and posttreatment can be used as predictors for patients with newly diagnosed PCNSL. Furthermore, this is the first study identifying rCBFmean as an independent predictor for overall survival. Different from the traditional prognostic scoring system, the study provided a noninvasive MRI technique that requires no contrast agent or radiation exposure. Inclusion of the 3D-ASL sequence in routine MRI protocols is highly recommended to help to optimize individualized treatment and improve prognosis. |
| 1581 | Computer 117
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Spatially Explicit Analysis of Tumor Hypoxia Heterogeneity from IVIM MRI Predicted Survival of Higher-Grade Glioma |
| Xiaoqing Wang1, Mengqiu Cao1, Yang Song2, Guang Yang3, and Yan Zhou1 | ||
1Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2MR Scientific Marketing, Siemens Healthineers Ltd. Shanghai, China, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Brain, Diffusion weighted MRI This study investigated the feasibility of spatially explicit analysis based on IVIM MRI to identify hypoxia-related habitats with higher-grade glioma, and to predict progress-free survival in patients. The results showed that spatial explicit analysis on IVIM MRI could be an appropriate method for distinguishing different hypoxic subregions in glioma. In addition, the volume percentage of less hypoxic habitats can effectively predict progress-free survival in higher-grade glioma. |
| 1582 | Computer 118
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Differentiation of intracranial solitary fbrous tumor from transitional meningioma using apparent difusion coefcient histogram analysis |
| Xianwang Liu1,2,3, Tao Han1,2,3, Hong Liu1,2,3, and Junlin Zhou1,2,3 | ||
1Department of Radiology, Lanzhou University Second Hospital, lanzhou, China, 2Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, lanzhou, China, 3Key Laboratory of Medical Imaging of Gansu Province, lanzhou, China |
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Keywords: Tumors, Quantitative Imaging, Solitary fibrous tumor, Transitional meningioma, Magnetic resonance imaging, Apparent diffusion coefficient, Histogram analysis This study investigates the value of whole volume apparent diffusion coefficient (ADC) histogram analysis in distinguishing intracranial solitary fibrous tumor (SFT) and transitional meningioma (TM). The method was to compare the differences between ADC histogram parameters in them and explore the relationships between these parameters and Ki-67 expression. Our research demonstrates that SFT with higher variance, lower AP1, and AP10. Significant correlations were observed between these parameters and Ki-67 expression. The best diagnostic performance was obtained by variance. Therefore, we consider that the whole volumetric ADC histogram analysis is a feasible tool for non-invasive distinguishing between SFT and TM. |
| 1583 | Computer 119
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Determination of Meningiomas Consistency by Histogram Analysis of Different Models of Diffusion-Weighted MR Imaging |
| Lingmin Zheng1, Zongmeng Wang1, Danjie Lin1, Yang Song2, Lin Lin1, and Yunjing Xue1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2MR Scientific Marketing, Siemens, Healthineers Ltd, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques The consistency of Intracranial tumors is crucial to determine the required surgical instruments as well as affecting the outcome of surgery, but no specific feature of conventional MRI is reliable in predicting the consistency of tumors. Histogram analysis of diffusion parameters has been successfully used in predicting the grade, subtype, and proliferative activity of meningiomas. This study prospectively evaluated and compared the potential of various diffusion metrics obtained from the mono-exponential model (MEM), bi-exponential model (BEM), and stretched exponential model (SEM)-based diffusion-weighted imaging (DWI) in predicting consistency of meningiomas. It was found that different models of DWI (MEM, BEM, and SEM) are useful in the differentiation between soft and hard meningiomas. However, Alpha obtained from SEM and fast-ADC from BEM are more promising diffusion parameters for predicting the consistency of meningiomas. |
| 1584 | Computer 120
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Automatic bundle-specific white matter fiber tracking tool for language related glioma resection |
| Yifan Yuan1, Shin Tai Chong2, Sanford Pin-Chuan Hsu3, Ying-Hua Chu4, Yi-Cheng Hsu5, Yu-Ting Ko2, Kuan-Tsen Kuo2, Ching-Po Lin2,6, and Jianping Song1 | ||
1Department of neurosurgery, Huashan Hospital Fudan University, Shanghai, China, 2Institute of Neuroscience, National Yang Ming Chiao Tung University, Hsinchu, Taiwan, Hsinchu, Taiwan, 3Department of neurosurgery, Taipei Veterans General Hospital, Taipei, Taiwan, 4MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 5MR Collaboration, Siemens Healthineers Ltd, shanghai, China, 6Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, shanghai, China |
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Keywords: Tumors, Diffusion Tensor Imaging Novel fiber tracking technology, based on diffusion imaging, can objectively reveal and visualize three-dimensional white matter tracts; through the cooperation of intraoperative navigation, it can help achieve maximum resection under the premise of ensuring function. We used an in-house developed software (DiffusionGo) specially designed for neurosurgeons. The fiber tracking result using DiffusionGo showed robust consistency with the surgical findings. We believe that this fully automatic processing pipeline provides the neurosurgeon with a solution that may reduce time costs and operating errors and improve care and surgical procedure quality across different neurosurgical centers. |
| 1703 | Computer 61
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A Novel Approach to Metabolic Imaging of Migraine and Post Traumatic Headache Using Full Brain 3D-MRSI |
| Simona Nikolova1, Todd Schwedt1, Yuxiang Zhou2, Brian Chong2, Gina Dumkrieger1, and Catherine Chong1 | ||
1Neurology, Mayo Clinic, Phoenix, AZ, United States, 2Radiology, Mayo Clinic, Phoenix, AZ, United States |
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Keywords: Traumatic brain injury, Spectroscopy, migraine, 3D-MRSI, PTH Magnetic resonance spectroscopy provides a means to quantify brain metabolites. Metabolites of interest are N-acetyl aspartate (NAA, neuronal marker), Choline (Cho, marker of cell membrane turnover), Myoinositol (Ins, astrocyte marker), Glutamate+Glutamine (Glx, neurotransmitters). Studies demonstrate metabolic changes associated with migraine such as increased Glx levels (signifying excitotoxicity), decreased NAA (suggestive of neuronal damage), as well as abnormal GABA in pain processing areas. The main goal of this work was to use using a novel, whole-brain three-dimensional magnetic resonance spectroscopy imaging (MRSI) technique to collect preliminary data on metabolic differences between migraine, post traumatic headache (PTH), and healthy controls. |
| 1704 | Computer 62
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Assessment of Glx and GABA levels in primary dysmenorrhea patients in menstruation and periovulatory phases |
| Xue Chen1, Zhou Huang1, Peng Wu2, and Yonggang Li1,3,4 | ||
1Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China, 2Philips Healthcare, Shanghai, China, 3Institute of Medical Imaging, Soochow University, Suzhou, China, 4National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, China |
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Keywords: Nerves, Brain The pathogenesis of primary dysmenorrhea (PDM) and the central nervous system (CNS) mechanisms leading to poorer mode and pain sensitization remain totally unclear, which was explored in our study using MEGA-PRESS. PDM patients showed significantly higher Glx level and mildly higher GABA+ level (not significantly) in ACC in menstruation phase. In menstruation phase, the SDS/PCS scores of the PDM patients had a positive correlation with ACC GABA+ levels. The imbalances in ACC GABA+/Glx levels in PDM patients in menstruation phase may be the mechanism mediating depressive symptoms and pain catastrophe.
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| 1705 | Computer 63
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Multi-parametric characterization of thalamic nuclei based on manual delineation using the Synthetic MPRAGE images |
| Alexa Gail Colinco1, Rosy Linda Njonkou Tchoquessi1, Steven Roys1, Li Jiang1, Prashant Raghavan1, Jerry Prince2, Rao P. Gullapalli1, and Jiachen Zhuo1 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Traumatic brain injury, Tissue Characterization The accurate delineation of thalamic nuclei is important in understanding the underlying pathophysiology associated with neurological disorders and in targeting specific thalamic nuclei in image guided interventions. However, sub-parcellation of the thalamic nuclei is challenging given the lack of contrast within the thalamus provided by conventional T1 or T2 images. In this study, we use synthesized MPRAGE images with different inversion time (TI) (SynTI) to accurately parcellate thalamic nuclei, as outlined by the Morel atlas. Additionally, we examined the distinct magnetic susceptibility and diffusion properties of individual nuclei, which can be used to further improve thalamic nuclei segmentation. |
| 1706 | Computer 64
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A longitudinal neuroimaging study in mice on the effects of chronic high altitude exposure and repetitive traumatic brain injury |
| Alexandru Korotcov1,2, Caroline A Browne2,3, Asamoah Bosomtwi1,4, Shalini Jaiswal1,2, Nathan Cramer2,5,6, Xiufen Xu2,6, Kathleen Whiting2,7, Cheryl D Stimpson2,8, Bernard J Dardzinski1,9, Daniel Perl8, Dara L Dickstein2,8, and Zygmunt Galdzicki6 | ||
1Department of Radiology and Radiological Sciences, Uniformed Services University, Bethesda, MD, United States, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States, 3Department of Pharmacology and Molecular Therapeutics, Uniformed Service University, Bethesda, MD, United States, 4Georgia Cancer Center, Augusta University, Augusta, GA, United States, 5Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, United States, 6Department of Anatomy, Physiology and Genetics, Uniformed Service University, Bethesda, MD, United States, 7Graduate Program in Neuroscience, Uniformed Service University, Bethesda, MD, United States, 8Department of Pathology, Uniformed Service University, Bethesda, MD, United States, 9National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, United States |
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Keywords: Traumatic brain injury, Preclinical, hypobaria, hypoxia, DTI, PET/CT, cerebral blood flow Chronic exposure to high altitude (HA) can lead to maladaptive physiological and pathological changes, resulting in an increased risk for neurological impairment. Whether the occurrence of mild traumatic brain injury (mTBI) at HA exacerbates neurobehavioral deficits remains uncertain. A series of experiments was conducted to test the impact of mTBI in the context of HA using established models of repetitive close head injury and simulated HA (5000m). A longitudinal study design was applied to identify the effects of chronic HA exposure (12 weeks) and mTBI in mice on neurobehavioral and neuroimaging biomarkers using PET and MRI. |
| 1707 | Computer 65
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Feasibility of diffusion tensor imaging of the brachial plexus using iZOOM |
| Takayuki Sada1, Hajime Yokota2, Ryuna Kurosawa1, Takafumi Yoda1, Keisuke Nitta1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Adam Wu4, Yoshitada Masuda5, and Takashi Uno2 | ||
1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare (Shanghai) Ltd., Shanghai, China, 5Chiba University Hospital, Chiba, Japan |
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Keywords: Nerves, Diffusion Tensor Imaging The brachial plexus is difficult to obtain diffusion tensor image (DTI) with good image quality due to the inhomogeneity of the magnetic field and motion artifacts. Zoom imaging based on 2D RF (iZoom) could both reduce the distortion dramatically and has better fat suppression effects. In this study, we compared DTI using conventional Zoom with that using iZoom for the brachial plexus and diffusion tractography with iZoom created higher mean length and fiber count than the conventional Zoom sequence, suggesting its feasibility as a new method for diffusion tensor imaging for the brachial plexus. |
| 1708 | Computer 66
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The effects of repetitive head impact exposure on cerebrovascular reactivity in middle and high-school athletes |
| Alexander D. Cohen1, Benjamin L. Brett2, Milan D. Patel1, Kelly D. Ristow1, Michael A. McCrea2, and Yang Wang1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Traumatic brain injury, fMRI, Cerebrovascular reactivity, Breath hold Cerebrovascular reactivity (CVR) can provide a marker of vascular injury. The effects of repetitive head impact exposure (RHIE) during contact sports remains to be fully elucidated. We investigated the effect of sport, time, and their interaction on CVR in contact sport (CS) and non-contact sport (NCS) middle school and high school athletes. There was a significant effect of time and a significant interaction effect between contact group and time on CVR with CVR decreasing pre to post season in the NCS group but remaining unchanged in the CS group. |
| 1709 | Computer 67
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Diagnostic value of combined DTI and DKI imaging for diffuse axonal injury of brain |
| Ke-ning XU1 and Wenjia Wang2 | ||
1Zhangjiakou First Hospital, Zhangjiakou Hebei, China, 2GE Healthcare, Beijing, China |
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Keywords: Traumatic brain injury, Brain The values of fractional anisotropy (FA) in diffusion tensor imaging (DTI) and the mean kurtosis (MK) and mean diffusivity（MD） values in diffusion kurtosis imaging (DKI) were used to analyze diffuse axonal injury of brain Injury (DAI). We explored the diagnostic value of these three parameters in DAI and found that MK was superior to FA and MD. DTI and DKI could quantitatively analyze the severity of DAI patients and reduce the misdiagnosis rate of DAI.
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| 1710 | Computer 68
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Validation of Diffusion MRI Biomarkers of Peripheral Nerve Degeneration in ALS |
| Margaret M. McCann1,2, Ethan Mathew1,3, Alberto Fuentes1, Samuel G. Ferrante1, Charles Quarles4, Richard D. Dortch1, and Gregory Turner1 | ||
1Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States, 2Biomedical Sciences, Creighton University, Omaha, NE, United States, 3School of Biological and Health System Engineering, Arizona State University, Phoenix, AZ, United States, 4Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Nerves, Diffusion Tensor Imaging ALS is a fatal, neurodegenerative disease that affects motor neurons. Assessment of disease progression is difficult and relies on tests that lack specificity/responsiveness. While imaging biomarkers may meet this need, previous work has focused on the motor neurons or skeletal muscles, with nerves that form the link between these tissues being largely understudied. Previous studies suggest DTI in human nerves may be sensitive to nerve degeneration in ALS and here we sought to validate these measures in a rat model. Preliminary findings showed a progressive decrease in FA, which correlated to the onset of motor neuron loss and muscle wasting. |
| 1711 | Computer 69
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Differentiation of brachial plexus caliber irregularities with simultaneous neurography and T2 mapping from MIXTURE |
| Hajime Yokota1, Takayuki Sada2, Ryuna Kurosawa2, Takafumi Yoda2, Koji Matsumoto2, Takashi Namiki3, Masami Yoneyama3, and Takashi Uno1 | ||
1Department of Diagnostic Radiology and Radiation Oncology, Chiba Univerisity, Chiba, Japan, 2Department of Radiology, Chiba Univerisity Hospital, Chiba, Japan, 3Philips Japan, Tokyo, Japan |
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Keywords: Nerves, Neurography Multifocal chronic inflammatory demyelinating polyneuropathy (CIDP) is characterized by asymmetrical and irregular nerve thickening. However, the nerves are sometimes irregular in caliber even without obvious neuropathy. MIXTURE can simultaneously acquire neurography and T2 mapping. The diameter and T2 values from MIXTURE were significantly wider and higher in multifocal CIDP than in cases with normal but irregular caliber (P = 0.029 and 0.004). The AUCs of ROC analyses were 0.889 and 0.972 in diameter and T2 values for differentiating the two groups. Diameter and T2 values acquired with MIXTURE help differentiate whether caliber irregularities in the brachial plexus are pathological. |
| 1712 | Computer 70
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Assessment of dynamic shear strain in the brain caused by mechanical transients using multi-scale MR elastography |
| Yuan Le1, Jun Chen1, Yi Sui1, Phillip J. Rossman1, Armando Manduca1, Kevin J. Glaser1, John Huston III1, Richard L. Ehman1, and Ziying Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Traumatic brain injury, Traumatic brain injury, Motion encoding gradient, transient motion To study how the human brain moves and deforms under a sub-injury level transient impact, we tested the feasibility of measuring in-vivo brain transient motion resulting from a small amplitude impact using the multi-scale MR Elastography technique. Transient motion was encoded by wavelet-based motion encoding gradients at two wavelet scales plus a scaling function, and displacement was calculated using the inverse Haar transform. Brain motion over a wide frequency range was detected and was found to be consistent with previous results from a much higher impact. |
| 1713 | Computer 71
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Characterization of a controlled cortical impact brain injury and metabolic changes using magnetic resonance spectroscopy |
| Asamoah Bosomtwi1, Roxan Ara2, Fengchong Kong2, Yujiao Lu3, and Krishnan M DHANDAPANI3 | ||
1Georgia medical College, Augusta, GA, United States, 2Georgia Cancer Center, Augusta University, Augusta, GA, United States, 3Neurosurgery, Augusta University, Augusta, GA, United States |
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Keywords: Traumatic brain injury, Spectroscopy Traumatic brain injury (TBI) diagnosis and treatment is a top priority for military medicine. Several preclinical models of TBI have been developed to help elucidate the etiology of brain injury but these models typically depend on behavioral outcomes to indicate injury severity. In this project we used magnetic resonance spectroscopy (MRS) to investigate a noninvasive, longitudinal technique to detect changes in brain metabolites after TBI
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| 1714 | Computer 72
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Altered resting state functional connectivity in high-contact sports |
| Mahta Karimpoor1, Marios Georgiadis1, Brian Mills1, Hossein Moein Taghavi1, Narvin Phouksouvath1, Maged Goubran2, Nicole Mouchawar1, Sohrab Sami1, Max Wintermark1, Charles Liu3, John Van Horn4, Gerald Grant5, David Camarillo6, and Michael Zeineh1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Neurological Surgery, University of Southern California, Los Angeles, CA, United States, 4Psychology, University of Virginia, Charlottesville, VA, United States, 5Neurosurgery, Stanford University, Stanford, CA, United States, 6Bioengineering, Stanford University, Stanford, CA, United States |
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Keywords: Traumatic brain injury, Brain Connectivity, high-contact sports, resting state functional connectivity Repetitive head impact exposure during contact sports may increase risk of cognitive decline and neurodegenerative disease. We compared resting state functional connectivity (rsFC) networks between a group of high-contact collegiate PAC-12 athletes and a low-contact group from two institutions (groups comprised athletes of multiple sports and both sexes). A community chi-squared analysis evaluated differences in connectivity within/between 12 brain networks comparing high- vs. low-contact sports. Across both institutions, rsFC in the high-contact cohort was significantly increased (hyperconnectivity) between dorsal attention and default mode network (DMN), and significantly decreased (hypoconnectivity) between dorsal attention and frontoparietal networks, compared to the low-contact cohort. |
| 1715 | Computer 73
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Association of brain macrostructural changes and objective sleep measures in military service members after a remote mild traumatic brain injury |
| Ping-Hong Yeh1, J. Kent Werner2,3, Rujirutana Srikanchana1, Kimbra Kenney1,2, Chihwa Song1, Treven Pickett1,2, Grant Bonavia1,2, and John Ollinger1,2 | ||
1National Intrepid Center of Excellence,Walter Reed National Military Medical Center, Bethesda, MD, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Walter Reed National Military Medical Center, Bethesda, MD, United States |
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Keywords: Traumatic brain injury, Traumatic brain injury In this study, we quantitated the size of white matter hyperintense (WMH), enlarged perivascular space (ePVS) and diffusion tensor imaging analysis along the perivascular space (DTI_ALPS) index in service members after a remote mild traumatic brain injury (mTBI), and associated them with objective sleep measures. There was no significant difference of the regional size of WMH, ePVS or hemispheric DTI_ALPS index between controls and mTBI. In mTBI participants, lifetime TBI/PCE events was associated amygdala-hippocampal complex ePVS load; and sleep arousal / awakening index was associated with temporal WMH load, periodic limb movement during sleep with basal ganglia WMH load. |
| 1716 | Computer 74
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Relationships of oxidative stress markers in the brain with circulating sex hormones |
| Jessica Busler1, Sarah Rose Slate2, Monica Foneska2, Huijun Liao2, Stanley Lyndon1, Jacob Taylor1, Alexander Lin1, and Pamela Mahon1 | ||
1Brigham and Women's Hospital/Harvard Medical School, Boston, MA, United States, 2Brigham and Women's Hospital, Boston, MA, United States |
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Keywords: Psychiatric Disorders, Spectroscopy, Oxidative Stress Oxidative stress is implicated in multiple psychiatric and neurodegenerative conditions, differs by biological sex and covaries with circulating estrogens. However, limited knowledge exists on the association of brain markers of oxidative stress via glutathione (GSH) with circulating sex hormones. Therefore, we conducted brain magnetic resonance spectroscopy, assayed blood serum for circulating sex hormones, and measured brain GSH-sex hormones associations. We found that dorsolateral prefrontal cortex GSH relates to estradiol in women and men and anterior cingulate cortex GSH relates to estradiol, estrone, and total testosterone in women. This study highlights the importance of considering sex in GSH MRS studies. |
| 1717 | Computer 75
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Pathological contrast enhancement in different brain diseases in synthetic T1-weigthed images derived from 3D quantitative transient imaging |
| Graziella Donatelli1,2, Gianmichele Migaleddu1, Matteo Cencini3, Paolo Cecchi1,2, Luca Peretti3,4, Claudio D'Amelio5, Guido Buonincontri3, Michela Tosetti2,3, Mirco Cosottini5, and Mauro Costagli3,6 | ||
1Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy, 2IMAGO 7 Research Foundation, Pisa, Italy, 3Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy, 4University of Pisa, Pisa, Italy, 5Neuroradiology Unit, University of Pisa, Pisa, Italy, 6DINOGMI, University of Genoa, Genoa, Italy |
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Keywords: Head & Neck/ENT, Contrast Agent Contrast enhancement, a marker of blood-brain barrier breakdown and active inflammation, provides crucial information in brain disease. Quantitative Transient Imaging (QTI) enables robust quantitative T1, T2 and PD mapping. 30 patients with brain tumors, multiple sclerosis and limbic encephalitis underwent a 3T-MRI brain exam which included conventional T1-weighted and QTI sequences acquired before and after contrast media administration. Synthetic T1-weighted images were obtained from the QTI maps. At radiological inspection, all pathological contrast enhancements in conventional images were visible in the synthetic T1-weighted images obtained from postcontrast QTI and showed the same patterns of contrast enhancement. |
| 1718 | Computer 76
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Micro Fiber Disruption and Thalamus GABA Level Reduction in Lifelong Premature Ejaculation |
| Jiaming Lu1, Xin Zhang1, and Bing Zhang1 | ||
1The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China |
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Keywords: Head & Neck/ENT, Metabolism In this study, we using non invasion GABA-edited MEGA-PRESS MRS and NODDI model to measure the GABA content in bilateral thalamus and the water diffusion pattern in premature ejaculation patient. The PE patients have more dispersed neurites in the right putamen, more hindered water, and less space within axons in the orbitofrontal cortex. The bilateral thalamus GABA content in PE group is significantly lower than NC group. These findings may help us have a better neuroimage upstanding of PE from micro-structure to metabolism level. |
| 1719 | Computer 77
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Interaction Between ACTH and Hippocampal Dynamic Functional Connectivity onPersonality Traits in Bipolar Disorder with Suicidal Attempt |
| Pan Chen1, Ying Wang1, Shuming Zhong2, Guanmao Chen1, and Long Qian3 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research, GE Healthcare, Guangzhou, China, 3MR Research, GE Healthcare, Beijing, China |
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Keywords: Neuroinflammation, Brain Connectivity The goal of this study was to investigate the underlying mechanisms of suicidal behavior by detecting the dynamic functional connectivity (dFC) variability of hippocampus and HPA axis activity, as well as their relationship with personality traits in BD with suicidal attempt (SA). We assessed the activity of the HPA axis by measuring morning plasma adrenocorticotropic hormone (ACTH) and cortisol (CORT) levels. All participants underwent personality assessment using Minnesota Multiphasic Personality Inventory-2. BD with SA exhibited increased dFC variability of the hippocampal-temporal cortex and less HPA axis hyperactivity, which may both together lead to the possibility of changes in personality traits. |
| 1720 | Computer 78
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Atrophy patterns of hippocampal subregions based on automated volumetry in Parkinson's disease with type 2 diabetes mellitus patients |
| Mingrui Qu1, Bingbing Gao1, Yuhan Jiang1, Yuan Li1, Lizhi Xie2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, China |
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Keywords: Nerves, Diabetes The objective of this study was to evaluate the atrophy pattern of the hippocampus subregions in Parkinson's disease with type 2 diabetes mellitus patients (PDDM) patients based on the 3DTI sequence and FreeSurfer software. The FreeSurfer provides extensive and automated neuroimaging analysis and has been successfully used to precisely segment the hippocampus. In this study, automated volumetry of hippocampal subfields in PDDM patients was performed, compared with Parkinson's disease without diabetes mellitus (PDND) patients and healthy controls . The results showed that PDDM patients have hippocampal subregions atrophy, especially in the right fimbria, right GC-ML-DG and right CA4. |
| 1721 | Computer 81
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Interaction of Alzheimer’s Disease Status and History of Traumatic Brain Injury on Measures of Cortical Thickness |
| Gina D'Souza1,2, Nathan W. Churchill2,3,4, Dylan X. Guan5, Marc A. Khoury1,2, Corinne E. Fischer1,2,6, and Tom A. Schweizer1,2,3,7,8 | ||
1Institute of Medical Science, University of Toronto, Toronto, ON, Canada, 2Keenan Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada, 3Neuroscience Research Program, St Michael's Hospital, Toronto, ON, Canada, 4Physics Department, Toronto Metropolitan University, Toronto, ON, Canada, 5Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, 6Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada, 7Division of Neurosurgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, ON, Canada, 8The Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Alzheimer's Disease, Traumatic brain injury Traumatic Brain Injury (TBI) is associated with an accelerated course of dementia, although biological relationships are still incompletely understood. We characterized the differences in cortical thickness, for Alzheimer’s Disease (AD) patients with and without a history of TBI. Among individuals diagnosed with AD, a history of TBI was associated with a smaller decrease in cortical thickness in frontal-temporal regions, relative to their non-AD counterparts, with analyses controlling for the effects of age, sex, and education. TBI may lower the susceptibility threshold for cognitive decline related to AD by decreasing an individuals’ ability to cope with aging and/or AD pathology. |
| 1722 | Computer 82
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Nigral volume as a marker for Lewy body pathology in Alzheimer’s disease |
| Jason Langley1 and Xiaoping Hu1,2 | ||
1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Bioengineering, University of California Riverside, Riverside, CA, United States |
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Keywords: Alzheimer's Disease, Dementia, lewy body Up to 60% of Alzheimer's disease cases have Lewy body pathology. In Alzheimer's disease, Lewy body pathology is associated with more rapid cognitive decline, parkinsonism, and younger symptom onset. In this abstract, we examine nigral volume in Alzheimer's disease patients and patients with mild cognitive impairment with Lewy body pathology. We find that cognitively impaired patients with Lewy bodies have greater neuronal loss in substantia nigra pars compacta as well as reduced nigral volume. |
| 1723 | Computer 83
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Vascular reactivity of the choroid plexus in non-atherosclerotic vasculopathy: choroid plexus activity as a possible marker of ischemic stress |
| Caleb J. Han1, Spencer Waddle1, Maria Garza1, L. Taylor Davis2, Jarrod Eisma1, Rohan Chitale3, Matthew Fusco3, Colin D. McKnight2, Sky Jones1, Lori C. Jordan1,4, and Manus J. Donahue1,2,5 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States, 5Psychiatry, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Neurofluids, Stroke, Moyamoya, glymphatic, choroid plexus, cerebrovascular reactivity, CSF This work applies hypercapnic reactivity and deep-learning techniques to evaluate choroid plexus (ChP) vascular compliance dependence on large arterial patency in intracranial vasculopathy. ChP reactivity was found to be preserved regardless of macrovascular vasculopathy, despite dependencies of resting ChP perfusion on cortical ischemia. Findings support the possibility that changes in resting ChP function in other studies in the presence of arterial vasculopathy and cerebral ischemia may be a response to circulating biochemical markers of ischemic stress, prompting the ChP to attenuate CSF production levels through feedback, rather than vascular mechanisms, to support glial health in ischemia. |
| 1724 | Computer 84
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White Matter Alterations Evident with DTI, DKI and Axonal Radius Measurements in Clinical Presentation of Chronic Symptomatic mTBI |
| Nastaren Abad1, Chitresh Bhushan1, Luca Marinelli1, Afis Ajala1, H. Doug Morris2, Ante Zhu1, Eric Fiveland1, Seung-Kyun Lee1, J Kevin DeMarco2,3, Robert Shih2,3, Maureen Hood2,3, Gail Kohls3, Kimbra Kenney2, Vincent Ho2, and Thomas K.F Foo1,2 | ||
1GE Research, Niskayuna, NY, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Walter Reed National Military Medical Center, Bethesda, MD, United States |
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Keywords: Traumatic brain injury, Diffusion/other diffusion imaging techniques Diffusion MRI based microstructural evaluation of DTI, DKI, and intra-axonal radii, enabled by the ultra-high performance MAGNUS gradients, was leveraged in this study to assess differences between healthy controls and chronic mild traumatic brain injury presentations. Parcel-wise group and brain WM asymmetry analysis highlighted specific sub-region involvement differing from healthy controls in evaluated metrics. Subject specific analysis highlighted specific anatomical regions that could be more susceptible in TBI with the effect size potentially masked with central tendency analysis. |
| 1725 | Computer 85
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Downfield 1H MRS can quantify age and hypoxia induced changes in brain NAD+ |
| Emine Can1, Baby Martin-McNulty1, Ganesh Kolumam1, and Johannes Riegler1 | ||
1Calico Life Sciences LLC, South San Francisco, CA, United States |
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Keywords: Neurodegeneration, Aging, Lifespan, Stroke, metabolism, Spectroscopy, Brain NAD+ is required for vital cellular processes such as redox regulation, DNA damage repair and cell signaling. There has been a growing interest in modifying NAD+ concentrations in the hope that it might increase longevity. However, there is no clear consensus on changes in NAD+ concentration due to healthy aging. Commonly used in vitro assays for NAD quantification are not suitable for longitudinal studies. We therefore implemented an in vivo downfield 1H MRS method to characterize NAD+ concentrations during aging in mice and showed that 1H MRS can detect hypoxia induced changes in brain NAD+ concentrations. |
| 1726 | Computer 86
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Elevated Magnetic Susceptibility Suggests Distinct Neurodegenerative Pathology in World Trade Center First Responders |
| Thomas Hagan1, Jia Ying1, Chuan Huang1,2, Minos Kritikos3, Sean Clouston3, and Benjamin Luft4 | ||
1Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Department of Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Program in Public Health and Department of Family, Population, and Preventative Medicine, Stony Brook Medicine, Stony Brook, NY, United States, 4Department of Medicine, Stony Brook Medicine, Stony Brook, NY, United States |
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Keywords: Neurodegeneration, Degenerative Mounting evidence has shown that first responders to the 9/11 terrorist attack on the World Trade Center(WTC) are developing early-onset dementia but the underlying pathology driving this remains to be understood. Our team assessed the relationship between cognitive impairment and susceptibility differences in the brains of responders for the first time using quantitative susceptibility mapping(QSM). While research on Alzheimer’s disease has reported changes in QSM across several regions, we found elevated susceptibility located in the amygdala of responders with CI. Our findings bolster evidence suggesting that WTC responders are experiencing unique pathology which could point to a novel neurodegenerative disease. |
| 1727 | Computer 87
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High resolution probabilistic in-vivo atlas of Nigrosome 1 |
| Marta Lancione1, Graziella Donatelli2,3, Matteo Cencini1, Paolo Bosco1, Mauro Costagli1,4, Mirco Cosottini5, Laura Biagi1, and Michela Tosetti1 | ||
1IRCCS Stella Maris, Pisa, Italy, 2IMAGO7 Foundation, Pisa, Italy, 3Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy, 4University of Genoa, Genoa, Italy, 5University of Pisa, Pisa, Italy |
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Keywords: Neurodegeneration, Neurodegeneration, Atlas, Nigrosome Iron accumulation in Nigrosome 1 (N1) may represent an important biomarker in neurodegenerative disorders but its small dimension and the vanishing swallow tail sign in patients make the segmentation of this region challenging. We propose a probabilistic atlas of N1 created on a multimodal (T1-w and T2*-w) template using ROIs that were manually drawn on 0.6mm-isotropic T2*-weighted images of twenty healthy subjects. Its usability and accuracy were tested on four additional subjects by comparing the mean N1 susceptibility and T2* obtained using the atlas to those obtained from manual ROIs and by measuring their geometrical proximity. |
| 1728 | Computer 88
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IRON OVERLOAD IN AMYOTROPHIC LATERAL SCLEROSIS: DIAGNOSTIC ACCURACY OF VISUAL AND AUTOMATIC ASSESSMENTS |
| Valeria Elisa Contarino1, Francesco Maria Lo Russo1, Giorgio Conte1, Claudia Morelli2, Francesca Trogu2, Silvia Casale1, Sara Sbaraini3, Luca Caschera1, Valentina Genovese1, Chunlei Liu4, Claudia Maria Cinnante2, Vincenzo Silani2, and Fabio Maria Triulzi1 | ||
1Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milano, Milano, Italy, 2Auxologico, Milano, Italy, 3ASST Santi Paolo e Carlo, San Carlo Borromeo Hospital, milano, Italy, 4UC Berkeley, Milano, Italy |
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Keywords: Neurodegeneration, Brain, motor cortex; quantitative susceptibility mapping; amyotrophic lateral sclerosis vVisual SWI-based and automatic QSM-based assessments show high diagnostic accuracy in UMN- predominant ALS |
| 1729 | Computer 89
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Altered Dynamic in Functional Connectivity Density in Amyotrophic Lateral Sclerosis: A Resting-State FMRI Study |
| Jia-Hui Lin1, Jia-Hui Lin1, Qiu-Yi Dong1, Yun-Bin Cao1, and Hua-Jun Chen1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China |
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Keywords: Neurodegeneration, fMRI (resting state) This is the first study on alterations in the patterns of dynamic functional connection density (dFCD) involving ALS. We obtained resting-state fMRI data from ALS and healthy controls (HCs). We calculated the functional connectivity (FC) and the functional connection density (FCD) value. dFCD was assessed by sliding-window correlation method. The standard deviation of dFCD can measure dFCD variability. The dFCD variability was reduced in some brain region in HC group, whereas increase was observed in some brain region of ALS patients. dFCD variability can distinguish two groups. ALS patients exhibit aberrant dynamic property in brain functional architecture. |
| 1730 | Computer 90
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Identifying multimodal imaging biomarkers: a framework exploring association of β-Amyloid Accumulation and Microstructural integrity at 7T |
| Mackenzie Langan1,2, Em Rose Triolo3, Oleksandr Khegai1,2, Carolina Ferreira-Atuesta4, Johnathan Sutkowski4, Trey Hedden4, Mehmet Kurt3, and Priti Balchandani2,5,6 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Mechanical Engineering, University of Washington, Seattle, WA, United States, 4Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Neurodegeneration, Diffusion Tensor Imaging, High-Field MRI Here we outline a preliminary method using a novel method which leverages UHF neuroimaging to measure detectable correlations in two measures: microstructural (mean diffusivity and fractional anisotropy) acquired at 7T and amyloid beta (β-amyloid) accumulation, acquired using 3T PET-MR.The combination of these methods aids in the ability to map tissue structure and achieve unprecedented visualization of the consequences of β-amyloid accumulation as it relates to neurodegenerative disorders. We show the feasibility of leveraging high resolution diffusion to advance out understand of the relationship between fractional anisotropy and mean diffusivity within brain regions that may be affected by β-amyloid deposition. |
| 1731 | Computer 91
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Assessment of Brainstem volume in Myalgic Encephalomyelitis/Chronic fatigue syndrome and long-COVID patients |
| KIRAN THAPALIYA1, Sonya Marshall-Gradisnik1, Markus Barth2, Natalie Eaton-Fitch1, and Leighton Barnden1 | ||
1Griffith University, Gold coast, Australia, 2The University of Queensland, Brisbane, Australia |
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Keywords: Neurodegeneration, Brain COVID -19 caused by the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has infected more than 600 million and caused the deaths of over six million people worldwide. The majority of the infected patients do not recover fully from the COVID-19 infections and develop post-COVID conditions also known as long-COVID has similar symptoms compared to Myalgic Encephalomyelitis/Chronic fatigue syndrome. In this study, we evaluated the volumetric changes in the brainstem regions in ME/CFS, long-COVID patients compared to healthy controls. Our study showed that brainstem volumes higher in ME/CFS and long-COVID patients compared to healthy controls. |
| 1732 | Computer 92
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Changes in the dynamic spontaneous neural activity of brain activity in minimal hepatic encephalopathy |
| Jia-Hui Lin1, Yun-Bin Cao1, Qiu-Yi Dong1, and Hua-Jun Chen1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China |
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Keywords: Neurodegeneration, fMRI (resting state) Amplitude of low-frequency fluctuation (ALFF) can identify abnormal regional neural activity in minimal hepatic encephalopathy (MHE). This work sought to evaluate the temporal variability of ALFF to reveal MHE-related alterations in the dynamics of spontaneous neural activity. Healthy controls and patients with cirrhosis [including MHE and without MHE (NHE)] were enrolled in this investigation. Utilizing a sliding-window approach to calculate the dynamic ALFF (dALFF) variability. The dALFF variability in some brain region progressively decreased from NHE to MHE group and it can distinguish NHE and MHE patients. Our findings highlight aberrant dynamic brain function in MHE. |
| 1733 | Computer 93
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Modifications of Large-Scale Resting-State Functional Connectivity in Spinocerebellar Ataxia Type 3 |
| Bing LIU1,2, Linwei Zhang3, Aocai Yang1, Jixin Luan1, Kuan Lv1, and Guolin Ma1 | ||
1Department of Radiology, China Japan Friendship Hospital, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3Department of Neurology, China Japan Friendship Hospital, Beijing, China |
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Keywords: Neurodegeneration, Brain Connectivity, functional MRI, independent component analysis, spinocerebellar ataxia type 3, large-scale brain networks, functional connectivity Large-scale resting-state functional network connectivity changes in spinocerebellar ataxia type 3 patients were found in both inter- and intranetwork functional connectivity. Especially, the increased intranetwork functional connectivity within the lateral visual network may potentially be a compensatory mechanism of visual-related symptoms in SCA3. |
| 1734 | Computer 94
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Mapping of neurodegenerative changes with Diffusion Tensor Imaging of Spinocerebellar ataxia type 1, 2 and 12 patients |
| Pankaj Pankaj1, S Senthil Kumaran1, Achal Kumar Srivastava2, Ramesh Kumar Agrawal3, Ajay Garg4, Ashima Nehra5, and Roopa Rajan2 | ||
1Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 2Neurology, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 3School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi- 110 067, New Delhi, India, 4Neuro-radiology, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 5Neuropsychology, All India Institute of Medical Sciences, New Delhi, New Delhi, India |
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Keywords: Neurodegeneration, Diffusion Tensor Imaging The study assessed changes in brain tissue microstructures in SCA type 1, 2 and 12 patients using diffusion tensor imaging. Our findings exhibited widespread reduced fractional anisotropy (FA), increased radial (RD) and axial diffusivity (AD) in SCA with respect to that in healthy subjects. FA was decreased in SCA1 and SCA2 in the superior and inferior longitudinal fasciculus, anterior thalamic radiation, inferior fronto-occipital fasiculus, forceps minor, corticospinal tract, cingulum, uncinate fasciculus as compared to controls. Abnormal white matter structure may be linked to cognitive and behavioural impairment in SCA 1 and SCA 2 patients. |
| 1735 | Computer 95
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Quantitative Susceptibility Mapping of cortical and subcortical brain regions in patients with REM sleep Behavior Disorder |
| Cristiana Fiscone1, Fiorina Bartiromo2, Luca Baldelli1, Luisa Sambati3, Serena D'Aniello4, Stefania Evangelisti1, Micaela Mitolo2,5, Claudia Testa2,6, Pietro Cortelli1,3, Raffaele Lodi1,2, Federica Provini1,3, and Caterina Tonon1,2 | ||
1Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 2Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 3Clinica Neurologica Rete Metropolitana, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy, 4Department of Advanced Biomedical Sciences, University of Naples Federico II, Napoli, Italy, 5Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy, 6Department of Physics and Astronomy, University of Bologna, Bologna, Italy |
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Keywords: Neurodegeneration, Brain, RBD REM sleep Behavior Disoder (RBD) is a parasomnia, possibly converting in a neurodegenerative α-synucleinopathy. We explored to role of iron accumulation in this condition exploiting Quantitative Susceptibility Mapping (QSM), a quantitative imaging technique returning susceptibility values voxel-per-voxel. RBD patients were compared to healthy controls; cortical and sub-cortical areas were segmented with automatic and semi-automatic methods and susceptibility distributions were compared. Significant increase of iron deposition resulted in multiple cortical areas, in the brainstem and in the gray matter nuclei of the limbic system, suggesting that QSM may help in identifying biomarkers that predict the conversion from RBD to neurodegeneration. |
| 1736 | Computer 96
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Free Water Imaging in deep gray matter nucleus of Wilson’s Disease |
| Xiao-Zhong Jing1, Gai-Ying Li2, Yu-Peng Wu3, Xiang-Zhen Yuan4, Jia-Lin Chen2, Reyisha Taximaimaiti1, Jian-Qi Li2, and Xiao-Ping Wang5 | ||
1Department of Neurology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 3East China Normal University, Shanghai, China, 4Department of Neurology, Weifang People's Hospital, Weifang, China, 5Department of Neurology, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniques, Wilson’s disease; free water imaging; quantitative susceptibility mapping. This is the first study to use a bi-tensor free water imaging to evaluate microstructural changes in deep gray matter (DGM) nuclei of Wilson’s disease (WD). Despite the shortcomings our study manifested that free water imaging detects microstructural alterations in both normal and abnormal appearing DGM nuclei of WD patients. Correlations between free water imaging indices and neurological impairment in WD patients were also noticed. Therefore, as a promising tool, free water imaging deserves further investigation in longitudinal studies to evaluate its role in monitoring disease onset, progression, and treatment efficacy in WD patients. |
| 1737 | Computer 97
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Predicting brain age using partition modeling strategy and Atlas-based attentional enhancement in Chinese population |
| Yang Yang1, Bingsheng Huang2, Yingqian Chen3, Yingtong Wu2, Chuxuan Lin2, Zhiyun Yang3, and Xia Liu4 | ||
1Department of Radiology, Suining Central Hospital, Suining, China, 2Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China, 3Department of Radiology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 4Department of Radiology, Shenzhen Kangning Hospital, Shenzhen, China |
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Keywords: Neurodegeneration, Neurodegeneration, Brain age, Partition modeling This study aimed to develop and construct a MRI-based full-age-range brain age prediction model that can be applied in the Chinese health care system. We proposed a brain age prediction method based on transfer learning and partition modeling , which was using Atlas attention enhancement. The performance of models with different image masks were compared and the model constructed based on top60% image mask achieved the best prediction performance. The brain age prediction method proposed in this study can provide objective brain age for assessing brain health status in Chinese population. |
| 1738 | Computer 98
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Abnormal effective connectivity of reward network in first-episode schizophrenia with auditory verbal hallucinations |
| Jingli Chen1,2, Yarui Wei1,2, Kangkang Xue1,2, and Jingliang Cheng1,2 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Magnetic Resonance Imaging, Zhengzhou, China |
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Keywords: Neurodegeneration, fMRI (resting state), Auditory verbal hallucinations /effective connectivity/ reward network/ dopamine Our study employs the dynamic causal modeling (DCM) approach to perform effective connectivity (EC) analysis of the reward network to investigate the mechanisms underlying schizophrenia patients with auditory verbal hallucinations (AVHs). This study enrolled 86 first-episode drug-naïve schizophrenia patients with AVHs (AVH), 93 patients without AVHs (NAVH), and 88 normal controls (NC), undergoing resting-state functional magnetic resonance. Our findings suggest that there are some common and different EC abnormalities in the reward network of AVH and NAVH. Particularly, the abnormalities of mesolimbic and mesocortex pathways in AVH may provide guidance for understanding the neurobiological mechanisms of AVHs and treatment. |
| 1739 | Computer 99
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Structural waste clearance markers in the elderly: sex differences in the relation between perivascular and parasagittal dural space volume |
| Merel M. van der Thiel1,2,3, Kilian Hett4, Nathalie A. Roos1,5, Colin D. Mcknight6, Melanie K. Leguizamon4, Sofia Venturini1,7, Inez H.G.B. Ramakers3,8, Walter H. Backes1,2,9, and Jacobus F.A. Jansen1,2,10 | ||
1Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands, 4Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 6Department of Radiology and Radiological sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 7Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 8School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, 9Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands, 10Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Neurodegeneration, Neurofluids, Sex differences, Perivascular spaces, Waste clearance Cerebral waste clearance reduces with healthy aging and occurs in various neurodegenerative diseases. Both perivascular spaces (PVS) and the parasagittal dural (PSD) space play important roles in waste clearance, where the former transports waste products through the parenchyma, the latter is associated with cerebrospinal fluid efflux from the cranial compartment. The current 7T MRI study investigated sex differences in the relation between PVS and PSD volume in an elderly sample. By identifying a relationship between PVS and PSD solely in females, this study illustrates the possibility of a different impairment mechanism of the clearance system between elderly men and women. |
| 1740 | Computer 101
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3D mTI-ASL perfusion for differentiating 1p/19q status in IDH1-mutant lower grade gliomas |
| Rui Wang1, Xianchang Zhang2, and Shaowu Li1 | ||
1Beijing Neurosurgical Institute/Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Tumors, Arterial spin labelling This study investigated the feasibility of using local maximum cerebral blood flow (maxCBF) in tumor area measured with multi-inversion-time ASL (mTI-ASL) to preoperatively predict the 1p/19q status in patients with IDH1-mutant lower-grade glioma (LGG). Mann-Whitney U test showed that maxCBF in the tumor region was significantly higher in 1p/19q Non-Codeleted group than Codeleted group. ROC showed maxCBF achieved high sensitivity (0.7) and specificity (0.737) in differentiation of IDH1-mutant-LGGs with distinct 1p/19q status. This finding suggested that ASL-derived maxCBF has the potential as a tool for the noninvasive preoperative characterization of 1p/19q status, thus providing evidence for individualized treatment planning. |
| 1741 | Computer 102
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Time-dependent diffusion-weighted imaging for differentiation between glioblastoma and brain metastasis |
| Kiyohisa Kamimura1, Tsubasa Nakano1, Tomohito Hasegawa1, Masanori Nakajo1, Hiroyuki Uchida2, Takashi Iwanaga3, Hiroshi Imai4, Thorsten Feiweier5, and Takashi Yoshiura1 | ||
1Radiology, Kagoshima University, Kagoshima, Japan, 2Neurosurgery, Kagoshima University, Kagoshima, Japan, 3Radiological Technology, Kagoshima University Hospital, Kagoshima, Japan, 4Siemens Healthcare K.K., Tokyo, Japan, 5Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques To investigate the utility of time-dependent DWI for differentiating between glioblastoma and brain metastasis, 65 patients with glioblastoma and 27 patients with brain metastasis were examined. ADC was not significantly different between the two tumor types neither at a short (7.1ms) nor at a long (44.5ms) diffusion time, whereas the ADC difference (ΔADCmean, ΔADC5, ΔADC95) and ADC change ratio (rADCmean, rADC5, rADC95) were significantly higher in brain metastasis than in glioblastoma. The ΔADCmean showed the best diagnostic performance. The ΔADCmean and rADCmean showed a significant negative correlation with ADC44.5msmean, but not with extracellular extravascular space volume fraction derived from DCE-MRI. |
| 1742 | Computer 103
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NODDI maximum abnormal signal area histogram analysis for differentiation between glioblastoma Multiforme and solitary brain metastasis |
| Jinbo Qi1, Xiaoyue Ma1, Peipei Wang1, Eryuan Gao1, Guohua Zhao1, Kai Zhao1, Yang Song2, Huiting Zhang3, Ankang Gao1, Jie Bai1, Yong Zhang1, and Jingliang Cheng1 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Magnetic Resonance Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China, 3Magnetic Resonance Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques, Neurite orientation dispersion and density imaging We aim to explore the value of neurite orientation dispersion and density imaging (NODDI) maximum abnormal signal area histogram analysis for differentiation between glioblastoma Multiforme (GBM) and solitary brain metastasis (SBM). 50 patients with GBM and 50 patients with SBM confirmed by surgical pathology were enrolled and underwent MR examination. Result showed that multiple histogram parameters can significantly distinguish GBM from SBM, and the performance of logistic regression model is better than that of optimal single parameter. |
| 1743 | Computer 104
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Combination of DKI and IVIM for differentiating True Progression from Pseudoprogression of Glioma with Postoperative Radiation Therapy |
| Pei Dang1, Xueying Huang2, Zhihua Yang3, Aijun Wang2, Lidong Wang4, Yuhui Xiong5, Xuhong Yang6, Minglei Wang2, and Xiaodong Wang7 | ||
1Radiology, General Hospital of Ningxia Medical University, yinchuan, China, 2General Hospital of Ningxia Medical University, Yinchuan, China, 3Radiotherapy, General Hospital of Ningxia Medical University, Yinchuan, China, 4Radiology, Yinchuan Hospital of Traditional Chinese Medicine, Yinchuan, China, 5GE Healthcare MR Research, Beijing, China, 6Ningxia Medical University, Yinchuan, China, 7Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Tumors, Cancer, Glioma;True Progression;Pseudoprogression;DKI;IVIM The differentiation of pseudoprogression from true progression remains a crucial diagnostic dilemma in glioma with postoperative radiation therapy.This work to explore the role of DKI combined IVIM in differentiating true progression and pseudoprogression in glioma. It was concluded that the MK and RK from DKI、D and D* from IVIM can be used as novel imaging biomarkers for Clinical and radiologists in differentiating glioma true progression from pseudoprogression. Combining MK, RK, D and D* may explore as an effective strategy to improve the ability for discriminating glioma true progression and pseudoprogression. |
| 1744 | Computer 105
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Effects of peritumoral T2 hyperintensities in treated gliomas on the quantification of tumour blood flow with arterial spin labeling. |
| Magdalena Sokolska1, James K Ruffle2, Meetakshi Gupta3, Julia Markus4, Michael Kosmin3, Hans Rolf Jäger 2, Parashkev Nachev2, and Harpreet Harpreet4 | ||
1Medical Physics and Biomedical Engineering, University College London Hospitals, London, United Kingdom, 2Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Radiotherapy, University College London Hospitals, London, United Kingdom, 4Imaging, University College London Hospitals, London, United Kingdom |
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Keywords: Tumors, Arterial spin labelling Elevated tumour blood flow in treated gliomas t can be indicative of disease recurrence. TBF can be visualised and quantified with arterial spin labelling with quantification performed by scaling a perfusion-weighted image by a proton density image and a brain-blood partition coefficient, assuming mapping to a fully relaxed blood magnetisation signal. However, this assumption might not hold in T2/FLAIR hyperintense areas surrounding enhancing tumour due to much higher water content. Therefore, this work investigates blood flow quantification in three tumour compartments, enabled by recent developments in AI-generated labels of tumour components. |
| 1745 | Computer 106
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Tumor habitat-derived diffusion spectrum imaging features in evaluating gliomas-A comparative study with DKI |
| Shanmei Zeng1, Zuliwei Ma1, Hui Ma2, Dingxiang Xie2, Yingqian Huang2, Mengzhu Wang3, Wenting Zeng1, Fangzeng Lin1, Zhiyun Yang1, Jianping Chu1, and Jing Zhao1 | ||
1Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China, 2Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 3MR Scientific Marketing, Siemens Healthineers Ltd., Guangzhou, Guangdong, China |
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Keywords: Tumors, Tumor Currently, in diffuse glioma, in addition to histopathology, the molecular features have an important role in glioma diagnosis. As a new computing framework for diffusion spectrum imaging (DSI), mean apparent propagator (MAP) could investigate more subtle information of tumor microstructures than the Gaussian diffusion models, while MAP has not been studied much in glioma. Besides, the analysis of tumor habitat could reflect the glioma heterogeneity. Hence, we aim to analyze the tumor habitat-derived MAP metrics and further explore their clinical value in glioma evaluation, meanwhile, we introduce Diffusion-kurtosis imaging (DKI) as a reference to compare the diagnostic efficiency of DSI. |
| 1746 | Computer 107
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Pretreatment Apparent Diffusion Coefficient Value for Prediction of Relapsed and Refractory Primary Central Nervous System Lymphoma |
| Ching-Chung Ko1,2, Lee-Ren Yeh3, and Jeon-Hor Chen4 | ||
1Chi Mei Medical Center, Tainan, Taiwan, 2Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan, 4Department of Radiological Sciences, University of California, Irvine, CA, United States |
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Keywords: Tumors, Cancer A subset of primary central nervous system lymphoma (PCNSL) may show early relapsed/refractory (R/R) disease after treatments. This study investigated the role of pretreatment apparent diffusion coefficient (ADC) values for the prediction of R/R in PCNSL. Total 52 patients with pathologically confirmed PCNSL were included, and 24 (46.2%) patients developed R/R (median time to relapse, 13 months) after treatment. The results showed female sex, complete response to first-line chemotherapy, and ADC value/ratio were significant predictors of R/R in PCNSL. Pretreatment ADC values/ratios offer objective and valuable evaluation for the treatment planning in PCNSL. |
| 1747 | Computer 108
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Classification of IDH mutation with Arterial Spin Labeling and Dynamic Susceptibility Contrast MRI in adult gliomas |
| Yeva Prysiazhniuk1,2, Andres Server3, Øystein Bech-Aase3, Eirik Helseth4, David Kala1,5, Roelant Sjouke Eijgelaar6, Elies Fuster-García7, Petter Brandal8,9, Atle Bjørnerud3, Jakub Otáhal1,2, Jan Petr10,11, and Wibeke Nordhøy3 | ||
1Department of Pathophysiology, the Second Faculty of Medicine, Charles University, Prague, Czech Republic, 2Laboratory of Developmental Epileptology, Institute of Physiology, Czech Academy of Sciences, Prague, Czech Republic, 3Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 4Oslo University Hospital, Department of Neurosurgery, Oslo, Norway, 5Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University, Prague, Czech Republic, 6Department of Neurosurgery, Amsterdam University Medical Center, Amsterdam, Netherlands, 7Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, Valencia, Spain, 8Department of Oncology, Oslo University Hospital, Oslo, Norway, 9Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway, 10Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 11Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Center, Amsterdam, Netherlands |
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Keywords: Tumors, Perfusion, Genetics IDH genotype status is an important marker in glioma diagnostics. Given that IDH mutation affects the tumor vascularization pattern, perfusion imaging has the potential to become a non-invasive tumor histopathology assessor. In this study, two methods of perfusion MRI – Dynamic Susceptibility Contrast (DSC) and Arterial Spin Labeling (ASL) – were compared in their ability to assess IDH mutation status. DSC- and ASL-derived perfusion maps correlated significantly and were feasible parameters in the IDH classification task. Mean tumor CBF quantified with ASL had the highest AUC score, sensitivity, and specificity, supporting the feasibility of using ASL in clinical glioma diagnostics. |
| 1748 | Computer 109
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Role of Diffusion Magnetic Resonance Imaging in Brain Meningioma |
| susmita shrestha1, Karuna Raya2, Nian Wang3, and Surendra Maharjan4 | ||
1Chitwan Medical College and Teaching Hospital, Chitwan, Nepal, 2Sharda University, Greater Noida, India, 3Indiana University School of medicine, Stark Neuroscience, IndianaPolis, IN, United States, 4Indiana University School of medicine, IndianaPolis, IN, United States |
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Keywords: Tumors, Brain Meningioma as an extra-axial tumor of meninges is difficult to interpret within brain interface using normal Magnetic Resonance Imaging sequence protocol. Recently, Various advancement in diffusion Magnetic Resonance Imaging (dMRI) techniques such as DTI (Diffusion Tensor Imaging), DKI (Diffusion Kurtosis Imaging) and NODDI (Neurite Orientation Dispersion and Density Imaging) has been utilized as an emerging diagnostic tool to measure the degree of mobility of water molecules within biologic tissue and investigate micro-structural integrity of the brain tissue. Thus, we aim to differentiate meningiomas from normal brain parenchyma using DTI, DKI and NODDI metrics. |
| 1749 | Computer 110
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Identification of IDH genotype and tumor subtype of adult-type diffuse gliomas based on WHO CNS5 using histogram features of QSM and ADC |
| Yifan Sun1, Zheting Yang1, Yang Song2, and Rifeng Jiang1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China |
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Keywords: Tumors, Quantitative Susceptibility mapping, Glioma; Isocitrate dehydrogenase; WHO CNS5 Preoperative prediction of glioma histological features and biological behavior is clinically important. However, few studies reported the histogram analysis of QSM in the isocitrate dehydrogenase (IDH) genotype and subtype of gliomas. In this study, we explored the value of histogram features of QSM and ADC in predicting the IDH genotype and tumor subtype of adult-type diffuse gliomas based on the fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System (WHO CNS5). We found that histogram parameters based on QSM and ADC are significantly related to the IDH genotype, tumor subtype, and proliferation of glioma. |
| 1750 | Computer 111
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Healthy and cancerous brain ADC: diffusion- and echo time dependence with pulsed gradient spin-echo (PGSE) diffusion imaging |
| Jens Johansson1, Kerstin Lagerstrand2,3, Isabella M Björk-Burtscher1,4, Mats Laesser1,5, Hanna Hebelka1,4, and Stephan E Maier1,6 | ||
1Radiology, Clinical sciences,Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 2Medical Radiation Sciences, Clinical sciences,Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, 3Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 4Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden, 5Sahlgrenska University Hospital, Gothenburg, Sweden, 6Radiology, Brigham and women's hospital, Boston, MA, United States |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques, Diffusion time Clinical systems vary widely in their gradient performance. Accordingly, effective diffusion time and echo time, which are minimized by the system software according to available gradient performance, can differ significantly among systems. A major concern is that non-Gaussian diffusion in tissues can lead to significant variation of the measured apparent diffusion coefficient (ADC), which would clearly diminish its value as biomarker. This study evaluated if diffusion and/or echo time variations in pulsed gradient spin-echo (PGSE) sequences significantly influences the ADC measured in healthy brain and brain tumors. |
| 1751 | Computer 112
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Intravoxel Tissue Heterogeneity Revealed by Non-Gaussian Time-Dependent Diffusion MRI and Its Correlation with Histology |
| Guangyu Dan1,2, Weiguo Li2,3,4, Kaibao Sun1, Qingfei Luo1, Muge Karaman1,2, and Xiaohong Joe Zhou1,2,5 | ||
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Research Resource Center, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Radiology, Northwestern University, Evanston, IL, United States, 5Departments of Radiology and Neurosurgery, University of Illinois College of Medicine, Chicago, IL, United States |
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Keywords: Tumors, Tumor, Glioma Recently, diffusion-weighted MRI has emerged for probing intravoxel structural heterogeneity non-invasively as an alternative to gold standard histopathological analysis. A previous study demonstrated the correlation between the imaging- and histology-based tissue heterogeneities using a continuous-time random-walk (CTRW) model at a single diffusion time. In this study, we extended the study to multiple diffusion times and investigated the diffusion time dependence of the CTRW parameters and their correlation with histology-based heterogeneity on human glioma tissues. Significant time dependency was observed in the CTRW parameters, providing practical insights into the selection of diffusion time when assessing tissue heterogeneity. |
| 1752 | Computer 113
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The application of high-resolution isotropic EPI DWI by CS with different acceleration factor in brain tumor |
| Mengting Duan1, Yi Zhu2, Qi Wang1, and Hui Liu1 | ||
1The Fourth Hospital of Hebei Medical University, Hebei, China, 2Philips Healthcare, Beijing, China |
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Keywords: Tumors, Cancer, EPI-DWI, Compressed SENSE It has been shown before that C-SENSE can improved the ss-EPI DWI image quality in higher spatial resolution. The aim of this paper is to achieve a high-resolution isotropic EPI DWI by CS and to investigate the impact of different acceleration factor(AF) on the diagnostic quality of brain metastases in comparison with SENSE EPI DWI. |
| 1753 | Computer 114
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Arterial Spin Labeling in Cerebral Gliomas During Breath-Holding |
| Sergio M. Solis-Barquero1,2, Marta Calvo-Imirizaldu1,2, Veronica Aramendia-Vidaurreta1,2, Rebeca Echeverria-Chasco1,2, Antonio Martinez-Simon3, Elena Cacho-Asenjo3, Marta Vidorreta4, Pablo D. Dominguez1,2, Reyes Garcia de Eulate1, and Maria A. Fernandez-Seara1,2 | ||
1Department of Radiology, Clinica Universidad de Navarra, Pamplona, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Department of Anesthesia, Perioperative Medicine and Critical Care, Clinica Universidad de Navarra, Pamplona, Spain, 4Siemens Healthcare, Madrid, Spain |
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Keywords: Tumors, Perfusion, Breath Holding PCASL was used to measure cerebral blood flow (CBF) in eighteen patients with high-grade gliomas (III and IV) during normal breathing followed by a breath-holding task (ten periods of 21s interleaved with periods of normal breathing) to assess baseline CBF and cerebrovascular reactivity (CVR). All patients completed the task successfully and CBF and CVR maps were generated. CBF ratio in contrast-enhanced tumor area was higher in grade IV than grade III gliomas, as expected. CVR in tumor areas was decreased compared to GM CVR values. More studies are needed to assess the CVR heterogeneity in tumoral tissue. |
| 1754 | Computer 115
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Preoperative ASL correlates with molecular markers of IDH and HIF-1α in glioma microenvironment and is predictive of patient outcome |
| Ruiwen Geng1, Yang Dong1, and Lizhi Xie2 | ||
1Radiology, The Second Hospital, Dalian Medical University, Dalian, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Tumors, Arterial spin labelling This study retrospectively analyzed the association between arterial spin labeling (ASL) and the molecular markers of isocitrate-dehydrogenase (IDH) mutation and hypoxia-inducible factor (HIF) -1α in glioma. The association of patients’ overall survival (OS) and progression-free survival (PFS) with quantization cerebral blood flow (CBF) from ASL, the imaging parameters from conventional MRI, clinical and pathological parameters were investigated in glioma. |
| 1755 | Computer 116
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Characterising glioma heterogeneity with diffusion-relaxation MRI and InSpect |
| Paddy J. Slator1, Rui V. Simoes2,3, Rafael N. Henriques2, Tânia Carvalho2, Daniel C. Alexander1, Noam Shemesh2, and Andrada Ianus2 | ||
1Centre for Medical Image Computing and Department of Computer Science, University College London, London, United Kingdom, 2Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 3Institute for Research & Innovation in Health (i3S), University of Porto, Porto, Portugal |
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Keywords: Tumors, Microstructure We characterise ex-vivo mouse brain tumours with combined T2-diffusion MRI and InSpect, a data-driven unsupervised learning technique that identifies distinct tissue components. We hence reveal heterogeneous tumour structures without imposing a biophysical model. |
| 1756 | Computer 117
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MR Varying Diffusion Curvature Imaging on Different Brain Tumors: A Preliminary Experience |
| Chuanshuai Tian1, Wentao Hu2, Yongming Dai2, Sixuan Chen1, Jianan Zhou1, Xin Zhang1, and Bing Zhang1 | ||
1Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Central Research Institue, United Imaging Healthcare, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Dozens of diffusion models have been created to describe the non-Gaussian nature of diffusion. Nevertheless, many of them imply assumptions that have not been rigorously confirmed, or includes abstract parameters. The purpose of this study was to observe the characteristics of varying diffusion curvature (VDC) indicators in several types of brain tumor. D0 and D1 distribution were obtained for each subject. This study illustrates the potential of applying a simple and pure empirical non-Gaussian diffusion model VDC on brain tumor imaging. |
| 1757 | Computer 118
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Perfusion and Time of Exchange Measurements Using BBB-ASL in Gliomas: The Initial Experience |
| Gülce Turhan1, Ayşe İrem Çetin1, Amnah Mahroo2, Beatriz Padrela3, Simon Kanstandin4,5, Daniel Christopher Hoinkiss2, Nora Josefin Breutigam2, Klaus Eickel2,5, Jan Petr6, Henk Mutsaerts3, Ayca Ersen Danyeli7, Koray Ozduman8, Matthias Guenther2,5, Alp Dincer9,10, and Esin Ozturk-Isik1,10 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 3Amsterdam University Medical Center, Amsterdam, Netherlands, 4Fraunhofer Institute for Digital Medicine MEVI, Bremen, Germany, 5mediri GmbH, Heidelberg, Germany, 6Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 7Department of Pathology, Acibadem University, Istanbul, Turkey, 8Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 9Department of Radiology, Acibadem University, Istanbul, Turkey, 10Brain Tumor Research Group, Acibadem University, Istanbul, Turkey |
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Keywords: Tumors, Arterial spin labelling Subtle changes in BBB integrity might be missed by contrast-enhanced T1-weighted MRI. Blood-brain barrier arterial spin labeling (BBB-ASL) is a new technique to assess BBB disruptions. In this work, we measured the cerebral blood flow (CBF) and exchange time (Tex) values of the tumor, normal-appearing white matter, and normal-appearing gray matter regions in gliomas using BBB-ASL technique. Our results indicated higher CBF and leakier BBB in contrast-enhanced regions of gliomas than in the normal-appearing GM. |
| 1758 | Computer 119
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Whole-tumor ADC Histogram Analysis in evaluating Tongue Squamous Cell Carcinoma heterogeneity and predicting Cervical Lymph Node Metastases |
| Xinying Li1, Ke Xue2, Xing Yang1,3, Yongming Dai2, Zhen Tian1, and Yingwei Wu1 | ||
1Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiao Tong University, School of Medicine, Shanghai, China, 2MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China, 3Shanghai Pulmonary Hospital, Shanghai, China |
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Keywords: Head & Neck/ENT, Diffusion/other diffusion imaging techniques Tumor heterogeneity occurred frequently in patients with SCC and associated with poor prognosis. Compared to clinic TNM stage or the histological grade, the histological heterogeneity has not been well addressed yet. Our results clearly demonstrated that higher incidence of CNM was observed in histological hetero-group than that in homo-group. whole-lesion ADC histogram metrics presented lower values in hetero-group and in CNM+ group. ADC75th and kurtosis were two independent prognostic factors for evaluating the CNM status. Whole-tumor ADC histogram offered an approach for detecting intra-tumoral heterogeneity and predicting cervical lymph node metastases status. |
| 1759 | Computer 120
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Time-Dependent OGSE Diffusion MRI with MAGNUS Ultra-High-Performance Gradient Coil for Microstructure Imaging in Glioma Brain Tumor Patients |
| Robert Shih1, Ante Zhu2, Raymond Huang3, J Kevin DeMarco4, H Douglas Morris1, Maureen Hood1, Nastaren Abad2, Chitresh Bhushan2, Thomas Foo2, and Vincent Ho1 | ||
1Uniformed Services University, Bethesda, MD, United States, 2GE Research, Niskayuna, NY, United States, 3Brigham and Women's Hospital, Boston, MA, United States, 4Walter Reed National Military Medical Center, Bethesda, MD, United States |
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Keywords: Tumors, Tissue Characterization The MAGNUS ultra-high-performance gradient coil delivers simultaneous 200 mT/m and 500 T/m/s performance on each axis, with higher peripheral nerve stimulation thresholds than whole-body gradient coils, which is particularly useful for diffusion MRI-based microstructure imaging. We used MAGNUS-enabled OGSE to assess shorter diffusion times and length scales <10 µm in four brain tumor patients with gliomas. We measured differences in time-dependent diffusivity between high-grade glioma and low-grade glioma, as well as between recurrent glioblastoma and treatment effects. The malignant lesions demonstrated greater time-dependence of diffusivity. Further investigation with additional subjects and histopathologic correlation may lead to future clinical applications. |
| 1898 | Computer 81
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Free Breathing δUTE Sequence for T2* Mapping of Lung in Healthy and Post-COVID Adults |
| Vadim Malis1, Yoshimori Kassai2, Won Bae1,3, Diana Vucevic1, Yoshiharu Ohno4, and Mitsue Miyazaki1 | ||
1Radiology, UC San Diego, San Diego, CA, United States, 2Canon Medical, Ōtawara-shi, Japan, 3VA San Diego Healthcare System, San Diego, CA, United States, 4Fujita Health University, Toyoake, Japan |
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Keywords: Pulse Sequence Design, Lung, UTE, Ultra-Short TE δUTE sequence collects multiple closely spaced short TE (<2ms) echoes resulting in a more accurate T2* mapping of anatomies with short T2 time. Application to lungs reveals inhomogeneities in T2* maps in post-COVID-19 adults. |
| 1899 | Computer 82
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Dysfunctional Respiratory Patterns in Symptomatic Post-Acute Covid-19 Patients on Dynamic High Temporal Resolution Free-Breathing Lung MRI |
| Lea Azour1, Artem Mikheev1, Henry Rusinek1, Mahesh Bharath Keerthivasan2, Mary Bruno1, William Moore1, and Hersh Chandarana1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2Siemens Medical Solutions, New York, NY, United States |
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Keywords: Lung, COVID-19 Dynamic high temporal resolution free-breathing MRI allows for quantification of respiratory duration, depth and rate—parameters separate from those provided by pulmonary function tests. Post-acute Covid patients with persisting cardiopulmonary symptoms demonstrated larger tidal area, longer duration of inspiration, and larger variability in respirations. |
| 1900 | Computer 83
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Persistent Abnormalities in Lung Water Density Observed After COVID-19 Recovery |
| Christopher Ellis Keen1, Justin Grenier1, Peter Šereš1, Robert Stobbe1, James White2, Christian Beaulieu1, Ian Paterson3, and Richard Thompson1 | ||
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada, 3Division of Cardiology, University of Alberta, Edmonton, AB, Canada |
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Keywords: Lung, COVID-19 The long term effects of COVID-19, including those affecting the lung, represent a new global health burden. Lung water density (LWD) MRI is an emerging quantitative technique that can be used to measure relative LWD (rLWD) in 3D. 187 patients were imaged 5 months after COVID-19 recovery using LWD MRI and were compared to 91 healthy controls. The COVID-recovered group displayed significantly higher mean rLWD values as compared to healthy controls. Additionally, local and global patterns of abnormally increased and decreased rLWD were observed in the COVID-recovered group. |
| 1901 | Computer 84
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Structural and Neuroradiological Findings in COVID-19 Patients with Post-COVID Neurological Symptoms with Ultrahigh Field 7T MRI |
| Shams Rashid1,2, Oleksandr Khegai1, Nathalie Jette3, Puneet Belani1, Puneet Pawha1, Sera Saju1, Ameen Al Qadi1, Allison Navis3, Brian Mathew3, Jonathan Goldstein3, Kapil Gururangan3, Qing Hao3, Anuradha Singh3, Jacqueline Becker4, Bradley Delman1, and Priti Balchandani1,2 | ||
1Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Infectious disease, COVID-19, Ultrahigh Field, hippocampal subfields, amygdala subnuclei We present preliminary findings of neuroradiological analysis and FreeSurfer-based cortical segmentation analysis which show changes in deep gray matter structures from ultrahigh field MR neuroimaging at 7T in patients with post-COVID neurological symptoms. 8 hippocampal subfields and 4 amygdala subnuclei had significantly increased volume in a cohort of 12 COVID-19 patients with post-COVID neurological symptoms compared to matched healthy controls. These changes may indicate neuroinflammation of the hippocampus and amygdala in COVID-19, which may be related to the neurological symptoms of memory impairment, “brain fog” and anxiety in our COVID patient cohort.
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| 1902 | Computer 85
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Structural Brain Differences and Cognitive Performance between patients with Long-COVID and Normal Recovery |
| Breanna Nelson1,2, Nishtha Parag1, Lea Farah1, Portia Kuivi1, Alysha Alimohamed1, Harneet Bariana1, Bella Way1, Catie Song1, Ava Grier1, Chiara DeMarni1, Jacob Stubbs1,2, Megan Harper1, Wayne Su1, Johnson Chen3, Jessamyn McKenzie1, Vesna Sossi1, Mypinder Sekhon3, Donna Lang1,2, Jonathan Stoessl1,3, Cheryl Wellington1, Noah Silverberg1,3, and William Panenka1,2 | ||
1University of British Columbia, Vancouver, BC, Canada, 2BC Children's Hospital Research Institute, Vancouver, BC, Canada, 3Vancouver Coastal Health, Vancouver, BC, Canada |
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Keywords: White Matter, COVID-19 Previous research suggests that COVID-19 infection may be associated with brain changes that are similar to a decade of aging.1 It is unknown whether symptom duration influences brain structure. We compared participants with COVID-19 symptoms for more than 2 months (long-COVID) (n=43) to participants who recovered within 2 months (normal recovery) (n=56). We assessed white matter with diffusion tensor imaging, regional brain volumes using Freesurfer, and cognition using the NIH Toolbox. Although the effect of age on MRI indices and cognition was readily detectable, we found no differences between long-COVID and normal recovery on brain structure or cognitive performance. |
| 1903 | Computer 86
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Application of Pulmonary Perfusion Analysis in Phenotyping COVID-19 Cardiopulmonary Disease with Magnetic Resonance Imaging |
| Andrew C. Lancaster1, Yoko Kato2, Chia-Ying Liu3, Yoshimori Kassai3, Jaclyn Sesso2, Joao A. C. Lima2,4, and Bharath Ambale-Venkatesh4 | ||
1School of Medicine, Johns Hopkins University, Baltimore, MD, United States, 2Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Canon Medical Systems Corporation, Otawara, Japan, 4Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Vessels, COVID-19, Perfusion Pulmonary perfusion analysis of cardiac magnetic resonance imaging in patients with previous COVID-19 may help phenotype patients with advanced cardiopulmonary disease. Lung perfusion analysis was performed and results were correlated with clinical data in patients who were treated for COVID-19 at Johns Hopkins institutions. Older age and hospitalization for COVID-19 were found to be related to worse pulmonary perfusion, as measured by the perfusion parameter 50% max intensity, suggesting that one long-term sequela of severe COVID-19 that requires hospitalization, particularly in older patients, is a global bilateral decrease in the speed at which the lungs are perfused. |
| 1904 | Computer 87
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MRI for characterization of cardiac function in suspected myocarditis as post-acute sequelae of COVID-19 |
| El-Sayed H. Ibrahim1, Jason Rubenstein1, Antonio Sosa1, Kevin Koch1, Jadranka Stojanovska2, and Ivor Benjamin1 | ||
1Medical College of Wisconsin, Milwaukee, WI, United States, 2New York University, New York, NY, United States |
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Keywords: Myocardium, COVID-19 Among COVID-19 induced cardiac complications, myocarditis has clinical significance because it can result in permanent myocardial damage which leads to poor outcome. In this study, we studied 65 consecutive COVID-19 patients who underwent cardiac MRI post COVID-19 due to concerns of post-COVID myocarditis or other cardiomyopathies, where MRI was used to identify suspected versus excluded myocarditis based on LGE and T1/ECV/T2 mappings. The results demonstrated the value of MRI systolic strain and diastolic strain rate as sensitive markers for early detection of subclinical cardiac dysfunction and characterizing the heart contractility pattern in high-risk patients with suspected myocarditis versus excluded myocarditis. |
| 1905 | Computer 88
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Blood-brain barrier breakdown in COVID-19 ICU survivors: a preliminary study |
| Wen Shi1, Dengrong Jiang2, Hannah Rando3, Shivalika Khanduja3, Zixuan Lin2, Kaisha Hazel2, George Pottanat2, Ebony Jones2, Cuimei Xu2, Doris D.M. Lin2, Sevil Yasar4, Sung-Min Cho5, and Hanzhang Lu1,2 | ||
1Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Neurology, Neurosurgery, Surgery, Anesthesiology, and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Infectious disease, COVID-19 COVID-19 affects multiple organ systems in the acute phase, however, limited knowledge is known about the long-term impact on the brain following COVID-19 pneumonia, especially for those severe COVID-19 ICU survivors. Here, we used a water-extraction-with-phase-contrast-arterial-spin-tagging (WEPCAST) MRI which can non-invasively measure BBB permeability to water. The results showed significantly higher permeability-surface-area product (PS) in COVID-19 ICU survivors, which provided preliminary evidence that there was a BBB breakdown in COVID-19 ICU survivors at 4 months after initial infection. |
| 1906 | Computer 89
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COVID-19 olfactory rehabilitation assessment through fMRI and VBM |
| Pablo García-Polo1,2, Angel Torrado-Carvajal2, Mar Jiménez3, Juan Bachiller3, Vicente Martínez3, Adolfo Toledano4, Cristina Gómez2, and Susana Borromeo2 | ||
1GE Healthcare, Madrid, Spain, 2University Rey Juan Carlos, Móstoles, Spain, 3Hospital Quironsalud Madrid, Pozuelo de Alarcón, Spain, 4Hospital Universitario Fundación Alcorcón, Alcorcón, Spain |
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Keywords: Infectious disease, COVID-19, Anosmia Olfactory fMRI has provided an objective assessment of olfactory function in normal brain and pathological subjects. Optimizing the fMRI acquisition is of paramount importance when studying olfactory areas due to high B0 inhomogeneities and thin cortical areas involved. Fully synchronizing the acquisition to the odorants delivery with patient respiration increases the effectiveness of the experiment. Using this technique in COVID-19 patients with anosmia could determine the correct rehabilitation therapy for these subjects and new treatment pathways. |
| 1907 | Computer 90
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Cardiovascular Magnetic Resonance Imaging Appearance During the Acute, Intermediate and Convalescent Phase of COVID-19 Patient |
| Yufan Qian1, Weibo Chen2, Yan Zhou1, Lei Zhao3, and Lian-Ming Wu1 | ||
1Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Beijing Anzhen Hospital, Capital Medical University, Shanghai, China |
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Keywords: Heart, COVID-19, review The purpose is to find the cardiac involvement features of COVID-19 using cardiac MRI, and set forth the relationship of these cardiac features with their clinical presentation. We analyzed the results under the separate cardiovascular magnetic resonance sequences combining different stages, as well as consider the unique conditions when cardiovascular signs and symptoms are present. |
| 1908 | Computer 91
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Potential brain neural mechanisms underlying Long-COVID-19 syndrome |
| Tingting Pan1,2, Yaping Wu2, Xuan Yu2, Yan Bai2, and Meiyun Wang1,2 | ||
1Henan academy of sciences, Zhengzhou, China, 2Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Brain Connectivity, COVID-19 The neural mechanisms underlying the neuropsychiatric disorders suffered by Long-Covid-19 patients remain unknown. Non-invasive [18F]-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) brain imaging is an effective way to study this issue. In the present study, based on 18F-FDG PET brain imaging and analysis of the brain metabolic network, we found significant reductions in metabolic levels in the frontal, temporal, and parietal lobes in patients with Long-Covid-19. A significant reduction in metabolic connectivity between temporal and frontal networks in patients with Long-Covid-19 may be the underlying neural mechanism underlying cognitive impairment. |
| 1909 | Computer 92
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Frontal-specific elevation of cerebral oxygen extraction fraction in COVID-19 ICU survivors: a pilot study |
| Dengrong Jiang1, Hannah Rando2, Shivalika Khanduja2, Jie Song3, Kaisha Hazel1, George Pottanat1, Ebony Jones1, Cuimei Xu1, Wen Shi4, Zhiyi Hu4, Doris Lin1, Sevil Yasar5, Sung-Min Cho2, and Hanzhang Lu1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins University School of Engineering, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Infectious disease, COVID-19 Compared to patients with mild COVID-19 disease, critically ill patients requiring intensive-care-unit (ICU) admission are at higher risk of developing post-acute COVID-19 syndrome (PCS). The mechanisms underlying PCS are under investigation and may involve neurovascular damage, which can disrupt oxygen delivery and utilization in the brain. Cerebral oxygen-extraction-fraction (OEF) is an important parameter for the brain’s oxygen utilization. In this work, we evaluated the post-acute changes of regional OEF in COVID-19 ICU-survivors, and found that ICU-survivors had significantly increased OEF in the frontal lobe compared to controls. This suggests that regional OEF may provide a sensitive biomarker in studying PCS. |
| 1910 | Computer 93
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Repeatability of Quantitative Measures in Long COVID using Hyperpolarized 129Xe MRI |
| Keegan Staab1, Jonathan Percy2, Andrew D. Hahn3, Stanley J. Kruger3, Alejandro P. Comellas4, Jessica C. Sieren3, Eric A. Hoffman3, and Sean B. Fain3 | ||
1Biomedical Engineering, University of Iowa, Iowa City, IA, United States, 2Physics, University of Iowa, Iowa City, IA, United States, 3Radiology, University of Iowa, Iowa City, IA, United States, 4Internal Medicine, University of Iowa, Iowa City, IA, United States |
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Keywords: Lung, COVID-19 Repeatability visits with hyperpolarized 129Xe MRI of ventilation and gas exchange measures were acquired at baseline and 3-6 weeks after baseline in patients with persistent dyspnea, fatigue, and neurocognitive symptoms (“Long” COVID). Findings did not support the same repeatability of measures found in a previous study of IPF, suggesting instability of pulmonary pathophysiology is a characteristic of Long COVID. |
| 1911 | Computer 94
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Evident Cerebral Perfusion Recovery in COVID-19 Patients: Results Based on Arterial Spin Labeling MRI |
| Yu Shen1,2, Xianchang Zhang3, Yaping Wu1,2, Yan Bai1,2, Wei Wei1,2, Lijuan Chen1,2, and Meiyun Wang1,2 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China, 2Henan Key Laboratory of Neurological Imaging, Zhengzhou, China, 3MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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Keywords: Neuroinflammation, COVID-19, perfusion，follow up COVID-19 may affect the brain of patients, ranging in severity from confusion to life-threatening strokes. This study investigated the potential cerebral perfusion change in COVID-19- infected patients using pseudo-continuous arterial spin labeling (pCASL) sequence by follow up after patients recovered for 4, 12 and 18 months. It’s found that both cerebral blood flow (CBF) and bolus arrival time (BAT) values derived from pCASL demonstrated an increasing tendency over time in several brain areas in COVID-19 survivors after whole brain analysis. Our findings indicated that COVID-19 survivors may experience compensatory brain function recovery and this recovery process would be slow. |
| 1912 | Computer 95
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Quantitative pulmonary perfusion in patients with COVID-19 using dynamic contrast enhanced MRI at 0.55T |
| Adrienne E Campbell-Washburn1, Shreya M Kanth2, Julio A Huapaya2, Matthew Thurston1, Christine Mancini1, Kendall J O'Brien1, Amanda Potersnak1, Haiyan Wang1, David Regenold3, Scott Baute1, Marcus Y Chen1, Ahsan Javed1, and Anthony F Suffredini2 | ||
1National Heart, Lung, and Blood Insitute, National Institutes of Health, Bethesda, MD, United States, 2Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 3National Institute of Allergy and Infection Diseases, National Institutes of Health, Bethesda, MD, United States |
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Keywords: Lung, COVID-19 COVID-19 infection has been reported to cause pulmonary perfusion defects associated with pulmonary embolism and infiltrates. We used quantitative dynamic contrast enhanced 0.55T MRI, with pharmacokinetic modelling, to monitor lung perfusion longitudinally in 139 patients with COVID-19. We observed significant associations between disease severity and perfusion during the convalescent phase (91-365d post symptom onset); and between abnormal perfusion during the acute phase (0-40d) and low pulmonary function later during recovery. Quantitative pulmonary perfusion measured by MRI may be a useful metric to study patients with COVID-19 infection, and early results suggest long-term perfusion abnormalities in patients with severe disease. |
| 1913 | Computer 96
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Investigating the effects of Long COVID on cerebrovascular reactivity using VASO at 3T |
| Sharyfah Alasiri1,2, Elisa Zamboni2,3, Isaac Watson2,4, Heather Owston5, Heidi Baseler3,6, Dennis McGonagle7, and Aneurin Kennerley2,8 | ||
1Biomedical Sciences, University of York, York, United Kingdom, 2York Neuroimaging Centre, University of York, York, United Kingdom, 3Psychology, University of York, York, United Kingdom, 4School of Physics, Engineering, and Technology, University of York, York, United Kingdom, 5Medical and Biological Engineering, University of Leeds, Leeds, United Kingdom, 6Hull York Medical School, University of York, York, United Kingdom, 7School of Medicine, University of Leeds, Leeds, United Kingdom, 8Institute of Sport, Manchester Metropolitan University, Manchester, United Kingdom |
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Keywords: Blood vessels, COVID-19, cerebrovascular reactivity Strategies to help sufferers from Long COVID (LC) mostly focus on symptoms management. There is an urgent need for understanding whether and how the cerebrovascular system is implicated in emergent symptoms. Here we use advanced cerebral blood volume (CBV)-based imaging techniques to appropriately quantify changes in vascular reactivity in patients affected by LC compared to healthy volunteers. A slower vasodilation mechanisms, leading to inappropriate oxygen supply during neuronal function, could be used as biomarker and help clinical diagnosis. |
| 1914 | Computer 97
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129Xe MRI Ventilation Predicts Longitudinal Quality-of-Life Improvement in Post-Acute COVID-19 Syndrome |
| Harkiran K Kooner1,2, Maksym S Sharma1,2, Marrissa J McIntosh1,2, Inderdeep Dhaliwal3, J Michael Nicholson3, and Grace Parraga1,2,3 | ||
1Department of Medical Biophysics, Western University, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Division of Respirology, Department of Medicine, Western University, London, ON, Canada |
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Keywords: Hyperpolarized MR (Gas), Lung Post-acute COVID-19 syndrome (PACS) is an umbrella term for symptoms and poor quality-of-life, four weeks+ after acute COVID-19 infection, reported in up to 30% of COVID-19 survivors. The longitudinal trajectory of PACS remains largely unknown. 129Xe MRI ventilation defects did not help to explain longitudinal quality-of-life outcomes in PACS and thus, texture analysis was used to evaluate potential ventilation features that could explain quality-of-life. We identified the 129Xe MRI ventilation texture features that predicted clinically relevant quality-of-life improvements 15-months post-infection, outperforming clinical models. These findings also suggest that ventilation texture features capture underlying pathophysiology not reflected by ventilation-defect-percent. |
| 1915 | Computer 98
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Leakage phase perfusion in healthy volunteers and subjects post-COVID-19: results from the C-MORE study |
| Paul John Clifford Hughes1, Laura Saunders1, Louise V Wain2,3, Christopher E Brightling2, Stefan Neubauer4,5, Betty Raman4, C-MORE/PHOSP-COVID Collaborative Group6, and Jim Wild1 | ||
1POLARIS, University of Sheffield MRI Unit, IICD, The University of Sheffield, Sheffield, United Kingdom, 2Institute for Lung Health, Leicester NIHR Biomedical Research Centre, University of Leicester, Leicester, United Kingdom, 3Department of Health Sciences, University of Leicester, Leicester, United Kingdom, 4Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom, 5Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 6Full group details can be found in Appendix 1 of, https://doi.org/10.1016/S2213-2600(21)00383-0, London, United Kingdom |
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Keywords: Lung, Lung Disruption to pulmonary perfusion is seen in several diseases, with most work focusing on the first-pass to calculate metrics of pulmonary blood volume and flow and mean transit time. The additional information from the leakage-phase acquisition has shown utility in multiple organs but it is less commonly used in the lung. This work aimed to assess the differences between fitting data with and without the first-pass bolus to estimate the volume transfer constant and fractions of blood in the extravascular-extracellular space and plasma in a multicentre setting. |
| 1916 | Computer 99
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Single-shell diffusion MRI for imaging white-matter microstructure in COVID-19: DTI vs. correlated diffusion imaging |
| Nick Teller1, Jordan A. Chad1,2, Alexander Wong3, Hayden Gunraj3, Xiang Ji4, Bradley J. MacIntosh2,4, Asaf Gilboa1,5, Eugenie Roudaia1, Allison B. Sekuler1,5, Benjamin Lam4, Chris Heyn4, Sandra E. Black4, Simon J. Graham2,4, and J. Jean Chen1,2,6 | ||
1Rotman Research Institute, North York, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Department of System Design Engineering, University of Waterloo, Waterloo, ON, Canada, 4Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, ON, Canada, 5Department of Psychology, University of Toronto, Toronto, ON, Canada, 6Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada |
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Keywords: Data Analysis, Diffusion/other diffusion imaging techniques, Correlated diffusion imaging, single-shell diffusion MRI. This study examines microstructural white-matter differences between self-isolated COVID-19 patients and controls using correlated diffusion (CDI) and diffusion-tensor imaging (DTI) based on single-shell acquisitions. Correlated diffusion imaging reveals microstructural differences between patients and controls in frontal, olfactory, and cerebellar regions previously unseen with diffusion-tensor imaging. Our results suggest CDI as a feasible single-shell imaging technique that is sensitive to distinct impacts in various brain regions. |
| 1917 | Computer 100
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End-of-life symptoms and imaging signs in COVID-19 patients with renal failure induced encephalopathy |
| Li Jiang1 and Yulin Ge1 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: Neuroinflammation, Toxicity, Encephalopathy, COVID, renal, toxic COVID-19 continues to be a threat to global public health. A large number of studies have reported various neurological symptoms in COVID-19 patients even after the respiratory symptoms have resolved. In severe cases, the neurological complications induced by SARS-CoV-2 can lead to extensive neuroimaging abnormality. Additionally, previous studies have shown that, among COVID-19 patients who went through dialysis, the short-term mortality rate is high. In this study, we reported three cases of deceased patients who had severe encephalopathy while going through dialysis, to better understand their fatal disease course and associated brain MRI and clinical symptoms complicated by COVID-19. |
| 1918 | Computer 101
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T2 mapping with GRAPPATINI for the characterization of adult-onset and juvenile-onset Huntington Disease |
| Maria Eugenia Caligiuri1, Maria Celeste Bonacci1, Tobias Kober2, Domenico Zacà3, Ferdinando Squitieri4,5, Aldo Quattrone1, and Umberto Sabatini1 | ||
1Neuroscience Research Center, Università degli Studi Magna Graecia di Catanzaro, Catanzaro, Italy, 2Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 3Siemens Healthcare, Milan, Italy, 4Italian League for Research on Huntington Disease, Rome, Italy, 5IRCSS Casa Sollievo della Sofferenza/CSS-Mendel, Rome, Italy |
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Keywords: Neurodegeneration, Rare disease, Huntington Disease T2 mapping is a quantitative MRI technique that may provide further insight regarding the changes that differentially underlie Huntington Disease in two of its clinical forms, adult-onset and juvenile-onset. Here we present pilot evidence that the study of T2 properties of the brain might be of great benefit to the research focused on this rare disease. |
| 1919 | Computer 102
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Blood-brain barrier permeability changes over the lifespan |
| Beatriz Padrela1, Markus H Sneve2, Sanne Zelhorst1, Mervin Tee3, Amnah Mahroo4, Joost Kuijer1, Kristine Walhovd2, Simon Konstandin4, Klaus Eickel4,5, Frederik Barkhof1,6, Saima Hilal3, Matthias Günther4, Henk J.M.M. Mutsaerts1, and Jan Petr7 | ||
1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Department of Psychology, Center for Lifespan Changes in Brain and Cognition, Oslo, Norway, 3National University of Singapore and National University Health System, Saw Swee Hock School of Public Health, Singapore, Singapore, 4Fraunhofer-Insitute for Digital Medicine MEVIS, Bremen, Germany, 5mediri GmbH, Heidelberg, Germany, 6University College London, Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), London, United Kingdom, 7Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany |
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Keywords: Neurodegeneration, Arterial spin labelling, Blood-brain barrier Blood-brain-barrier (BBB) dysfunction is a hallmark of aging-related disorders, including cerebral small vessel disease and Alzheimer’s disease. An emerging biomarker of BBB dysfunction is time of exchange (Tex) of water across the BBB as measured by multi-echo arterial spin labeling MRI. We evaluated Tex across the age spectrum in 40 adults from two cohorts of healthy controls, and demonstrated that Tex is higher in gray than in white matter, higher in females than in males, and that Tex decreases with age. These findings suggest that BBB permeability changes over the lifespan can be investigated using arterial spin labeling approaches. |
| 1920 | Computer 103
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Choroid plexus volume can predict dementia conversion in non-dementia older subjects |
| Won Jin Moon1, Younghee Yim2, Byeong Kyu Park1, Jinho Yang1, Yeonsil Moon3, Seol-Heui Han3, Hee-Jin Kim4, and Jongho Lee5 | ||
1Radiology, Konkuk University Medical Center, Seoul, Korea, Republic of, 2Radiology, Chung-Ang University hospital, Seoul, Korea, Republic of, 3Neurology, Konkuk University Medical Center, Seoul, Korea, Republic of, 4Neurology, Hanyang University Hospital, Seoul, Korea, Republic of, 5Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of |
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Keywords: Neurodegeneration, Alzheimer's Disease Prediction or prevention of progression to dementia for non-demented patients is critical for management and prevention strategy of dementia. Recent evidences suggest that larger choroid plexus (CP) volume was associated with the severity of cognitive impairment in Alzheimer disease (AD) spectrum. We evaluated clinical data and the volume, permeability and susceptibility of choroid plexus of 62 consecutive non-demented prospective cohorts with follow-up up to 2 years. Dementia converter group showed larger CP volume than that of non-converters. Thus, CP volume could be utilized as a potential imaging marker for patients who are likely to progress to dementia. |
| 1921 | Computer 104
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Identification of brain alterations specifically associated with Duchenne Muscular Dystrophy using multi-modal MRI and multivariate analysis |
| Denis Peruzzo1, Tommaso Ciceri1, Sara Mascheretti2, Valentina Lampis3, Filippo Arrigoni4, Nivedita Agarwal1, Alice Giubergia1, Filippo Maria Villa3, Alessandro Crippa3, Maria Nobile3, Elisa Mani3, Annamaria Russo5, and Maria Grazia D'Angelo5 | ||
1Neuroimaging Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy, 2Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 3Child Psychopathology Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy, 4Paediatric Radiology and Neuroradiology Department, V. Buzzi Children’s Hospital, Milano, Italy, 5NeuroMuscular Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy |
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Keywords: Neurodegeneration, Genetic Diseases Duchenne Muscular Dystrophy (DMD) is a genetic disease caused by an abnormal dystrophin expression and it is often associated with other cognitive and behavioral impairments, which are an important confounding factor while investigating the effects of dystrophin abnormal expression in the central nervous system. We applied a Machine Learning based analysis to T1-weighted and Diffusion Tensor Imaging data of 36 subjects accounting also for their demographic, cognitive and behavioral profiles. DMD is specifically associated with a reduced microstructural integrity of long fiber bundles and a reduced cortical thickness of the motor cortex, cingulate cortex, hippocampus and insula. |
| 1922 | Computer 105
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Altered brain structure in a mouse model of ALS with mutation in Tardbp is observed from early adulthood |
| Aurea Martins Bach1, Shoshana Spring2, Zeinab Ali3, Brian J. Nieman2, John Sled2, Remya R. Nair3,4, Elizabeth Fisher5, Silvia Corrochano6, Thomas Cunningham3,7, Jason Lerch1, and Karla Miller1 | ||
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Mouse Imaging Centre, The Hospital for Sick Children, Toronto, ON, Canada, 3Mammalian Genetics Unit, MRC Harwell Institute, Oxford, United Kingdom, 4Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom, 5Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 6Neurological Disorders Group, Hospital Clínico San Carlos, IdISSC, Madrid, Spain, 7MRC Prion Unit and Institute of Prion diseases, University College London, London, United Kingdom |
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Keywords: Neurodegeneration, Preclinical Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by aggregates of TDP-43 in the brain. The TDP-M323K mouse model of ALS has a mutation in Tardbp and presents progressive motor, neurological and behavioural phenotypes, in addition to widespread changes in brain volume at 12 months of age. Here, we assessed if these volumetric changes are progressive or if they are already present before other symptoms start to present. Post-mortem structural MRI in 3- and 12 months-old TDP-M323K mice revealed that brain volume is already altered in young adults despite the absence of major clinical and pathological phenotypes. |
| 1923 | Computer 106
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Investigation of the biophysical basis of relaxivity contrast imaging as a biomarker for myofiber microstructural changes in an ALS model |
| Natenael B Semmineh1, Ethan Mathew2, Bruce Damon3, and C Chad Quarles1 | ||
1Cancer Systems Imaging, The university of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, TX, United States, 3Carle Clinical Imaging Research Program Stephens Family Clinical Research Institute Carle Health, Urbana, IL, United States |
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Keywords: Neurodegeneration, Microstructure, amyotrophic lateral sclerosis - ALS Amyotrophic lateral sclerosis (ALS) is a fatal upper and lower motor neuron degradation disease that leads to progressive myofiber abnormalities (e.g., decreased size and distribution). The relaxivity contrast imaging (RCI) parameter, TRATE (tissue transverse relaxivity at tracer equilibrium), has been shown to decrease during ALS induced myofiber degradation. The goal of this study is to expand a validated computational method to investigate the biophysical basis of TRATE in muscles of ALS patients and to optimize RCI acquisition parameters. |
| 1924 | Computer 107
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Hippocampal subfields atrophy based on automated volumetry analysis in end-stage-renal disease patients |
| Yuhan Jiang1, Yuan Li1, Qingwei Song1, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Neurodegeneration, Neurodegeneration Cognitive impairment is very common in patients with end-stage renal disease (ESRD). Hippocampal atrophy has been proven to be an effective marker for distinguishing the normal population from the cognitively impaired patients. However, there are almost no studies on changes in hippocampal structure, especially the volume of hippocampal subfields, in ESRD patients. In this study, automated volumetry of hippocampal subfields in ESRD patients was performed and compared with healthy controls, and found that ESRD patients have hippocampal subfield atrophy, especially in bilateral fimbria and right hippocampal tail. |
| 1925 | Computer 108
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3 T MR Neuroimagingand CT Guided Injection for Atypical Facial Pain: A multimodality analysis of Pain Response |
| YANG MaoJiang1, Liu JianHao2, ANUP Bhetuwal1, QIONG Xian3, ZHANG HanWen1, YANG HanFeng1, Chen Meining4, and XU XiaoXue1 | ||
1Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Nanchong, China, 2The Fifth People's Hospital of Chengdu, Chengdu, China, 3Second Affiliated Hospital of North Sichuan Medical College,Nanchong 637100, Nanchong, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China, Shanghai, China |
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Keywords: Neurodegeneration, Neurodegeneration At present, the pathogenesis of atypical facial pain is unknown. We conducted pain related analysis on the included patients through magnetic resonance imaging and trigeminal neurolysis, and the results suggest that trigeminal neuropathy may be a pathogenesis of atypical facial pain. |
| 1926 | Computer 109
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Olfactory Oddball Detection Task Activates the Left Temporoparietal Junction |
| Prasanna Karunanayaka1, Biyar Ahmed1, Rommy Elyan1, and Qing Yang1 | ||
1Pennsylvania State University College of Medicine, Hershey, PA, United States |
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Keywords: Neurodegeneration, Neuro, Olfactory fMRI Both the medial and inferior temporal lobes have been previously implicated in odor-identification. However, the precise neural substrate remains unclear. We used a novel oddball detection olfactory fMRI task to probe the neural basis of odor identification. fMRI activation was detected in the left temporoparietal junction along with known olfactory brain structures. Given the presence of odor identification deficits in early Alzheimer’s disease (AD), our paradigm has the potential to establish relationships between olfactory deficits, neurodegeneration, and memory impairment. |
| 1927 | Computer 110
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Connectomics Biomarkers of Gulf War Illness |
| Guangming Yang1, Bruce Crosson1, Robert Haley2, Kaundinya Gopinath1, and Ying Guo1 | ||
1Emory University, Atlanta, GA, United States, 2UT Southwestern Medical Center, Dallas, TX, United States |
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Keywords: Neurodegeneration, fMRI (resting state) Around 200,000 veterans of the 1991 Gulf War (GW) suffer from GW illness (GWI). GWI is a poorly understood chronic medical condition, characterized by multiple symptoms. One factor that hampers mechanistic investigations into GWI is that there is considerable heterogeneity in symptoms across the GW veteran population. Only one case definitions of GWI addresses this heterogeneity. The Haley GWI case definition addresses this by further breaking down GWI into three main syndrome variants (Syn1, Syn2, and Syn3) based on factor analysis of symptoms presented by GWI veterans. In this study, we extracted rsfMRI connectomics biomarkers for different syndromes of GWI. |
| 1928 | Computer 111
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Multiparametric MRI assessment of botulinum-toxin treatment for a patient with cervical dystonia |
| Xubin Chai1,2, Le He1, Changhao Zhu3, Wanting Hu3, Rong Xue2, Xiaolei Song1, and Li Wang4 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, Beijing, China, 2State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3China School of Information Sciences and Technology, Northwest University, Xi'an, China, 4Department of Neurology, The First Hospital of Tsinghua University, Beijing, China |
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Keywords: Neurodegeneration, Molecular Imaging Cervical dystonia (CD) has been regarded as the most common form of focal dystonia, the affected neck muscles always in sustained situation lead to an abnormal rotation of the head[1]. The mechanisms of CD have not yet been thoroughly illustrated. Botulinum toxin (BT)is considered as the recommended first-line therapeutic method for the focal dystonia[2].Traditional MRI Scan has been used to evaluate any pathophysiological changes of brain anatomy or the affected neck muscles[3].However, seldom MRI have provided the cervical muscles metabolic messages[4].The CEST MRI could provide the metabolic aspects of the cervical muscles before and after the treatment of the BT |
| 1929 | Computer 112
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Glutathione+γ-Aminobutyric Acid Detection Improves Inter-Subject Concentration Variability at 3T |
| Jack Knight-Scott1, Marie Caillaud2, Isabelle Gallagher2, Yanrong Li2, and Andreana P. Haley2 | ||
1Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States, 2Psychology, The University of Texas at Austin, Austin, TX, United States |
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Keywords: Neurodegeneration, Spectroscopy Quantification of the combination glutathione (GSH) + γ-aminobutyric acid (GABA) at 3T in medium TE but high signal-noise brain spectra yields a stable concentration with a low coefficient of variation (CV) of only 6%, smaller than individual CV values for GSH or GABA. While an indication of the interdependency of GSH and GABA quantification, [GSH+GABA] also suggests a pathway for the study of perturbations in GABA and GSH at 3T while maintaining the high information content typical of un-edited spectra. |
| 1930 | Computer 113
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Comparing brain amyloid load using PET to grey matter perfusion using ASL on the OASIS-3 dataset |
| Sierra Sparks1, Daniel P. Bulte1, and Joana Pinto1 | ||
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom |
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Keywords: Neurodegeneration, Alzheimer's Disease, Tracers Alzheimer’s disease (AD) is the leading cause of dementia, and it is associated with cerebral amyloid beta accumulation and changes in cerebral perfusion. Amyloid PET imaging can be used to measure the amyloid beta load, while ASL-MRI is preferred for cerebral perfusion measurements, which may occur before amyloid beta accumulation. This study compares the amyloid beta load with the CBF in grey matter, in both cognitively healthy and cognitively impaired subjects from the OASIS-3 dataset. A logistic regression model using this data was able to classify the cognitive status of subjects with a 78.48% test accuracy. |
| 1931 | Computer 114
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Age-related cell size and cellularity variation in deep gray matter in vivo |
| Yufan Chen1, Yishi Wang2, Changyuan Xu3, Diwei Shi4, and Guangbin Wang1 | ||
1Shandong Provincial Hospital, Shandong University, Jinan, China, 2Philips Healthcare, Beijing, China, 3Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 4Center for Nano & Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China |
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Keywords: Neurodegeneration, Degenerative, aging The aging progress of neuron is characterized by degenerative changes of structure and function. Few studies have focus on the structure in cellular level. In this study, we quantified cell size and cellularity in globus pallidus, putamen and substantia nigra pars compacta using time dependent diffusion imaging. Subgroup analysis by age showed the increased intracellular volume fraction of putamen in older people while diameter does not change over age. These findings might demonstrate the potential of MRI cell size imaging to assess the degeneration of neuron on cellular level. |
| 1932 | Computer 115
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3D MRI Texture Analysis of the Brain in Obese Subjects with OSA: Analysis of Brain Injury and Relationship to Cognitive Impairments |
| Daniel Sare1, Amartei Brocke1, and Andrea Kassner1,2 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Department of Medical Imaging, The University of Toronto, Toronto, ON, Canada |
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Keywords: Neurodegeneration, Brain Up to 60% of obese youths with obstructive sleep apnea (OSA) are afflicted with episodes of nocturnal hypoxia, a known risk factor for structural cerebral alterations and neurocognitive problems leading to cognitive impairment. By applying grey-level co-occurrence-based texture analysis in children with and without OSA, we were able to show that the presence of OSA is associated with microscopic changes in normal appearing white matter in regions impacted by cognitive impairment. The findings support the lower tissue homogeneity, and decrease in cortical density and thickness seen in moderate-severe OSA groups. |
| 1933 | Computer 116
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Alterations of cortical and subcortical structures in mild cognitive impairment |
| Junxia Wang1 and Bing Zhang1 | ||
1Nanjing Drum Tower Hospital, Nanjing, China |
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Keywords: Neurodegeneration, Alzheimer's Disease In this study, we investigated alterations of cortical morphology, subcortical nuclei volume and morphology in MCI using multiple morphological analysis methods. Moreover, we explored these imaging features relationship with cognitive performances and their efficiency in classification of MCI using support vector machine (SVM). We speculate that combining volumetric and morphological analysis methods will outperform than single analysis method in MCI identification. |
| 1934 | Computer 117
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Combined Microstructural Assessment of Progressive Apraxia of Speech by Diffusion Tensor Imaging-Based Tractography and Multi-Shell NODDI |
| Rodolfo G. Gatto1, Joseph R. Duffy1, Rene L. Utianski1, Heather M. Clark1, Hugo Botha1, Mary M. Machulda2, Val J. Lowe3, Keith A. Josephs1, and Jennifer L. Whitwell3 | ||
1Division of Neurology, Mayo Clinic at Rochester, Rochester, MN, United States, 2Division of Psychiatry and Psychology, Mayo Clinic at Rochester, Rochester, MN, United States, 3Division of Radiology, Mayo Clinic at Rochester, Rochester, MN, United States |
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Keywords: Neurodegeneration, Rare disease, Progressive Apraxia of Speech Progressive apraxia of speech (PAOS) is a tauopathy characterized by difficulties with motor speech programming and planning. Grey and white matter (GM & WM) brain regions were interrogated by diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Twenty-three patients with PAOS and 22 matched controls underwent diffusion MRI. Global WM differences in PAOS were better attained by intracellular volume fraction (ICVF), whereas GM global differences were better attained by mean diffusivity (MD) and isotropic volume fraction (isoVF). DTI and NODDI represent unique aspects of brain tissue microstructure and can be used as PAOS biomarkers. |
| 1935 | Computer 118
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Cerebrovascular reactivity is associated with longitudinal white matter hyperintensity progression in small vessel disease on 7T MRI |
| Stanley D.T. Pham1, Danique E. Versluis1, Hilde van den Brink2, Nikki Dieleman2, Jaco J.M. Zwanenburg1, Geert Jan Biessels2, and Jeroen C.W. Siero1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Neurodegeneration, White Matter, small vessel disease, white matter hyperintensities We studied the association between cerebrovascular reactivity measured with blood oxygenation level-dependent (BOLD-CVR) to hypercapnia and progression of white matter hyperintensities (WMH) on 7T MRI in cerebral small vessel disease (SVD). BOLD-CVR was assessed in voxels of four different categories which represent the fate of a voxel after two-year follow-up. The BOLD-CVR in normal appearing white matter (NAWM) that converted into WMH was significantly lower than the BOLD-CVR of voxels that remained WMH (0.39 [0.16-0.63] vs 0.98 [0.75-1.21]) (p<0.0001). The association between BOLD-CVR and WMH progression signifies the potential of BOLD-CVR to be a predictor of disease progression in SVD. |
| 1936 | Computer 119
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Regional age-related changes of neuromelanin and iron in the substantia nigra based on neuromelanin accumulation and iron deposition |
| Yufan Chen1, Tao Gong2, Cong Sun3, Fei Gao2, Tong Chen1, Weibo Chen4, and Guangbin Wang2 | ||
1Shandong Provincial Hospital, Shandong University, Jinan, China, 2Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 3Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China, 4Philips Healthcare, Shanghai, China |
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Keywords: Neurodegeneration, Aging The study investigated age-related neuromelanin signal variation and iron content changes in the subregions of substantia nigra simultaneously by magnetization transfer contrast neuromelanin-sensitive multi-echo fast field echo sequence in a normal population. We manually delineated neuromelanin, iron deposition regions and the overlap regions. The correlation analysis revealed contrast ratio increased over age, while volume showed an age-related decline in the overlap region which were similar to those in the neuromelanin region. No significant correlations were found between susceptibility and age in any subregion. This study may provide more insight for the future degenerative elucidations of substantia nigra. |
| 1937 | Computer 120
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Intravoxel incoherent motion diffusion weighted imaging to assess brain microstructure and perfusion in patients with end-stage renal disease |
| Xiangxiang Wu1, Zijian Jiang1, Jiahui Zheng1, Zhuqing Jiao2, Tongqiang Liu1, Weiqiang Dou3, and Haifeng Shi1 | ||
1Changzhou Second People’s Hospital, Changzhou, China, 2Changzhou University, Changzhou, China, 3GE Healthcare, MR Research China, Beijing, China |
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Keywords: Neurodegeneration, Diffusion/other diffusion imaging techniques This study aimed to investigate the clinical value of intravoxel incoherent motion (IVIM) diffusion-weighted imaging in evaluating the brain microstructural and perfusion changes in end-stage renal disease (ESRD) patients. 40 ESRD patients and 30 healthy subjects were recruited in this study and underwent IVIM MRI. The microstructure and perfusion of the brain showed significantly differences in the left frontal lobe, bilateral temporal lobe, left hippocampus, right occipital lobe, represented by IVIM derived parameters of slow apparent diffusion coefficient (ADCslow) and fast apparent diffusion coefficient (ADCfast). Therefore, we concluded that the brain microstructure and perfusion were impaired in ESRD patients. |
| 1938 | Computer 121
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Varied hemodynamic and metabolic responses of disease modifying and curative therapies in adults with sickle cell disease |
| Megan Aumann1, Jarrod J Eisma1, Alexander K Song1, Spencer L Waddle1, Sky Jones1, Meher R Juttukonda2, Niral J Patel3, Samantha Davis1, Taylor Davis1,2, Lori Jordan1,4, and Manus J Donahue1 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Pediatric Endocrinology and Diabetes, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Stroke, Stroke, metabolism Two common treatment paradigms for sickle cell disease (SCD) include oral medication hydroxyurea and blood transfusions. Rarely, a curative hematopoietic stem cell transplant (HSCT) is performed. We utilized non-invasive MRI to evaluate how potential biomarkers of infarct risk, cerebral blood flow (CBF) and oxygen extraction fraction (OEF), change in these treatment paradigms (cumulative n=39). Hydroxyurea treatment did not have significant changes to hemoglobin, CBF, or OEF between two scans. Hemoglobin increases by approximately 8.73 and 64.11% for adults with SCD on transfusion and transplant treatments, respectively. These changes most prominently parallel a reduction in CBF of 20.46 and 31.67%, respectively. |
| 1939 | Computer 122
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Can combined High-resolution and 3D-Arterial spin labeling MR differentiate moyamoya disease from arteriosclerotic moyamoya syndrome? |
| Yu Guo1, Weiqiang Dou2, Xinyu Wang3, Xinyi Wang1, Huimin Mao1, and Kunjian Chen1 | ||
1The First Affiliated Hospital of Shandong First Medical University＆Shandong Provincial Qianfoshan Hospital, Jinan, China, 2MR Research, GE Healthcare, Beijing , China., Beijing, China, 3Beijing Chaoyang Hospital, Capital Medical University, Beijing , China., Beijing, China |
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Keywords: Stroke, Multimodal This study aimed to investigate whether the combined T1w-CUBE imaging and multiple post-labeling delay 3D pseudo-continuous arterial spin labeling imaging（MP 3D-PcASL）can distinguish moyamoya disease（MMD）from arteriosclerotic moyamoya syndrome（AS-MMS）. 26 MMD patients and 25 AS-MMS patients were measured with T1w-CUBE imaging and MP 3D-PcASL. Significantly altered vessel wall in morphology and cerebral perfusion patterns were found on the lesions between AS-MMS and MMD. We thus concluded that the combined T1w-CUBE imaging and MP 3D-PcASL might help distinguish MMD from AS-MMS in clinic. |
| 1940 | Computer 123
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Evaluation of Brain Iron Deposition in Different Cerebral Artery of Acute Ischemic Stroke by using Quantitative Susceptibility Mapping |
| Jie Yang1, Jianquan Zhong1, Minli Lv1, Yan Li 1, Limei Han1,2, Hao Feng1, Chaoliang He1,3, Chunyan Zheng1, Zhejun Wang1, and Yunzhu Wu4 | ||
1Department of Radiology, Zigong First People's Hospital, Zigong, China, 2North Sichuan Medical College, Nanchong, China, 3Sichuan Vocational College of Health and Rehabilitation, Zigong, China, 4MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, China |
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Keywords: Stroke, Blood vessels, Iron Deposition In this study, QSM was used to investigate susceptibility differences among infarct region, non- infarct regions of responsible artery and non-responsible artery in acute ischemic stroke (AIS) patients. The results showed that only susceptibility of the infarct region was significantly higher than that of healthy controls. In AIS patients, the susceptibility of infarct region were significantly higher than those of normal cerebral artery regions and non-infarction regions of responsible artery. These results suggest that abnormal iron deposition exists in the infarct region and may not affect other non-infarct regions. |
| 1941 | Computer 124
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Demonstration of brain temperature as a parameter for treatment stratification after acute ischemic stroke |
| Dongsuk Sung1, Peter A Kottke2, Jason W Allen1,3,4, Fadi Nahab4, Andrei G Fedorov2,5, and Candace C. Fleischer1,3,5 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, GA, United States, 2Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 3Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 4Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 5Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States |
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Keywords: Stroke, Thermometry Prior research has demonstrated the benefits of endovascular thrombectomy after acute ischemic stroke. Despite improvements in surgical techniques, patient selection for thrombectomy remains challenging. In this case study, we explored the utility of brain temperature to accurately predict infarct core and salvageable tissue to stratify patients for thrombectomy. We observed infarct volume estimated from temperature maps was more similar than CT perfusion to the true infarct volume identified using apparent diffusion coefficient images from diffusion weighted imaging. Temperature-based ischemia-to-infarct ratio showed better patient stratification than conventional methods, suggesting the complementary use of brain temperature in patient selection after ischemic stroke. |
| 1942 | Computer 125
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Brain glymphatic impairment correlates with motor dysfunction after ischemic stroke |
| Yue Qin1, Xin Li1, Yifan Qian1, Xiaoshi Li1, and Lei Wang1 | ||
1Xi'an Daxing Hospital, Xi'an, China |
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Keywords: Stroke, Diffusion/other diffusion imaging techniques This present study used diffusion tensor image analysis along the perivascular space (DTI-ALPS) method to investigate the glymphatic activity of the corticospinal tract in subacute ischemic stroke patients with impaired motor function. We found that the subacute ischemic stroke group had a lower DTI-ALPS value on the affected side of corticospinal tract, suggesting impairment of the glymphatic system in patients with subacute ischemic stroke, which may be related to motor dysfunction. |
| 1943 | Computer 126
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Quantitative Assessment of Hyperperfusion using ASL to Predict Hemorrhagic Transformation in Acute Ischemic Stroke Patients |
| jianbin huang1, peng hao1, zelong chen1, kan deng2, baoer liu1, and yikai xu1 | ||
1nanfang hospital, guangzhou, China, 2Philips Healthcare, guangzhou, China |
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Keywords: Stroke, Brain Hemorrhagic transformation (HT) is a potentially life-threatening complication in acute ischemic stroke (AIS) patients. We developed a quantitative of hyperperfusion on ASL and to evaluate its value in the prediction of HT in AIS patients. Our results indicated that CBFmax in hyperperfusion detected on pretreatment ASL was associated with subsequent HT and higher CBFmax was more likely to experience parenchymal hematoma (PH) in AIS patients. The assessment of CBFmax in hyperperfusion on pretreatment ASL may be available in routine clinical practice to further predict subsequent HT and enable timely intervention to prevent PH. |
| 1944 | Computer 127
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High-resolution MRI combined arterial spin labeling may distinguish between transient ischemic attack and stroke in intracranial stenosis |
| Ling Li1, Xiaoling Zhang1, Xiaoyan Lei1, Min Tang1, Xuejiao Yan1, Yu Wen1, Jing Zhang1, and Kai Ai2 | ||
1Department of MRI, Shaanxi Provincial People's Hospital, Xi’an, China, 2Philips Healthcare, Xi’an, China |
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Keywords: Vessel Wall, Atherosclerosis, ASL, transient ischemic attack In order to prevent TIA patients from further developing into irreversible stroke, it is important to predict the occurrence of stroke in TIA patients. In this study, high-resolution magnetic resonance imaging (HRMRI) and arterial spin labeling (ASL) were used to investigate the differences of middle cerebral artery (MCA) plaque and hemodynamics in patients with ischemic stroke and TIA, and to establish a predictive model for ischemic stroke. The results showed that positive remodeling, enhancement ratio and 2.5s ATA present could be used to predict the occurrence of stroke in patients with TIA, and the prediction model had excellent diagnostic performance. |
| 1945 | Computer 128
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GluCEST MRI at 3.0 T Identifies Glutaminase Alteration in Patients with Stroke |
| Qin Wen1, Xingke Huang1, Yun Su1, Zhuoheng Yan1, Chen Zhao2, Zhiwei Shen3, Jiaji Mao1, and Jun Shen1 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital，Sun Yat-Sen University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Beijing, China |
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Keywords: Stroke, CEST & MT, Glutamate This study investigated the feasibility of GluCEST at 3.0 T for detecting the change of glutamate in the human brain after stroke. The imaging capability of glutamate is validated on the phantom and human brain, respectively. Glutamate at physiological concentrations could be detected by in vitro MRI. The findings of an in vivo investigation revealed that the GluCEST signal of stroke patients differs from that of healthy individuals and that this difference may be detected by 3.0 T MRI. This work provides fresh insights into the use of endogenous glutamate MRI imaging. |
| 1946 | Computer 129
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Comparison of DWI-ASL Mismatch and Collaterals for Predicting Clinical Outcome in Patients with Subacute Ischemic Stroke |
| Yi Li1, Di Wu2, Xiaoyun Liang1, Zihan Li3, Pinjia Cai3, Feng Huang1, and Wenzhen Zhu2 | ||
1Neusoft Medical Systems Co., Ltd, Shanghai, China, 2Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 3Neusoft Medical Systems Co., Ltd, Shenyang, China |
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Keywords: Stroke, Stroke, DWI-ASL Mismatch, Collaterals, Subacute troke, Prognosis As a contrast agent-free MR imaging, ASL will not cause contrast agent-associated nephrotoxicity and allergic reaction. However, low image resolution makes it time-consuming and difficult for clinicians to quantify hypoperfusion volumes using ASL. We developed an automatic and robust algorithm to quantify core-penumbra mismatch based on DWI-ASL. Furthermore, models were built with clinical and/or imaging features and their performances in predicting prognosis of subacute stroke patients were evaluated. When combining infarct location and collaterals with NIHSS, but not mismatch ratio, the model can predict prognosis of subacute stroke patients the best. Therefore, this may add benefits to delayed intervention. |
| 1947 | Computer 130
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Prognostic value of the baseline magnetic resonance score with acute posterior circulation ischemic stroke after mechanical thrombectomy |
| huang shan shan1 | ||
1Xi’an No.1 Hospital, Xi'an, China |
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Keywords: Stroke, Thrombo-Embolic To investigate the predictive value of baseline DWI-pcASPECTS combined with MRA-collateral circulation score in patients with acute posterior circulation ischemic stroke after mechanical thrombectomy. DWI-pcASPECTS score and MRA-collateral circulation score before treatment were retrospectively analyzed in patients with acute posterior circulation ischemic stroke after mechanical thrombolectomy. Multivariate Logistic regression was used to analyze the independent predictors of functional outcomes 90 days after mechanical thrombectomy. MR-pcASCO score can be used as an important means to predict the prognostic function of patients with acute posterior circulation ischemic stroke after mechanical thrombectomy. |
| 1948 | Computer 131
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Altered static and dynamic spontaneous neural activity in patients with ischemic pontine stroke |
| Xin Wang1, Caihong Wang1, Jingchun Liu2, Jun Guo3, Peifang Miao1, Ying Wei1, Kaiyu Wang4, Jingliang Cheng1, and Cuiping Ren1 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China, 3Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China, 4MR Research China, GE Healthcare, Beijing, China |
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Keywords: Stroke, Brain We aimed to investigate the static and dynamic characteristics of brain activity after stroke by using functional magnetic resonance imaging (fMRI). Seventy-three patients with pontine ischemic stroke and 50 healthy controls (HCs) were recruited and received a resting-state fMRI scanning. Our result shows that there are significantly altered sALFF/dALFF and sReHo/dReHo values in the brain regions of patients. And the alterations of dynamic brain activity in the basal ganglia and cerebellum were correlated with the degree of cognitive impairment. Static and dynamic biomarkers can be combined together to provide more comprehensive information on potential therapeutic targets. |
| 1949 | Computer 132
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The value of multimodal MR imaging in patients with acute cerebral infarction |
| Haiyan Gui1, Ningdi Yang1, Jianxiu Lian2, Qingyan Xia1, and Jiaxiu Du1 | ||
1The fourth hospital of Harbin, Harbin, China, 2Philips Healthcare, Beijing, China |
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Keywords: Blood vessels, Brain Cerebrovascular diseases are one of the main causes of death and disability in the adult population. Functional magnetic resonance imaging (fMRI) could provide quantitative parameters to evaluate the process of diseases, including Diffusion-weighted imaging（DWI）, three-dimensional arterial spin labeling (3D ASL), and 4D-TRANCE. Results showed the maximum area size of 3D-ASL and 4D-TRANCE had predictive significance when evaluating patients with acute ischemic cerebral infarction by National Institutes of Health Stroke Scale (NIHSS) score, which could provide objective and useful parameters in further diagnosis. |
| 1950 | Computer 133
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Therapeutic Efficacy of Extracellular Vesicles from 3D Aggregated Adult Human Mesenchymal Stem Cells for Ischemic Stroke Assessed by MRI at 21.1 T |
| Jamini Bhagu1,2 and Samuel Colles Grant1,2 | ||
1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States |
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Keywords: Stroke, Non-Proton, sodium, MCAO This study evaluates the therapeutic efficacy of transplanted extracellular vesicles (EV) secreted from 3D aggregated human mesenchymal stem cells to treat transient ischemic stroke in a female rat model. The objective is to verify the presence of EV at the lesion and monitor tissue recovery using T2- and diffusion-weighted MRI at 21.1 T. |
| 1951 | Computer 134
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Does sex matter? A 1H MRS metabolic study in a mouse model of transient ischemic stroke |
| Lara Buscemi 1, Mario Lepore2, Thanh Phong Lê3, Lorenz Hirt1, and Mor Mishkovsky3 | ||
1Department of Clinical Neurosciences, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2Center for Biomedical Imaging, EPFL, Lausanne, Switzerland, 3Laboratory of Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland |
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Keywords: Stroke, Preclinical A considerable sex bias exists in preclinical research, with studies on male animals outnumbering those in females, yet several preclinical rodent studies of transient middle cerebral artery occlusion (tMCAO) reported that infarct volume is smaller in females than in males. As the neurochemical profile greatly evolves after stroke, the present study aimed to evaluate whether the neurochemical profile is modified differently between male and female mice post tMCAO. We found that baseline values apart from taurine show no differences as previously reported. However, a difference in the metabolic profile between male and female mice becomes visible after tMCAO. |
| 1952 | Computer 135
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Multi-parametric Z-spectral MRI of stroke patients |
| Zhengxiong Wang1, Yongzhou Xu2, Peng Wu3, Lu Han3, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Stroke, Ischemia, ischemic stroke, Multi-parametric Z-spectral MRI, lesions Multi-parametric Z-spectral MRI has been successfully implemented in vivo. In this study, multi-contrast Z-spectra fitted with four Lorentzian functions were acquired from eighteen ischemic stroke patients. We found that this novel method could differentiate lesions from normal brain tissues, and multiple Z-spectral contrasts showed a satisfying correlation with the apparent diffusion coefficient (ADC). Multi-parametric Z-spectral MRI could specifically characterize the metabolic alterations of ischemic brain tissues in stroke patients. |
| 1953 | Computer 136
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Framework for Categorizing Intracerebral Hemorrhage Age: A Step Towards Fully-Automated Characterization and Visualization |
| Thomas Lilieholm1, Matthew Larson2, Azam Ahmed3, and Walter F Block1,2,4 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States, 3Neurosurgery, University of Wisconsin - Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: Stroke, Blood Previous deep learning networks have autonomously identified, segmented, and quantified hematoma volumes in MR images of intracerebral hemorrhages (ICH). This information derived from this analysis would periodically augment surgical decisions during minimally invasive ICH evacuations. A limitation of these autonomous processes is the MRI contrast variations with varying clot ages precludes a generalizable CNN for ICH. We propose a multiparametric image processing pipeline for categorizing clots on the basis of their age, as determined by presented image contrast relative to local white matter. This determination can be used to select a properly trained CNN model based on age classification. |
| 1954 | Computer 137
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Investigating the Use of Statins in a Juvenile Photothrombotic Rat Stroke Model |
| Daniel Sare1, Daniel Li1, Bryan Kartono1, Adam Waspe2,3, and Andrea Kassner1,3 | ||
1Translational Medicine, The Hospital for Sick Children, Toronto, ON, Canada, 2Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada, 3Department of Medical Imaging, The University of Toronto, Toronto, ON, Canada |
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Keywords: Stroke, Brain Pediatric stroke remains a significant cause of lifelong neurological impairment and morbity. Treatment options and our understanding of stroke evolution in the developing brain, especially beyond the peri- and neonatal period, is still limited. By using a photothrombotic juvenile rat stroke model and quantitative MRI, we were able to assess stroke and blood-brain barrier damage following the use of atorvastatin from the hyper acute to chronic stages following acute ischemic stroke. Findings support a reduction in lesion volume within the statin group with no significant changes to BBB damage. |
| 1955 | Computer 138
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Prediction for clinical outcome using prominent vessel sign in patients with subacute cerebral infarction |
| Peipei Chang1, Lizhi Xie2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Beijing, China |
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Keywords: Stroke, Susceptibility, Hemorrhagic transformation This study was to investigate the effect of prominent vessel sign (PVS) in patients with unilateral subacute infarction on hemorrhagic transformation (HT) and short-term prognosis by using susceptibility-weighted imaging (SWI). It was found that there were no significant differences in the incidence of prominent cortical veins (PCV), prominent medullary veins (PMV), PCV+PMV, SWI-ASPECT score and SWI-DWI mismatch score between two groups. Although higher than the HC group, there was no difference in venous MSV between HT and NHT groups. NIHSS score was negatively correlated with SWI-ASPECT score and DWI-ASPECT score and NIHSS score at discharge was negatively correlated with the proportion of PCV, PCV + PMV and MSV of CV. This study suggesting that PVS had little effect on HT in patients with unilateral subacute infarction, but related to worse short-term clinical status. |
| 1956 | Computer 139
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The Feasibility of a Rapid Stroke Protocol of Acute Ischemic Stroke at 3T MRI |
| Hang Yin1, junbang feng2, fei yu2, Meining chen3, lei xue3, wei yu3, and chuanming li2 | ||
1Department of Radiology, Chongqing Emergency Medical Cente, Chongqing, China, 2Chongqing Emergency Medical Center, chongqing, China, 3MR Scientific Marketing, SIEMENS Healthcare, shanghai, China |
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Keywords: Stroke, Stroke Shortening MR scan time to diagnosis of acute ischemic stroke helps to perform intravenous thrombolysis more quickly and accurately for patients, thus improving the patients’ prognosis. A rapid stroke protocol was evaluated. With about 10 minutes of scanning, we achieved T1 flash, T2 TSE, T2 flair, high-resolution isotropic DWI, TOF and ASL. This protocol improved the detection rate of cerebral infarct lesions without compromising image quality, which help to make thrombolysis of patients with acute ischemic stroke earlier and more accurate. |
| 1957 | Computer 140
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Association between diffusion-weighted image analysis along the perivascular space index and early-onset post‑stroke cognitive impairment |
| Hongwei Li1, Min Chu2, Lianlian Liu3, He Wang1,4,5, and Jing Zhao2 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China, 5Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China |
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Keywords: Stroke, Neuroscience The mechanism of cognitive impairment following stroke is uncertain. It has been demonstrated that the glymphatic system has an impact on cognitive function, which can be measured by the diffusion weighted image analysis along the perivascular space (DWI-ALPS) index. The purpose of this study was to see whether the DWI-ALPS index was associated with early-onset post-stroke cognitive impairment. Our data revealed that DWI-ALPS index in PSCI group was significantly lower than in non-PSCI group, and it had a good predictive value for PSCI. |
| 1958 | Computer 141
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Predicting Adult-type Diffuse Gliomas Grade: A Comparison of Four Radiomics-based Diffusion Prediction Models |
| Peng Wang1,2, Jinlong He1, Qiong Wu1, Shenghui Xie1, Lixin Weng2, Shaoyu Wang3, Huapeng Zhang3, Yang Song3, and Yang Gao1 | ||
1Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2Inner Mongolia Medical University, Hohhot, China, 3Siemens Healthineers, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Application of MRI diffusion models can aid in the formulation of logical treatment strategies by non-invasively predicting gliomas pathogenic grade. However, it appears that the thorough comparison of diffusion models has not been addressed or has only been partially addressed. The objective of this study was to compare the potential clinical uses of four radiomics-based diffusion prediction models for predicting adult-type diffuse gliomas grade. According to the findings, the relatively simple model (i.e. diffusion tensor imaging) had the same potential for clinical use than the more sophisticated diffusion models. This suggests that additional point-to-point research is required. |
| 1959 | Computer 142
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A Subregion-based RadioFusionOmics Model Discriminates between Grade 4 Astrocytoma and Glioblastoma on Multisequence MRI |
| Ruili Wei1, Xinrui Pang1, Ye Wang1, Fangrong Liang1, Yongzhou Xu2, and Ruimeng Yang1 | ||
1Department of Radiology, Guangzhou First People's Hospital, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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Keywords: Tumors, Radiomics The 2021 update of WHO CNS5 underlines the importance of IDH genotype prediction in the setting of adult-type grade 4 glioma. We developed a RFO model to discriminate between grade 4 astrocytoma and glioblastoma using subregional radiomics signatures from conventional MRI sequences. The fusion models from multiparametric MR images outperformed that from single sequence. The comparison between two different subregion manners revealed that voxel-wise habitats defined by clustering procedure yielded a higher discriminative capability. Our results also implied that tumor edema may contain underlying heterogeneous metrics between grade 4 astrocytoma and GBM.
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| 1960 | Computer 143
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Prediction of brain invasion in meningioma by preoperative MRI based on U-NET and DenseNet convolutional neural network |
| Juan Yu1, Yujian Liu2, kan Deng3, Fan Lin4, Guanghui Yue2, Jie Du2, and Liangping Luo5 | ||
1Radiology Department, Shenzhen Second People's Hospital, Shenzhen, China, 2Shenzhen University, Shenzhen, China, 3Philips Healthcare, Guangzhou, China, 4Shenzhen Second People's Hospital, Shenzhen, China, 5The First Affiliated Hospital of Jinan University, Guangzhou, China |
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Keywords: Tumors, Tumor, meningioma The new guidelines suggest that brain invasion is not a unique feature of malignant meningiomas, but may be a pathologic condition of benign meningiomas with a potential risk of recurrence. However, maximum preservation of normal brain tissue is essential for surgery. Accurate preoperative MRI evaluation of meningioma brain invasion is expected to solve the dilemma faced by neurosurgeons. |
| 1961 | Computer 144
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MRI histogram analysis of tumor-infiltrating CD8+ T cell levels in patients with glioblastoma |
| Caiqiang Xue1, Qing Zhou1, and Junlin Zhou1 | ||
1Lanzhou University Second Hospital, Lanzhou, China |
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Keywords: Tumors, Tumor CD8+ T cell infiltration in tumors is a powerful predictor of the clinical and postoperative prognosis of GBM patients. Immunohistochemical staining was used to assess tumor-infiltrating CD8+ T cell expression in patient-derived tumor tissue samples. Histogram analysis of GBM was performed using Firevoxel software. Among the T1C histogram features, the CV, mean, 5th, 10th, 25th, and 50th percentiles were correlated with the levels of CD8+ T cells. The ROC curve analysis revealed that the CV had the highest AUC value (0.783). Histogram analysis is an efficient non-invasive imaging modality for the prediction of tumor-infiltrating CD8+ T cells in glioblastoma. |
| 1962 | Computer 145
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Radiomics Based on Diffusion and Perfusion MRI Image: New Prognostic Biomarkers in PCNSL patients |
| Liu Guo LI1, Jun Zhang1, and Lin Ma1 | ||
1Department of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China |
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Keywords: Tumors, Nervous system, Lymphoma Prognostic prediction based on clinical data and laboratory tests are facing reliability challenges for immunocompetent primary central nervous system lymphoma (PCNSL) . In this study, we attempted to explore new prognostic biomarkers based on MRI-radiomics features to predict the outcomes in PCNSL. Our results showed that radio-score based on the ADC map and ASL was independent risk factors in OS and PFS predictions. Meanwhile adding radiomics features improved the model performance compared with traditional ones among which model based on ASL had better performance than ADC. So radiomics features can effectively classify different prognosis and improve the model performance in PCNSL. |
| 1963 | Computer 146
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Histogram model of DCE-MRI in predicting progression of enhancing non-measurable disease after chemoradiotherapy in high-grade glioma |
| Haimei Cao1, Zhousan Huang1, Ruowei Qiu1, Zhiyong Li2, Kan Deng3, Jay J Pillai4, Guanglong Huang2, Yikai Xu1, Jun Hua5,6, and Yuankui Wu1 | ||
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Keywords: Tumors, Perfusion, enhancing non-measurable disease (NMD) Early prediction of disease progression is of potential clinical significance for the management of high-grade glioma (HGG) patients. We investigated the value of histogram models based on volume transfer constant (Ktrans) between the plasma and extravascular extracellular space and extravascular volume (Ve) in predicting the progression of enhancing non-measurable diseases (NMD) of HGG after chemoradiotherapy. Our results showed that histogram models based on Ktrans and Ve can accurately predict the progression of enhancing NMD of HGG following chemoradiotherapy, and combining Ktrans and Ve helps improve the prediction performance. |
| 1964 | Computer 147
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Deep Learning-based noise reduction for advanced brain MR imaging: Application to quantitative biomarkers in brain tumors |
| Clement Debacker1,2, Geoffroy Pouliquen1,2, Sylvain Charron2, Anna Fayolle1,2, Valentin H. Prevost3, Wolter de Graaf4, Alexandre Roux2,5, Johan Pallud2,5, and Catherine Oppenheim1,2 | ||
1Radiology department, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne, Paris, France, 2IMA-BRAIN, Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Paris, France, 3Canon Medical Systems Corporation, Tochigi, Japan, 4Canon Medical Systems Europe, Zoetermeer, Netherlands, 5Neuro-surgery department, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne, Paris, France |
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Keywords: Tumors, Tumor Our work is the clinical validation of a deep-learning algorithm (DLR) used to denoise MR images on quantitative MR biomarkers. Since it has been trained on including T1- and T2-weighted conventional images, in healthy volunteers, its effects on multiparametric quantitative MRI in patients, are uncertain. It could potentially improve brain tumors characterization by providing quantitative biomarkers under clinical time-constraints. |
| 1965 | Computer 148
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Histogram analysis based on T2 mapping can predict the molecular markers in meningiomas |
| Zongye Li1, Yijie Yang2, Yue Zhang1, Yanhong Lin2, Xiao Wang1, Yuchuan Zhuang3, Qinqin Yang2, Eryuan Gao1, Yanan Ren1, Yong Zhang1, Shuhui Cai2, Zhong Chen2, Congbo Cai2, Jingliang Cheng1, and Jianfeng Bao1 | ||
1Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Electronic Science, Xiamen University, Xiamen, China, 3Department of Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Keywords: Tumors, Relaxometry There is an immediate need for neurosurgeons to be able to identify certain molecular markers’ status of meningioma preoperatively, such as progesterone receptors and S100. In this study, we explored the use of histogram analysis of T2 maps and ADC maps in predicting such molecular markers. T2 maps and ADC maps could serve as useful tools for predicting PR and S100 status of meningiomas. Similar studies may be extended to investigate other pathological markers. |
| 1966 | Computer 149
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MRI-Based Radiomics Approach with Deep Learning for Distinguishing IDH-Mutant from IDH Wild-type Grade-4 Astrocytomas |
| Seyyed Ali Hosseini1,2, Elahe Hosseini3, Isaac Shiri4, Ghasem Hajianfar5, Stijn Servaes1,2, Pedro Rosa-Neto1,2, Laiz Godoy6, Stephen Bagley7, MacLean Nasrallah8, Donald M O’Rourke9, Suyash Mohan6, and SANJEEV CHAWLA6 | ||
1Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montréal, QC, Canada, 2Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital,McGill University, Montreal, QC, Canada, 3Electrical and Computer Engineering, Kharazmi University, Tehran, Iran (Islamic Republic of), 4Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland, 5Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran (Islamic Republic of), 6Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 7Hematology-Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 8Clinical Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 9Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Tumors, Radiomics Patients (n=57) with isocitrate dehydrogenase (IDH) mutant grade-4 astrocytomas and IDH wild-type glioblastomas underwent anatomical imaging (post-contrast T1 and T2-FLAIR) on 3T magnet. Neoplasms were segmented into 5 ROIs and 105 radiomics features were extracted from each ROI. Features were subsequently selected using various algorithms. Patients were divided into two groups (50%-training and 50%-testing). A GAN-based deep learning algorithm was used to generate 1000 synthesized data-sets and four distinct deep-learning modules were implemented. The best model for differentiating two genotypes of neoplasms was obtained from core tumor regions by using K-best feature selection and Ensembled algorithm with high diagnostic performance. |
| 1967 | Computer 150
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Radiogenomic-based model identifies prognostic-related biological pathways in diffuse midline gliomas |
| Xiaorui Su1, Xibiao Yang1, Shuang Li1, Hanbing Shao1, Yukun Liu2, and Qiang Yue1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2West China School of Medicine &West China Hospital, Chengdu, China |
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Keywords: Tumors, Radiomics To explore biological interpretation of prognosis-related radiomic signatures in diffuse midline gliomas, forty-one cases with paired MRI and RNA sequencing were screened in the public database TCGA-TCIA. We extracted radiomics features from preoperative MRI and divided these patients into high- and low-risk groups. Differential and enrichment analysis showed that high-expression genes of the high-risk group were mainly activated and involved in biological processes such as axon extension, neurotransmitter signaling, and cell connection. Moreover, typical driver molecular changes known in DMG were observed. It suggested that biological interpretation of prognosis-related radiomic signatures could be achieved by integrating MRI and RNA data |
| 1968 | Computer 151
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The Value of Multi-parametric MRI-Based Radiomics Model in Predicting the IDH1 Mutation in Glioma |
| Shao ru zhang1, Zhi qiang Chen2, Xiao hua Chen1, Zhuo Wang1, Yun shu Zhou1, Shi li Liu1, Ruo di Zhang1, Yu hui Xiong3, and Bing Chen4 | ||
1Clinical medicine school of Ningxia Medical University, Yinchuan, China, 2Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3GE Healthcare, Beijing, China, 4Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Tumors, Radiomics This study aims to explore the value of multi-parametric MRI-based radiomics model for non-invasively predicting IDH1 mutation in glioma. It was shown that among various single-sequence radiomics models, the contrast-enhanced T1-weighted image radiomics model should be considered as an optimal model in predicting IDH1 mutation, while the combined model based on three sequences could further improve the predicting performance. |
| 1969 | Computer 152
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Multi-Parametric MRI-based radiomics for noninvasively predicting Tert genotype in Oligodendroglomas |
| Jun Zhao1, Tiejun Gan2, Xiaoai Ke1, Wanjun Hu2, Qing Zhou1, Jing Zhang2, and Junlin Zhou1 | ||
1Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China |
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Keywords: Tumors, Radiomics, Multimodal,Quantitative Imaging In this study, radiomic based predictive models using MRI can non-invasively assess Tert genotype of Oligodendrogliomas(ODs).Compared With histopathological assessment,radiomic based predictive models has its unique advantages in assessing Tert genotype of ODs. such as noninvasive, more comprehensive information about tumor heterogeneity and repeatable.Furthermore,radiomic based predictive models can clearly and directly show Tert genotype of ODs.Therefore, it is a potential alternative to invasive biopsy. |
| 1970 | Computer 153
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Glioma grading using multiparametric MRI: head-to-head comparison among four different advanced techniques |
| Minkook Seo1, Yangsean Choi1, Youn Soo Lee2, Kook-Jin Ahn1, Bum-soo Kim1, Jae-Sung Park3, and Sin-soo Jeon3 | ||
1Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of, 2Hospital Pathology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of, 3Neurosurgery, Seoul St. Mary's Hospital, Seoul, Korea, Republic of |
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Keywords: Tumors, Tumor, Glioma Diagnostic performances differentiating low-grade (LGGs) from high-grade gliomas (HGGs) were compared between the four advanced techniques of multiparametric MRI—DSC, DCE, MRS and DWI. Sixty-four patients with pathologically confirmed glioma underwent preoperative multiparametric MRI with the four techniques, followed by histogram analysis of the tumors. HGGs showed significantly higher Ktrans, rCBV, and Cho/Cr than LGGs. The AUROC of the 95th percentile Ktrans was 0.83, being the most helpful parameter, followed by 95th percentile rCBV (0.72). Significant correlations were observed between the 95th percentile rCBV and Ktrans. Our findings demonstrate higher diagnostic utility of DCE and DSC MRI in glioma grading. |
| 1971 | Computer 154
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A clini-radiomics model based magnetic resonance imaging for differentiating fibroblastic from non-fibroblastic meningioma |
| Tao Han1, Xianwang Liu1, and Junlin Zhou1 | ||
1Lanzhou University Second Hospital, LanZhou, China |
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Keywords: Tumors, Machine Learning/Artificial Intelligence This study evaluated the feasibility of noninvasive preoperative differentiation fibroblastic meningioma (FM) from non-fibroblastic meningiomas (nFM) based a clini-radiomics model. A total of thirteen radiomics features were included after Selectpercentile and Lasso feature screening. Our results showed that Random forest is the most efficient among the six radiomics models in differentiating FM from nFM, and the diagnostic efficacy of clini-radiomics models in training and validation group is further improved. Therefore, we believe that the clini-radiomics model is of great value in noninvasive preoperative differentiation of FM and nFM and contributes to the selection of individualized treatment options for meningioma patients. |
| 1972 | Computer 155
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The Association of Peritumoral Vasculature Radiomics of Lung Cancer Brain Metastasis with Patient Outcome after Radiosurgery |
| Chien-Yi Liao1, Cheng-Chia Lee2, Huai-Che Yang2, Wen-Yuh Chung2, Hsiu-Mei Wu3, Wan-Yuo Guo3, Ren-Shyan Liu4, and Chia-Feng Lu1 | ||
1National Yang Ming Chiao Tung University, Taipei, Taiwan, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, Taipei, Taiwan, 3Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan, Taipei, Taiwan, 4Department of Medical Imaging, Cheng-Hsin General Hospital, Taipei, Taiwan, Taipei, Taiwan |
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Keywords: Tumors, Radiotherapy Gamma Knife radiosurgery (GKRS) is a first-line treatment for brain metastases (BMs) from non-small cell lung cancer (NSCLC). The convolutedness, leakiness and disorganized structure of the peritumoral vasculature have been suggested to be related to the treatment resistance of the tumor. In this study, radiomic features that measure the morphology and spatial organization of peritumoral vasculature were extracted from pre-GKRS MRI. These features were applied to predict overall survival after GKRS in NSCLC-BM patients. We suggested that peritumoral vasculature radiomics could facilitate patient management by identifying potential benefits of GKRS. |
| 1973 | Computer 156
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The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion |
| Jun Jiang1, Juan Yu1, Xiajing Liu1, Kan Deng2, Fan Lin1, and Liangping Luo3 | ||
1Shenzhen Second People's Hospital, Shenzhen, China, 2Philips Healthcare, Guangzhou, China, 3The First Affiliated Hospital of Jinan University, Guangzhou, China |
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Keywords: Tumors, MR Value The purpose of this study is to explore the efficacy of clinical and MRI-specific features for tumor grading and the brain invasion assessment in patient with meningioma. Our results showed that the tumor-brain interface is considered as a key factor, preoperative MRI has excellent performance in diagnosing meningioma WHO grade and brain invasion. |
| 1974 | Computer 157
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Correlation of MRI Radiomics Features and Recurrence After Gamma Knife Treatment in Parasagittal and Falx Meningiomas |
| Esra Sümer1, O Artunç Türe2, Meriç Şengöz3,4, M Necmettin Pamir3,4, Alp Dinçer4,5, Koray Özduman3,4, and Esin Ozturk-Isik1,4 | ||
1Institute of Biomedical Engineering, Boğaziçi University, İstanbul, Turkey, 2Department of Radiation Oncology, Acıbadem University, İstanbul, Turkey, 3Department of Neurosurgery, Acıbadem University, İstanbul, Turkey, 4Brain Tumor Research Group, Acıbadem University, İstanbul, Turkey, 5Department of Radiology, Acıbadem University, İstanbul, Turkey |
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Keywords: Tumors, Radiomics, Gamma Knife, meningioma Meningiomas located at and around the falx and superior sagittal sinus are known to have a more aggressive clinical behavior. Additionally, their localization and invasion characteristics make complete resection difficult, creating a need for radiosurgery. This study assessed the relationship between radiomics/clinical features of parasagittal and falx meningiomas and their recurrence-free survival after Gamma Knife. The radiomics and clinical features (age, pre-op tumor volume, coverage, and sensitivity) were analyzed together. Univariable Cox analysis associated maximum and skewness of T1 lesion, age, TV, and coverage, whereas multivariable Cox analysis associated skewness of T2 lesion, coverage, and selectivity with RFS. |
| 1975 | Computer 158
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Prediction of Astrocytoma Pathological Grade Using Radiomics Extracted from Pre-operative Multiparametric MRI |
| Esra Sümer1, Ayça Ersen Danyeli2,3, M. Necmettin Pamir3,4, Koray Özduman3,4, Alp Dinçer3,5, and Esin Ozturk-Isik1,3 | ||
1Institution of Biomedical Engineering, Boğaziçi University, İstanbul, Turkey, 2Department of Medical Pathology, Acıbadem University, İstanbul, Turkey, 3Brain Tumor Research Group, Acıbadem University, İstanbul, Turkey, 4Department of Neurosurgery, Acıbadem University, İstanbul, Turkey, 5Department of Radiology, Acıbadem University, İstanbul, Turkey |
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Keywords: Tumors, Radiomics, astrocytoma, pathological grade, machine learning The astrocytomas are currently graded from 2 to 4 according to World Health Organization 2021 central nervous system tumor classification. Increasing grade defines increasing malignancy. This study aims to explore the potential of radiomics features extracted from multiparametric pre-operative MRI to predict the grade of astrocytomas. For differentiation of grade 2 from grades 3&4, the FLAIR radiomics were predominantly determined by the feature selection procedure. The highest accuracy for differentiating grade 2 from grades 3&4 was 88.04±0.03% (92.37±0.04% precision and 86.76±0.04% recall). |
| 1976 | Computer 159
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Histogram-based analysis of recurrence pattern correlations with MGMT methylation status in glioblastoma using synthetic MRI and 3D-ASL |
| Pei Dang1, Xueying Huang2, Xin Ge3, Lidong Wang4, Aijun Wang2, Minglei Wang2, Xuhong Yang5, Yuhui Xiong6, and Xiaodong Wang7 | ||
1Radiology, General Hospital of Ningxia Medical University, yinchuan, China, 2General Hospital of Ningxia Medical University, Yinchuan, China, 3Lanzhou University, Lanzhou, China, 4Radiology, Yinchuan Hospital of Traditional Chinese Medicine, Yinchuan, China, 5Ningxia Medical University, Yinchuan, China, 6GE Healthcare MR Research, Beijing, China, 7Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Tumors, Cancer, Glioblastoma; Synthetic MRI; 3D-ASL; Histogram; MGMT; Recurrence patterns At least 10% of glioblastoma relapses occur at distant and even contralateral locations. This disseminated growth limits surgical intervention and contributes to neurologicalmorbidity.The aim of the present study was to evaluate factors predicting the recurrencepattern determined.The results revealed that the pattern of recurrence in glioblastoma patients after combined radio-chemotherapy treated are strictly correlated with age at diagnosis and MGMT methylation status.Whole-tumor histogram analysis of quantitative parameters from synthetic MRI and 3D-ASL was to evaluate the value of predicting MGMT methylation status .Combining T110th, T210th ,and CBFentropy may explore as an effective strategy to predict of MGMT methylation status. |
| 2076 | Computer 81
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A Machine Learning Approach for Identifying the Severity and Regional Anatomical Location of HIV Infection in the Brain |
| Teddy Salan1, Sulaiman Sheriff1, Sameer Vyas2, Deepika Aggarwal2, Paramjeet Singh2, and Varan Govind1 | ||
1University of Miami, Miami, FL, United States, 2Postgraduate Institute of Medical Education and Research, Chandigarh, India |
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Keywords: Infectious disease, Machine Learning/Artificial Intelligence Identifying and monitoring viral habitats of HIV in the brain is crucial to the advancement of treatment strategies for containing the infection. However, no in-vivo methods currently exist for this purpose. In this study, we demonstrate the use of a machine learning model that integrates brain measurements from MRSI, DTI, and DKI for identifying the severity and anatomical location of microstructural and metabolic abnormalities in the brain. This information may provide important clinical and diagnostic value for the treatment of people living with HIV. |
| 2077 | Computer 82
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Symptomatic cerebrospinal fluid HIV escape: a quantitative MR-based assessment |
| Serena Capelli1, Anna Caroli1, Giulio Pezzetti2, Francesca Ferretti3, Paola Cinque4, and Simonetta Gerevini2 | ||
1Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica (BG), Italy, 2Department of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, Italy, 3Lewisham and Greenwich NHS trust, London, United Kingdom, 4Unit of Infectious Diseases, San Raffaele Scientific Institute, Milano, Italy |
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Keywords: Infectious disease, Infectious disease, HIV This study aimed at quantitatively assessing T1-weighted, FLAIR and DWI brain alterations in 14 patients with cerebrospinal fluid HIV escape (HIV-ESC) and 7 patients with untreated HIV encephalitis (HIV-ENC), versus 11 HIV patients without neurological problems and 12 HIV-negative controls. HIV-ESC and HIV-ENC patients showed significantly higher ADC in WM and GM and increased WM FLAIR signal than the other groups. In HIV-ESC patients, the heterogeneous GM volume was negatively correlated with MRI time from infection. WM FLAIR hyperintensity in HIV-ESC and HIV-ENC patients may reflect vasogenic edema, with mass effect depending on its degree and possible underlying brain atrophy. |
| 2078
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Computer 83
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Feasibility of textural analysis and very-low-field magnetic resonance for imaging Nipah virus infection |
| Kunal Aggarwal1,2, Yu Cong3, Ji Hyun Lee4, Venkatesh Mani3, Claudia Calcagno5, Michael R. Holbrook5, and Sairam Geethanath6 | ||
1Department of Electrical and Computer Engineering, Technical University Munich, Munich, Germany, 2Deptartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York City, NY, United States, 3National Institute of Allergy and Infectious Diseases, Fort Detrick, MD, United States, 4Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 5National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, MD, United States, 6Mount Sinai Hospital, New York, NY, United States |
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Keywords: Infectious disease, Infectious disease Our study focuses on textural analysis of high field and low field MR images and its validation through simulation. We acquired MR images of three NHPs at 3T injected with NiV and simulated them into low field to perform texture analysis for different neuroanatomies. The low field simulation was done by changing contrast, resolution and SNR. The validation of low field simulation was performed by scanning phantom at 3T and 0.05T and passing the data though low field simulator. Results showed four out of 14 textural features had similar changes in 2 NHPs. |
| 2079 | Computer 84
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Correlation of Endolymphatic Hydrops and Perilymphatic Enhancement with Clinical Features of Ménière’s Disease |
| Jinye Li1, Mengxiao Liu2, Linsheng Wang3, Chuanting Li3, Lixin Sun3, and Yafei Liu4 | ||
1shangdong provincial ENT hospital, Jinan, China, 2Siemens healthineers, Shanghai, China, 3Shandong Provincial ENT Hospital, Jinan, China, 4Shandong Mental Health Center, Jinan, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT To investigate the correlation of the EH grade and PE with clinical features in MD, we evaluated their correlations by using the cubic spline models and multivariate analysis. We found that a nonlinear or linear correlation of EH grade and SIR with duration of disease-related symptoms and hearing thresholds. Additionally, the higher duration of vertigo and LFHT were associated with a higher EH grade, as well as duration of tinnitus and vestibular EH for SIR. Consequently, the grades of EH and the extent of PE in patients with MD can be evaluated by use of some clinical features and PTA. |
| 2080 | Computer 85
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Effect of a flow-diverter stent on flow in the vessel and aneurysm measured with MRI. |
| Lana Bautz1, Oluwabusayo A. Oni2, Hivnu Toraman3, Olav Jansen3, Jan-Bernd Hövener1, Naomi Larsen3, and Mariya S. Pravdivtseva1 | ||
1Department of Radiology and Neuroradiology, Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), University Medical Center Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany, Kiel, Germany, 2University of Florida, Gainesville, FL, United States, 3Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel, Kiel, Germany |
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Keywords: Data Analysis, Treatment, Evaluation of aneurysm treatment Flow diverter stents are effective for the treatment of intracranial aneurysms at a high risk of rupture. Still, complications may occur after stent implantation, so evaluation of aneurysm treatment is required. Treatment follow-up can be performed with 4D phase-contrast MRI. In this work, flow within the aneurysm and adjacent vessels with and without stent was measured with 4D flow. Strong metal artifacts were observed at the parent vessel which resulted in MRI signal voids and a 30 % reduction of measured flow. No artifacts were seen within an aneurysm sac, here flow was reduced up to 83 %. |
| 2081 | Computer 86
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Voxel-Based Brain Morphometry: an Optimized Image Analysis Pipeline and Proof-of-Concept in a Non-human Primate Model of Ebola Virus Infection |
| Byeong-Yeul Lee1, Ji Hyun Lee2, Jeffrey Solomon3, Marcelo Castro1, Venkatesh Mani1, Joseph Laux1, Winston T. Chu2, Matthew G. Lackemeyer1, Jordan K. Bohannon4, Anna N. Honko5, Ian Crozier3, Jens H. Kuhn1, and Claudia Calcagno1 | ||
1Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, United States, 2Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 3Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, United States, 4National Biodefense Analysis and Countermeasures Center, Frederick, MD, United States, 5Boston University School of Medicine, Microbiology, Boston, MA, United States |
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Keywords: Infectious disease, Infectious disease We present an optimized voxel-based morphometry magnetic resonance imaging (MRI) analysis pipeline for non-human primate brain images, and its preliminary application in Ebola virus (EBOV)-exposed rhesus monkeys. Results suggest the optimized pipeline can detect brain morphometric changes after EBOV exposure in this model. Further analyses will be required to confirm and build upon these findings, including their implications for acute and post-acute neurological findings in human survivors. Future studies may make use of this and other optimized, voxel-based pipelines to shed further light on the role of central nervous system involvement in EBOV and other infectious diseases. |
| 2082 | Computer 87
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Association of Plaque Characteristics, Pial Collaterals and Perfusion with Recurrent Ischemic Stroke in Middle Cerebral Artery Stenosis |
| Jia-Wei Yu1, Rui-Ying Li1, Xian-Ce Zhao2, Shan Huang2, and Deng-Ling Zhao1 | ||
1Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Stroke, Atherosclerosis Association between plaque characteristics, perfusion, pial collaterals (PCs) and recurrent ischemic stroke is unclear. Few analyses focus on combination of blood vessels, perfusion and PCs. In this study, 62 patients presenting with a transient ischemic attack or acute ischemic stroke caused by middle cerebral artery atherosclerosis were involved. All patients underwent the routine head MRI/MRA scan and high-resolution vessel wall imaging examinations. We performed a comprehensive assessment of plaque characteristics, perfusion and PCs. We concluded that brain perfusion and PCs are correlated with recurrence of ischemic stroke and their combination provided incremental value in identifying the recurrence of ischemic stroke. |
| 2083 | Computer 88
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Application of slice-accelerated one-minute TGSE-BLADE DWI in clinical practices |
| Sachi Okuchi1, Yasutaka Fushimi1, Satoshi Nakajima1, Akihiko Sakata1, Takuya Hinoda1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Satoshi Ikeda1, Shuichi ito1, Miyuki Takiya1, Kun Zhou2, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China |
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Keywords: Stroke, Artifacts TGSE-BLADE DWI has been reported to reduce geometric distortion and susceptibility artifacts, however the long acquisition time prevent its clinical application. We reduced acquisition time to 1 minute for TGSE-BLADE DWI using slice acceleration (1-min TGSE-BLADE DWI). We compared distortion and artifacts between SS-EPI DWI and 1-min TGSE-BLADE DWI, and evaluated diagnostic performance for acute infarctions of 1-min TGSE-BLADE DWI. The result shows that the 1-min TGSE-BLADE-DWI has better quality image in terms of distortion and artifacts, and higher diagnostic performance for acute infarctions. TGSE-BLADE DWI with slices acceleration is a promising method for evaluating lesions in acute stroke patients. |
| 2084 | Computer 89
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Subclinical vascular damage is associated with cognitive decline in middle-to-old age community subjects with high vascular risks |
| Yao Zhang1, Shan Xu2, Ruiting Zhang1, and Peiyu Huang2 | ||
1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Vessels, fMRI (resting state) Due to the insidious development of vascular degeneration, assessing subclinical vascular changes in people at high risks may aid early detection and intervention. We explored the relationship between the subclinical vascular function changes and vascular risks, vascular imaging markers, and cognition in a middle-to-old age community cohort. We found that larger vascular contractility in the intracranial arteries was related to younger age, less lacune, and better cognition. Participants with diabetes had a longer blood transit time from the ICAs to the capillary. These results suggested that subclinical vascular imaging markers were associated with brain parenchymal damage and cognitive decline. |
| 2085 | Computer 90
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Assessing tumor internal heterogeneity and pathological findings of oral tongue cancer using voxel-based TIC analysis |
| Xing Yang1, Ke Xue2, Zhen Tian1, Jingbo Wang1, Yongming Dai2, and Yingwei Wu1 | ||
1Shanghai Ninth People’s Hospital, affiliated to Shanghai Jiao Tong University, School of Medicine, Shanghai, China, 2MR Collaboration, Central Research Institute, Shanghai United Imaging Healthcare, Shanghai, China |
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Keywords: Head & Neck/ENT, DSC & DCE Perfusion Evaluating the heterogeneous characteristics and lymph node metastasis status of the tumor would be of importance to stratify patients to have the individually tailored management. In this study, we investigated the feasibility of pixel-by-pixel TIC method in evaluating tumor heterogeneity and predicting histological tumor grade and LNM in tongue SCC. We found that the pixel-by-pixel TIC analysis approach allowed the detection of the internal heterogeneity of the whole tumor. Ratio of Type 2 TIC pattern would facilitate the distinction of SCCs with different histological grades and LNM status, implying its tremendous potential in tumors with high heterogeneity. |
| 2086 | Computer 91
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Quantitative Microstructure Mapping of Head and Neck Squamous Cell Carcinoma Using Time-Dependent Diffusion MRI: A Preliminary Study |
| Hangzhi Liu1, Xinyan Wang1, Chen Zhang2, Thorsten Feiweier3, Xiaohong Chen4, and Junfang Xian1 | ||
1Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, China, Beijing, China, 2MR collaborations, Siemens Healthcare, Beijing, China, Beijing, China, 3Siemens Healthcare GmbH,Neurology Applications Development, Erlangen, Germany, Erlangen, Germany, 4Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, China, Beijing, China |
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Keywords: Head & Neck/ENT, Head & Neck/ENT This study investigated the feasibility of IMPULSED(Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion) to evaluate cell microstructure of head and neck squamous cell carcinoma. The results showed that mean cell diameter, extracellular diffusion coefficient and intracellular volume fraction are 9.47±3.33 µm,1.95±1.04μm²/ms and 0.23±0.14% respectively and consistent with the previous pathological reports. Patients with cervical lymph node metastases had significantly smaller mean cell diameters than those without metastases. Mean cell diameter decreased with increasing cycles of immunotherapy. This suggests that IMPULSED can quantitatively characterize cell properties of tumor in head and neck squamous cell carcinoma patients. |
| 2087 | Computer 92
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Correlation between magnetic resonance perfusion and Ki-67 expression in nasopharyngeal carcinoma |
| Nan Wang 1, Lijun Wang1, Lizhi Xie2, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Sparse & Low-Rank Models, Cancer Nasopharyngeal carcinoma (NPC) is a common malignancy in Southeast Asia. In this study, we explore the correlation between the quantitative parameters derived from dynamic contrast-enhanced magnetic resonance (DCE-MRI) of NPC with Ki-67 index. Results showed that the Ktrans mean was positively correlated with Ki-67. The Ktrans mean value was significantly higher in cases with a high Ki-67 status than in those with a low Ki-67 status (AUC 0.8519), and the cutoff value, sensitivity, and specificity was 0.479, 77.78%, and 100%, respectively, suggesting the Ktrans parameter of DCE-MRI has the most utility in distinguishing between high and low Ki-67 levels. |
| 2088 | Computer 93
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DWI Imaging for the Discrimination of Cytotoxic Lesions and Acute Ischemic Infarction of the Corpus Callosum: Utility of Relative ADC. |
| Xing Tang1 and Anqi Chen1 | ||
1Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China |
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Keywords: Head & Neck/ENT, Diffusion Tensor Imaging Cytotoxic lesions of the corpus callosum (CLOCCs) is a rare clinical-imaging syndrome, which is difficult to differentiate from acute ischemic infarction of the splenium of the corpus callosum (AII-SCC) by conventional MRI, DWI and ADC value. In this study, a novel relative ADC (rADC) value was proposed. Results showed that the rADC value of CLOCCs is significantly lower than that of AII-SCC, which Indicated that rADC value may have the potential to distinguish these two diseases. |
| 2089 | Computer 94
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Comparison of post mortem in situ and in vivo intravoxel incoherent motion of the human brain |
| Melanie Bauer1,2, Celine Berger1,2, Eva Scheurer1,2, and Claudia Lenz1,2 | ||
1Institute of Forensic Medicine of the University of Basel, Department of Biomedical Engineering, Basel, Switzerland, 2Institute of Forensic Medicine of the University of Basel, Health Department Basel-Stadt, Basel, Switzerland |
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Keywords: Head & Neck/ENT, Diffusion/other diffusion imaging techniques Performing intravoxel incoherent motion (IVIM) magnetic resonance imaging offers the possibility to differentiate various diffusion processes according to their varying molecule speeds. In this study, the IVIM parameters perfusion fraction, diffusion and pseudo-diffusion were determined in the human brain for 12 post mortem in situ and 2 in vivo cases. Our results show that the IVIM parameters decrease after death and that they are higher in gray matter than in white matter. Besides, the age at death, the core temperature of the subjects and the post mortem interval have an effect on the post mortem IVIM parameters. |
| 2090 | Computer 95
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Estrogen Deprivation has a Negligible Impact on Thalamic Metabolism under Central Sensitization |
| Dayna L. Richter1,2, Samuel Holder1,2, Harrison D Craythorne2, and Samuel Colles Grant1,2 | ||
1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States |
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Keywords: Neuroinflammation, Spectroscopy, Relaxation-enhanced spectroscopy, lactate, total creatine Previous examinations of the nitroglycerin (NTG)-based central sensitization, a chemical model of migraine, in the Sprague-Dawley model revealed increases in thalamic lactate signal. This held across sexes, albeit at different strengths. To investigate the potential source of any sex differences, estradiol deprivation is examined using 1H relaxation-enhanced spectroscopy localized to the thalamus. While the same energetic deprivation is seen, estradiol deprivation had negligible impact on the thalamic metabolic profile under NTG. Further examinations under alternate modalities are needed. |
| 2091 | Computer 96
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Ultra High Spatial Resolution MRI of Intact Ex Vivo Multiple Sclerosis Brain |
| Ken Sakaie1, Jagjit Sidhu1, Kedar Mahajan2,3, Kunio Nakamura4, Daniel Ontaneda2, Bruce Trapp3, Mark J. Lowe1, Stephen Jones1, and Emmanuel Obusez1 | ||
1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 2Mellen Center, The Cleveland Clinic, Cleveland, OH, United States, 3Neurosciences, The Cleveland Clinic, Cleveland, OH, United States, 4Biomedical Engineering, The Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Multiple Sclerosis, Multiple Sclerosis Treatment options for progressive multiple sclerosis (MS) are limited and the lack of sensitive and specific MRI biomarkers is a major hurdle in therapeutic development. A number of pathophysiological processes are repeatedly found on histology but are difficult to identify accurately on MRI. Ultra-high spatial resolution MRI of intact ex vivo brain promises to help bridge the gap between MRI and pathology. We demonstrate progress towards visualizing potential biomarkers for progressive MS. |
| 2092 | Computer 97
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The diagnostic value of TSE-DWI in patient with Benign paroxysmal positional vertigo (BPPV): a feasibility study |
| Cuilin Yin1, Jingjing Bai1, Ningning Ding1, Kai Ai2, and Jian Yang1 | ||
1The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Head & Neck/ENT, Diffusion/other diffusion imaging techniques, Benign paroxysmal positional vertigo, turbo spin-echo diffusion weighted imaging This study explored the feasibility of TSE-DWI in inner ear and determined the diagnostic accuracy and interobserver performance of TSE-DWI in BPPV. The method is to evaluate the difference of ADC values between benign paroxysmal positional vertigo (BPPV) patients and healthy controls. Our research shows that The ADC values of semicircular canal in the BPPV patients (affected side) were higher than that of the contralateral ear. Moderate diagnostic accuracy of DWI was seen in the diagnosis of BPPV. Therefore, we consider that the TSE-DWI derived ADC value may represent promising novel imaging markers of inner ear disease. |
| 2093 | Computer 98
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Association of longitudinal changes in cerebral microstructure with cognitive function in breast cancer survivors after adjuvant chemotherapy |
| Yi-Fang Wu1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai2,4, and Jun-Cheng Weng1,3,5 | ||
1Department of Medical Imaging and Radiological Sciences, and Department of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chang Gung University, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, 5Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan |
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Keywords: Neuroinflammation, Cancer Adjuvant chemotherapy for breast cancer might impact cognitive function and brain structure. In this study, we investigated the cerebral microstructural changes in breast cancer survivors after adjuvant chemotherapy and the correlation with cognitive function with longitudinal study designs. The results showed brain volume reduction in thefrontal and temporal regions were also observed in patients from baseline to postchemotherapy. An association between brain volume and cognitive performance was also found in the limbic system. According to our findings, the study was useful in developing a prediction model as well as a guide for cancer treatment. |
| 2094 | Computer 99
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Brain abnormalities in systemic lupus erythematosus using an advanced multi-parametric MR imaging method of MULTIPLEX: a feasibility study |
| Jiaying Mo1, Hai Lin2, Yongming Dai2, Xiangliang Tan1, and Yikai Xu1 | ||
1Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Head & Neck/ENT, Brain, Systemic lupus erythematosus Quantitative MRI can measure a variety of physiological tissue parameters, such as longitudinal T1 value, transverse T2 value and proton density, iron content and fat content. We applied an advanced multi-parametric MR imaging technique of MULTIPLEX that provides the maps of T1, T2*, proton density and quantitative susceptibility mapping, to investigate the brain abnormalities in systemic lupus erythematosus (SLE). We found that the MULTIPLEX could provide comprehensive and quantitative assessment of SLE-related regions captured in multiple MRI parameters, which might assist in our understanding of the neuropathological mechanism of SLE.
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| 2095 | Computer 101
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Evaluation of the Glymphatic System Using the DTI-ALPS Index in Patients with Spontaneous Intracerebral Haemorrhage |
| Chao Zhang1, Jingyun Sha1, Lulu Cai1, Houliang Zhao1, Weiqiang Dou2, and Kai Xu1 | ||
1Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China, 2MR Research China, GE Healthcare, Beijing, China |
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Keywords: Stroke, Diffusion Tensor Imaging, glymphatic system We evaluated the function of the human glymphatic system (GS) in patients with spontaneous intracerebral haemorrhage (sICH) using diffusion tensor imaging analysis along with the perivascular space (DTI-ALPS). Twenty patients with sICH and 31 healthy controls (HCs) were recruited for analysis. The results showed that DTI-ALPS index on the lesion side was significantly decreased, but not in the contralateral side in sICH or in HCs. And, the decreased DTI-ALPS index was significantly correlated with disease duration. This study confirmed the presence of GS dysfunction only ipsilateral to the lesion, indicating the GS may be a separate system in bilateral hemispheres. |
| 2096 | Computer 102
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Flow augmentation after occlusion maintains functional connectivity and mean diffusivity |
| Chisondi Simba Warioba1, Mira Liu1, Sean Foxley1, Julian Bertini1, Gregory Christoforidis2, and Timothy Carroll1 | ||
1Radiology, University of Chicago, Chicago, IL, United States, 2Mount Carmel, Columbus, OH, United States |
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Keywords: Stroke, fMRI (resting state) Through the use of resting state functional MRI, diffusion tensor imaging (DTI), and a unique canine stroke model, our study explored the functional and structural effects of maintaining perfusion pressure as a means of extending the window of opportunity for thrombectomy. In our preliminary results, the employment of flow augmentation indicated a maintenance of functional connectivity, mean T2* signal intensity, and mean diffusivity in the ischemic region. Through this we have shown a potential method of extending the "door-to-needle time" in stroke treatment and possible therapeutic effects of flow augmentation therapy in acute stroke. |
| 2097 | Computer 103
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Diffuse dural sinus hyperintensities on arterial spin labeling reflects reduced cerebral metabolic rate of oxygen in sickle cell anemia patients |
| Alexander K. Song1,2, Spencer L. Waddle3, Randall Sky Jones4, Niral J. Patel4, Samantha Davis4, Chelsea Custer1, Larry Taylor Davis3, Sumit Pruthi3, Jarrod J. Eisma1, Megan A. Aumann1, Lori C. Jordan4, and Manus J. Donahue1 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, United States, 3Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Stroke, Stroke Sickle cell anemia (SCA) patients have elevated cerebral blood flow and flow velocities to partially compensate for reduced blood oxygen content; this phenomenon may result in inefficient oxygen delivery to tissue due to accelerated red cell capillary transit. Pseudo-continuous arterial spin labeling (pCASL) and T2-relaxation-under-sping-tagging (TRUST) MRI methods were used to assess arterial-to-venous transit artifacts and oxygen metabolism in 150 SCA participants. Patients with diffuse dural sinus hyperintensities on pCASL had 22.7% lower cerebral metabolic rates of oxygen compared to their counterparts; however, values remained within a normal range of 2.91±0.69 ml O2/100g/min and were not associated with infarct history. |
| 2098 | Computer 104
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T2 Mapping in Hemorrhagic and Ischemic Stroke using Standard Clinical Images |
| Ashmita De1, Jeff Snyder1, Mahesh Kate2, Derek J. Emery3, and Alan H. Wilman1 | ||
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB, Canada, 3Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada |
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Keywords: Stroke, Brain T2 mapping can provide a route to monitor both iron changes in hemorrhage and water changes in ischemic stroke. Our aim is to investigate the value of T2 mapping from standard proton density and T2-weighted fast spin echo images for hemorrhagic and ischemic stroke. Rapid T2 maps using sequence modeling were reconstructed and compared with susceptibility and apparent diffusion coefficient for 13 hemorrhages and 14 ischemic stroke lesions respectively. Quantitative T2 is highly correlated with susceptibility for hemorrhage and diffusion for ischemic stroke, providing complementary measurements of water and iron changes. |
| 2099 | Computer 105
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Progressive Lactic Acidosis is Associated with Infarct Growth Volume in Acute Ischemic Stroke: A Longitudinal 3D MRSI Study |
| Bin Bo1, Tianyao Wang2, Ziyu Meng1, Yibo Zhao3,4, Yudu Li3,5, Rong Guo3,6, Wen Jin3,4, Xin Yu7, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 7Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Stroke, Spectroscopy Imaging lactic acidosis is of significance for injury assessment in acute stroke. In this study, we investigated the progression of lactate, along with the concomitant changes in N-acetylaspartate and creatine concentrations, and its relationship to infarct growth using high-resolution MRSI data acquired from a longitudinal cohort of 42 ischemic stroke patients. The results showed that the progression in lactate level was predictive of infarct growth volume from acute to subacute stroke. Our study might provide a useful biomarker for lactic acidosis and tissue injury assessment in ischemic stroke. |
| 2100 | Computer 106
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Temporal dynamic change patterns of intrinsic brain activity in multidomain brain networks in subcortical stroke patients |
| Caihong Wang1, Jingchun Liu2, Jun Guo3, Peifang Miao1, Ying Wei1, Kaiyu Wang4, and Jingliang Cheng1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Tianjin Medical University General Hospital, Tianjin, China, 3Tianjin Huanhu Hospital, Tianjin, China, 4GE Healthcare MR Research China, Beijing, China |
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Keywords: Stroke, fMRI, ischemic, cognitive, dynamic This study aimed to explore the temporal dynamic change patterns and the mechanisms of verbal memory deficit in chronic subcortical stroke patients with motor pathway based on the static and dynamic amplitude of low-frequency fluctuations. A total of 136 patients and 88 normal controls were included in the study. We found verbal memory deficits in the patients of chronic subcortical stroke involving the motor pathway, especially in patients with partial recovery. Moreover, subcortical stroke-induced functional deficits may not only occur in the motor system but also in the cognitive functional system. |
| 2101 | Computer 107
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Quantitative Parameters of Diffusion Spectrum Imaging: Prediction of Severe Neurologic Deficits at Discharge in Acute Ischemic Stroke Patients |
| Peirong Jiang1, Xiuzhu Xu1, Yanping Zheng1, Jialin Chen2, Peng Wu3, and Yunjing Xue1 | ||
1Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 2Neurology, Fujian Medical University Union Hospital, Fuzhou, China, 3Philips Healthcare, Shanghai, China |
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Keywords: Stroke, Ischemia, Neurologic deficits This study explores the value of quantitative parameters derived from diffusion spectrum imaging (DSI) in distinguishing between mild (NIHSS score ≤ 5) and severe (NIHSS score > 5) neurologic deficits at discharge in DWI positive acute ischemic stroke (AIS) patients. The method is to compare conventional diffusion and DSI parameters of acute infarction between the two groups. Our research shows DKI_AK, DKI_MKT, DKI_RK, MAP_RTPP and NODDI_ICVF can predict poor neural function outcome at discharge, with NODDI_ICVF demonstrates the highest diagnostic performance. DSI is a promising approach in detecting microstructural brain tissue changes in acute infarction lesion. |
| 2102 | Computer 108
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Assessing cerebral oxygen metabolism changes in preeclampsia using voxel-based morphometry of oxygen extraction fraction (OEF) maps in MRI |
| Chaofan Sui1, Qihao Zhang2, Junghun Cho2, Linfeng Yang3, Tao Chen3, Bin Guo3, Kelly M. Gillen2, Jing Li4, Lingfei Guo1, and Yi Wang2 | ||
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 3Department of Radiology, Jinan Maternal and Child Care Hospital, Jinan, China, 4Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China |
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Keywords: Stroke, Hypertension The objective of this study was to analyze the different brain oxygen metabolism statuses in preeclampsia. Furthermore, we also investigated the influencing factors that affect cerebral oxygen metabolism in preeclampsia. Forty-nine preeclampsia patients, forty nonpregnant healthy controls (NPHCs) and twenty-two pregnant healthy controls (PHCs) were included in this study. Brain OEF values were computed using quantitative susceptibility mapping (QSM) plus quantitative blood oxygen level‐dependent magnitude-based OEF mapping (QSM+qBOLD, or QQ). Voxel-based morphometry (VBM) was applied to investigate the differences of OEF values in brain regions among groups. |
| 2103 | Computer 109
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Ultra-high field MRI sequences for clot characterization in acute ischemic stroke |
| Karl-Olof Lövblad1,2, Daniela Dumitriu LaGrange2, Lijing Xin3, Philippe Reymond2, Seàn Fitzgerald4, Karen M. Doyle4,5, Paolo Machi1,2, Maria Isabel Vargas1,2, François Lazeyras2,3, and Isabel Wanke6,7,8 | ||
1Division of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland, 2Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 3Ecole Polytechnique Fédérale de Lausanne (EPFL), Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 4Department of Physiology, University of Galway, Galway, Ireland, 5CURAM, Sciene Foundation Ireland (SFI) Centre for Research in Medical Devices, University of Galway, Galway, Ireland, 6Division of Neuroradiology, Klinik Hirslanden, Zurich, Switzerland, 7Swiss Neuroradiology Institute, Zurich, Switzerland, 8Division of Neuroradiology, University of Essen, Essen, Germany |
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Keywords: Stroke, Stroke In acute ischemic stroke, the composition of the clot occluding the arteries is associated with the underlying pathophysiology and with the response to treatment. Innovative MRI sequences aim to improve the ability to recognize clot composition from neuroimaging signs. Using ultra-high field MR imaging of clot analogs, we demonstrate the ability of R2* map to distinguish between red blood cells-rich and fibrin-rich compositions. This technique can also be used for the volumetric analysis of formalin fixed clots. Further studies with intermediate clot compositions and improved phantoms will reveal the full potential of MRI sequences for depicting clot composition. |
| 2104 | Computer 110
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The Relationship between MR Imaging Characteristics of Bilateral Carotid High-risk Plaques and Recurrence of Stroke |
| Ruijing Xin1, Maoxue Wang1, and Bing Zhang1 | ||
1Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China |
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Keywords: Stroke, Atherosclerosis, High-risk plaque Carotid HRP is one of the major sources of ischemic stroke. Recent studies have focused on identifying characteristics of HRP which is defined as lesion with IPH, FCR, or LRNC. We compared the plaque characteristics of patients with bilateral carotid HRPs between patients with recurrent stroke and those without recurrent stroke using MR vessel wall imaging. We determined the association between HRP plaque features and recurrent stroke in patients with bilateral carotid HRPs. We found that those with larger plaque burden, more juxta luminal IPH and/or thrombus, and juxta luminal calcification in HRPs were more likely to have recurrent stroke. |
| 2105 | Computer 111
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Quantitative susceptibility mapping reveals an association between iron load in gray matter nuclei and different cerebral perfusion patterns |
| Yu Guo1, Weiqiang Dou2, Huimin Mao1, and Xinyi Wang1 | ||
1Radiology, The First Affiliated Hospital of Shandong First Medical University＆Shandong Provincial Qianfoshan Hospital, Jinan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Stroke, Perfusion The main purpose was to explore iron alterations in gray matter (GM) nucleus of patients with unilateral middle cerebral artery (MCA) stenosis or occlusion with varied cerebral perfusion states using quantitative susceptibility mapping (QSM). Sixty-one patients with unilateral MCA stenosis or occlusion were divided into three groups based on different cerebral perfusion patterns and examined with QSM. Iron-related susceptibility of GM nucleus subregions were assessed. The results showed that iron deposition in bilateral putamen and globus pallidus at the lesion side significantly increased in patients with extensive impaired but not hypo- or normal cerebral perfusion. |
| 2106 | Computer 112
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Automated Analysis of Dynamic Diffusion Abnormalities and Infarct Growth Following Ischemic Injury |
| Mihika Gangolli1,2, Alexander Kharlamov3, David Y. Chung4, Fernando Boada5, Victor E. Yushmanov3, Dzung L. Pham1,6, John A. Butman1,7, and Stephen C. Jones3,8 | ||
1Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States, 3Allegheny-Singer Research Institute, Pittsburgh, PA, United States, 4Radiology, Harvard Medical School, Charlestown, MA, United States, 5Radiology, Stanford University School of Medicine, Palo Alto, CA, United States, 6Radiology and Radiological Sciences, Uniformed Services University, Bethesda, MD, United States, 7Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 8CerebroScope, Pittsburgh, PA, United States |
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Keywords: Stroke, Diffusion/other diffusion imaging techniques, Peri-infarct depolarization, dynamic diffusion MRI An automated analysis pipeline was developed to detect and analyze the trajectories of dynamic diffusion abnormalities (DDAs) in a rat model of severe ischemic injury. DDAs were detected in both hemispheres of the brain and perilesional DDAs propagated along the infarct boundary. Infarct volume, quantified using apparent diffusion coefficient (ADC), increased during the recording period concomitantly with detected DDAs. Our approach could provide the means to explore the causal relationship between DDAs hypothesized to correspond with peri-infarct depolarizations and secondary expansion of infarcted tissue. |
| 2107 | Computer 113
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Identification of intracranial atherosclerotic plaque features associated with recurrent stroke: a multi-modality imaging study |
| Lingling Wang1, Beibei Sun1, Maysam Orouskhani2, Mahmud Mossa-Basha2, Jianrong Xu1, Yan Zhou1, Chengcheng Zhu2, and Huilin Zhao1 | ||
1Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2University of Washington, Seattle, United States, Seattle, WA, United States |
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Keywords: Stroke, Atherosclerosis, Calcification Intracranial atherosclerotic plaque is a major cause of stroke. Both CTA and vessel wall magnetic resonance imaging (VW-MRI) can identify high risk plaque features. We aim to investigate the intracranial atherosclerotic plaque features associated with recurrent stroke using a multi-modality imaging approach by combining CTA and whole brain VW-MR. We found that higher calcium burden quantified by volume and Agatston score of intracranial arteries, as well as whole-brain plaque number and culprit plaque burden were independently associated with recurrent acute stroke. |
| 2108 | Computer 114
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Artificial Intelligence-Driven Image Quality Assessment for Intracranial Vessel Wall Magnetic Resonance Imaging |
| Wenjia Peng1, Haiyan Zhao1, Xuefeng Zhang1, Luguang Chen1, Hao Li2, Shuo Wang2, and Jianping Lu1 | ||
1The First Affiliated Hospital of Naval Medical University, Shanghai, China, 2Fudan University, Shanghai, China |
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Keywords: Stroke, Stroke, vessel wall imaging Image quality control is a prerequisite for quantitative image analysis. We develop a convolutional neural network-based model for assessing the image quality of intracranial vessel wall MRI. Experimental results show that the model prediction is in good agreement with a senior radiologist, with a Cohen’s Kappa of 0.689. The model demonstrates real-time evaluation speed which is 500 times faster than the radiologist. It has the potential to be used in performing quality control on historical data for research purposes, and also can be used to examine the image quality immediately after the clinical MRI scan. |
| 2109 | Computer 115
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Neural correlates of bi-cephalic transcranial direct current stimulation in upper limb hand function post stroke |
| Ashu Bhasin1, Rahul Sharma1, MV Padma Srivastava1, and S Senthil Kumaran2 | ||
1Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 2Department of NMR, All India Institute of Medical Sciences, New Delhi, India |
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Keywords: Stroke, fMRI (task based) Non invasive brain stimulation holds great promise in post stroke recovery in upper limb hand function and inducing neural plasticity. Transcranial direct current stimulation (tDCS) enables the alteration of cortical excitability by passing direct currents causing hypo or hyperpolarization of neuronal resting membrane potentials. Bi-cephalic tDCS with anode applied on the affected cortex especially M1 and cathode over the non-affected cortex has been used to normalize excitatory and inhibitory corticospinal networks. |
| 2110 | Computer 116
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Comparison of 7T MRA and DSA in assessment of the Suzuki staging system for Moyamoya disease |
| Qi Duan1, Jinhao Lyu1, Caohui Duan1, Xiangbing Bian1, Jianxun Qu2, and Xin Lou1 | ||
1Chinese PLA General Hospital, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Stroke, High-Field MRI, Suzuki staging system Moyamoya disease (MMD) is an uncommon chronic cerebrovascular disease and a leading cause of stroke in pediatric and young patients. Suzuki staging system based on conventional digital subtraction angiography (DSA) is a useful and important index in clinical. However, DSA is invasive and unnecessary in some situations. 7T TOF-MRA enables the visualization of the "puff of smoke" collateral network in MMD compared to 1.5T and 3T. We tried to grade the Suzuki staging system by using 7T TOF-MRA in MMD patients. Our results indicated that 7T TOF-MRA showed excellent performance as DSA on grading the Suzuki staging system in MMD. |
| 2111 | Computer 117
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Evaluation of progressive evolution of oxygen extraction fraction in the brain during acute stroke by using quantitative susceptibility mapping |
| Xiaodong Zhang1, Yuguang Meng1, and Chun-Xia Li1 | ||
1Emory University, Atlanta, GA, United States |
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Keywords: Stroke, Brain, Oxygen extraction fraction Oxygen extraction fraction (OEF) has been suggested to be an effective measure to assess the oxygen metabolism and viability of tissue at risk. The preliminary results in a monkey model of stroke demonstrated progressive OEF reduction in both grey matter and white matter after pMCAO, in agreement with the neuron loss and fiber denegation as indicated by diffusion MRI indices following stroke. The findings suggest QSM derived OEF could provide additional information about the oxygen metabolism of the tissue and may be used to assess the ischemia-induced damage of the brain during acute stroke. |
| 2112 | Computer 118
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Following evolving pH changes in the penumbra using a novel MRI method |
| Eleni Demetriou1,2, Valerie Taylor3, Mohamed Tachrount4, Kimmo Jokivarsi 5, Olli Grohn5, Rolf Jager6, Karin Shmueli7, and Xavier Golay8 | ||
1Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Brain repair and Rehabilitation, Institute of Neurology, Dallas, TX, United States, 3University College of London, Center for Advanced Biomedical Imaging, London, United Kingdom, 4Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, London, United Kingdom, 5A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, Kuopio, Finland, 6Institute of Neurology, Brain repair and rehabilitation, London, United Kingdom, 7Department of Medical Physics & Bioengineering, University College London, UK, London, United Kingdom, 8Brain repair and rehabilitation, Institute of Neurology, London, United Kingdom |
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Keywords: Stroke, Ischemia, ischemic penumbra Here, our goal was to visualise dynamic pH changes in a rat model of MCAO and their relation to other imaging techniques for identifying the penumbra zone which is used to guide therapeutic intervention. |
| 2113 | Computer 119
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A Preliminary study on evaluation of collateral compensatory by high-resolution CS TOF MRA and 4D flow：Case Series |
| Yue Ma1, Yueluan Jiang2, Dan Tong1, Zechen Yu3, and Xinpeng Liu1 | ||
1Radiology, First Hospital of Jilin University, Changchun of Jilin province, China, 2MR Scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd., Beijing, China, 3Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Changchun of Jilin province, China |
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Keywords: Stroke, Blood vessels Evaluation of hemodynamic and geometric changes of intracranial atherosclerosis and follow-up is of great clinical significance. A comprehensive quantification of the whole collateral recruitment in the circle of Willis (CW) is needed. In this work, we combined High-resolution CS TOF-MRA and 4D Flow MRI to investigate the situation of collateral recruitment. We were able to demonstrate a new way to visual and quantify the cerebrovascular impact of a significant intracranial stenosis and the compensatory mechanism of the collaterals. |
| 2114 | Computer 120
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The application of MTP synthetic sequence in the diagnosis of acute ischemic stroke |
| Peipei Chang1, xinyue liang2, Yanwei Miao1, and yongming dai3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2MR Collaboration,Central Research Institute, United Imaging Healthcare, Shanghai, China, 3MR Collaboration,Central Research Institute, United Imaging Healthcare, shanghai, China |
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Keywords: Stroke, Ischemia, T2 Star Multiple parametric (MTP) is a novel quantitative MRI technique that allows the generation of quantitative maps as well as synthetic weightings from a single acquisition. Preliminary results show that MTP synthetic sequence can effectively distinguish infarcted brain from normal tissue with a good diagnostic performance. MTP imaging offers the potential to create a standardized brain imaging protocol providing multiple types of quantitative tissue property information and qualitative information in just a few minutes. The aim of this study is to evaluate the potential of MTP in the mapping-based identification of acute ischemic stroke. |
| 2115 | Computer 121
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Texture analysis of mean apparent propagator-magnetic resonance imaging in distinguishing glioblastoma and solitary brain metastasis |
| Guohua Zhao1, Yizhou Su2, Yusong Lin2, Jie Dong3, Eryuan Gao1, Xiaoyue Ma1, Jie Bai1, Huiting Zhang4, Xu Yan4, Guang Yang5, and Jingliang Cheng1 | ||
1The Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Collaborative Innovation Center for Internet Healthcare, Zhengzhou, China, 3School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China, 4MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 5Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques Preoperative differentiation between glioblastomas (GBM) and solitary brain metastases (SBM) would aid in appropriate treatment planning and follow-up. Mean apparent propagator (MAP) MRI is effective in evaluating the inhomogeneity of brain microstructure. Texture analysis can be used to extract and quantify these inhomogeneities. In this study, we extracted the texture features from MAP-MRI, and validated the candidate features in discriminating between GBM and SBM. The RTAP model achieved the best discriminative power for the single metric model, and performed similarly to the MAP-MRI combined model. Texture analysis based on MAP-MRI has great potential to distinguish between the two entities. |
| 2116 | Computer 122
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Radiomics and Machine Learning for Prediction of Relapsed and Refractory Primary Central Nervous System Lymphoma |
| Yan-Lin Liu1, Ching-Chung Ko2,3, Yang Zhang1, Lee-Ren Yeh4, Jeon-Hor Chen1, and Min-Ying Su1 | ||
1Department of Radiological Sciences, University of California, Irvine, CA, United States, 2Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 3Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 4Department of Radiology, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan |
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Keywords: Tumors, Machine Learning/Artificial Intelligence A subset of primary central nervous system lymphoma (PCNSL) may show early relapsed/refractory (R/R) disease after treatments. This study investigated the role of radiomics and machine learning for the prediction of R/R in PCNSL after treatments. Total 46 patients with pathologically confirmed PCNSL were included. Total 321 radiomic features were extracted from various pre-treatment MR sequences in each patient to build prediction models. Among various machine learning algorithms, the best predictive performance with accuracy of 82.6%, precision of 80%, and AUC of 0.85 were obtained in support vector machine. |
| 2117 | Computer 123
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Grading brain astrocytoma using convolutional neural network: contrast-enhanced T1 and susceptibility-weighted imaging |
| Zong-Ze Chen1, Yong-Han Lai1, Ching-An Liao1, Teng-Yi Huang2, Ping-Hong Lai1,3,4, and Tzu-Chao Chuang1 | ||
1National Sun Yat-Sen University, Kaohsiung, Taiwan, 2National Taiwan University of Science and Technology, Taipei, Taiwan, 3Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, 4National Yang-Ming University, Taipei, Taiwan |
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Keywords: Tumors, Susceptibility Susceptibility-weighted imaging (SWI) has shown its potential to discriminate between high-grade and low-grade astrocytoma. In this study, we developed a fully automatic diagnosis system for astrocytoma grading by using convolutional neural network with contrast-enhanced T1-weighted images and SWI, separately or jointly, as input data. The results show that the model with both imaging modalities as input data provides high accuracy in astrocytoma grading and is potentially helpful for clinical diagnosis. |
| 2118 | Computer 124
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The application value of Radiomics combined with clinical features and genomics in predicting glioma survival |
| Jinlong He1, Yang Gao1, Shaoyu Wang2, and Huapeng Zhang2 | ||
1Department of Imaging Diagnosis, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Tumors, Radiomics This study aimed to explore the value of MR multi-sequence radiomics combined with clinical features and genomics in predicting the survival of patients with glioma. Results showed that the clinical and imaging characteristics, radiomics features, and genotype status were important risk factors for glioma survival. The combination of multiple factors can better predict and evaluate the prognosis of glioma. Multi sequence based radiomics combined with clinical and imaging features and genotype status can better reflect the heterogeneity and prognosis of glioma. |
| 2119 | Computer 125
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Prediction of glioma genotypes by APTw-derived radiomic features combined with deep learning networks |
| Xinying Ren1,2, Diaohan Xiong1,2, Yujing Li1,2, Kai Ai3, and Jing Zhang1 | ||
1Lanzhou University Second Hospital, Lanzhou, China, 2Second Clinical School, Lanzhou University, Lanzhou, China, 3Philips Healthcare, Xi'an, China |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Radiomics The study aimed to predict glioma genotypes combined with radiomic features and deep learning networks by using amide proton transfer (APT) imaging. The genetic subtypes of gliomas can be predicted by radiomics and deep learning networks using conventional MRI, however there are still problems with low accuracy and insufficient generalization. This study puts the screened APT radiomics features into a neural network and compares it with traditional radiomic. The results demonstrated that the proposed model had better performance. Therefore, APTw-derived radiomic features have good ability to predict 3-class molecular typing, providing novel classification tool for non-invasive evaluation for glioma genotypes. |
| 2120 | Computer 126
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The Value of Multiparametric MRI-based Radiomics Features in Distinguishing Primary Central Nervous System Lymphoma from High-grade Glioma |
| Shao ru zhang1, Zhi qiang Chen2, Xiao hua Chen1, Zhuo Wang1, Shi li liu1, Yun shu Zhou1, Ruo di Zhang1, Yu hui Xiong3, and Bing Chen4 | ||
1Clinical medicine school of Ningxia Medical University, Yinchuan, China, 2Department of Radiology ,the First Hospital Affiliated to Hainan Medical College, Haikou, China, 3GE Healthcare, Beijing, China, 4Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China |
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Keywords: Tumors, Brain In this study, we aim to explore the radiomics model constructed by a single sequence or a combined sequences whether has the same or better performance, and to explore the effect of different choices of region of interest to the performance of radionmics model. |
| 2121 | Computer 127
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Evaluation of relaxometry in differentiating recurrence and necrosis of high-grade glioma after radiotherapy using synthetic MR |
| LIU YANLING1, CUI YUELONG1, NIU ZHEN1, GUO JINXIA2, ZHANG SHASHA1, ZHANG JUNLI1, and WANG YONG1 | ||
1Anyang District Hospital, Anyang City, China, 2GE Healthcare, Beijing, China |
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Keywords: Tumors, Cancer This study is to utilize the relaxometry generated by unenhanced and Gd-enhanced synthetic MRI to identify the recurrence and necrosis in patient with high grade glioma after radiotherapy. The results indicated enhanced T1 was significantly shortened in tumor and peripheral edema region for recurrent tissue in compare with necrosis and showed well ability of differentiation |
| 2122 | Computer 128
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Nosological images of brain tumor MV-MRS 3T data based on classifiers trained with SV-MRS 1.5T data, a proof-of-concept |
| Gulnur Semahat Ungan1,2, Albert Pons-Escoda3, Daniel Ulinic2, Carles Arus1,2, Alfredo Vellido1,4, and Margarida Julia-Sape1,2 | ||
1Centro de Investigacion Biomedica en Red (CIBER), Cerdanyola del Valles, Spain, 2Universitat Autonoma de Barcelona, Cerdanyola del Valles, Spain, 3Hospital de Bellvitge, L'Hospitalet del Llobregat, Spain, 4Universitat Politecnica de Catalunya, Barcelona, Spain |
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Keywords: Tumors, Spectroscopy, visualization, data analysis, MRS, brain tumours We used SV-MRS 1.5T data of patients with brain tumors to create colored-classification images of MV-MRS 3T grids of an independent cohort of patients. In 10 out of 15 MV cases the solid tumor region corresponded to the correct class. In the remaining 5 cases, the reasons for (partial) misclassification included heterogeneity and bad spectral quality. |
| 2123 | Computer 129
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Synthesize conventional MRI Sequences by Generative Adversarial Networks with only T2 for Use in a Multisequence gliomas classification Model |
| Diaohan Xiong1, Xinying Ren1, Yujing Li1, Rui Wang1, Kai Ai2, and Jing Zhang1 | ||
1Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Tumors, Machine Learning/Artificial Intelligence The aim of this study was to test deep learning classification models of glioma subtypes using the generated images. GANs were created based on the two frameworks, pix2pix and cycleGAN. The source domain was T2 and the target domain was T1c, T2-FLAIR or ADC. The results demonstrated that the T2 to T1c pix2pix model has the highest PSNR and SSI. When only the T2-flair or T1c sequence is replaced with the generated image, the classification accuracy is same as the original image. Therefore, depending solely on T2 sequences, GANs networks could generate other sequences for Use in gliomas classification Model. |
| 2124 | Computer 130
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Boosting The Deep Learning Performance in Predicting IDH Mutation in Gliomas Using Multiparametric MRI Including SWI, FLAIR and CE-T1WI |
| Sena Azamat1,2, Buse Buz-Yaluğ1, Alpay Ozcan3, Ayça Ersen Danyeli4,5,6, Necmettin Pamir5,7, Alp Dinçer4,8, Koray Ozduman4,7, and Esin Ozturk-Isik1,4 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey, 3Electric and Electronic Engineering Department, Bogazici University, Istanbul, Turkey, 4Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, 5Center for Neuroradiological Applications and Reseach, Acibadem University, Istanbul, Turkey, 6Department of Medical Pathology, Acibadem University, Istanbul, Turkey, 7Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 8Department of Radiology, Acibadem University, Istanbul, Turkey |
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Keywords: Tumors, Machine Learning/Artificial Intelligence Gliomas with IDH mutations tend to have a better prognosis regardless of the histopathological grade. The main aim of this study was to identify isocitrate dehydrogenase (IDH) mutations in glioma patients using deep learning models based on SWI, FLAIR and CE-T1W images separately and together. As a result, a 2D CNN model based on multiparametric MRI resulted in an accuracy of 92.8%, while CNN based on just SWI had 72.2% and CNN based on just FLAIR had 61.1% accuracies for predicting IDH mutation in gliomas. |
| 2125 | Computer 131
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Automatic Segmentation of Vasculature in DCE-MRI of Brain Tumors and its Influence in Grading |
| Anshika Kesari1, Virendra Kumar Yadav1, Raufiya Jafari1, Rakesh Kumar Gupta2, Rana Patir3, Sandeep Vaishya3, Sunita Ahlawat4, and Anup Singh1,5,6 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 3Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India, 4SRL Diagnostics, Fortis Memorial Research Institute, Gurugram, India, 5Yardi School for Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi, India, 6Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India |
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Keywords: Tumors, Brain Quantitative DCE-MRI parameters are sensitive to tumor microvasculature and have shown potential in tumor grading. Generally, value of some of these parameters increases with tumor grades. During analysis of tumor region, large-blood-vessels (LBV) can influence the actual changes due to tumor microvasculature and hence provide erroneous results. Objectives of this study were to develop an automatic framework for segmentation of the LBV present within and outside of the tumor region and to reduce errors in tumor grading. The statistical analysis of parameters in tumor region showed significant differences between with and without LBV. Moreover, LBV removal improved tumor classification accuracy. |
| 2126 | Computer 132
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Histogram model of MRI arteriolar blood volume in detecting subclinical recurrence of high-grade glioma after chemoradiotherapy |
| Yuankui Wu1, Zhousan Huang1, Yingxia Huang1, Mingxi Li1, Haimei Cao1, Guanglong Huang2, Hao Zhang1, and Yikai Xu1 | ||
1Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China, 2Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, China |
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Keywords: Tumors, Perfusion, Inflow-based vascular space occupancy (iVASO) Early detection of disease progression is of important relevance for the management of high-grade glioma (HGG) patients. Related studies showed that perfusion-weighted MR imaging (PWI) has power to detect early recurrence of glioblastoma. Inflow-based vascular space occupancy (iVASO) is a noninvasive perfusion technology that can provide absolute blood volume of precapillary arterioles (arteriolar blood volume, BVa). In this preliminary study, the potential value of BVa in detecting subclinical recurrence of HGG was investigated. The results showed that the histogram features of BVa might have the potential to detect subclinical recurrence. |
| 2127 | Computer 133
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Automated Fiber Quantification Predicts Motor Weakness in Patients Following Resection of Primary and Metastatic Brain Lesions |
| George Russell Glenn1, Sneha Sai Venkata Ka Mannam2, Chibueze Nwagwu3, Subir Goyal4, Gustavo Pradilla2, Edjah Kweku-Ebura Nduom2, Jeffery James Olson 2, David Painton Bray 2, and Hoang Bojanowski Kimberly2 | ||
1Diagnostic Radiology, Emory University, Lilburn, GA, United States, 2Neurosurgery, Emory University, Atlanta, GA, United States, 3College of Medicine, Emory University, Atlanta, GA, United States, 4Biostatistics and Bioinformatics, Emory University, Alanta, GA, United States |
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Keywords: Tumors, Surgery Preoperative diffusion tensor imaging (DTI) data was analyzed using Automated Fiber Quantification (AFQ) along the corticospinal tract (CST) for 58 patients undergoing surgical resection of primary or metastatic brain lesions. For each patient, DTI parameters were analyzed along the ipsilateral CST, the side of the pathological lesion, and the contralateral CST, the side opposite the pathological lesion. Patients were then separated based on the presence or absence of postoperative motor weakness. Patients with post operative motor weakness were found to have significantly different diffusion parameters along their ipsilateral CST compared to the ipsilateral CST of patients without postoperative motor weakness. |
| 2128 | Computer 134
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Multiparametric MRI-based fusion radiomics for preoperatively predicting TERT promoter mutation status and survival in glioblastoma patients |
| Hongbo Zhang1, Hanwen Zhang2, Beibei Zhou3, Yuze Zhang1, Lei Wu1, Yi Lei2, and Biao Huang1 | ||
1Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 2Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China, 3Department of Radiology, Department of Radiology,The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China |
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Keywords: Tumors, Radiomics Radiomics uses computer software to mine massive quantitative image features from medical imaging images and then screens the most valuable radiomics features using statistical and/or machine learning methods. Furthermore, it is used to parse clinical information for disease characterisation, tumour grading and staging, efficacy evaluation, and prognosis prediction. In our study, we demonstrated that multiparametric MRI-based fusion radiomics model is an effective preoperative non-invasive method to predict telomerase reverse transcriptase promoter mutations and progression-free survival in glioblastoma patients. |
| 2129 | Computer 135
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An investigation into the derangement of the linear relationship between 1/T1 and 1/H2O in brain tumours |
| Dennis C. Thomas1,2,3,4, Ralf Deichmann5, Elke Hattingen1,2,3,4, Seyma Alcicek1,2,3,4, Ulrich Pilatus1,2,3,4, and Katharina J. Wenger1,2,3,4 | ||
1Institute of Neuroradiology, University Hospital Frankfurt, Frankfurt, Germany, 2University Cancer Center Frankfurt (UCT), Frankfurt, Frankfurt, Germany, 3Frankfurt Cancer Institute (FCI), Frankfurt, Germany, 4German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany, 55 Brain Imaging Center, Goethe University, Frankfurt, Germany |
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Keywords: Tumors, Brain, Water content mapping, T1 mapping Quantitative MRI was applied to assess T1 and water content (H2O) in brain tumors. 1/T1 and 1/H2O are linearly related in healthy WM and GM. Here, we explore deviations from this linear relationship in the tumor regions in 3 glioblastoma patients. Linear regression between 1/T1 and 1/H2O was performed in the healthy brain in the contralateral hemisphere and the obtained values were used to calculate predicted 1/H2O maps for the whole brain. Difference maps between predicted and true 1/H2O were calculated . Further, the importance of robust bias field correction techniques is demonstrated here by comparing two bias field correction approaches. |
| 2130 | Computer 136
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Attention Deep-Shallow Network (ADSN): A Deep Learning Model for IDH and TERTp Mutation Detection in Gliomas using 1H-MRS |
| Abdullah Bas1, Banu Sacli-Bilmez1, Ayca Ersen Danyeli2,3, Ozge Can2,4, Koray Ozduman2,5, Alp Dincer2,6, and Esin Ozturk-Isik1,2 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, 3Department of Medical Pathology, Acibadem University, Istanbul, Turkey, 4Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey, 5Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 6Department of Radiology, Acıbadem University, Istanbul, Turkey |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Deep Learning Isocitrate dehydrogenase (IDH) and telomerase reverse transcriptase promoter (TERTp) mutations affect the clinical behavior and survival rate of diffuse gliomas. According to the latest WHO 2021 brain tumor classification, IDH mutation is an important factor for grouping adult-type diffuse gliomas. The preoperative detection of these mutations is very critical for treatment planning. In this study, we propose enhanced 1D-CNN models by adding an attention mechanism as a prior network to focus on relevant spectral frequencies of 1H-MRS to identify IDH-mutant (IDH-mut), TERTp-mutant (TERTp-mut), and IDH-wt, TERTp-mut (TERTp-only) gliomas using three binary models |
| 2131 | Computer 137
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Comparative Evaluation of Metabolite Composition in Brain Tumor Epilepsy Patients |
| Natasha Najam1, Steven Tobochnik2, Huijin Liao1, Sanghoon Kim1, Jong Woo Lee2, and Alexander Lin1 | ||
1Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital , Harvard Medical School, Boston, MA, United States, 2Department of Neurology, Brigham and Women's Hospital , Harvard Medical School,, Boston, MA, United States |
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Keywords: Tumors, Spectroscopy, Brain Tumor-Related Epilepsy, Isocitrate Dehydrogenase Mutation Brain Tumor Related Epilepsy (BTRE) is a multi-factorial condition with unclear pathophysiology. It has a robust prevalence in tumor patients with 20-40% experiencing onset seizures and a further 20-45% experiencing refractory seizures to treatment.1 This work examines the tumor microenvironment using magnetic resonance spectroscopy (MRS) to learn more about the epileptogenic mechanisms through a comparison of metabolite composition in BTRE patients and non-seizure tumor patients. Increasing knowledge about the pathophysiology of BTRE might aid the management of anti-tumor and BTRE treatment in the future. |
| 2132 | Computer 138
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Autopsy-based radio-pathomic maps of tumor probability delineate tumor presence within radiological segmentations |
| Samuel A Bobholz1, Allison K Lowman1, Savannah R Duenweg2, Aleksandra Winiarz2, Margaret Stebbins2, Fitzgerald Kyereme1, Jennifer Connelly3, Dylan Coss4, Wade M Mueller5, Mohit Agarwal1, Anjishnu Banerjee6, and Peter S LaViolette1,7 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 5Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 7Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Tumors, Cancer, Machine learning, glioblastoma, radio-pathomics This study applied autopsy-based radio-pathomic maps to the pre-surgical PENN-GBM dataset to test the hypothesis that the predicted tumor composition of the contrast-enhancing and FLAIR-hyperintense regions identify distinct pathological features of glioblastoma. We find that greater predicted tumor within the contrast-enhancing region is indicative of IDH1-wildtype mutation status, and show that larger tumors tend to have less predicted tumor within contrast-enhancement and more tumor within non-enhancing FLAIR hyperintensity. This technique could be used to non-invasively identify more aggressive tumors. |
| 2133 | Computer 139
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Quantitative MRI for radiation oncology patients with head and neck squamous cell carcinoma |
| Bruno Madore1, Jeffrey P. Guenette1, Jonathan D. Schoenfeld1, and Evangelia Kaza1 | ||
1BWH, Harvard Medical School, Boston, MA, United States |
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Keywords: Head & Neck/ENT, Relaxometry, Radiotherapy, treatment, tumor Radiation oncology patients often undergo longitudinal scans to evaluate the effect of treatments on lesions, and to monitor surrounding tissues. We are considering the inclusion of quantitative MRI in current imaging protocols. To this end, we implemented a simple quantitative imaging technique and tested it in a small cohort of five patients. Results captured differences in T1 and T2 between tissues on the treated side vs. the contralateral tissues. Little work has been done so far with MRI relaxometry for monitoring treatment in head and neck squamous cell carcinoma, and this work represents an early step in this direction. |
| 2134 | Computer 140
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Identification of NF2 loss in meningiomas using T2-weighted MRI and Deep Learning |
| Abdullah Bas1, Ayca Ersen Danyeli2,3, Ozge Can2,4, Koray Ozduman2,5, Alp Dincer2,6, and Esin Ozturk-Isik1,2 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Brain Tumor Research Group, Acibadem University, Istanbul, Turkey, 3Department of Medical Pathology, Acibadem University, Istanbul, Turkey, 4Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey, 5Department of Neurosurgery, Acibadem University, Istanbul, Turkey, 6Department of Radiology, Acıbadem University, Istanbul, Turkey |
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Keywords: Tumors, Machine Learning/Artificial Intelligence, Deep Learning NF2-L in meningiomas is a relevant indicator of prognosis. NF2-L is one of the most common genetic mutations in meningiomas. As a result of that situation, developing a non-invasive approach may assist the current clinical procedures. To our knowledge, some studies try to predict NF2-L using MRI modalities but either they use registration or performed using the modalities of MRI that are not in default MRI scanning procedures. Hence, the solutions that they provide are not clinically feasible. In this study, we aim to develop new approaches that are capable to implement directly into clinical procedures.[1] |
| 2274 | Computer 101
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Cerebral perfusion in Parkinson's disease with depression: an arterial spin-labeling magnetic resonance imaging study |
| Xinyang Li1,2, Yaotian Tian1,2, Xiaonan Wang1,2, Josef Pfeuffer3, Bénédicte Maréchal4, Kober Tobias4, Yanglei Wu5, Chunmei Li1, and Min Chen1 | ||
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3Siemens Healthcare GmhH, Erlangen, Germany, 4Siemens Healthineers International AG, Lausanne, Switzerland, 5MR Collaboration, Siemens Healthineers Ltd, Beijing, China |
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Keywords: Parkinson's Disease, Neurodegeneration, Depression Arterial spin labeling-magnetic resonance imaging (ASL-MRI) combined with inline T1-weighted-based brain morphometry was used to evaluate regional cerebral blood flow in this study, which explored alteration of cerebral perfusion in Parkinson’s disease (PD) patients with depression and investigated its underlying neural mechanism. The results showed decreased cerebral perfusion in several brain regions in PD patients compared to healthy controls and a correlation between decreased cerebral perfusion of the right occipital white matter and right cingulate gyrus in PD patients with depression. This finding suggested that hypoperfusion of the limbic system is involved in the pathogenesis of PD with depression. |
| 2275 | Computer 102
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Investigating early-stage parkinsonism using a dedicated MRI protocol and decision tree |
| Samy Abo Seada1, Anke W. van der Eerden1, Agnita J.W. Boon2, and Juan Antonio Hernandez-Tamames1,3 | ||
1Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 2Department of Neurology, Erasmus MC, Rotterdam, Netherlands, 3Department of Imaging Physics, TU Delft, Delft, Netherlands |
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Keywords: Parkinson's Disease, Multi-Contrast A dedicated MRI protocol and decision tree are presented for differentially diagnosing parkinsonisms. Decision rules are based on existing literature which identified biomarkers with a sensitivity and specificity around or above 80%. Initial in-vivo results from patients are presented, and their MRI findings are partially in agreement with existing literature. Our goal is to test our method on patients at an early-stage when their clinical diagnosis is unclear. |
| 2276 | Computer 103
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Resting state functional connectivity alterations in motor networks of Parkinson’s disease in different frequency bands |
| Pengfei Zhang1, Jun Wang1, Laiyang Ma1, Yanli Jiang1, Wanjun Hu1, Guangyao Liu1, Kai Ai2, and Jing Zhang1,3 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China |
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Keywords: Parkinson's Disease, Parkinson's Disease, Motor symptoms, Neural networks The functional alteration of the substantia nigra (SN), basal ganglia (BG), thalamus, and cortex are key hallmarks of Parkinson’s disease (PD) patients. Based on resting state functional magnetic resonance imaging, we investigated the functional connectivity (FC) of “cerebello-SN-BG-thalamo-motor cortical” network in the conventional and slow-4, slow-5 bands. PD patients demonstrated extensive FC decrease at conventional band, including inter-network connections of thalamo-cerebello-BG circuits, and connections between SN-putamen and postcentral gyrus-cerebellum. Slow-4 showed more thalamo-BG changes, while slow-5 specific FC was mainly the "cerebello-SN-BG-thalamo" circuits. The frequency specific alterations in motor related circuits may help in understanding the neuropathological mechanisms of PD. |
| 2277 | Computer 104
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Construction of disease progression prediction model for PD patients based on DTI data |
| Amei Chen1, Junxiang Huang2, Xiaofei Huang1, Xiaofang Cheng3, Yongzhou Xu4, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, Guangzhou, China, 2Guangzhou Women and Children's Medical Center, Guangzhou, China, 3The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, 4Philips Healthcare, Guangzhou, China |
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Keywords: Parkinson's Disease, Machine Learning/Artificial Intelligence, white matter connectivity, DTI, prediction model In this study, the machine learning method was used to establish a prediction model for Parkinson’s disease(PD) progression by using white matter connectivity and clinical information. A total of 123 PD patients were included. White matter network connection analysis and clinical information collection were performed for each patient. The results showed that combined with the white matter connection and clinical features, a good model of PD disease progression was established. White matter network connectivity helps predict PD progression at the individual level. |
| 2278 | Computer 105
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CEST and MISL detect regional neuropathologies in a Parkinson’s disease mouse model at 3T |
| Joseph H. C. Lai1, Jianpan Huang1, Yang Liu1,2, Se Weon Park1,2, Jiadi Xu3, and Kannie W. Y. Chan1,2,3,4,5 | ||
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, Hong Kong, 2Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, Hong Kong, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, 5Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, Hong Kong |
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Keywords: Parkinson's Disease, CEST & MT Reveal alterations in molecules and CSF-tissue water exchange could enable interactive interventions in PD. Here we applied CEST and MISL to study the changes in a PD model at 3T. We observed significant changes (P<0.05) at 2.6ppm on day 28 and at -3.5ppm on day 7, which could indicate a substantial decrease of dopamine and lipid-related pathology at the substantia nigra, respectively. Along the nigrostriatal pathway, we observed a gradual MISL drop at the ventricles, which was significantly lower at day 28 (P<0.05) and might imply the CSF-tissue-related pathologies. Our findings could serve as potential biomarkers for early PD detection. |
| 2279 | Computer 106
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Multimodality Neuroimaging Biomarkers in Parkinson’s Disease |
| Xiaomeng Zhang1, Varsha Mohan1, Dustin Wooten1, Bradley A Hooker1, Yuchuan Zhuang1, Praveen Honhar2, Sophie Holmes2,3, Mika Naganawa2, Mark Dias2, Robert Comley1, Richard E Carson2,4, Sule Tinaz5, David Matuskey2,3,5, Yanping Luo1, and Sjoerd J Finnema1 | ||
1Translational Imaging, Neuroscience, Abbvie, North Chicago, IL, United States, 2PET Center, Yale University, New Haven, CT, United States, 3Department of Psychiatry, Yale University, New Haven, CT, United States, 4Department of Biomedical Engineering, Yale University, New Haven, CT, United States, 5Department of Neurology, Yale University, New Haven, CT, United States |
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Keywords: Parkinson's Disease, Multimodal Neuroimaging is widely used in Parkinson's disease patients to improve diagnosis, provide insights into the natural history of disease, and facilitate the development of new treatments. Different MRI sequences and contrasts have been employed to study structure and function, whilst PET have been used to image receptors, transporters, enzymes and metabolism. In this study we evaluate relationships between pathological and functional markers of neurodegeneration using a range of advanced MRI and PET methods, in the same subjects, cross sectionally and over time. To the best of our knowledge this combination of markers has yet to be reported. |
| 2280 | Computer 107
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Diffusion and structural MRI as potential biomarkers to reflect correlation with plasma biomarkers in nondemented Parkinson’s disease |
| Chih-Chien Tsai1, Chun-Chao Huang2, Pei-Hao Chen3, Hsin-Fan Chiang2, Cheng‑Chih Hsieh2, Ting-Lin Chen2, Wei-Hsin Liao2, Yao-Liang Chen4, and Jiun-Jie Wang5 | ||
1Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan, 2Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan, 3Department of Neurology, MacKay Memorial Hospital, Taipei, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan, 5Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan |
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Keywords: Parkinson's Disease, Diffusion Tensor Imaging Parkinson’s disease (PD) is a progressive neurodegenerative disease with motor dysfunction and cognitive impairments frequently. Previous studies indicated that diffusion MRI could detect white matter alteration in the brain, which can be correlated with disease severity. We use diffusion MRI to investigate the relationship between cognitive functions and these plasma biomarkers. Our study showed that the involved regions might play important roles in early cognitive decline as related to the pathological deposition of the respective plasma biomarkers. This observation might help to elucidate the early pathological change of the brain contributing to different cognitive declines in PD patients. |
| 2281 | Computer 108
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Multiparametric Characterization of Surface-Based Morphological Brain Networks in Middle- to Late-Stage Parkinson's Disease |
| Jun Lu1,2, Su Yan1, Yuanhao Li1, and Wenzhen Zhu1 | ||
1Department of radiology,Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Department of CT & MRI, The First Affiliated Hospital, College of Medicine, Shihezi University, Shihezi, China |
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Keywords: Parkinson's Disease, Microstructure As the structural basis of functional networks, the topological organization of morphological brain networks in the surface space has not been explored in more advanced stages of PD. We constructed individual morphological networks by estimating interregional similarity distribution in different cortical surface-based indices from structural MRI of PD patients and healthy controls (HCs). Graph theoretical analysis was performed to detect PD-related alterations. Compared with HCs, PD patients showed lower local efficiency and clustering coefficient for gyrification index-based morphological brain networks. These findings extend our understanding of the neurobiology of network dysfunction in middle- to late-stage PD. |
| 2282 | Computer 109
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Application of QSM and tSWI in evaluating substantia nigra "swallow tail sign" in the diagnosis of Parkinson's disease |
| Xiao Feng Shi1, You Min Zhang1, Na Ying He1, Zeng Hui Cheng1, Fu Hua Yan1, and Ewart Mark Haacke2 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, shanghai, China, 2SpinTech MRI, Bingham Farms, MI, United States |
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Keywords: Parkinson's Disease, Parkinson's Disease, swallow tail sign,substantia nigra,MRI The incidence of Parkinson's disease（PD） is high and the clinical symptoms are diverse making the diagnosis of PD difficult. Loss of the “swallow tail sign” (STS) as an imaging biomarker in the diagnosis of PD. It is of great value in the early diagnosis of PD and the improvement of prognosis. In this study, QSM and tSWI, were used to evaluate the STS of substantia nigra in PD patients. The results show tSWI can better display STS than QSM and its accuracy is higher. |
| 2283 | Computer 110
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Abnormal intrinsic neural timescale in Parkinson’s disease |
| Yarui Wei1, Chunyan Zhang2, Yuanyuan Peng2, Chen Chen 2, Shaoqiang Han2, Weijian Wang2, Yong Zhang2, Hong Lu3, and Jingliang Cheng2 | ||
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Parkinson's Disease, fMRI (resting state) It’s unclear whether abnormal neural information stored and different temporal feature at different stages in Parkinson’s disease (PD). Here, we estimated the intrinsic timescales using the magnitude of the autocorrelation of intrinsic neural signals by resting state functional magnetic resonance imaging data in 74 PD patients, including 44 patients in the early stage and 30 patients in the late stage. Our findings suggest that PD patients exhibit abnormal intrinsic timescales in visual, sensorimotor, and cognitive systems, and at different stages, distinct patterns of intrinsic timescales in cerebral cortex, which might provide new insights for the neural substrate of PD. |
| 2284 | Computer 111
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Effect of levodopa on brain functional network connectivity in Parkinson’s disease patients with MCI. |
| Karthik R Sreenivasan1, Xiaowei Zhuang1, Jessica Caldwell1, Aaron Ritter2, Dietmar Cordes1, Zoltan Mari1, Natividad Stover3, Talene Yacoubian3, and Virendra Mishra1,4 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Memory & Cognitive Disorders Program Hoag, Pickup Family Neurosciences Institute, Newport Beach, CA, United States, 3Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, United States, 4Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL, United States |
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Keywords: Parkinson's Disease, Brain Connectivity Mild cognitive impairment in PD patients (PD-MCI) is shown to be a risk factor for the development of dementia over time. However, the distinct factors that contribute to conversion from MCI to dementia are not completely understood. While earlier studies have identified altered functional connectivity (FC) it is still not clear whether PD medication affects brain FC. In the current study, we aim to quantify the impact of medication effect on FC in PD-MCI using resting-state functional MRI. Our findings suggest that altered FC was observed between the groups and with respect to the medication state in the PD-MCI group. |
| 2285 | Computer 112
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Estimation of 11C-PE2I PET based cerebral perfusion in Parkinson’s disease patients using quantitative transport mapping network (QTMnet) |
| Qihao Zhang1, Dominick Romano1, Kelly McCabe Gillen2, Carly Skudin2, Shtilbans Alexander3, Thanh Nguyen2, Pascal Spincemaille2, and Yi Wang2 | ||
1Cornell University, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States, 3Hospital for Special Surgery, New York, NY, United States |
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Keywords: Parkinson's Disease, PET/MR 111 |
| 2286 | Computer 113
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Quantitative Susceptibility Mapping in Distinguishing Between Patients with Mild and Moderate Parkinson’s Disease |
| Zhanhao Mo1, Lin Liu1, Lei Zhang1, Runyu Tang2, Yunfei Zhang2, Yongming Dai2, and He Sui1 | ||
1China-Japan Union Hospital of Jilin University, Jilin, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Parkinson's Disease, Quantitative Susceptibility mapping Iron concentrations were associated with many significant pathological processes in the brain. The advent of Quantitative Susceptibility Mapping (QSM) enabled the assessment of magnetic susceptibility in Parkinson’s Disease (PD) brains. Our study revealed that magnetic susceptibilities of regional brain structures varied in mild and moderate PD and we investigated the possibility of early detection of PD using QSM. |
| 2287 | Computer 114
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Histogram analysis of diffusion kurtosis imaging of deep brain nuclei in Parkinson's disease with different motor subtypes |
| Jin Wang1, Qiu Bi2, Linyu Chen1, Shan Li3, Hongjiang Zhang2, Changxin Cheng1, Yunzhu Wu4, and Bo Wang2 | ||
1Medical school, Kunming University of Science and Technology, Kunming, China, 2Department of MRI, the First People’s Hospital of Yunnan Province, Kunming, China, 3Department of Neurology, the First People’s Hospital of Yunnan Province, Kunming, China, 4MR Scientific Marketing, Siemens Healthineers Ltd., Kunming, China |
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Keywords: Parkinson's Disease, Gray Matter Parkinson's disease (PD) has significant clinical heterogeneity. According to its motor symptoms, PD could be divided into two principal clinical subtypes: tremor-dominant (TD) and postural instability and gait disorder (PIGD). Identifying clinical subtypes of PD could serve to better understand the underlying disease mechanisms, predict progression, and guide treatment. In this study, diffusion kurtosis imaging (DKI) combined with histogram analysis were used to evaluate the microstructural changes of the deep brain gray matter nuclei in PD patients. And it demonstrated that DKI histogram analysis was useful to diagnose and discriminate different motor subtypes of PD. |
| 2288 | Computer 115
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Disrupted Brain Structural Network Connection in de novo Parkinson’s Disease with Rapid Eye Movement Sleep Behavior Disorder |
| Amei Chen1, Junxiang Huang2, Xiaofei Huang1, Xiaofang Cheng3, Yongzhou Xu 4, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, Guangzhou, China, 2Guangzhou Women and Children's Medical Center, Guangzhou, China, 3The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, 4Philips Healthcare, Guangzhou, China |
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Keywords: Parkinson's Disease, White Matter, White matter connectivity, rapid movement sleep behavior disorder To investigate the changes of white matter structural network connectivity in PD patients with probably rapid movement sleep behavior disorder (PD-pRBD). This study included PD-pRBD (n = 74) and PD with no probably RBD (PD-npRBD)(n = 97) and healthy contral (HC, n=73). The results showed that compared with the PD-npRBD group, the nodal efficiency (Ne) of the right insula and left middle frontal gyrus increased, while the Ne of the left temporal pole decreased. We conclude that changes in the right insula, left temporal pole and left middle frontal gyrus Ne may play key roles in the pathogenesis of PD-RBD. |
| 2289 | Computer 116
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Using R2* map to evaluate the changes of deep brain nuclei in patients with Parkinson 's disease |
| Man Wang1,2, Bingbing Gao1, Yanwei Miao1, and Dandan Zheng3 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Clinical and Technical Support, Philips Healthcare, Beijing, Beijing, China |
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Keywords: Parkinson's Disease, Relaxometry, R2*,deep brain nuclei R2* is highly sensitive not only to tissue iron level, but also to the microscopic iron distribution. In this study, we first characterize the distribution of R2* within the deep brain nuclei in Parkinson's disease patients and health controls, especially the lateral difference. Secondly, we also evaluate the clinical usefulness of regional R2* for the differential diagnosis between PD and HC group. The results showed that there was no lateral difference in R2* values in the HC and PD groups. The R2* value of the right thalamus in the HC group was statistically higher than that in the PD group. |
| 2290 | Computer 117
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Alterations of T1 and proton density values of deep brain nuclei based on synthetic MRI in Parkinson’s disease patients |
| Jinghan Zhao1, Yinghua Guo2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical&Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Parkinson's Disease, Parkinson's Disease The objective of this study was to explore whether the alterations of T1 and proton density values could reflect the occurrence of Parkinson's disease (PD) and contribute to the prevention and diagnosis of PD. The T1 values of the left caudate nucleus (CN) and the proton density values of all nuclei were significantly reduced in the PD group compared with the control group. The T1 values of the left globus pallidus (GP) and right thalamus (THU) in the PD group were significantly reduced compared with those of the contralateral side. |
| 2291 | Computer 118
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Diffuse destruction of white matter myelin sheath integrity associated with cognitive impairment of long-term Parkinson’s disease patients |
| Bingbing Gao1, Liangjie Lin2, and Yanwei Miao1 | ||
1the First Affiliated hospital of Dalian Medical university, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Parkinson's Disease, Dementia The incidence of Parkinson's disease patients combined with dementia increased significantly with the extension of disease course, and increased from 26.3% to 83% at twenty years after diagnosis. This study aims to use diffusion tensor imaging to detect the pattern of white matter damage in long-term PD patients with cognitive impairment, and results indicated that PD patients have diffuse FA decrease of white matter that is correlated with cognitive status. |
| 2292 | Computer 119
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Diagnostic efficacy of combined fractional anisotropy (FA) and mean kurtosis (MK) in detecting the Parkinson disease (PD) model rat |
| Yanchao Dong1, Yansheng Chen2, and Lanxiang Liu2 | ||
1Qinhuangdao Municipal No.1 Hospital, Qinhuandao, China, 2Qinhuangdao Municipal No.1 Hospital, Qinhuangdao, China |
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Keywords: Parkinson's Disease, Parkinson's Disease, DKI Both FA and MK in DKI have value in the diagnosis of PD. We here investigated the sensitivity and specificity of FA and MK in the early diagnosis of PD rat model. PD and control group, 20 in each group. The FA, MK and FA+MK in PD group were statistically significantly different from that of the control group (P < 0.01). The Youden’s index of FA+MK value was higher than the two alone. The optimal cut-off FA+MK value was 1.404. The diagnostic efficiency of the FA+MK values were better relative to that two alone in diagnosing PD. |
| 2293 | Computer 120
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Abnormalities of Grey Matter Volume in Parkinson’s Disease with Depression: A Voxel-Based Morphometry Study |
| Jiajun Cao1, Mingrui Qu1, Bingbing Gao1, Yuhan Jiang1, Yangyingqiu Liu1, Lizhi Xie2, and Yanwei Miao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Beijing, China |
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Keywords: Parkinson's Disease, Parkinson's Disease, Voxel-Based Morphometry、Parkinson's disease with depression Depressive symptoms are common in Parkinson’s disease (PD), but the pathophysiology and neural basis underlying depression in PD is complex. To shed more light on the abnormal regions and distribution characteristics of gray matter in PD patients with depression (DPD), we conducted a Voxel-Based Morphometry (VBM) study. Compared with PD with non-depression (NDPD) patients, the gray matter volume of DPD patients decreased abnormally in the right superior temporal gyrus, right inferior temporal gyrus, left orbital superior frontal gyrus and left dorsolateral superior frontal gyrus. We speculate that changes in the brain regions are essential in the pathophysiology of DPD. |
| 2294 | Computer 121
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Dobutamine-induced Stress Altered Cerebral Blood Flow in Healthy Adults: a 3D Pseudocontinuous Arterial Spin Labeling Study |
| Pengling Ren1, Tingting zhang1, Haijun Niu2, Yawen Liu2, Linkun Cai2, erwei zhao3, Yishi Wang4, Yi Zhu4, Dong Liu1, Min Li1, Wenjuan Liu1, Penggang Qiao1, Wei Zheng3, Zhenghan Yang1, and Zhenchang Wang1 | ||
1Beijing Friendship Hospital, Capital Medical University, Beijing, China, 2School of Biological Science and Medical Engineering, Beihang University, Beijing, China, 3National Space Science Center, Chinese Academy of Sciences, Beijing, China, 4Philips Healthcare, Beijing, China |
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Keywords: Blood vessels, Arterial spin labelling, Dobutamine Stress It is not fully known whether dobutamine commonly clinically used in echocardiography and short-term treatment of congestive heart failure has effect on brain microcirculatory behavior. In this study, we sought to investigate the effect of dobutamine on cerebral haemodynamics in healthy volunteers. The results showed that dobutamine-induced stress significantly decreased the CBF in the anterior circulation, mainly in frontal lobe. Furthermore, volunteers with high BMI, large BA diameter and low SBP during dobutamine stress test are more likely to have stress-induced decrease of CBF. |
| 2295 | Computer 122
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Real-time phase contrast sequences versus conventional phase contrast sequences in cerebral blood flow quantification: an in vivo study |
| Pan LIU1,2, Heimiri Monnier1, Kimi Piedad Owashi1, Serge Metanbou3, Cyrille Capel4, and Olivier Balédent1,2 | ||
1CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France, 2Medical Image Processing Department, Amiens Picardy University Hospital, Amiens, France, 3Radiology Department, Amiens Picardy University Hospital, Amiens, France, 4Neurosurgery Department, Amiens Picardy University Hospital, Amiens, France |
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Keywords: Blood vessels, Velocity & Flow, real time phase contrast, phase contrast, cerebral blood flow Real-time phase contrast sequences (RT-PC) appear to have great potential in clinical applications. However, it is important to validate RT-PC in the quantification of cerebral blood flow prior to its use in clinical applications. In this study, we analyzed RT-PC accuracy by comparing the segmentation area, flow rate and pulsatility index of cerebral vessels obtained from RT-PC and conventional phase contrast sequences. RT-PC with 2×2 mm2 spatial resolution and 75ms/image temporal resolution can accurately quantify cerebral blood flow rate with an error of less than 3%. Higher temporal resolution in RT-PC could improve accuracy in cerebral arterial flow quantification. |
| 2296 | Computer 123
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Effects of high-grade asymptomatic carotid artery stenosis on grey and white matter structure |
| Lena Schmitzer1, Stephan Kaczmarz1,2, Jens Göttler1, Michael Kallmayer3, Hans-Henning Eckstein3, Dennis Hedderich1, Jan Kufer1, Claus Zimmer1, Christine Preibisch1,4, and Nico Sollmann1,5 | ||
1Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Department for Vascular and Endovascular Surgery, School of Medicine, Technical University of Munich, Munich, Germany, 4Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany, 5Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany |
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Keywords: Blood vessels, Diffusion/other diffusion imaging techniques Internal carotid artery stenosis (ICAS) is a known risk factor for stroke, additionally affecting brain structure and function. We investigated ICAS effects on white and grey matter structure using diffusion tensor imaging (DTI) and cortical thickness assessment, revealing alterations in various indices focused on the corpus callosum without signs of atrophy in grey matter. In addition, small vessel disease (SVD) burden, assessed by peak width of skeletonized mean diffusivity (PSMD), was increased in ICAS patients. Taken together, the structural alterations in white matter might precede those in grey matter, supporting the relevance of assessment of microstructure to detect early changes. |
| 2297 | Computer 124
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Comparison of Arterial Pulsatility of Cerebral Perforating Arteries between Dual-VENC and Single-VENC Phase-Contrast MRI at 7T |
| Jianing Tang1,2, Elizabeth Joe3, Helena Chui3, and Lirong Yan2,3 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Evanston, IL, United States, 3Department of Neurology, University of Southern California, Los Angeles, CA, United States |
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Keywords: Blood vessels, High-Field MRI Dysfunction of cerebral perforating arteries is a major pathology of small vessel disease. Previous study has demonstrated the pulsatility of cerebral perforating arteries can be measured by 7T high-resolution PC-MRI. In this study, we systematically compared the performance of PC-MRI with single and dual-VENC on pulsatility index (PI) measurements of cerebral perforating arteries. Our results showed that dual-VENC provides more reliable PI measurements than single VENC. PI measurements were insensitive to the temporal resolution of PC-MRI acquisition but showed greater variations with single VENC. The pilot study suggests that PI of cerebral perforating arteries was significantly higher in aged participants. |
| 2298 | Computer 125
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Construction of a contrast enhancement map of intracranial vessel wall MRI with 3D volume rendering |
| Yin Guo1, Xin Wang2, Gador Canton2, Duygu Baylam Geleri 2, Kaiyu Zhang2, Niranjan Balu2, Thomas S. Hatsukami2, Mahmud Mossa-Basha2,3, and Chun Yuan2,4 | ||
1Bioengineering, University of Washington, Seattle, WA, United States, 2University of Washington, Seattle, WA, United States, 3University of North Carolina, Chapel Hill, NC, United States, 4University of Utah, Salt Lake City, UT, United States |
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Keywords: Vessel Wall, Atherosclerosis Contrast enhancement (CE), by the administration of gadolinium, has been shown as an important intracranial vessel wall MRI biomarker. In this study we have developed a CE map with 3D volume rendering, extended from a previously developed intracranial atherosclerosis analysis pipeline MOCHA. 3D CE map can help clinicians easily identify plaque contrast enhancement. It demonstrates CE’s spatial location relative to the vessel and provides reliable quantification of its intensity. It is a promising tool for future longitudinal studies to focus on the association between 3D CE map features and disease development. |
| 2299 | Computer 126
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The relationship between unruptured intracranial aneurysm morphology and hemodynamics - 7T 4D flow MRI |
| Rick J van Tuijl1, Kimberley M Timmins1, Birgitta K Velthuis1, Pim van Ooij2, Jaco J M Zwanenburg1, Ynte M Ruigrok3, and Irene C van der Schaaf1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Pediatric Cardiology, UMC Utrecht, Utrecht, Netherlands, 3Neurology, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Blood vessels, Velocity & Flow, High-Field MRI, Aneurysm We investigated relationships between unruptured intracranial aneurysm (UIA) morphology and hemodynamics parameters measured with 7T 4D flow imaging in 35 patients with an UIA. Blood flow measured in the UIA was positively correlated with UIA size, and negatively correlated with elongation and shape index of UIA (a decrease in shape index is characteristic for unstable UIA (either growing or rupture)). Therefore, blood flow is an important parameter for risk evaluation of UIA. The described relations help toobtain better insight in risk parameters of UIA development, growth, and possible rupture. |
| 2300 | Computer 127
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Alterations of cerebrovascular reactivity and morphologies in de novo Parkinson's disease |
| Hongwei Li1, Xiali Shao2, Bingyi Wang1, Jian Wang2,3, Jia Jia4, Zhensen Chen1,5, He Wang1,5,6, and Lirong Jin4 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, China, 4Department of Neurology, Zhongshan Hospital, Fudan Universit, Shanghai, China, 5Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China, 6Human Phenome Institute, Fudan University, Shanghai, China |
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Keywords: Blood vessels, Brain Increasing evidence showed that vascular changes might be involved in Parkinson's disease. However, the altered markers of neurovascular unit and cerebral vessels that serve as blood flow adaptors, remain unclear in early stage of de novo PD. In this study, we aimed to investigate regional cerebral blood flow (CBF), cerebrovascular reactivity (CVR) and artery morphological changes in de novo PD patients including cognitive impairment (PD-MCI) and normal cognition (PD-NC). Our data revealed that in the patient group, CVR was significantly reduced in left superior occipital gyrus, whose feeding arteries were dilated, but there was no significant change in CBF. |
| 2301 | Computer 128
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Altered amide proton transfer weighted signal in different Suzuki grading and preinfarction period stages in patients with moyamoya disease |
| Chao Xia1,2, Jiaxin Zeng1,2, Ziyu Li1,2, Xia Wei1,2, Xing Li1,2, Yuan Sun1,2, Na Hu1,2, Yi Liu3, Kai Ai4, and Su Lui1,2 | ||
1Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Chengdu, China, 2Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, 3Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China, 4Philips Healthcare, Xi'an, China |
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Keywords: Blood vessels, Vessels, moyamoya disease, amide proton transfer To explore the alteration of amide proton transfer weighted (APTw) signal in different Suzuki stages and preinfarction period stages in patients with moyamoya disease (MMD), we enrolled 24 patients who underwent computed tomography perfusion (CTP), digital subtraction angiography (DSA), and APTw imaging. Although our results demonstrated that APTw values in the cerebral hemispheres of MMD patients with Suzuki stages V-VI and preinfarction period stage III are significantly higher than those in other stages, suggesting that the microenvironment of cerebral hemispheres in MMD patients with different Suzuki stages and preinfarction period stages suffers different severity of acidosis penumbra. |
| 2302 | Computer 129
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Correlation of volume transfer constant measured from WEPCAST and DCE-MRI: A pilot study |
| Dinil Sasi Sankaralayam1, Wen Shi1, Zixuan Lin2, Anna DuVal3, Kaisha Hazel1, Katie Ecoff3, Dengrong Jiang2, Shiv Saidha3, and Hanzhang Lu1 | ||
1Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Johns Hopkins University, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University, Baltimore, MD, United States |
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Keywords: Blood vessels, Contrast Agent There is an unmet need of a non-invasive technique to compute the water exchange between vascular and extra-vascular space in the brain since blood brain barrier (BBB) disruption is common in many pathologies and the state of art exogenous contrast agent based method cann’t be applied to all clinical population. So, the current study is aimed at computing a volume transfer constant (Ktrans) from water-extraction-with-phase-contrast-arterial-spin-labelling (WEPCAST) method and to compare it with the global Ktrans from DCE-MRI data. Results of the study finds a good correlation between Ktrans computed from WEPCAST and DCE-MRI data. |
| 2303 | Computer 130
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Magnetic resonance imaging of ultrasound-induced strain fields for discrimination of solid and liquid phases |
| Ryan Willoughby1, Henrik Odéen2, Jesse Jones3, and Mark Bolding4 | ||
1Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States, 2Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 3Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States, 4Radiology, University of Alabama at Birmingham, Birmingham, AL, United States |
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Keywords: Blood vessels, Focused Ultrasound Focused ultrasound (FUS) has gained clinical utility as a non-invasive treatment option, but applications to diseases affecting blood vessels in the brain are just now being investigated. MR acoustic radiation force imaging (MR-ARFI) of FUS-induced displacement and strain fields were evaluated along with diffusion imaging as a method of differentiating solid and liquid material inside a tissue-mimicking gelatin phantom. Apparent diffusion coefficient (ADC) performed best as a solid-liquid classifier, and axial displacement performed worst. Normal and shear strain components performed better than displacement measurements alone. |
| 2304 | Computer 131
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Vascular architecture mapping reveals distinct microvascular profiles in healthy grey and white matter |
| Anja Hohmann1, Ke Zhang2, Christoph Mooshage3, Johann Jende3, Lukas Rotkopf4, Heinz-Peter Schlemmer4, Martin Bendszus3, Wolfgang Wick1,4, and Felix T. Kurz3,4 | ||
1Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany, 2Department of Radiology, Heidelberg University Hospital, Heidelberg, Germany, 3Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 4German Cancer Research Center, Heidelberg, Germany |
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Keywords: Blood vessels, Quantitative Imaging Vessel architecture mapping (VAM) is a quantitative MR imaging technique based on dynamic changes in gradient-echo (R2*) and spin-echo (R2) relaxation rates during contrast agent administration, that can characterize cerebral blood vessel microstructure and their changes in vivo. We aimed to establish VAM parameter reference ranges in healthy brain tissue by scanning n=135 patients with whole-brain high resolution VAM at 3.0 Tesla MRI. Subsequent analysis revealed distinct microvascular profiles for cortical gray matter, supratentorial white matter and examined subcortical nuclei. These reference values may serve as a starting point for future VAM studies on cerebrovascular pathologies. |
| 2305 | Computer 132
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Voxel-wise Parametric Mapping of Cerebrovascular Hemodynamics using 4D Flow MRI: A Scan-Rescan Reproducibility Study at 3T |
| Jackson E Moore1, Deima Koko1, Adam Richter1, Ann Ragin1, Fan Caprio2, Sameer A Ansari1, Susanne Schnell1,3, Michael Markl1, and Kelly Jarvis1 | ||
1Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Department of Medical Physics, University of Greifswald, Greifswald, Germany |
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Keywords: Blood vessels, Velocity & Flow Cerebrovascular dual-venc 4D flow MRI enables measurement of global and local intracranial 3D hemodynamics with full volumetric coverage of the circle of Willis. Hemodynamic analysis was completed using a semi-automated voxel-wise parametric mapping tool, enabling assessment of velocity-based parameters, including mean velocity, peak velocity, kinetic energy and time-to-peak velocity. The workflow reproducibility was evaluated with scan-rescan analysis for 10 subjects who underwent two MRI scans within 30 days. Global circle of Willis and hemispheric analysis regions showed good to excellent reproducibility for all parameters except for time-to-peak velocity. Regional analysis showed better reproducibility for parameters derived from systolic cardiac timepoints. |
| 2306 | Computer 133
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Improved visualization of T1-weighted carotid artery plaque imaging using time-efficient spiral spin-echo DIXON with Compressed SENSE |
| Masahiro Enzaki1, Minako Azuma2, Yoshihito Kadota2, Tenma Takahashi1, Masami Yoneyama3, Hiroshi Hamano3, and Masanori Komi1 | ||
1Division of Radiology, Miyazaki University Hospital, Miyazaki, Japan, 2Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan, 3Philips Japan, Tokyo, Japan |
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Keywords: Blood vessels, Vessels In MR carotid plaque imaging, black-blood imaging can diagnose plaque components and predict plaque hardness with a high degree of accuracy. In this study, we proposed T1-weighted black-blood carotid plaque images using non-ECG gated time-efficient Spiral spin-echo (SE) with Compressed SENSE (CS-Spiral SE) and compared with conventional ECG-gated DIR-TSE. We have demonstrated that the non-gated CS-Spiral SE could provide improved visualization in carotid plaque imaging with superior contrast to DIR-TSE with sufficient fat and blood signal suppression within a shorter scan time. It has a great potential to help more accurate assessment and characterization of the carotid atherosclerotic plaque. |
| 2307 | Computer 134
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Hormone-driven CBF and AAT changes across the menstrual cycle |
| Melissa Emily Wright1, Andrew Crofts1, Saajan Davies1, Michael Germuska1, Jessica J Steventon2, and Kevin Murphy1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Medicine, Cardiff University, Cardiff, United Kingdom |
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Keywords: Blood vessels, Arterial spin labelling The current study investigated the influence of progesterone and oestrogen on cerebral blood flow (CBF) and arterial arrival time (AAT) across a menstrual cycle and multiple cortical and subcortical regions. 21 healthy female participants were scanned in a Siemens MAGNETOM Prisma 3T scanner and their bloods were taken to measure circulating hormones. Linear models found that while there was no interactive effect with region for either hormone, circulating oestrogen explained a significant portion of CBF value, while progesterone explained a significant portion of AAT value. Recommendations for future research are discussed. |
| 2308 | Computer 135
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MRI derived pulse wave indexes of the middle cerebral arteries |
| Henning U. Voss1,2, Liangdong Zhou2, and Yi Li2 | ||
1Cornell University, Ithaca, NY, United States, 2Weill Cornell Medicine, New York, NY, United States |
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Keywords: Blood vessels, Vessels, Pulsatility, Pulse waves The pulse pressure wave has been used as a marker for cardiovascular health but cannot be measured easily within the brain. We have developed an MRI protocol to image, track, and process intracranial pulse waves of the middle cerebral artery. The protocol allows for the estimation of pulsatility along the MCA and extends the estimation of standard pulse waveform indexes that are normally being used in the periphery to the brain. The reliability and reproducibility of this protocol is being tested on normal subjects and subjects with mild cognitive impairment.
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| 2309 | Computer 136
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Intracranial arterial pulsatility assessed by 4D-flow imaging is associated with white matter degeneration |
| Linyun Xie1, Yao Zhang2, Hui Hong1, Shan Xu1, Lei Cui2, Luwei Hong2, Jixuan Li2, and Peiyu Huang1 | ||
1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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Keywords: Blood vessels, Velocity & Flow, Pulsatility We investigate the association between the intracranial pulsatility assessed by 4D-flow imaging and white matter degeneration in a community cohort. White matter free water and tissue fractional anisotropy were used to reflect white matter degeneration. We found that the intracranial arterial pulsatility in different vessel segments was positively associated with increased free water, and negatively associated with tissue fractional anisotropy. After adjusting for age and vascular risk factors, the associations disappeared. Further investigations in larger samples are warranted. |
| 2310 | Computer 137
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Assessing Ranges of Cerebral Blood Flow Velocity and Vessel Area with Phase Contrast in Children and Adults |
| Eamon Doyle1,2, Hannah Wiseman3, Isabel Torres3, Payal Shah4, John Wood2,5, and Matthew Borzage2,6 | ||
1Radiology, Children's Hospital of Los Angeles, Los Angeles, CA, United States, 2Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 3Children's Hospital of Los Angeles, Los Angeles, CA, United States, 4Children's Hospital of Los Angeles, Los, CA, United States, 5Division of Cardiology, Children's Hospital of Los Angeles, Los Angeles, CA, United States, 6Pediatrics, Children's Hospital of Los Angeles, Los Angeles, CA, United States |
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Keywords: Blood vessels, Blood, flow Measuring brain blood flow is possible with phase contrast (PC) imaging. We assessed blood flow through and area of internal carotid and vertebral arteries in pediatric and adult populations. Sequences parameters are suggested based upon the findings to facilitate PC acquisitions at other institutions. |
| 2311 | Computer 138
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Regional coupling of macrovascular flow velocity and cerebrovascular reactivity amplitude and delay in healthy adolescents |
| Kristina M Zvolanek1,2, Jackson E Moore2,3, Kelly Jarvis3, Adam Richter3, Sarah J Moum3,4, and Molly G Bright1,2 | ||
1Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, United States, 3Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 4Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States |
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Keywords: Blood vessels, Velocity & Flow, 4D flow In a preliminary sample of healthy adolescents, we evaluated the relationship between hemodynamic function in large cerebral arteries and smaller cortical vessels. Specifically, we investigated correlations between 4D flow MRI-derived systolic blood velocity in the anterior, middle, and posterior cerebral arteries and BOLD cerebrovascular reactivity (CVR) in associated vascular territories. Both the amplitude and delay of CVR were negatively correlated with systolic velocity. These results provide new insights into the mechanism of CVR and measures of macrovascular flow, but more work is needed to better understand these relationships. Our work establishes important normative data for future comparisons in cerebrovascular pathology. |
| 2312 | Computer 139
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Cerebrovascular Peak-Velocity Mapping in Intracranial Atherosclerotic Disease (ICAD) using 4D Flow MRI |
| Jackson E Moore1, Deima Koko1, Kelly Jarvis1, Abhinav Patel1, Adam Richter1, Ramez Abdalla1, Maria Aristova1, Ann Ragin1, Fan Caprio2, Sameer A Ansari1, Susanne Schnell1,3, and Michael Markl4 | ||
1Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 2Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Department of Medical Physics, University of Greifswald, Greifswald, Germany, 4Radiology, Northwestern University, Chicago, IL, United States |
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Keywords: Blood vessels, Atherosclerosis Intracranial atherosclerotic disease (ICAD) accounts for 10-50% of acute ischemic strokes and is a leading cause of global morbidity and mortality. We used a semi-automated voxel-wise velocity-based mapping approach to visualize and quantify global and regional peak velocities (PVs) in the Circle of Willis (CoW) in 31 ICAD patients with moderate to severe MCA or ICA stenosis and 23 healthy controls. Our findings indicate 4D flow MRI-based cerebrovascular PV mapping can detect asymmetric PV distribution in the CoW on hemispheric and vessel levels. Future work will include investigation of PV asymmetry measures in the assessment of ICAD progression and outcomes. |
| 2313 | Computer 140
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Development of quantitative vessel analysis platform based on MR angiography to assess reversible cerebral vasoconstriction syndrome |
| Pei-Hsuan Kuo1, Shuu-Jiun Wang2,3,4, Jiing-Feng Lirng2,5, Shih-Pin Chen2,3,4, Chia-Hung Wu2,5, Yu Kuo2,5, and Chia-Feng Lu1 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 4Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, 5Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan |
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Keywords: Blood vessels, Visualization Reversible cerebral vasoconstriction syndrome (RCVS) shows reversible diffuse constriction of the cerebral arteries. Previous studies proposed manual measurement of vasoconstriction. However, the stenosis estimated by comparing the stenosed with proximally normal diameter might result in an underestimate of vasoconstriction for the long-segmental stenosis. Accordingly, we developed a quantitative vessel analysis platform to measure the vasoconstriction rate by comparing vessel diameters between acute and remission MR angiography. Our platform provided objective measures of vasoconstriction and further confirmed that acute RCVS presented not only local vasoconstriction but a large portion of short- and long-segmental vasoconstriction in all artery segments. |
| 2314 | Computer 141
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Characterizing Quantitative Magnetization Transfer Maps from an MR-Linac in Regions of Progression in Biopsy-Only Glioblastoma |
| Rachel W Chan1, Liam SP Lawrence2, Hany Soliman3, Mark Ruschin4, James Stewart4, Aimee Theriault4, Chia-Lin Tseng5, Sten Myrehaug3, Jay Detsky4, Pejman J Maralani6, Hanbo Chen4, Brandon Tran2, Mary Jane Lim-Fat7, Sunit Das8, Greg J Stanisz1,2,9, Arjun Sahgal4, and Angus Z Lau1 | ||
1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Department of Radiation Oncolog, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 7Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada, 8Department of Surgery, St. Michael’s Hospital, Toronto, ON, Canada, 9Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland |
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Keywords: Tumors, CEST & MT, Radiotherapy In biopsy-only glioblastoma patients scanned and treated on a 1.5T MR-Linac, this study quantifies the relationship between the quantitative magnetization transfer (qMT) semi-solid fraction and enhancing regions seen on post-contrast T1-weighted imaging on follow-up MRI scans. Metrics were computed to assess the spatial overlap between low semi-solid fraction regions and enhancing regions. In certain patients, the low semi-solid fraction region at the time of treatment correlated with enhancing region at follow up imaging. Our results suggest reduced semi-solid fraction values precede tumour progression, which could be used for guiding dose adaptation in radiation therapy. |
| 2315 | Computer 142
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Relationship between electric conductivity, water content, and protein content in brain tumors |
| Ulrich Katscher1 and Khin Khin Tha2 | ||
1Philips Research Europe, Hamburg, Germany, 2Hokkaido University, Sapporo, Japan |
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Keywords: Tumors, Brain Strong mutual relation is observed between tissue electrical conductivity, water content, and sodium concentration. However, it was recently reported that the relation between conductivity and water content might hold only for healthy tissue but be violated in tumors. It was furthermore reported that water content relates only to free sodium, while conductivity additionally relates also to sodium bound to proteins. A discrepancy between water content and conductivity might thus indicate protein concentration. The current study confirms this hypothesis by comparing the discrepancy between water content and conductivity with Amide Proton Transfer imaging as a marker of protein concentration. |
| 2316 | Computer 143
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Functional mapping in gliomas: a comparison between presurgical resting-state fMRI and intraoperative Direct Electrical Stimulation |
| Manuela Moretto1, Beatrice Federica Luciani1, Francesca Saviola1, Stefano Tambalo1, Luca Zigiotto2,3, Donna Gift Cabalo1,4, Luciano Annicchiarico2,3, Martina Venturini2,3, Silvio Sarubbo2,3, and Jorge Jovicich1 | ||
1Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy, 2Department of Neuroscience, Division of Neurosurgery, S.Chiara Hospital, APSS Trento, Trento, Italy, 3Structural and Functional Connectivity Lab, S.Chiara Hospital, APSS Trento, Trento, Italy, 4Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada |
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Keywords: Tumors, fMRI (resting state), Brain Connectivity Resting-state functional MRI (rs-fMRI) has been proposed as a non-invasive technique for the presurgical mapping of functional networks, in contrast to intraoperative Direct Electrical Stimulation (DES) mapping. While previous studies have investigated the agreement between a predefined DES atlas and resting-state networks in low-grade glioma patients, here we exploit patient-specific DES points and the ReStNeuMap tool to investigate the agreement between sensorimotor, language and speech-articulation networks in a cohort of high- and low-grade glioma patients. We found a good overlap between ReStNeuMap-derived networks and DES points, while low spatial similarity between networks and functional connectivity maps derived from DES. |
| 2317 | Computer 144
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A robust MRSI protocol to investigate glutamatergic mechanisms in glioma |
| Seyma Alcicek1,2,3,4, Michael W. Ronellenfitsch2,3,4,5, Dennis C. Thomas1,2,3,4, Joachim P. Steinbach2,3,4,5, Vincent Prinz6, Marie-Thérèse Forster6, Elke Hattingen1,2,3,4, Ulrich Pilatus1,2,3,4, and Katharina J. Wenger1,2,3,4 | ||
1Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany, 2University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany, 3Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany, 4German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Frankfurt am Main, Germany, 5Dr. Senckenberg Institute of Neurooncology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany, 6Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany |
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Keywords: Tumors, Spectroscopy Glutamate metabolism plays a significant role in glioma invasion and growth and may lead to glioma-associated epileptic discharges and excitotoxicity. In in vivo MR spectroscopy, the molecular similarity of glutamate and glutamine results in overlapped, hence indistinguishable, spectral peaks and hinders their quantification. Here, we propose the use of J-modulation at optimum echo time for accurate and separate quantification of glutamate and glutamine. To study the reproducibility of this approach, in vivo MRSI sLASER measurement at 120 ms echo time was evaluated in three healthy subjects in two separate sessions, and the findings are reported. |
| 2318 | Computer 145
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Differentiation of tumor-infiltrated edema and pure vasogenic edema in patients with brain tumors by using a fractional order calculus model |
| Qinyuan Zhang1, Jianing Li1, Yun Su1, Zhuoheng Yan1, Zhixuan Hu1, Weike Zeng1, Mengzhu Wang2, Xu Yan2, Jiaji Mao1, and Jun Shen1 | ||
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd, Guangzhou, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques A fractional order calculus model (FROC) holds promise in differentiating tumor-infiltrated edema from pure vasogenic edema of brain tumors. This study used a q-space Cartesian grid sampling scheme, diffusion spectrum imaging, in patients with high-grade gliomas, meningiomas and brain metastases to generate FROC-based parameters, including D, β and μ. The μ showed the best individual parameter performance in differentiating tumor-infiltrated edema from pure vasogenic edema. |
| 2319 | Computer 146
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Correlation of T1- to T2-weighted signal intensity ratio with T1- and T2-relaxation time and IDH mutation status in glioma |
| Takahiro Sanada1, Shota Yamamoto1,2, Mio Sakai3, Toru Umehara2,4, Hirotaka Sato1,5, Masato Saito1, Nobuyuki Mitsui1, Satoru Hiroshima1, Ryogo Anei6, Yonehiro Kanemura7, Mishie Tanino8, Katsuyuki Nakanishi3, Haruhiko Kishima2, and Manabu Kinoshita1,9 | ||
1Neurosurgery, Asahikawa Medical University, Asahikawa, Japan, 2Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan, 3Diagnostic Radiology, Osaka International Cancer Institute, Osaka, Japan, 4Neurosurgery, Hanwa Memorial Hospital, Osaka, Japan, 5Neurosurgery, Japanese Red Cross Kitami Hospital, Kitami, Japan, 6Neurosugery, Moriyama Hospital, Asahikawa, Japan, 7Biomedical Research and Innovation, Institute for Clinical Research, National Hospital Organization Osaka National Hospital, Osaka, Japan, 8Diagnostic Pathology, Asahikawa Medical University, Asahikawa, Japan, 9Neurosugery, Osaka International Cancer Institute, Osaka, Japan |
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Keywords: Tumors, Radiomics The current study aimed to test whether the ratio of T1-weighted to T2-weighted signal intensity (rT1/T2) derived from conventional MRI could act as a surrogate relaxation time predictive of IDH mutation status in histologically lower-grade gliomas. The findings showed that rT1/T2 strongly correlates with T1- and T2-relaxation times in histologically LrGGs. The mean value of rT1/T2 was able to discriminate IDHwt and IDHmt tumors in two domestic cohorts, with statistical significance. However, this result was not validated in the original TCIA/TCGA cohort due to the wide variety of imaging characteristics in the cohort. |
| 2320 | Computer 147
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DCE-MRI in Distinguishing Solitary Brain Metastasis from Glioblastoma: Evaluation of Multiple Pharmacokinetic Models |
| Bao Wang1, Yuan Yao1, Jingzhen He1, and Dmytro Pylypenko2 | ||
1Radiology, Qilu Hospital of Shandong University, Jinan, China, 2GE Healthcare, Beijing, China |
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Keywords: Tumors, DSC & DCE Perfusion This study aimed to explore performances of parameters derived from DCE-MRI with multiple pharmacokinetic models regarding this differential diagnosis, as well as overall performances of models. Eighty-eight patients with suspected GBM and SBM underwent DCE-MRI in this study. Peritumoral vp from shutter-speed model achieved the best single-parameter’s performance. Additionally, shutter-speed model achieved the highest overall separating performance. Shutter-speed is the recommended DCE-MRI pharmacokinetic model for differential diagnosis between GBM and SBM. |
| 2321 | Computer 148
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Quantitative Sodium Imaging Report for Monitoring Brain Tumor Lesion Progress |
| Sanghoon Kim1 and Alexander Lin1 | ||
1BWH, Boston, MA, United States |
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Keywords: Tumors, Quantitative Imaging, Sodium Imaging ▶︎ MR has been commonly used for the brain tumor patient monitoring. However, most of the MR images does not provide quantitative physiologic information, which can be ambiguous with longitudinal monitoring. ▶︎ Sodium MR imaging can quantitatively provide tumor cell viability information. ▶︎ This presentation introduces a brain tumor patient’s longitudinal quantitative sodium imaging report. ▶︎ Potentially, this quantitative report can be attributed to the tumor patient’s treatment plan. |
| 2322 | Computer 149
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Comprehensive Analysis Of APTw Imaging In Diagnosis And Grading Of Gliomas – Bridging The Gap Between Imaging And Histopathological Outcomes |
| Lavanya Yegnaraman1, Natesan Chidambaranathan1, Adhityan Rajendran2, Rashmi Rao3, Manikandan Mariyapillai3, and Narayana Krishna Rolla3 | ||
1Radiodiagnosis, Apollo Hospitals Chennai, Chennai, India, 2Radiology, Apollo Hospitals, Chennai, India, 3Philips India Ltd, Gurgaon, India |
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Keywords: Tumors, CEST & MT, amide proton transfer The utility of Amide Proton Transfer weighted imaging in preoperative grading of gliomas was studied. 64 patients with various primary intraaxial tumours were included in the study. Mean APTw was able to differentiate between IDH mutant grade 2 and grade 3 gliomas (astrocytomas and oligodendrogliomas) with statistical significance (p<0.05). APTw imaging can well delineate between the tumour core and the tumour periphery and the difference in the APT means between the two regions is statistically significant. APTw imaging also identifies grade 3 tumours misclassified as grade 2 on other sequences. |
| 2323 | Computer 150
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Deuterated Vitamin C as a new probe for the assessment of in vivo oxidative stress using deuterium metabolic imaging and 13C HP MRS |
| Saket Patel1, Nathaniel Kim1, Thasin Peyear1, and Kayvan R Keshari1 | ||
1Radiology, Memorial Sloan Kettering Cancer Center, Manhattan, NY, United States |
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Keywords: Tumors, Deuterium, DMI, HP, Metabolism, Probes, Imaging agent A chemical synthesis of C-4 deuterated ascorbic acid as a potential new deuterium metabolic imaging marker for in vivo VitC metabolism. Additionally, we have developed new HP methods for Vit C as well as its oxidized analogue, DHA, to be used as a 13C HP MRS substrates. Furthermore, deuteration increases the 13C T1 of HP DHA and improved polarization from optimized HP formulations along with enhanced 13C T1 will result in better quantification of oxidative stress in vivo. The aim is to implement both DMI and HP MRS in brain tumor models to understand the anticancer activity of VitC. |
| 2324 | Computer 151
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Analysis of fasting-induced metabolic changes in glioma tissue detected by non-invasive 1H/31P MR-Spectroscopy |
| Seyma Alcicek1,2,3,4, Iris Divé2,3,4,5, Ulrich Pilatus1,2,3,4, Vincent Prinz6, Joachim P. Steinbach2,3,4,5, Marie-Thérèse Forster6, Elke Hattingen1,2,3,4, Michael W. Ronellenfitsch2,3,4,5, and Katharina J. Wenger1,2,3,4 | ||
1Institute of Neuroradiology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany, 2University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany, 3Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany, 4German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, Frankfurt am Main, Germany, 5Dr. Senckenberg Institute of Neurooncology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany, 6Department of Neurosurgery, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany |
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Keywords: Tumors, Spectroscopy Nutritional interventions such as fasting are currently under evaluation as anti-cancer treatment. In glioma patient cohorts, the feasibility and safety of fasting in addition to antitumor treatment has been shown. However, it is still unclear whether fasting exerts effects on the glioma tumor tissue at all, and whether fasting causes metabolic or immunological changes in the glioma microenvironment that could be exploited therapeutically. This is a report on the metabolic flexibility of tumor cells induced by a fasting cycle of 72 hours prior to biopsy or resection analyzed by MR-Spectroscopy (MRS) as part of the ERGO3-trial. |
| 2325 | Computer 152
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Benefit of Vessel Size/Architecture Imaging with DSC-MRI for Differentiation of Tumor Recurrence versus Pseudoprogression in Glioma Patients |
| Jian Ming Teo1,2, Jason M Johnson3, Halyna Pokhylevych3, Kinsey Lano3, Ping Hou1, Xinzeng Wang4, and Ho-Ling Liu1 | ||
1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States, 3Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4GE Healthcare, Houston, TX, United States |
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Keywords: Tumors, DSC & DCE Perfusion, Gliomas Vessel Size Imaging was performed on twenty-five glioma patients to obtain voxel-wise relative vessel size index and peak shift maps. This study aimed to investigate if relative vessel size index and difference in peak shift between lesion vs normal appearing white matter voxels will assist in differentiating pseudoprogression vs tumor recurrence for post-treatment gliomas. It was shown that AUC and accuracy increases when incorporating rVSI and difference in peak shift. |
| 2326 | Computer 153
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Effects of glutamine synthetase on neovascularization in glioma studied by In vivo MR vessel size imaging |
| tianwei song1, yanan zhang1, chen zhou1, and Junchao Qian1 | ||
1Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, P. R. China, Hefei, China |
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Keywords: Tumors, Blood vessels Glioblastoma (GBM) is a highly invasive and vascularized primary malignant brain tumor. Glutamine synthetase (GS) could induce vessel sprouting through the improvement of endothelial cell migration in inflammatory diseases. MR vessel size imaging was supposed to visualize angiogenesis potentially in the brain. In the study we research the role of GS on neovascularization in glioma by in vivo vessel size imaging. Our results indicate that the vascular changes mainly occur in the tumor center and significant decreases of microvascular density values in the MSO group compared to the control. GS inhibitor could be a potential drug to treat glioma. |
| 2327 | Computer 154
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Differences in Brain Structural and Metabolic Phenotype in Mouse Models of Down Syndrome and Brain Tumors |
| Natalie Julie Serkova1, Paula Araya2, Sharon Cain3, Jenna Steiner1, Kelly Sullivan4, and Joaquin Espinoza2 | ||
1Radiology, University of Colorado Anschutz, Aurora, CO, United States, 2Pharmacology, University of Colorado Anschutz, Aurora, CO, United States, 3Biochemistry, Chaminade University of Honolulu, Honolulu, HI, United States, 4Pediatrics, University of Colorado Anschutz, Aurora, CO, United States |
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Keywords: Tumors, Animals, Down Syndrome Gliomas are exceedingly rare in Down Syndrome (DS). This study characterizes metabolic biomarkers and structural differences in the brains of mouse DS models and compare them to glioma models. Analysis of the age-dependent differences in the metabolic profile was carried out by 1H-NMR metabolomics and compartmental brain volumes of mouse brains were assessed from T2-weighted MRI. A significant age-dependent neuronal loss in the cortex and hippocampus, with a hyperventricular profile, was observed in DS mice. Highly decreased lactate and amino acid concentrations were observed in DS, in contrast to glioma extracts, indicative of decreased metabolic dependency on glycolysis and proteolysis. |
| 2328 | Computer 155
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Evaluations of tumor acidosis that monitors early response to radiotherapy in a glioblastoma model using acidoCEST MRI |
| Michelle Zalles1, F William Schuler1, Jorge de la Cerda1, Alia Khaled1, Sanhita Sinharay2, and Mark D Pagel1 | ||
1Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, 2Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India |
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Keywords: Cancer, CEST & MT, pH imaging The treatment of glioblastoma potentially causes tumor necrosis, which has reduced glycolytic metabolism. AcidoCEST MRI measures tumor acidosis caused by tumor glycolysis. Our study demonstrated that acidoCEST MRI, a molecular imaging method that measures tumor extracellular pH, can detect a decrease in pHe < 7.0 for tumors that resisted radiotherapy or were untreated, and can detect an increase in pHe > 7.0 for tumors that were successfully treated or showed evidence for necrosis. |
| 2329 | Computer 156
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Metabolic Alternations in Normal Appearing Brain in Brain Tumor Patients: Potential Mechanism of Chemo-Brain |
| Natasha Najam1, Sam Jiang1, Huijun Liao1, and Alexander Peter Lin1 | ||
1Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital / Harvard Medical School, Boston, MA, United States |
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Keywords: Tumors, Spectroscopy, chemotherapy, normal-appearing brain Patients that undergo chemotherapy have been shown to develop cognitive dysfunction after treatment. Previous studies have shown changes in white matter metabolism; however, few have examined grey matter metabolism. Our results show that glutamate, glutathione, creatine, N-acetylaspartate, and myoinositol were reduced in the posterior cingulate in tumor patients that underwent chemotherapy when compared to healthy controls. The effect of radiotherapy was also examined but did not show metabolic differences. |
| 2330 | Computer 157
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MR multitasking-based dynamic imaging forcerebrovascular evaluation (MT-DICE) in brain tumors |
| Jiayu Xiao1, Yang Chen1, Jason Ye2, Zhehao Hu1, Anthony Christodoulou3, Mark Shiroshi1, Debiao Li3, and Zhaoyang Fan1,2,4 | ||
1Radiology, Keck School of Medicine of USC, Los Angeles, CA, United States, 2Radiation Oncology, Keck School of Medicine of USC, Los Angeles, CA, United States, 3Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States |
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Keywords: Tumors, DSC & DCE Perfusion Brain tumors represent a great therapeutic challenge and tend to impact blood brain barrier (BBB) integrity, angiogenesis, and vascularity. Dynamic contrast-enhanced (DCE) MRI is widely used to quantify BBB permeability and dynamic susceptibility contrast MRI (DSC) is used to quantify cerebral perfusion. We incorporated the newly developed MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE) technique to achieve simultaneous DCE and DSC acquisition with a single-dose injection. MT-DICE could quantify DCE and DSC parameters with good inter-reader agreement in patients with brain tumors. The intratumoral enhanced region showed more severe BBB disruption and higher perfusion than the peritumoral T2-hyperintense regions. |
| 2331 | Computer 158
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Prediction of IDH status of Glioma using Diffusion Tensor Imaging and Clinical features |
| Yuxia Liang1, Yuhan Ren2, Yu Shang3, Xiang Liu3, Maode Wang3, Ming Zhang3, and Chen Niu4 | ||
1The first affiliated hospital of Xi'an Jiaotong University, Xi'An, China, 2Hospital of Stomatology Xi'an Jiaotong University, Xi'an, China, 3The first affiliated hospital of Xi'an Jiaotong University, Xi'an, China, 4The first affiliated hospital of Xi'an Jiaotong University, XI'an, China |
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Keywords: Tumors, Diffusion Tensor Imaging, glioma Isocitrate dehydrogenase (IDH) is critical to prognosis of glioma. While, reliable techniques for preoperative assessment of IDH status remain scarce. In this study, we investigated mean diffusivity (MD) and anisotropy fraction (FA) using Diffusion Tensor Imaging (DTI) combined with the clinical features to predict IDH status. Our results found significant differences in FAmean/FAnawm, MDmin, NLR, and age between IDH mutant and IDH wild groups. The model incorporating FAmean/FAnawm, MDmin, NLR, and age predicted IDH status with area under ROC curve of 0.85, 95% CI: 74.3%~95.7%. Our findings suggested that DTI combined with clinical features can non-invasively prediction of IDH status. |
| 2471 | Computer 121
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Correlation of Cerebral Blood Flow with Cognitive Impairment in Hemodialysis Patients Based on 3D pCASL |
| Man Wang1, Yuhan Jiang1, Liangjie Lin2, Jiajun Cao1, and Yanwei Miao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Clinical and Technical Support, Philips Healthcare, Beijing, China |
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Keywords: Blood vessels, Kidney, Cerebral Blood Flow、 Cognitive Impairment、 Hemodialysis Patients、 3D pCASL、 End-stage renal disease This work aimed to use 3D pseudo-continuous arterial spin labeling (3D pCASL) imaging technology to compare the difference of cerebral blood flow between hemodialysis patients (HDs) and healthy controls (HCs), and to analyze the relationship between cerebral blood flow changes and cognitive impairment. Results showed that decreased cerebral blood flow in the left Fusiform (Fusiform-L) and the left Temporal Inferior of HDs compared with HCs. Mean CBF in Fusiform-L was positively correlated with recognition, and mean CBF in Fusiform-L was negatively correlated with psychomotor speed and visual attention in HDs. |
| 2472 | Computer 122
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Examination of the optimal imaging parameters for intracranial vessel wall bone-like imaging using FRACTURE |
| Keita Fukushima1, Miho Gomyo2, Kazuhiro Tsuchiya2,3, Shun Saito1, Tatsuya Yoshioka1, Takahiro Arai1, Takayuki Yonaha1, Ayaka Negishi1, Kosuke Sakaguchi1, Yuma Kumagai1, Makoto Obara4, Masatoshi Honda4, Takashi Namiki4, Yoshiyuki Nishimura4, Akihito Nakanishi1, and Kenichi Yokoyama2 | ||
1Section of Radiology, Kyorin University Hospital, Tokyo, Japan, 2Department of Radiology, Faculty of Medicine, Kyorin University, Tokyo, Japan, 3Department of Radiology, JR Tokyo General Hospital, Tokyo, Japan, 4Philips Japan, Ltd., Tokyo, Japan |
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Keywords: Blood vessels, Bone, bone-like imaging Fast field echo resembling a CT using restricted echo-spacing (FRACTURE), which has been recently developed, has enabled visualization of calcification as well as cortical and spongy bones. However, it cannot be applied to intracranial vessel wall imaging due to insufficient suppression of cerebrospinal fluid (CSF) signal and intra-arterial flow artifact. In this study, by performing scans of an original phantom and healthy volunteers, we reveal that the application of multi-chunk and magnetization transfer contrast pulse to FRACTURE can suppress CSF signal and intra-arterial flow artifact and that FRACTURE can be efficiently applied to vessel wall bone-like imaging. |
| 2473 | Computer 123
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Microstructural and microvascular alterations in the non-NPSLE patients: a DKI and 3D pCASL study |
| Xiaojuan Wang1, Lingling Huang1, Qi Lin1, Lian Yu1, Peng Wu2, and Xiance Zhao2 | ||
1Longyan First Hospital Affiliated to Fujian Medical University, Longyan, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Blood vessels, Brain, non-neuropsychiatric systemic lupus erythematosus DKI and 3D pCASL were employed to investigate whether white/gray matter microstructure and cerebral microcirculation were altered in patients suffering from non-neuropsychiatric systemic lupus erythematosus (SLE). MK, MKT and CBF values were obtained from 25 brain areas, including gray and white matter. We demonstrated decreased MK, MKT, and elevated CBF in some regions in SLE compared to controls. This study suggested that the brain lesions existed in SLE, DKI and pCASL might be useful for depicting SLE brain early damages, and MK seems to be more sensitive and helpful. |
| 2474 | Computer 124
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Sex-specific grey matter atrophy and brain-behavior relationships in CADASIL |
| Xiuqin Jia1, Chen Ling2, Yingying Li1, Xuejia Jia1, Chen Zhang3, Danny JJ Wang4, Zihao Zhang5, Yun Yuan2, and Qi Yang1 | ||
1Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2Peking University First Hospital, Beijing, China, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China, 4USC Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 5State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China |
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Keywords: Blood vessels, Brain, CADASIL The potential neurobiological substrates for sex differences in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) are largely unexplored. In this study, we explored the sex-specific neuroanatomical mechanisms of CADASIL. Greater grey matter atrophy was found in the frontotemporal cortex in male CADASIL. Working memory was associated with volumes in the bilateral orbitofrontal cortex and left entorhinal cortex among female CADASIL. The current findings indicate that sex affects the pathogenesis of CADASIL, ranging from differences in neuroanatomy to those in behavioral performance. |
| 2475 | Computer 125
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Impact of resting physiology on the repeatability of phase contrast MRI measures of cerebral blood flow |
| Hannah R Johnson1,2, Rachael C Stickland2, Kristina M Zvolanek1,2, Yufen Chen3, and Molly G Bright1,2 | ||
1Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, United States, Evanston, IL, United States, 2Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States |
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Keywords: Blood vessels, Velocity & Flow Interpretation of clinically significant changes in total cerebral blood flow (CBF) can be confounded by normal variability in flow measures. We assessed the effects of resting end-tidal CO2 (PETCO2) on inter-session variability in total CBF as measured with phase contrast MRI. Participants were scanned twice, 1-3 weeks apart, with PETCO2 clamped at resting physiology. Clamping PETCO2 at participants’ resting respiratory physiology does not notably improve inter-session variability in flow, which was found to be consistent with previously reported values. Furthermore, inter-session changes in resting PETCO2 did not help to explain noted variability in total CBF. |
| 2476 | Computer 126
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The value of high resolution black blood 3D T1-VISTA-MSDE in the detection of cerebral venous sinus |
| Jianmin ZHENG1, Jianxiu Lian2, Hong Wang1, Leilei Li1, Yingjuan Chang1, Guorui Hou1, Gang Lin1, Yang Li1, Yang Li1, and Minwen Zheng1 | ||
1Xijing Hospital, Air Force Medical University, Xi 'an, China, 2Philips Healthcare, Beijing, China, Beijing, China |
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Keywords: Blood vessels, Blood vessels, black blood, venous sinus thrombosis Cerebral venous sinus thrombosis (CVST) is one of ischemic cerebrovascular diseases with low morbidity and high mortality. Three-dimensional volumetric isotropic turbo spin echo acquisition（3D-VISTA）can be adopted, which has high resolution and most blood signals will be suppressed. In addition, a motion-sensitized and fault-driven equilibrium（MSDE） technology were applied for more thorough blood suppression. 3D-VISTA showed SNR and CNR were significantly higher than when compared with enhanced three-dimensional TFE sequence, which could more accurately identify CVST. 3D-VISTA sequence can be used to improve the recognition rate of craniocerebral veins, which could provide valuable evidence for accurate identification of clinical craniocerebral venous thrombosis. |
| 2477 | Computer 127
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Increased pulsatility is associated with higher blood flow in the cerebral microvasculature as assessed with 7T MRI |
| Elles P. Elschot1,2, Marieke van den Kerkhof1,2, Merel M. van der Thiel1,2,3, Robert J. van Oostenbrugge2,4,5, Abraham A. Kroon5,6, Walter H. Backes1,2,5, and Jacobus F. A. Jansen1,2,7 | ||
1Radiology & Nuclear Medicine, Maastricht University Medical Center +, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Psychiatry & Neuropsychology, Maastricht University Medical Center +, Maastricht, Netherlands, 4Neurology, Maastricht University Medical Center +, Maastricht, Netherlands, 5School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands, 6Internal Medicine, Maastricht University Medical Center +, Maastricht, Netherlands, 7Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Keywords: Blood vessels, Hypertension We studied blood flow pulsatility and perfusion in the cerebral microvasculature to increase the understanding of the pathophysiological processes in hypertension. By exploiting the possibilities of ultra-high-field strength (7T), utilizing phase contrast MRI and spin-echo dynamic susceptibility MRI, we focused specifically on the microvasculature. We found that a higher blood flow pulsatility in the lenticulostriate arteries is correlated with higher cerebral blood flow. Furthermore, hypertension status seems to have an effect on varying pulsatility, which seems to be counteracted by medication usage. |
| 2478 | Computer 128
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Feasibility of pointwise encoding time reduction with radial acquisition (PETRA) MR angiography for assessment of intracranial arteries at 7T |
| Xiangchuang Kong1, Jun Ma2, Erin Westerhold1, Eric H. Middlebrooks1, Shengzhen Tao1, Chen Lin1, and Xiangzhi Zhou1 | ||
1Department of Radiology, Mayo Clinic, Jacksonville, FL, United States, 2Siemens Medical Solutions USA, Inc., Jacksonville, FL, United States |
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Keywords: Blood vessels, High-Field MRI, PETRA-MRA, 7T PETRA-MRA is a non-contrast subtraction-based MRA technique for intracranial-vasculature assessment. Compared to TOF, PETRA-MRA is robust to turbulent-flow-related signal voids and metallic-susceptibility artifacts. 7T MRI should further improve the performance of PETRA-MRA due to higher SNR allowing improved spatial-resolution. Here we demonstrate the feasibility and performance of PETRA-MRA at 7T in evaluating intracranial-vasculature. 7T 3D-TOF and PETRA-MRA were performed on volunteers. The blood-to-background contrast ratio for PETRA-MRA was significantly higher than TOF. PETRA-MRA also has better cerebral-artery-visualization with more uniform artery blood signal and comparable sharpness. Overall, PETRA-MRA is a promising technique for evaluating cerebral-arteries at 7T. |
| 2479 | Computer 129
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Angiographic Comparison of Different Velocity-Selective Labeling Modules Directly on Cerebral Arteries |
| Dapeng Liu1,2, Dan Zhu1,2, and Qin Qin1,2 | ||
1Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, United States |
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Keywords: Blood vessels, Blood vessels, MR Angiography Velocity-selective labeling has been utilized in both arterial spin labeling (VSASL) and angiography (VSMRA). This study evaluated the labeling characteristics directly on various cerebral arteries using VSMRA with different VS labeling modules, including double refocused hyperbolic tangent (DRHT), eight-segment B1-insensitive rotation (BIR-8), delay alternating with nutation for tailored excitation (DANTE), Fourier transform based velocity-selective saturation (FT-VSS) and inversion (FT-VSI). Their effects on both the cerebral arterial vasculature and static brain tissue were visualized angiographically and compared quantitatively. And the implication for VSASL and VSMRA are discussed. |
| 2480 | Computer 130
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Pulsatility in the circle of Willis increases with age |
| Henning U. Voss1,2 and Qolamreza R. Razlighi2 | ||
1Cornell University, Ithaca, NY, United States, 2Weill Cornell Medicine, New York, NY, United States |
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Keywords: Blood vessels, Velocity & Flow, Pulsatility, Pulse waves As we get older, the elasticity of our blood vessels decreases significantly, which can lead to a diminished absorption of blood pressure pulsations, potentially causing damage including hemorrhagic stroke and microbleeds. We studied pulsatility in the circle of Willis, which has been hypothesized to be a pressure absorber, by the method of MRI hypersampling by analytic phase projection (APP). A significant correlation of pulsatility in the circle of Willis with age was found. This finding is interpreted as an ageing-related increase in pulsatile flow relative to the steady flow component of overall cerebral blood flow. |
| 2481 | Computer 131
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4DFlow Leap-Frog and FFE-DIXON analysis for aneurysm endovascular image-guided treatment |
| María Paula Del Popolo1,2,3, Rodrigo Nahuel Alcalá1,2,4, Chiara Lombardo1,4, Ezequiel Petra2, Federico Julián González1,5, Olivier Balédent6, Sebastián Moguilner7, Roberto Isoardi1,4,5, Valdir Fialkowski8, and Daniel Fino1,2,5 | ||
1Fundación Escuela de Medicina Nuclear, Mendoza, Argentina, 2Fundacion Argentina para el Desarollo en Salud, Mendoza, Argentina, 3Universidad de Mendoza, Mendoza, Argentina, 4FCEN, Universidad Nacional de Cuyo, Mendoza, Argentina, 5Instituto Balseiro, Universidad Nacional de Cuyo, Bariloche, Argentina, 6University Hospital Amiens, Amiens, France, 7Harvard Medical School, Boston, MA, United States, 8Philips, Sao Paulo, Brazil |
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Keywords: Blood vessels, Velocity & Flow, Neuro 4Dflow has become a widely used sequence for dynamical characterization of the vascular system. This work shows that it is feasible to implement Leapfrog to acquire results that are colse to those obtained with Finite Volume Methods with excelent results in velocity, vortex and energy, but with certain limitations when estimating the WSS. In order to diminish the acquisition time, we will implement a postprocessing tool using only a 2D Phase Contrast acquisition and implement FSI (CFD), this results will be compared with those given by the LF method. |
| 2482 | Computer 132
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Quantitative phase contrast MRI of penetrating arterioles in cerebral white matter in patients with diabetes at 7T |
| Xiaopeng Zong1, Jordan Jimenez2, Tengfei Li2, and William Powers3 | ||
1ShanghaiTech University, Shanghai, China, 2University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Duke University, Durham, NC, United States |
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Keywords: Blood vessels, Aging, small vessel disease Brain lesions caused by cerebral small vessel disease (SVD) are commonly observed in the elderly. However, it remains challenging to noninvasively measure the early pathological changes of the underlying vessels. To this end, we evaluated the feasibility of detecting changes in white matter penetrating arterioles (PA) with 7T MRI in patients with diabetes, a known risk factor for SVD, but without severe SVD and in age and gender matched healthy controls (HC). We observed lower flow velocities in PAs in the patients, suggesting that early changes in PA that are discriminative of overt SVD risks can be detected at 7T. |
| 2483 | Computer 133
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Visualization of Lenticulostriate Arteries on High-Resolution Magnetic Resonance Imaging and Digital Subtraction Angiography |
| ZhongPing Chen1, Dan Tong1, Yang Sun1, Shiyu Guo2, Yueluan Jiang3, and Zechen Yu4 | ||
1The First Hospital of Jilin University Department of Radiology, Changchun, China, 2The First Hospital of Jilin University Department of Radiology, Chanchun, China, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China, Beijing, China, 4Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China |
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Keywords: Blood vessels, Vessels Morphological characteristics of lenticulostriate arteries (LSAs) have important clinical significance. TOF MRA and intracranial vessel wall imaging (VWI) are powerful noninvasive vascular imaging techniques routinely used in vascular visualization. However, due to the small caliber of LSAs, it is difficult for conventional 3T TOF MRA to achieve the visualization of LSAs. High-resolution magnetic resonance imaging based on compressed sensing (CS) technology is expected to solve this dilemma. DSA is the gold standard for vascular visualization. This study proposes an optimized high-resolution TOF MRA scanning scheme based on CS technology and shows its feasibility in LSA visualization by comparing with DSA. |
| 2484 | Computer 134
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Imaging of Lenticulostriate Arteries and Pontine Arteries using 5.0-Tesla Magnetic Resonance Angiography |
| Lei Zhang1, Fei Feng2, Long Yang1, Guanxun Cheng2, Na Zhang1, Xin Liu1, and Hairong Zheng1 | ||
1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Radiology, Beijing University Shenzhen Hospital, Shenzhen, China |
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Keywords: Blood vessels, Blood vessels, ultra-high field, MRA Small arteries and arterioles, particularly the lenticulostriate arteries (LSAs) and pontine arteries (PAs) are known to be involved in small vessel disease, which contribute to progressive cognitive impairment in elderly persons. In this study, ultra-high field (5T) TOF-MRA was optimized and performed to visualize the LSAs and PAs. Our results show that 0.4mm3 is the optimal resolution for the visualization of LSAs and PAs. |
| 2485 | Computer 135
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Cerebrovascular reactivity differences in the anterior and posterior brain circulations in Healthy individuals |
| Harrison T. Levine1,2, Julien Poublanc2, Ece Su Sayin1,2, James Duffin1,3, Olivia Sobczyk2,3, Joseph A Fisher1,3, and David Mikulis2 | ||
1Department of Physiology, University of Toronto, Toronto, ON, Canada, 2Joint Department of Medical Imaging and the Functional Neuroimaging Lab, University Health Network, Toronto, ON, Canada, 3Department of Anaesthesiology and Pain Management, University Health Network, Toronto, ON, Canada |
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Keywords: Blood vessels, fMRI (task based), Cerebrovascular Reactivity There is no consensus regarding the differences in Cerebrovascular Reactivity (CVR) magnitude differences between anterior and posterior circulations in healthy individuals. Forty-four healthy individuals underwent BOLD fMRI using a standardized blood vascular stress test achieved with sequential gas delivery. These results showed that cerebrovascular magnitude and speed of response tau) were stronger and faster in the posterior circulation compared to anterior circulation tissues. Therefore, the knowledge that there are significant regional differences in CVR is critical for investigating the regional impact of cerebrovascular pathologies. |
| 2486 | Computer 136
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Simple MRI score to evaluate the effect of cerebral small vascular disease on the mental state of patients with hemodialysis |
| Mengying Li1, Yuhan Jiang1, Dandan Zheng2, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Keywords: Blood vessels, Neuroscience, Psychiatric Disorders Hemodialysis(HD) can lead to hemodynamic changes and result in the occurrence of cerebral small vascular diseases(CSVD), which can cause changes in the mental state of patients. The objective of this study was to evaluate the effect of CSVD on the mental state of patients with hemodialysis by simple MRI score. Preliminary results show that HD is more likely to induce more serious CSVD and increase the prevalence of anxiety and depression, especially periventricular white matter hyperintensities (PVWMH) and cerebral microbleeds(CMB), which are closely related to the occurrence of anxiety and depression. |
| 2487 | Computer 137
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Characterization of Cerebral Perforating Arteries using submillimeter-resolution PC-MRI with Dual-VENC at 3T: A Feasibility Study |
| Jianing Tang1,2, Helena Chui3, and Lirong Yan2,3 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Evanston, IL, United States, 3Department of Neurology, University of Southern California, Los Angeles, CA, United States |
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Keywords: Blood vessels, Brain Direct characterization of cerebral perforating arteries, such as lenticulostriate arteries (LSAs), can provide valuable insight for understanding the pathology of small vessel diseases. Previous studies have demonstrated the feasibility of 7T PC-MRI for the characterization of LSA pulsatility. However, 7T MRI has not been in widespread use in both clinical and research studies, compared to conventional 3T. The current study aims to study the feasibility of using 3T dual-VENC PC-MRI to characterize LSA pulsatility. Our results show that 3T PC-MRI with dual-VENC offers reliable LSA pulsatility measurements that are comparable to 7T measurements. |
| 2488 | Computer 138
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Cerebral vessel size imaging reveals altered microvascular architecture in patients with vascular cognitive impairment |
| Paulien HM Voorter1, Maud van Dinther2, Gerhard S Drenthen1, Elles P Elschot1, Julie Staals2, Robert J van Oostenbrugge2, Walter H Backes1, and Jacobus FA Jansen1 | ||
1Department of Radiology and Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Neurology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands |
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Keywords: Blood vessels, Blood vessels, Vessel size imaging With vessel size imaging, utilizing hybrid spin-echo gradient-echo perfusion scans, we studied microvascular architectural differences in patients with vascular cognitive impairment (VCI). We found lower vessel density and larger vessel radii in white matter hyperintensities compared to normal-appearing white matter. Moreover, we observed lower vessel density and larger vessel radii in deep gray matter of VCI patients compared to controls. Our findings suggest that the smallest capillaries are the first to collapse in VCI pathology and that the microvasculature not only alters in visibly injured tissue but also in regions that are less prone to hypoperfusion (gray matter). |
| 2489 | Computer 139
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Diagnostic Performances of PETRA-MRA, TOF-MRA, and CTA in Assessing Intracranial Arterial Stenosis with DSA as a Reference Standard |
| Junxia Niu1, Yuncai Ran2, Yan Zhang2, Yanglei Wu3, and Rui Chen2 | ||
1Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Siemens Healthineers Ltd., Beijing, China |
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Keywords: Stroke, MR Value, Vessels This study compared the performance of three noninvasive techniques, namely, 3D pointwise encoding time reduction magnetic resonance angiography (PETRA-MRA), 3D time-of-flight (TOF) MRA and computed tomography angiography (CTA) in accurately measuring the degree of stenosis and lesion length in patients with intracranial arterial stenosis using DSA as the reference standard. This study demonstrated that the estimation of intracranial stenosis and lesion length by PETRA-MRA was more accurate and comparable with DSA than TOF-MRA and CTA. Therefore, PETRA-MRA is a promising noninvasive tool for the accurate assessment of ICAS. |
| 2490 | Computer 141
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The effect of different expressions of Delta-catenin on the properties of small world brain network in breast cancer patients before chemotherapy |
| Mingtuan Xue1, Jiajun Cao1, Wei Du1, Wenjia Wang2, and Yanwei Miao1 | ||
1The department of radiology, the first Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Beijing, China |
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Keywords: Tumors, Cancer, BRCA patients, Delta-catenin, Resting-state fMRI This work aimed to explore the effects of different expressions of Delta-catenin in breast cancer(BRCA) patients based on small-world brain network. The results showed that the expression status of Delta-catenin proteins had significant differences on the small-world brain network properties of patients. |
| 2491 | Computer 142
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Amide proton transfer-weighted MRI of brain tumors with fluid & solid compartment corrections using background magnetization transfer effects |
| Osamu Togao1, Jochen Keupp2, Koji Yamashita3, Kazufumi Kikuchi4, Tatsuhiro Wada5, and Kousei Ishigami4 | ||
1Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Philips Research, Hamburg, Germany, 3Department of Radiology Informatics and Network, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 4Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 5Division of Radiology, Department of Medical Technology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan |
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Keywords: Tumors, CEST & MT We propose a simple and efficient metric for APT-weighted MRI, which suppresses fluid signals and enhances signals form solid components based on the spectral shape of the background MT ratio. No extra acquisition or mathematical fitting is needed because the metric can be computed from the minimum Z-spectral data required for standard APT-weighted MRI. This post-processing normalizing for background MT effects may facilitate the quantitative evaluation of the APT-weighted signal of the active solid component in brain tumors. |
| 2492 | Computer 143
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Optimisation of 1H MRS quantitation with tissue water referencing in the presence of brain tumour heterogeneity |
| Franklyn A Howe1, Timothy L Jones2, Philip Rich3, Felix Raschke4, Jamshid Dehmeshki5, and Thomas R Barrick1 | ||
1Molecular and Clinical Sciences Research Institute, St George's, University of London, London, United Kingdom, 2Neurosurgery, St George's University Hospital Foundation Trust, London, United Kingdom, 3Neuroradiology, St George's University Hospital Foundation Trust, London, United Kingdom, 4Faculty of Medicine and University Hospital Carl Gustav Carus, OncoRay - National Center for Radiation Research in Oncology, Dresden, Germany, 5Image Analysis Group, London, United Kingdom |
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Keywords: Tumors, Spectroscopy, quantitation A tissue water signal is frequently used as a reference for metabolite quantitation by 1H MRS. We have determined the variability of T1, T2 and PD in glial brain tumours and normal brain to assess how tumour heterogeneity affects the reference signal at 3T. The typical short echo time MRS parameters TR 2000ms and TE 32ms reside within a “sweet spot” of minimum variation in the product PD*exp(-TE/T2)*[1-exp(-TR/T1)] that determines the water reference signal across a wide range of tissues (NWM, tumour core, necrosis and oedema). This choice also provides good SNR per unit time for the key metabolite singlets. |
| 2493 | Computer 144
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Optimization of 2D-APT imaging of brain tumor based on saturated RF pulse parameters |
| na liu1, ailian liu2, peng sun1, qingwei song1, and yanwei miao3 | ||
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3The First Affiliated Hospital of Dalian Medical University, dalian, China |
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Keywords: Tumors, Molecular Imaging 2D APTw imaging is a single-slice imaging method focusing on the selected plane, with low spatial coverage and a much shorter scan time than its 3D counterpart, which makes it an optional scan sequence for patients who cannot tolerate long scan times. However, there is still a lack of an optimal setting for 2D APTw imaging in clinics for human brain tumors. Therefore, this study aims to explore the different combinations of pulse power and duration of saturation RF pulse in 2D APTw imaging on brain tumors and to find an optimal setting suitable for clinical use. |
| 2494 | Computer 145
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Consistency between 2D and 3D amide proton weighted imaging on brain tumors |
| na liu1, liangjie lin2, yukun zhang1, ailian liu3, qingwei song1, and yanwei miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, 2Philips Healthcare, BeiJing, China, 3The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Tumors, Molecular Imaging Amide Proton Transfer (APT) weighted imaging is a new type of magnetic resonance molecular imaging technology derived from Chemical Exchange Saturation Transfer (CEST) technology. APT weighted imaging can be carried out with 2D and 3D acquisition mode, so called as 2D- and 3D-APT respectively. There is no relevant report on the comparison of 2D and 3D-APT imaging on brain tumors. This study intends to compare and analyze the performance of 2D- and 3D-APT imaging on brain tumors through imaging and pathological data, and recommend a better APT imaging scheme to improve the diagnosis of brain tumors. |
| 2495 | Computer 146
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Spatial Habitats Analysis based on Multiparametric Physiologic MR Imaging Predicts Survival of Patients with Glioblastoma |
| Mengqiu Cao1, Liu Fang1, Xiaoqing Wang1, Xinyue Liang2, Yongming Dai2, and Zhou Yan1 | ||
1Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Tumors, Tumor, glioblastoma Glioblastoma (GBM) is characterized remarkably high tumors heterogeneity which contribute to its poor survival and effective therapies. We build the spatial habitats based on multiparametric physiologic MRI (diffusion-weighted and perfusion-weighted MRI) to describe the intratumoral heterogeneity of gliomas and explore the possibility of the link between theses habitats and progression-free survival (PFS). This shows the spatial correspondence with molecular histological features and MRI images. This also provide valuable information to identify tumor progression areas that may require biopsy and potential treatment resistance subregions which tend to be the target areas of treatment. |
| 2496 | Computer 147
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Hyperpolarized 129Xe Magnetic Resonance Imaging in Patients with Brain Tumors |
| Kun Cheng1,2, Chenxi Li1, Caohui Duan1, Xiangbing Bian1, Haidong Li3, Xin Zhou3, and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2School of Medical Imaging, Guizhou Medical University, Guiyang, China, 3Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China |
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Keywords: Tumors, Hyperpolarized MR (Gas), Xenon-129 This study explored the application of hyperpolarized 129Xe (HP 129Xe) MR imaging in patients with brain tumors. HP129Xe MR and 1H MR imaging was performed on three subjects. The results showed that HP 129Xe MRI has the ability to detect brain tumors, but the HP 129Xe brain MR imaging showed the lesion range was mismatched with T2 weighted image (T2WI) and arterial spin labeling (ASL)image, these are needed to be addressed in the future. |
| 2497 | Computer 148
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Using 3D APTw and ASL imaging to differentiate solitary brain metastases from glioblastomas |
| Ling Chen1, Tao Li1, Zisan Zeng2, Yao Li1, Kan Deng3, Shuanghong Li1, Jinhuan Zhang1, and Lifang Tang1 | ||
1The Fourth Affiliated Hospital, Guangxi Medical University, Liuzhou, China, 2The First Affiliated Hospital, Guangxi Medical University, Nanning, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Tumors, Brain This study is to determine whether APTw and ASL imaging are useful for distinguishing GBMs and SBMs. The differences in APT and CBF values between GBMs and SBMs were compared.The result showed that 3D APTw is an important MRI technique for distinguishing SBMs and GBMs. Particularly, APTw combined with ASL demonstrated a more satisfactory discrimination and a higher diagnostic performance. |
| 2498 | Computer 149
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Histogram analysis of APT Combined with DTI and DSC MRI for Predicting IDH Mutation and MGMT promotor methylation Status in Glioma |
| Lan Zhang1, Xinli Zhang1, Xiaona Fu1, Yuxi Jia1, Xiaoming Liu1, Lan Cheng1, Zhengwu Tan1, Xudong Li2, Zhengyin Cheng3, Xiaochuan Dong4, Peng Sun5, Xiaoxiao Zhang5, Xiaobin Jiang2, Chuansheng Zheng1, Xuan Wang2, and Jing Wang1 | ||
1Department of Radiology, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, 2Department of Neurosurgery, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, 3People's Hospital of Dongxihu District, Wuhan, Hubei, China., Wuhan, China, 4Department of Pathology, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, 5Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, China., Wuhan, China |
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Keywords: Tumors, Multi-Contrast In this study, the diagnostic performance of histogram features of APT, DTI and DSC in predicting IDH mutation and MGMT promoter methylation status of gliomas was compared. Secondly, the histogram parameters from the signal-time intensity curve of DSC significantly improved the predictive performance of DSC model. Most importantly, the combined logistic regression model combined with APT, DTI and DSC can evaluate the tumor nature of glioma more comprehensively and obtain better diagnostic performance, which is expected to become an imaging molecular marker for the prediction of glioma genotyping in the future. |
| 2499 | Computer 150
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Convolutional neural network to predict IDH mutation status in glioma from 7T chemical exchange saturation transfer imaging |
| Yifan Yuan1, Yang Yu2, Jun Chang1, Ying-Hua Chu3, Yi-Cheng Hsu3, Mianxin Liu4, and Qi Yue1 | ||
1Department of neurosurgery, Huashan Hospital Fudan University, Shanghai, China, 2Department of radiology, Huashan Hospital Fudan University, Shanghai, China, 3MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 4School of Biomedical Engineering, ShanghaiTech University, shanghai, China |
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Keywords: Tumors, CEST & MT Noninvasive prediction of isocitrate dehydrogenase (IDH) mutation status in glioma guides surgical strategies and individualized management. We explored the capability of preoperatively identifying IDH status by combining a 2D convolutional neural network (CNN) and amide proton transfer chemical exchange saturation transfer (APT-CEST) imaging. Five-fold cross-validation suggested the APT-CEST with the tumor shape information predicts IDH status optimally. The novel CNN model designed for 7T APT-CEST offers improved discriminatory accuracy in predicting the IDH status of glioma, holding great potential for facilitating decision-making in clinical practice. |
| 2500 | Computer 151
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Combined new molecular signature and radiological signature for risk stratification in IDH wild-type lower-grade glioma |
| Zhiyi Zhang1, Hui Zhang1, and Yan Tan1 | ||
1Shanxi Medical University, Taiyuan, China |
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Keywords: Tumors, Cancer, Iower-grade glioma When radiological signature was combined with new molecular signature, higher performance was achieved in predicting the prognosis of IDH wild-type lower-grade glioma patients. The combined model showed great risk stratification ability, which improving survival prediction in patients with IDH wild-type lower-grade glioma. |
| 2501 | Computer 152
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A Novel Biomimetic Nanodrug with High Reactive Oxygen Species Production for Precision Combination Therapy of Glioblastoma |
| Haiyan Gao1 and Meiyun Wang1,2 | ||
1Henan provincial People’s Hospital, Zhengzhou, China, 2Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China |
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Keywords: Tumors, Brain This project intends to innovatively design and synthesize novel radiotherapy sensitization and enhanced CDT dual-effect sensitization nanodrugs, further wrap them with engineered red blood cell membrane vesicles, and construct a high-performance biomimetic nanomedicine synergistic treatment system with high targeting, high specificity and high yield of reactive oxygen species, in order to achieve the specificity and high efficiency accumulation of nanomedicines in the GBM, while reducing toxicity to normal tissues. Magnetic resonance and other imaging methods are used to guide the efficient treatment of drugs and monitor the effect of tumor ablation. |
| 2502 | Computer 153
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Indirect detection of deuterated glucose brain metabolism at 3 Tesla: preliminary findings in volunteers and patients with gliomas |
| Adam W Autry1, Marisa LaFontaine1, Javier Villanueva-Meyer1, Susan M Chang2, Henk M de Feyter3, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 3Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States |
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Keywords: Tumors, Brain, deuterated glucose This study aimed to perform indirect detection of deuterated glucose metabolism at 3 Tesla in healthy subjects and patients with brain tumors using time-series data acquired from atlas-based single-voxel spectroscopy and whole-brain 3D magnetic resonance spectroscopic imaging (MRSI). Following 2H-glucose consumption, subjects generally displayed reduced levels of glutamate in the anterior cingulate cortex (ACC) and midline gray matter, while patient T2 lesions did not appear to show the same trend. These preliminary data demonstrate the ability to detect deuterated glucose metabolism at 3 Tesla. |
| 2503 | Computer 154
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Mapping MRI and MR Spectroscopy to Quantify Tumor and Edema Metabolism in Glioma Patients |
| Sribindu Sreepada1, Wufan Zhao1, Eduardo Coello1, Vicky Liao1, and Alexander Lin1 | ||
1Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital / Harvard Medical School, Boston, MA, United States |
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Keywords: Tumors, Spectroscopy, chemical shift imaging, glioma This work examines the differences in metabolite concentrations in brain cancer lesions between the glioma and edema hyperintensities. Metabolites that showed statistically significant differences in this work are 2HG, total choline, glutamate plus glutamine, myoinositol, and lactate. Correlations between the metabolites and the partial volume fractions of hyperintense regions from MRIs revealed that the metabolite concentrations are higher in glioma than in edema. These results provide a simple method for fusing metabolic data with imaging findings which can provide added value for clinicians. |
| 2504 | Computer 155
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Application of imaging omics based on DCE-MRI,DWI, and APT in glioma IDH-1 and Ki-67 prediction |
| zhenguo Yuan1, hexin Liang1, and Yuhan Wang2 | ||
1Shandong Provincial Hospital, Shandong, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Tumors, Brain We developed and validated radiomic models based on DWI, DCE, and APTw sequences to evaluate Ki-67 proliferation and IDH-1 mutation in glioma |
| 2505 | Computer 156
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Initial sensitivity evaluation of a new 19F nanoformulation at 3 Tesla using a novel human head coil |
| Gary Martinez1, Zhan Xu1, Dmitry Nevozhay1, Collin J. Harlan1, Christopher M. Walker1, Keith A. Michel1, Tyler King2, Emily Que2, Konstantin Sokolov1, and James A Bankson1 | ||
1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Chemistry, The University of Texas at Austin, Austin, TX, United States |
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Keywords: Tumors, Cell Tracking & Reporter Genes, immune therapy In order to track immune cells loaded with 19F compound, a nanoformulation based on iron-doped perfluoro-15-crown-5-ether, called Fe-PFCE was developed for Fluorine-19 MRI. It’s relaxation time was characterized with a custom designed 8 channel Fluorine transmit/receive head coil on clinical 3Tesla MR scanner. Its relaxation time (T1/T2) was 39ms/7ms as comparing to 894ms/196ms nanoformulation based on original (undoped) perfluoro-15-crown-5-ether, called “PFCE”. The SNR/19F-concentration ratio of 1ml Fe-PFCE nanoformulation measured by bSSFP was found to be 53% stronger than that of PFCE. A good signal profile was yielded within the coil receiving field. |
| 2506 | WITHDRAWN |
| 2507 | Computer 157
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Combing APT-CEST imaging and NODDI for an early distinction between pure edema and infiltrative tumor in glioma at 7T |
| Yifan Yuan1, Yang Yu2, Jun Chang1, Ying-Hua Chu3, Yi-Cheng Hsu3, He Wang4, Patrick Alexander Liebig5, Qi Yue1, Liang Chen1, and Ying Mao1 | ||
1Department of neurosurgery, Huashan Hospital Fudan University, Shanghai, China, 2Department of radiology, Huashan Hospital Fudan University, Shanghai, China, 3MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, 4Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China, 5MR Collaboration, Siemens Healthineers Ltd, Erlangen, Germany |
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Keywords: Tumors, CEST & MT, NODDI Glioma grows infiltratively along fiber tracts, making it difficult to determine the tumor boundary. Extended resection may impair eloquent brain areas and cause functional disorders, while conservative resection often leaves tumor residues at the cutting edge, leading to early recurrence. This study uses APT-CEST imaging and NODDI to explore glioma's microstructural and metabolic characteristics. We trained a model from 100 biopsies to predict tumor presence in non-enhancing areas. This model shows potential for guiding precise glioma resection and radiotherapy. |
| 2508 | Computer 158
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Clinical significance of leakage corrected hemodynamic parameters computed from DCE-MRI on quantitative glioma grading |
| Dinil Sasi Sankaralayam1,2, Rakesh Kumar Gupta3, Anandh K Ramaniharan4,5, Rana Patir3, Suneeta Ahlawat3, and Anup Singh1,6 | ||
1Indian Institute of Technology Delhi, New Delhi, India, 2Johns Hopkins University, Baltimore, MD, United States, 3Fortis Memorial Research Institute, Gurugram, India, 4Philips Innovation Campus, Bengaluru, India, 5Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 6All India Institute of Medical Sciences, New Delhi, India |
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Keywords: Tumors, DSC & DCE Perfusion Absolute quantification of cerebral-blood-volume (CBV) and cerebral-blood-flow (CBF) from dynamic-susceptibility-contrast (DSC)-MRI has shown wide clinical applications. Recent developments in dynamic-contrast-enhanced (DCE)-MRI have shown computation of CBV and CBF along with permeability information with and without model dependent analyses. The model free approach computed CBV and CBF with inherent leakage information and it is still unclear about the clinical significance of leakage correction. So this study is designed to evaluate the impact of leakage correction of CBV and CBF into glioma grading. Results of the study shows that leakage correction underperformed in terms of noise sensitivity and quantitatively differentiating glioma. |
| 2608 | Computer 81
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Geometric mean T2 of the intra/extracellular water can help identify diffusely abnormal white matter in multiple sclerosis |
| Irene Margaret Vavasour1,2, Kyle Vavasour3, Adam Dvorak4, Tigris Joseph2,4, Robert Carruthers5, Shannon Kolind1,2,4,5, Alice Schabas5, Ana-Luiza Sayao5, Virginia Devonshire5, Roger Tam1,6, GR Wayne Moore2,5,7, Anthony Traboulsee5, David Li1,5, and Cornelia Laule1,2,4,7 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada, 6School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 7Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Multiple Sclerosis, Multiple Sclerosis, diffusely abnormal white matter, T2 relaxation Diffusely abnormal white matter (DAWM) is seen on 25-50% of conventional brain MRI scans from all stages of multiple sclerosis (MS). From 8 advanced MRI metrics, geometric mean T2 of the intra/extracellular water (IET2) best separated MS participants with and without DAWM. Comparing IET2 to controls using z-scores, regions with an intermediate increase in IET2 (z-scores between 1-2) may identify DAWM voxels. |
| 2609 | Computer 82
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Free water alterations of deep gray matters over 1-2 years in small vessel disease |
| Yawen Sun1, Hongjiang Wei2, and Yan Zhou1 | ||
1Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 2School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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Keywords: Dementia, Diffusion/other diffusion imaging techniques, Free water mapping This study was to evaluate the neuroinflammation-related characteristics of the deep gray matter using free-water mapping in small vessel disease over 1-2 years. Our results support the presence of elevated free water at the preclinical stage of small vessel disease, which remains persistent during the early course of the illness. The free water values changes might be the biomarkers for the mechanism of cognitive decline in the evolution of small vessel disease. |
| 2610 | Computer 83
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Assessment of the effects of coronary artery disease on brain oxygen extraction fraction using quantitative susceptibility mapping. |
| Ali Rezaei1,2, Stefanie A Tremblay1,2, Dalia Sabra1,2,3,4, Safa Sanami1,2, Brittany Intzandt5, Julia Huck1, Zacharie Potvin-Jutras1,2, Christine Gagnon2, Amelie Mainville-Berthiaume6, Lindsay N Wright1,2, Dajana Vuckovic7, Josep Iglesies-Grau2,8, Thomas Vincent2, Mathieu Gayda2, Anil Nigam2, Louis Bherer2,8,9, and Claudine J Gauthier1,2 | ||
1Physics Department, Concordia University, Montreal, QC, Canada, 2Centre Epic and Research Center, Montreal Heart Institute, Montreal, QC, Canada, 3Department of Biomedical Science, Faculty of Medicine, Université de Montreal, Montreal, QC, Canada, 4PERFORM Centre, Concordia University, Montreal, QC, Canada, 5BrainLab, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 6Department of Psychology, Concordia University, Montreal, QC, Canada, 7Department of Chemistry and Biochemistry, Concordia University, Montreal, QC, Canada, 8Department of Medicine, Université de Montreal, Montreal, QC, Canada, 9Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada |
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Keywords: Blood vessels, Oxygenation Here we investigated the effect of coronary artery disease (CAD) on the brain oxygen extraction fraction (OEF) using quantitative susceptibility mapping (QSM). Our results, in a pilot dataset, show that OEF was significantly higher in CAD patients than in healthy controls in the caudate nucleus. This may be the result of declining cerebrovascular health in CAD patients in this region. However, since the caudate nucleus is iron-rich, this difference may also be interpreted as iron deposition as CAD has a known neuroinflammatory effect. Future work will investigate the impact of CAD on other metabolic and vascular components of brain health. |
| 2611 | Computer 84
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Effects of HIV-associated chronic inflammation on intracranial vessels using semi-automatic segmentation of MRA cerebrovascular features |
| Nhat Hoang1, Henry Wang2, Sahin Bogachan3, Muhammad Waqas Khan4, Abrar Faiyaz5, Meera Singh3, Jinjiang Pang6, Shumin Wang6, Li Chen7, Chun Yuan7, Jianhui Zhong1, Hongmei Yang8, Md Nasir Uddin3, and Giovanni Schifitto3 | ||
1Physics, University of Rochester, Rochester, NY, United States, 2Radiology, University of Rochester, Rochester, NY, United States, 3Neurology, University of Rochester, Rochester, NY, United States, 4Neurology-Stroke Division, University of Rochester, Rochester, NY, United States, 5Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, United States, 6Cardiology Research, University of Rochester, Rochester, NY, United States, 7Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States, 8Biostatistics, University of Rochester, Rochester, NY, United States |
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Keywords: Neuroinflammation, Vessels, MRA, CSVD, HIV HIV infected individuals (HIV+) are subjected to high risks of neurological complications, including cerebrovascular disease. Quantification of vascular features may provide a tool to investigate pathomechanisms and monitor cerebrovascular disease progression. In this study we used intracranial artery feature extraction (iCafe) to compare HIV+ with age matched controls. |
| 2612 | Computer 85
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White matter tracts of MS patients with progression independent of relapse activity show DTI-alterations compared to clinically stable patients |
| Mario Ocampo-Pineda1,2,3, Alessandro Cagol1,2,3, Muhamed Barakovic1,2,3, Po-Jui Lu1,2,3, Jannis Müller1,2,3, Sabine Schaedelin4, Pascal Benkert4, Matthias Weigel1,2,3,5, Lester Melie-Garcia1,2,3, Jens Kuhle2,3, Ludwig Kappos1,2,3, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, 2Department of Neurology, University Hospital Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 4Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland, 5Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland |
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Keywords: White Matter, Diffusion Tensor Imaging Progression independent of relapse activity (PIRA) has been described in patients with multiple sclerosis (MS) even in the earliest disease stages. Patients with PIRA show increased atrophy rates in multiple brain regions compared to stable patients. Here, we investigated whether patients with PIRA exhibit loss of integrity in WM tracts compared to stable patients. We studied 62 RRMS patients, 27 PIRA and 35 stable patients using a clinical DW-MRI protocol. Our results showed that PIRA patients present smaller FA values in areas of corpus callosum and along corticosprinal tract. These differences suggest neurodegeneration in major WM tracts of PIRA patients. |
| 2613 | Computer 86
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Microstructural alterations in gray and white matter integrity in migraine with aura |
| Kyla Ann Gaudet1, Laleh Eskandarian1, Melanie Li2, Susie Y Huang1, and Katharina Eikermann-Haerter3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 3Division of Neuroradiology, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Gray Matter, Neuroinflammation Migraine is one of the most common neurological disorders. Thirty percent of migraine patients develop transient neurological symptoms, the so-called migraine aura. Migraineurs, particularly those with aura, show an increased incidence of white matter lesions (WML). To improve our understanding of WML in migraineurs, we utilized Soma and Neurite Density Image (SANDI) as an advanced diffusion magnetic resonance imaging signal model to assess in-vivo microstructure of gray matter and white matter. We found evidence for occult changes in microstructural gray and white matter integrity that point to a common underlying mechanism driving cellular inflammation and neuronal injury in migraine. |
| 2614 | Computer 87
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Elucidating the role of diabetes mellitus on multiple sclerosis pathology using diffusion MRI |
| Michael Lan1, Valentin Stepanov1, Jenny Chen1, Benjamin Ades-Aron1, Dmitry S. Novikov1, and Els Fieremans1 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Multiple Sclerosis, Diffusion/other diffusion imaging techniques Diabetes mellitus (DM) has been potentially associated with multiple sclerosis (MS), but has not been definitively shown to worsen its severity. Our study used diffusion kurtosis imaging (DKI) analyzed with tract-based spatial statistics to identify significant differences in DKI metrics in addition to measuring lesion volume in MS and Control patients with and without DM. We observed significantly increased diffusion and axial kurtosis and increased periventricular lesion volume in MS patients with DM compared to those without DM, indicating worsening inflammation and demyelination, suggesting that DM may serve as an exacerbating factor for worsening MS prognosis. |
| 2615 | Computer 88
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Change in thalamic cerebrospinal fluid fraction over the adult lifespan and correlation with TSPO PET imaging in multiple sclerosis patients |
| Thanh D. Nguyen1, Liangdong Zhou1, Yeona Kang2, Emily Demmon1, Michael Sakirsky1, Elizabeth M. Sweeney3, Yi Wang1, Yi Li1, and Susan A. Gauthier1 | ||
1Weill Cornell Medicine, New York, NY, United States, 2Howard University, Washington, DC, United States, 3University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Multiple Sclerosis, Neurofluids We applied FAST-T2 multi-component T2 relaxometry to 200 MS patients and 66 healthy controls and found that the thalamic cerebrospinal fluid fraction (CSFF) increases with age and follows a different trajectory in MS. In 13 MS patients, we also found a strong correlation between CSFF and [11C]PK11195 uptake on PET in the thalamus and putamen, suggesting a connection between glymphatic dysfunction and microglial inflammation in the MS brain. |
| 2616 | Computer 89
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Dual-Task Gait Predicts Changes in Choline in the Primary Motor Cortex of Older Individuals with Mild Cognitive Impairment |
| Jack TE Elkas1, Frederico Pieruccini-Faria2, Manuel Montero-Odasso2, and Robert Bartha3 | ||
1Neuroscience Department, Western University, London, ON, Canada, 2Gait and Brain Lab, Parkwood Institute and Lawson Health Research Institute, London, ON, Canada, 3Department of Medical Biophysics and Robarts Research Institute, Schulich School of Medicine and Dentistry, London, ON, Canada |
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Keywords: Dementia, Spectroscopy, Neuroinflammation, Dementia, Aging, Brain, Degenerative, Dementia, Neurodegeneration The dual-task cost on walking speed (DTC) can predict the progression of dementia in people with mild cognitive impairment (MCI). In MCI, levels of choline in the primary motor cortex, an MRS metabolite associated with inflammation, |
| 2617 | Computer 90
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Diffusion tensor imaging study of white matter differences between autoimmune encephalitis and viral encephalitis |
| Qingrui Li1, Xiarong Gong2, Qiu Bi2, Yunzhu Wu3, and Kunhua Wu2 | ||
1Kunming University of Science and Technology, Kunming, China, 2the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China |
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Keywords: Neuroinflammation, Diffusion Tensor Imaging, encephalitis In this study, diffusion tensor imaging (DTI) analysis based on Tract-based spatial statistics (TBSS) was used to investigate the microstructural changes of white matter (WM) in viral encephalitis (VE) and autoimmune encephalitis (AE). The study found that WM injury degree in patients with VE and AE was different. The DTI parameters can separate AE, VE and healthy control group. The study results indicate that DTI could serve the function of early diagnosing and distinguishing AE from VE, and provide imaging evidence for the pathophysiological changes of WM in AE and VE patients. |
| 2618 | Computer 91
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Deep multiple sclerosis lesion phenotyping using multimodal quantitative MRI |
| Giacomo Boffa1, Simona Schiavi1, Francesco Tazza1, Caterina Lapucci2, Gian Franco Piredda3,4,5, Domenico Zacà6, Luca Roccatagliata7, Tom Hilbert3,4,5, Tobias Kober3,5,8, Matilde Inglese1, and Mauro Costagli1,9 | ||
1Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy, 2Laboratory of Experimental Neurosciences, IRCCS Ospedale Policlinico San Martino, Genoa, Italy, 3Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6Siemens Healthcare, Milan, Italy, 7Department of Neuroradiology, Health Sciences, University of Genoa, Genoa, Italy, 8Lausanne University Hospital and University of Lausanne, Department of Radiology, Luasanne, Switzerland, 9IRCCS Stella Maris, Pisa, Italy |
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Keywords: Multiple Sclerosis, Multi-Contrast Quantitative MRI has the potential to disentangle the heterogeneity of multiple sclerosis (MS) lesions in vivo, which can be decisive for treatment and monitoring. In this study, we distinguished different types of MS lesions based on quantitative susceptibility mapping (QSM) and characterized them using T1 relaxometry, diffusion imaging and myelin mapping. We identified four types of lesions (hypo/isointense, homogeneous hyperintense, inhomogeneous hyperintense and paramagnetic rim), which were characterized by increasing degrees of axonal and myelin disruption. Paramagnetic rim lesions were closer to the ventricular CSF, corroborating the presence of a noxious activity of CSF in MS pathology. |
| 2619 | Computer 92
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Enlarged choroid plexus volume in multiple sclerosis is related with disability, cognition and brain atrophy |
| Samantha Noteboom1, Jelle J. Vellema1, Martijn D. Steenwijk1, Helga E. de Vries2, Frederik Barkhof3,4, Joep Killestein5, Eva M. M. Strijbis5, and Menno M. Schoonheim1 | ||
1MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 2Department of Molecular Cell Biology and Immunology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 3MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 4Institutes of Neurology and Healthcare Engineering, UCL London, London, United Kingdom, 5MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands |
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Keywords: Multiple Sclerosis, Neuroinflammation Enlargement of the choroid plexus (ChP) has been recently suggested in multiple sclerosis (MS), but relations with clinical and MRI outcome measures remain unclear. In this study, we compared automated segmentation approaches to assess ChP volume on 3D-T1 to manual outlines. Next, ChP volume was assessed in 327 patients with MS and 78 healthy controls. Gaussian Mixture Modelling (GMM)-based segmentation showed best agreement with manual segmentations in MS and controls. Enlargement of ChP was observed in MS compared to controls, and was associated with worse physical disability and cognitive impairment and more severe brain, cortical and thalamic atrophy. |
| 2620 | Computer 93
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Examining T2* Relaxometry in Diffusion Tensor Space to Quantify Cerebral Microbleeds in Alzheimer’s Disease Mouse Model |
| Emani Hunter1, Lesley Foley2, Yifan Zhao1, Howard Aizenstein1,3, Minjie Wu1,3, and Bistra Iordanova1 | ||
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Animal Imaging Center, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States |
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Keywords: Alzheimer's Disease, Relaxometry, Diffusion Tensor Imaging Cerebral microbleeds are morphologic changes contributing to the progression of Alzheimer’s Disease and vascular dementias. However, the effects of microbleeds on brain connectivity across age and sex remain to be understood. In this study, we performed T2* mapping, that was registered to a DTI space to measure diffusion changes in microbleed locations. R2* and diffusion tensor indices demonstrate an inverse relationship, where diffusion is low and R2* rates are high. Our results suggest that microbleeds decrease water diffusion in the brain possibly due to increased neuroinflammation and hemosiderin accumulation, shedding light on abnormal tissue structure in Alzheimer’s disease subjects. |
| 2621 | Computer 94
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Cortical demyelination in chronic post-traumatic stress disorder: A study of World Trade Center responders |
| Juin W. Zhou1, Chuan Huang1,2, Kritikos Minos3, Sean A.P. Clouston3, Megan K. Horton4, Roman Kotov5, Roberto G. Lucchini6,7, Evelyn J. Bromet5, and Benjamin J. Luft8,9 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Radiology, Renaissance School of Medicine, Stony Brook, NY, United States, 3Family, Population, and Preventative Medicine, Renaissance School of Medicine, Stony Brook, NY, United States, 4Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Psychiatry, Renaissance School of Medicine, Stony Brook, NY, United States, 6Environmental Health Sciences, Florida International University, Miami, FL, United States, 7Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy, 8Medicine, Renaissance School of Medicine, Stony Brook, NY, United States, 9Stony Brook WTC Wellness Program, Renaissance School of Medicine, Stony Brook, NY, United States |
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Keywords: Neurodegeneration, Psychiatric Disorders World Trade Center (WTC) responders are at mid-life, with 23% presenting with chronic post-traumatic stress disorder (PTSD). Epidemiologic studies suggest that chronic PTSD is associated with psychomotor slowing and physical functional limitations consistent with intracortical neuroinflammation. Prior neuroimaging has suggested that chronic PTSD is associated with glial activation and reduced cortical complexity, as well as neurodegeneration in the hippocampus and anterior cingulate, suggestive of PTSD-induced cortical neuropathology. Hypothesizing that these results might reduce intercortical density, we evaluated intercortical demyelination in WTC responders with chronic PTSD. We used gray-white contrast purported to measure cortical demyelination and, by extension, interneuronal health. |
| 2622 | Computer 95
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Dynamic dextran-enhanced CEST MRI reveals the size effect of BBB disruption associated with neuroinflammation |
| Safiya Aafreen1, Wenshen Wang2,3, Jiadi Xu2,3, Peter CM van Zijl2,3, Aline Thomas2, Jeff WM Bulte1,2,3,4, and Guanshu Liu2,3 | ||
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 2Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 4Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Contrast Agent, Molecular Imaging, Blood-Brain Barrier; Multiple Sclerosis Prevailing imaging methods primarily focus on detecting blood-brain barrier (BBB) dysfunction utilising tracers of small molecular weight. Robust imaging methods suitable for assessing BBB permeability in the macro-molecular size range are still lacking. Our study aimed to develop and optimize a dextran-based MRI approach for detecting size-dependent BBB permeability. Demonstrated in an EAE MS mouse model, we established a dextran-based CEST MRI protocol for measuring the intracerebral distribution of non-labeled dextrans, validated the results using immunohistochemistry, and compared the CEST MRI results with conventional Gd-enhanced MRI. |
| 2623 | Computer 96
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Longitudinal quantitative MRI changes in normal-appearing brain tissue of patients with multiple sclerosis |
| Alessandro Cagol1,2,3, Mario Ocampo-Pineda1,2,3, Lester Melie-Garcia1,2,3, Po-Jui Lu1,2,3, Muhamed Barakovic1,2,3, Matthias Weigel1,2,3,4, Xinjie Chen1,2,3, Antoine Lutti5, Thanh D. Nguyen6, Yi Wang6, Jens Kuhle2,3, Ludwig Kappos1,2,3, and Cristina Granziera1,2,3 | ||
1Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Department of Neurology, University Hospital Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 4Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 5Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 6Department of Radiology, Weill Cornell Medical College, New York, NY, United States |
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Keywords: Multiple Sclerosis, Quantitative Imaging We explored the value of multiple longitudinal quantitative MRI (qMRI) measures in detecting microstructural changes occurring in normal-appearing tissue of patients with multiple sclerosis (PwMS). While no differences in qMRI longitudinal changes were measured between PwMS and healthy controls, progressive PwMS showed accelerated T1-relaxometry increase in normal-appearing tissue with respect to both healthy controls and relapsing-remitting PwMS, reflecting increased micro/macrostructural damage. In PwMS the rates of qMRI changes during follow-up were associated with the severity of clinical disability, with higher neurological impairment being associated with qMRI changes reflecting accelerated micro/macrostructural damage, demyelination, and axon/dendrite loss. |
| 2624 | Computer 97
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Preserved white matter integrity despite changes in brain structure and metabolism in mouse with lethal irradiation and bone marrow transplant |
| Min-Hui Cui1, Roman Fleysher1, Lidiane Torres2, Kamalakar Ambadipudi1, and Craig A. Branch1 | ||
1Radiology/Gruss MRRC, Albert Einstein College of Medicine, Bronx, NY, United States, 2Cell Biology, Albert Einstein College of Medicine, Bronx, NY, United States |
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Keywords: White Matter, Transplantation, white matter, spectroscopy, irradiation, animal Adult cells from transplanted bone marrow can generate new neurons in central nervous system (CNS) in rodent and human. Here we report for the first time in live mouse that white matter integrity in lethally irradiated mouse transplanted with adult mouse bone marrow (BMTX) is preserved, reflected in increased fractional anisotropy (FA) of corpus callosum post BMTX. Stable concentration of N-acetyl-aspartate (NAA) and increased FA after BMTX suggests that donor cells along with irradiation may stimulate new neuronal proliferation. Nevertheless, decreased myo-inositol concentration may reflect its cell volume regulation function as seen in morphometric adjustments in BMTX brains. |
| 2625 | Computer 98
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MRI characterization of a mouse model of Staphylococcus aureus infection |
| Hannah Goldman1, Katherine Le2, Orlando Aristizabal1, Matias Aristizabal1, Mia Weissman1, Victor Torres2, and Youssef Zaim Wadghiri1 | ||
1Radiology, NYU Langone Health, New York, NY, United States, 2Microbiology, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: Infectious disease, Preclinical Staphylococcus aureus is of particular concern due to the deaths associated with antimicrobial resistance and the emergence of antibiotic-resistant strains. There is not currently a vaccine as translation from preclinical models to humans has been unsuccessful. Acquiring reproducible and comparable spinal images that offer non-invasive visualization of the extent and impact of the infection are important for successful intervention or vaccine development. 3D-printed, MRI-compatible cradles enable reproducible positioning and analysis for both in vivo and ex vivo MR spinal imaging in mouse models while allowing for nondestructive analysis of the potential additional benefits to visualization associated with ex vivo MEMRI. |
| 2626 | Computer 101
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The effects of magnetization transfer on fast and slow diffusion compartments in myelinated white matter |
| Chenyang Li1,2, Els Fieremans1, Dmitry S. Novikov1, and Jiangyang Zhang1 | ||
1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: White Matter, Contrast Mechanisms Myelin, although not directly visible in conventional diffusion MRI (dMRI) due to its short T2, still affects the dMRI signal indirectly through exchange processes with nearby water compartments. In this study, we investigated how a magnetization transfer (MT) preparation affects dMRI signals, in particular, the fast and slow diffusion compartments in myelinated white matter of ex vivo mouse brain. Our result demonstrated that the MT preparation altered the volume fractions, but not the diffusivities, of the fast and slow compartments. Examining the change in volume fractions with MT preparation can provide insights into exchange processes involving myelin and water compartments. |
| 2627 | Computer 102
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The myelin water imaging transcriptome: myelin water fraction regionally varies with genes associated with oligodendrocytes |
| Jaimie Lee1,2, Hanwen Liu3, Cornelia Laule2,4,5,6, Catrina Loucks1,7,8, and John Kramer1,2 | ||
1Department of Pharmacology, Anesthesiology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 4Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 5Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 7Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada, 8BC Children's Hospital Research Institute, Vancouver, BC, Canada |
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Keywords: White Matter, Relaxometry, myelin, transcriptome, myelin water fraction, myelin water imaging, gene expression, microstructure Our objective for this study was to determine the relationship between regional variations in myelin water imaging (MWI) and gene expression – a “MWI transcriptome”. Regional variations in myelin water fraction (MWF) from a normative MWF atlas were examined in a correlation analysis with gene expression data retrieved from the Allen Human Brain Atlas. Genes that significantly covaried with MWF were involved in lipid metabolism and binding, and were enriched for myelin terms (e.g., oligodendrocytes). This preliminary work highlights the utility of an imaging transcriptomic approach and further supports MWI as a robust in vivo measure of myelin. |
| 2628 | Computer 103
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Myelin water fraction mapping using relaxation spectra from steady-state gradient echo imaging with partial RF spoiling |
| Tony Stöcker1,2, Rüdiger Stirnberg1, Difei Wang1, Philipp Ehses1, and Eberhard Pracht1 | ||
1German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 2Department of Physics & Astronomy, University of Bonn, Bonn, Germany |
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Keywords: White Matter, Modelling, Myelin A new approach for myelin water fraction (MWF) mapping is presented, based on gradient echo signals with small RF spoiling phase increments. Partially spoiled gradient echo data with 20 different phase increments ($$$|\Delta\phi|\le20^\circ$$$) were efficiently acquired with a custom skipped-CAIPI 3D-EPI sequence. The data is well-suited for a novel joint-fitting approach of $$$T_1$$$- and $$$T_2$$$-spectra, from which high-quality whole-brain MWF maps are derived. MWF-maps show qualitatively good agreement with published data in the white matter (WM). Additionally, the approach seems to provide robust estimates in regions with small MWF, such as the gray matter (GM). |
| 2629 | Computer 104
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TR effect on Myelin Water Imaging |
| Jing Zhang1, Suchandrima Banerjee2, and Alexander L. MacKay3 | ||
1Global MR Applications & Workflow, GE Healthcare, Vancouver, BC, Canada, 2Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA, United States, 3Department of Radiology, University of British Columbia, Vancouver, BC, Canada |
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Keywords: White Matter, White Matter, myelin water imaging Myelin water fraction (MWF) is conventionally measured using the T2 decay curve. For a spin-echo based sequence, the repetition time (TR) is limited by SAR. Most MWF studies have been carried out at 3T; but a 1.5T system has lower power deposition, which enables MWF imaging at lower TRs. Shorter TR will also reduce the total scan time. In this work, we performed myelin water imaging on a 1.5T system to investigate the effect of shorter TR on this technique. This work demonstrated increased MWF in human brain in vivo with decreasing TR. |
| 2630 | Computer 105
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Myelin Water Atlas Template derived from Quantitative Parameter Mapping |
| Yuki Kanazawa1, Shun Kitano1, Masafumi Harada1, Yo Taniguchi2, Yuki Matsumoto1, Hiroaki Hayashi3, Kosuke ito2, Yoshitaka Bito2, and Akihiro Haga1 | ||
1Tokushima University, Tokushima, Japan, 2FUJIFILM Healthcare Corporation, Tokyo, Japan, 3Kanazawa University, Kanazawa, Japan |
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Keywords: White Matter, Relaxometry We generated a myelin water atlas template derived from QPM. Imaging data were acquired using a multi-gradient-echo sequence for QPM. All the data in the 48 white matter regions measured in the volume-of-interest were plotted, and quadratic polynomial equations of each region were derived from the relationship between R1·R2* and the two-component model-MWF. As a result, the relationship between R1·R2* and MWF showed a strong significant correlation for all of the white matter regions (R2 ≥ 0.963, P < 0.0001). Our myelin water atlas template derived from QPM can be used as a reference to demonstrate areas of demyelinating disease. |
| 2631 | Computer 106
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Associations between gait speeds and myelin content in cognitively unimpaired adults using multicomponent relaxometry |
| Mary E. Faulkner1, John P. Laporte1, Elango Palchamy2, Zhaoyuan Gong1, Curtis Triebswetter1, Matthew Kiely1, M.A.B.S. Akhonda1, Luigi Ferrucci2, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, United States, 2Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, United States |
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Keywords: White Matter, Relaxometry Abnormal gait speed is a reliable indicator of the progression of age-related neurodegenerations. However, the association between gait speed and myelin content remains unclear. We used multicomponent MR relaxometry of myelin water fraction (MWF) and longitudinal and transverse (R1 and R2) relaxation rates to investigate the association between cerebral myelination and usual or rapid gait speeds in cognitively unimpaired adults spanning a wide age range. Our results indicate that lower myelin content is associated with lower gait speed across several while matter structures. |
| 2632 | Computer 107
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Cortical thickness and white matter integrity abnormalities in dysthyroid optic neuropathy |
| Mengsha Zou1, Hongzhang Zhu1, Yunzhu Wu2, and Zhiyun Yang1 | ||
1Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, China, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China, Shanghai, China |
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Keywords: White Matter, Brain A pilot study to examine the structural MRI features of patients with dysthyroid optic neuropathy (DON) as compared to normal controls, and correlate pathologic MRI changes to clinical symptoms of the disease. DON patients show reduced cortical volume in precuneus and occipital pole, decrease area in precuneus and precentral gyrus, and widespread decreased FA value, mainly in genu of corpus callosuma and body of corpus callosum. Meanwhile, the FA of was associated with visual acuity. Our study provides a new insight of pathological mechanism of DON. |
| 2633 | Computer 108
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Sensitivity of magnetic resonance elastography to white matter alterations in a rat model of Fetal Alcohol Spectrum Disorders |
| Katrina A. Milbocker1, L. Tyler Williams2, Ian F. Smith1, Diego A. Caban-Rivera2, Samuel Kurtz3,4, Matthew D.J. McGarry5, Elijah Van Houten4, Curtis L. Johnson1,2, and Anna Y. Klintsova1 | ||
1Dept. of Psychological & Brain Sciences, University of Delaware, Newark, DE, United States, 2Dept. of Biomedical Engineering, University of Delaware, Newark, DE, United States, 3Laboratorie de Mécanique et Génie Civil, CNRS, Université de Montpellier, Montpellier, France, 4Département de Génie Mécanique, Université de Sherbrooke, Sherbrooke, QC, Canada, 5Thayer School of Engineering, Dartmouth College, Hanover, NH, United States |
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Keywords: White Matter, Preclinical Magnetic resonance elastography (MRE) produces spatially-resolved maps of brain tissue mechanical properties by estimating parameters, such as stiffness and viscosity, via inverse solution of the underlying equations of motion. When measured in the brain, estimated properties from MRE detect effects of disease or interventions with high fidelity and relate to functional outcomes, making it a potentially invaluable technique in neuroradiology. Application of MRE in white matter (WM) tracts is limited. To evaluate the sensitivity of MRE to WM alterations, this study compared values of total brain stiffness and damping ratio derived from MRE scanning of rats with impaired WM development. |
| 2634 | Computer 109
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Comparative evaluation of DKI and DTI in detecting white matter microstructural alterations in early-blind adolescents |
| Zhifeng Zhou1, Long Qian2, Gangqiang Hou1, Wentao Jiang1, and Xia Liu1 | ||
1Shenzhen Mental Health Center/Shenzhen Kangning Hospital, Shenzhen, China, 2GE Healthcare, Beijing, China |
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Keywords: White Matter, Adolescents Blind people is a natural bio-model for the investigation of neural plasticity. Diffusion-based MRI techniques are powerful probes for characterizing the effects of disease and neural development on tissue microstructure. This study compared diffusion Kurtosis Imaging (DKI) metrics and diffusion tensor imaging (DTI) metrics to explore white matter microstructural changes and neural plasticity in early-blind adolescents (EBAs). The results demonstrate microstructural complexity reduction and coexistence of neural reorganization and compensatory development process induced by visual deprivation in EBAs. And the DKI metrics are more sensitive in detecting changes in crossing fibers and pathology and development of disease than DTI metrics. |
| 2635 | Computer 110
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Microstructural neuroimaging using spherical convolutional neural networks |
| Leevi Kerkelä1, Kiran Seunarine2, Filip Szczepankiewicz3, and Chris A. Clark1 | ||
1UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 2Great Ormond Street Hospital, London, United Kingdom, 3Clinical Sciences Lund, Lund University, Lund, Sweden |
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Keywords: White Matter, Machine Learning/Artificial Intelligence We present a novel framework for estimating microstructural parameters of compartment models using recently developed orientationally invariant spherical convolutional neural networks and efficiently simulated training data. The networks were trained to predict the ground-truth parameter values from simulated noisy data and applied on imaging data acquired in a clinical setting to generate microstructural maps. Our network could estimate model parameters more accurately than conventional non-linear least squares or a multi-layer perceptron applied on powder-averaged data (i.e., the spherical mean technique). |
| 2636 | Computer 111
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Bright light therapy increases myelin density in posterior thalamic radiation in young adults with subthreshold depression: An ihMT MRI study |
| Guanmao Chen1, Guixian Tang1, Long Qian2, and Ying Wang1 | ||
1First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: White Matter, Magnetization transfer Subthreshold depression (SD) is a significant risk indicator of major depressive episodes. This study used the inhomogeneous magnetization transfer (ihMT) technique to probe myelin abnormalities and its response to bright light therapy (BLT) in SD. The findings of this study suggest the macromolecular disruption of myelin in the posterior thalamic radiation, sagittal stratum, and uncinate fasciculus in the early stages of depression. Furthermore, the myelin impairments in the PTR could be reversed by BLT, thus suggesting they might be used as the potential neural target for BLT in SD. |
| 2637 | Computer 112
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Alterations in white matter integrity of the pain modulatory system in patients with fibromyalgia |
| Yu-Ting Huang1, Ting-Chun Lin2, Yao-Wen Liang2, You-Yin Chen2,3, Jiunn-Horng Kang4,5,6, and Yu-Chun Lo3 | ||
1Department of Medicine, Taipei Medical University, Taipei, Taiwan, 2Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Ph.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, 4College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan, 5Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan, 6Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei, Taiwan |
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Keywords: White Matter, Diffusion Tensor Imaging The relationship between abnormal pain sensation and alterations in the central nervous system of fibromyalgia patients is unknown. In this study, diffusion tensor imaging was used to systematically investigate the alterations in white matter tracts of the pain modulatory pathways. The findings revealed the altered integrity of spinothalamic tract-thalamus, thalamus-insula tracts, tracts connected thalamus, midbrain and pons, were associated with the physical and psychological dysfunction in patients with fibromyalgia. |
| 2638 | Computer 113
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Automatic detection of cognitive impairment in patients with White matter hyperintensity based on deep learning and radiomics of MRI |
| Junbang Feng1, Qingqing Zheng2, Yuwei Xia3, Shi Feng 3, Qing Zhou3, Hang Yin1, Shike Wang2, and Chuanming Li1 | ||
1Medical Imaging Department, Chongqing University Central Hospital, Chongqing, China, 2The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China, 3Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China |
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Keywords: White Matter, Machine Learning/Artificial Intelligence White matter hyperintensity (WMH) is common in the aging brain, which is associated with cognitive decline and dementia. At present, there is still no objective method for early detection of cognitive impairment from these populations. In this study, deep learning and radiomics techniques were used to automatically segment and extract the characteristics of WMH and other regional brain tissues, and models were established to detect mild cognitive impairment. |
| 2639 | Computer 114
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Episodic menstrual migraine patients exhibit white matter microstructural changes compared to hormonal controls |
| Ana R Fouto1, Rita G Nunes1, Irene Guadilla1,2, Amparo Ruiz-Tagle1, Inês Esteves1, Gina Caetano1, Nuno A Silva3, Pedro Vilela4, Raquel Gil-Gouveia5,6, and Patrícia Figueiredo1 | ||
1Institute for Systems and Robotics - Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2Universidad Autónoma de Madrid, Madrid, Spain, 3Learning Health, Hospital da Luz, Lisbon, Portugal, 4Imaging Department, Hospital da Luz, Lisbon, Portugal, 5Neurology Department, Hospital da Luz, Lisbon, Portugal, 6Center for Interdisciplinary Research in Health, Universidade Católica Portuguesa, Lisbon, Portugal |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques, Migraine Migraine is one of the most prevalent brain disorders worldwide. Although features extracted from diffusion MRI have been suggested to hold potential as disease biomarkers, research outputs remain inconsistent across studies. We investigated voxelwise microstructural alterations in episodic menstrual migraine patients (interictal phase) and appropriate hormonal controls (post-ovulation) by comparing diffusion-tensor and diffusion-kurtosis imaging metrics. Moreover, we extracted histogram measures (median, peak height, width, and value for each metric); and we evaluated their relationship with clinical factors (disease duration, attack frequency and pain intensity). Several metrics revealed significant differences between groups, indicating that they may be potential disease biomarkers. |
| 2640 | Computer 115
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THE RELATIONSHIP BETWEEN VASCULAR REACTIVITY AND MICROSTRUCTURAL WHITE MATTER INTEGRITY IN DUTCH-TYPE CEREBRAL AMYLOID ANGIOPATHY |
| Manon Roxanne Schipper1, Naomi Vlegels2,3, Sabine Voigt1,4, Thijs W. van Harten1, Alberto de Luca2,5, Ingeborg Rasing4, Geert Jan Biessels2, Matthias J.P. van Osch1, Marianne A.A. van Walderveen1, and Marieke J.H. Wermer4 | ||
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands, 3LMU Klinikum, München, Germany, 4Neurology, Leiden University Medical Center, Leiden, Netherlands, 5Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: White Matter, Diffusion Tensor Imaging, PSMD Vascular reactivity is an early marker of Cerebral Amyloid Angiopathy (CAA), but its relation to structural brain damage remains unclear. We aimed to study this relationship in Dutch-type CAA (D-CAA; genetic form of CAA): vascular reactivity and microstructural white matter integrity were studied through visually stimulated fMRI and ‘Peak width Skeletonized Mean Diffusivity (PSMD)’. Reduced BOLD amplitude, delayed time to peak, and delayed time to baseline were significantly related to a higher PSMD (β=-1.15e-02, β =1.08e-05, β=8.64e-06, respectively). These results indicate that vascular reactivity and microstructural white matter integrity may deteriorate hand-in-hand in D-CAA. |
| 2641 | Computer 116
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Remodeling of White Matter Caused by Sickle Cell Disease |
| Clio Gonzalez-Zacarias1, SoYoung Choi2, Anand A. Joshi1, Richard M. Leahy1, and John C. Wood3 | ||
1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Department of Pediatrics and Radiology, Children's Hospital Los Angeles, USC, Los Angeles, CA, United States |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques, Sickle Cell Disease Sickle cell disease (SCD) is characterized by the presence of different degrees (mild, moderate, or severe) of chronic anemia (quantified by hemoglobin values). Alterations in WM were assessed by performing a voxel-wise analysis in the fractional anisotropy (FA, i.e., overall directionality of water diffusion), mean diffusivity (MD) and their kurtosis analogous (FAK and MK) maps. Surprisingly, when controlling for log-age, sex and hemoglobin, MK showed bigger derangements in the watershed areas than other measurements like FA and FAK despite of controlling for Hb measurements. |
| 2642 | Computer 117
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Comparison of Myelin Water Imaging from Multi-echo T2 Decay Curve and Myelin Content from Synthetic MRI |
| Jing Zhang1, David Shin2, and Suchandrima Banerjee2 | ||
1Global MR Applications & Workflow, GE Healthcare, Vancouver, BC, Canada, 2Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA, United States |
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Keywords: White Matter, Brain, myelin water imaging, Synthetic MRI, Myelin Imaging myelin has long been a target in neuroimaging. Several MR techniques have been developed for in vivo measurement of myelin content. Myelin water fraction (MWF) from multi-echo T2 decay curve has been shown to be a reliable marker for myelin. Myelin content using quantitative synthetic MRI (SyMRI) has also been used to quantify myelin in the brain. In this work, we performed 3D GRASE and SyMRI (using multi-contrast 3D gradient echo) to estimate the myelin correlations between these two techniques. This work will provide guidance for future studies using myelin imaging techniques. |
| 2643 | Computer 118
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Two clinically feasible myelin water imaging methods (MCR-DIMWI and METRICS) can differentiate patients with a leukodystrophy from controls. |
| Menno D Stellingwerff1, Murtadha L Al-Saady1, Kwok-Shing Chan2, Adam Dvorak3, José P Marques2, Shannon Kolind3, Marjo S van der Knaap1, and Petra JW Pouwels4 | ||
1Department of Pediatric Neurology, Amsterdam UMC, Amsterdam, Netherlands, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 3Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 4Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: White Matter, Genetic Diseases, Leukodystrophy Imaging biomarkers are needed for studying white matter (WM) diseases. Myelin water imaging (MWI) uses multi-compartment relaxometry to estimate myelin content, and is promising for use in leukodystrophies. We applied MCR-DIMWI and METRICS, two novel whole-brain MWI techniques, to a cohort of 9 leukodystrophy patients and 15 controls. Myelin water fractions (MWFs) from both techniques correlated well. In patients, MWF was decreased. For both techniques region-specific MWFs and relaxation metrics could differentiate patients from controls. They are promising for use in the context of leukodystrophies; additional studies are required to further explore potential clinical application. |
| 2644 | Computer 119
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Quantification of myelination in Children with Attention-deficit/hyperactivity Disorder: A Comparative Assessment with Synthetic MRI and DTI |
| liping lin1, Yingqian chen1, Yan Dai1, yan zi1, Mengsha zou1, Long qian2, Meina Liu3, Hongyu zhang3, Zhiyun yang1, and Shu su1 | ||
1Department of Radiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, Guangzhou, China, 2Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, Beijing, China, 3Department of Pediatric, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, Guangzhou, China |
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Keywords: White Matter, White Matter, attention-deficit/hyperactivity disorder, Synthetic MRI, myelin volume fraction, myelin volume, diffusion tensor imaging, Children. Evaluation of myelin content is crucial for attention-deficit/hyperactivity disorder (ADHD) and other neurodevelopmental disorders. Diffusion tensor imaging (DTI) is a usual tool to assess white matter structural change in ADHD but it’s indirectly. Synthetic MRI–based (SyMRI-based) method, as a suitable quantitative technique, can investigate myelin content through quantifying whole-brain myelin volume fraction (MVF) and myelin volume (MYV). We aim to evaluate myelin estimation using SyMRI–based method and compared it with established DTI metrics in ADHD children. |
| 2645 | Computer 120
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Quantitative synthetic MRI reveals white matter alterations in patients with beta-thalassemia |
| Xi Deng1, Meiru Bu1, Meiqing Wu2, Wei Cui3, Long Qian3, Zisan Zeng1, and Muliang Jiang1 | ||
1Radiology Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Hematology Department of The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China |
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Keywords: White Matter, Blood, Beta-thalassemia Beta-thalassemia (β-TM) is a genetically haematological disorder leading to reduced production of hemoglobin. Yet its alterations in white matter (WM) microstructure remain unclear. The present study aimed to analyze quantitative MRI parameters of WM in β-TM patients using synthetic MRI. The results showed that T1, T2 and T1/T2 ratio of widespread WM areas were affected by β-TM, which may be related to iron deposition and decrease of myelin concentration. Thus, we concluded that WM alterations in β-TM patients can be revealed by quantitative MRI parameters. |
| 2646 | Computer 121
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Central Thalamic Intermittent Theta-Burst Stimulation Ameliorated Memory Impairment in Alzheimer's Disease Mouse Model |
| Yi-Chen Lin1, Ssu-Ju Li1, Yu-Chun Lo2, Ting-Chieh Chen1, Ching-Wen Chang1, Tsai-Yu Cho1, Mu-Hua Wang1, Ching-Te Chen3, Sheng-Huang Lin4,5, and You-Yin Chen1,2 | ||
1Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2PhD Program in Medical Neuroscience, Taipei Medical University, Taipei, Taiwan, 3Abbott Neuromodulation, Austin, TX, United States, 4Department of Neurology, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan, 5Department of Neurology, Tzu Chi University, Hualien, Taiwan |
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Keywords: Alzheimer's Disease, fMRI, Intermittent theta-burst stimulation (iTBS) Intermittent theta-burst stimulation (iTBS) has been hypothesized to be a more effective paradigm for deep brain stimulation (DBS) in treating various neurological disorders by altering neuronal circuits. However, the effect of iTBS in improving memory deficits in AD patients remains unknown. Combining iTBS in central thalamus (CT-iTBS) with functional magnetic resonance imaging, our results demonstrated the restoration of brain functional connectivity (FC) in corticolimbic circuit of AD mice model, accompanied with enhancing memory cognitive function in novel object recognition test and T-maze test. These results revealed that CT-iTBS could be an effective treatment for improving symptoms of individuals with AD. |
| 2647 | Computer 122
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Multi-parametric MRI Characterization of the Aging Squirrel Monkey as a Model of Sporadic Cerebral Amyloid Angiopathy |
| Youssef Z Wadghiri1, Jelle Veerart1, Sean Murray1, Jakub Szabo1, Carolyn Akers1, Thomas Genovese1, Hannah Goldman1, Jonathan Leung1, Charles V Kingsley 2, Henry Rusinek1, Stanton Gray2, William Donald Hopkins2, Thomas Wisniewski1, and Henrieta Scholtzova1 | ||
1NYU Grossman School of Medicine, New York, NY, United States, 2UT - MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Alzheimer's Disease, Aging, Non human primate The current study seeks to identify neuroimaging biomarkers in a unique squirrel monkey (SQM) as a spontaneous model of cerebral amyloid angiopathy both in vivo and ex vivo using conventional MRI metrics in young and geriatric SQM cohorts and demonstrate the utility of quantitative R2* to map age-related differences in SQM neuropathology cross-sectionally and longitudinally. |
| 2648 | Computer 123
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4D Oxy-wavelet MRI and Graph Theory in APOE KO mice: A new perspective into the role of mitochondria and brain connectivity |
| Devin Raine Everalo Cortes1,2,3,4, Margaret C. Stapleton2,4, Samuel Wyman2,4, Kristina E. Schwab5,6, Noah W. Coulson2,7, Dalton R West2,4, Thomas Becker-Szurszewski5,6, Sean Hartwick5,6, Anthony G. Christodoulou8, and Yijen L Wu2,3,4,9 | ||
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States, 4Rangos Research Center Small Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 5Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 6Department of Pediatrics, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States, 7Rangos Research Center Small Animal Imaging Core, University of Pittsburgh, Pittsburgh, PA, United States, 8Biomedical Imaging Research Institue, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 9Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States |
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Keywords: Alzheimer's Disease, Brain Connectivity, Metabolism, fMRI Apolipoprotein E (APOE) alleles are strong genetic risk factors for the Late-Onset-Alzheimer’s Disease (LOAD). In this study we utilize our novel 4D Oxy-wavelet functional MRI to study the bioenergetic footprint of APOE knockout (KO) mice compared to wild type (WT) mice. We have created neuronal networks in mice defined by bioenergetic dispersion throughout the whole brain, and demonstrated key differences between APOE KO and WT. We further validate our oxywavelet index for probing mitochondrial function non-invasively and present new signal processing methods for relevant biomarker extraction. |
| 2649 | Computer 124
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CADASIL mice are characterized by simultaneous metabolic and vascular stress |
| Zhiliang Wei1,2, Yuguo Li1,2, Lin Chen3, Hongshuai Liu4, Minmin Yao4, Jiadi Xu1,2, Angeliki Louvi5, Wenzhen Duan4,6, and Hanzhang Lu1,2,7 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Electronic Science, Xiamen University, Xiamen, China, 4Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Departments of Neurosurgery and Neuroscience, Yale School of Medicine, New Haven, CT, United States, 6The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Dementia, Animals Vascular cognitive impairment and dementia (VCID) is the second leading cause of dementia and is often mixed with other pathologies. Related mouse models with relatively pure vascular pathologies are used for mechanistic studies or therapeutic trials. CADASIL (Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy) is a monogenic condition causing lacunar strokes and vascular dementia. Using the established mouse model of CADASIL, we aimed to investigate potential microvascular dysfunctions with advanced non-contrast MRI techniques. We found that CADASIL mice displayed elevated oxygen consumption and impaired cerebrovascular reactivity, suggesting simultaneous metabolic and vascular stress. |
| 2650 | Computer 125
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Metabolic Imaging using Chemical Exchange Saturation Transfer in Rat Transgenic Model of Alzheimer’s Disease Comorbid with Metabolic Syndrome |
| Dustin Loren Velasco Almanza1,2, Wilfred Lam2, Margaret Koletar2, Mary Hill3, JoAnne McLaurin3,4, Greg Stanisz1,2, and Bojana Stefanovic1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Biological Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 4Laboratory Medicine and Pathology, University of Toronto, Toronto, ON, Canada |
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Keywords: Alzheimer's Disease, CEST & MT Our study characterized the hippocampal glucose uptake in an Alzheimer’s Disease rat model (TgF344AD) comorbid with metabolic syndrome modeled by cafeteria (CAF) diet. Glucose uptake was evaluated by detecting 2-deoxy-D-glucose (2DG) using chemical exchange saturation transfer (CEST) MRI in 6- and 12-month-old cohorts, reflecting pre-clinical and established disease stages, respectively. CAF diet attenuated glucose uptake of both non-transgenic and transgenic-AD at 6 months of age; whereas at 12 months of age, CAF diet enhanced the hippocampal glucose uptake of TgAD but attenuated it in chow-fed TgAD, when compared to that in correspondingly fed nTg littermates. |
| 2651 | Computer 126
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Decreased pH in the mouse brain of Alzheimer’s disease revealed by guanidinium and amide CEST at 3T |
| Kexin Wang1,2, Jianpan Huang3, Ziqin Zhang1,2, Kannie W. Y. Chan3,4, and Jiadi Xu2,4 | ||
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States, 3Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 4Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Alzheimer's Disease, CEST & MT, pH mapping Guanidinium CEST (GuanCEST) and amideCEST are highly sensitive to pH change, while their correlations with pH are opposite. Thus taking (unitless) difference of GuanCEST and amideCEST provides a reliable indicator for pH. Polynomial and Lorentzian line-shape fitting (PLOF) method helps extract the two CEST signals precisely, and the (unitless) difference shows a significant increase (p=0.008, n=10) in Alzheimer’s disease (AD) mouse brain compared with that of wild type mouse at 3T. Our results light up a novel and promising method to detect the onset of AD noninvasively, bringing the recent breakthrough in AD mechanism to further clinical application. |
| 2652 | Computer 127
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Effects of aquaporin-4 on neurovascular coupling and brain network in Alzheimer’s disease mice model |
| Jing Li1, Renyuan Liu1, Pin Lv1, and Bing Zhang1 | ||
1The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China |
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Keywords: Alzheimer's Disease, fMRI, neurovascular coupling Neurovascular uncoupling can be found in the early stage of AD continuum. The effect of AQP4 content on neurovascular coupling (NVC) in AD mice is unclear. Adult 5xFAD mice and wild-type mice were employed in this study. Mice received TGN-020, an AQP4 inhibitor, intraperitoneally. The results showed that 20 min after the injection of TGN-020, reduced ReHo in the basal area of the frontal lobe, a trend of reduced functional connectivities and disordered network properties were found among the AQP4-inhibited WT and 5xFAD mice. Therefore, Inhibition of AQP4 may reduce the NVC, and disorder the functional network. |
| 2653 | Computer 128
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Functional and Structural Connectivity in the TgF344-AD Transgenic Rat Model of Alzheimer's Disease using rs-fMRI & DTI at 21.1 T |
| Jenna M. Radovich1,2, Jordan Ogg3, Zachary Baty1,2, Aaron Wilber3, and Samuel Colles Grant1,2 | ||
1National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 2Chemical & Biomedical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL, United States, 3Psychology, Florida State University, Tallahassee, FL, United States |
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Keywords: Alzheimer's Disease, Brain Connectivity, Graph theory, Progressive Degeneration A hallmark of Alzheimer's Disease (AD) is spatial disorientation, such as getting lost in new locations. A potential cause is disrupted exchange between egocentric and allocentric reference frames, in which the parietal and retrosplenial cortex have roles. This study aimed to examine rs-fMRI and DTI in relationship with coordination between reference frames in a transgenic AD rat model. Behavioral and DTI data suggest that both age and genotype lead to declines in action-orientation performance with alterations appearing at 5 mon, and at 6 mon structurally with profound changes developing longitudinally across multiple ROI. |
| 2654 | Computer 129
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Hyperperfusion in middle-aged individuals with genetic risk of sporadic Alzheimer’s disease |
| Maria-Eleni Dounavi1, Elijah Mak1, Audrey Low1, Guy B Williams2, Katie Wells3, Graciela Muniz-Terrera3,4, Brian Lawlor5, Lorina Naci5, Paresh Malhotra6, Ivan Koychev7, Karen Ritchie8, Li Su1,9, Craig W Ritchie3, and John T O'Brien1 | ||
1Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 2Department of Clinical Neurosciences and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom, 3Centre for Dementia Prevention, University of Edinburgh, Edinburgh, United Kingdom, 4Ohio University, Athens, OH, United States, 5Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, United Kingdom, 6Division of Brain Science, Imperial College Healthcare NHS Trust, London, United Kingdom, 7Department of Psychiatry, University of Oxford, Oxford, United Kingdom, 8INSERM, Montpellier, France, 9University of Sheffield, Sheffield, United Kingdom |
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Keywords: Alzheimer's Disease, Arterial spin labelling Extensive brain hypoperfusion is well-established in people with Alzheimer’s disease (AD). However, mixed findings have emerged during the pre-symptomatic disease stage. In this study, we used arterial spin labelling (ASL) MRI in middle-aged, cognitively normal participants from the PREVENT-Dementia study to evaluate cerebral perfusion differences between carriers and non-carriers of the apolipoprotein ε4 (APOE4) allele. The ASL spatial coefficient of variation (CoV) was used as a proxy for arterial transit time (ATT) delays. We found hyperperfusion in APOE4 carriers which was not accompanied by increased spatial CoV, suggesting that the observed hyperperfusion is not driven by ATT delays. |
| 2655 | Computer 130
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Cascade of Perfusion and Brain Atrophy in Alzheimer’s Disease: A Longitudinal Study |
| Tony Zhou1, Zongpai Zhang2, Arvind Balachandrasekaran3, Cyrus A. Raji4, James T. Becker5, Lewis H. Kuller6, Yulin Ge7, Oscar L. Lopez8, Weiying Dai2, and H. Michael Gach1,9 | ||
1Radiation Oncology, Washington University School of Medicine, Saint Louis, MO, United States, 2Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 3Boston Children's Hospital, Boston, MA, United States, 4Radiology and Neurology, Washington University School of Medicine, Saint Louis, MO, United States, 5Psychiatry, Psychology, and Neurology, University of Pittsburgh, Pittsburgh, PA, United States, 6Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States, 7Radiology, New York University School of Medicine, New York City, NY, United States, 8Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 9Radiology and Biomedical Engineering, Washington University School of Medicine, Saint Louis, MO, United States |
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Keywords: Alzheimer's Disease, Arterial spin labelling We conducted a longitudinal study to determine if reduced temporoparietal and frontal cerebral blood flow (CBF) in elderly population leads to reduced gray matter volumes (GMVs) in the temporal lobe, or vice versa. We observed smaller GMVs in the temporal pole (TP) region in Alzheimer’s disease (AD) patients. We also found associations of: (1) the TP GMVs with subsequent temporoparietal CBF declines; (2) the TP CBF with its own subsequent GMV changes; and (3) the hippocampal GMVs with longitudinal frontal CBF declines. Hypoperfusion in the temporal lobe may be an early event driving atrophy, followed by temporoparietal and frontal hypoperfusion. |
| 2656 | Computer 131
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Elevated Carotid Pulse Wave Velocity is associated with Cognitive Impairment and Brain Amyloid Deposition |
| Jianing Tang1,2, Elizabeth Joe3, Helena Chui3, and Lirong Yan2,3 | ||
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University, Evanston, IL, United States, 3Department of Neurology, University of Southern California, Los Angeles, CA, United States |
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Keywords: Alzheimer's Disease, Blood vessels Increasing evidence suggests that vascular compliance could offer valuable insights into the pathology of Alzheimer’s diseases. Recently, carotid pulse wave velocity (cPWV) between internal carotid artery and common carotid artery has been successfully measured by a fast single-slice oblique-sagittal PC-MRI technique. In this study, we evaluated the role of cPWV in brain amyloid deposition and cognitive decline in an aged cohort. The results showed that greater cPWV was associated with cognitive decline and amyloid pathology. Our findings suggest elevated cPWV may affect amyloid clearance in brain, leading to cognitive impairment. cPWV could be a potential sensitive imaging marker of AD. |
| 2657 | Computer 132
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Microstructure of the Fornix Correlates with Cognitive Status in Alzheimer’s Disease |
| Ken Sakaie1, Katherine Koenig2, Jian Lin2, Alan Lerner3, James Leverenz4, and Mark J. Lowe2 | ||
1The Cleveland Clinic, Cleveland, OH, United States, 2Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 3Brain Health and Memory Center, Neurological Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Lou Ruvo Center for Brain Health, The Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Alzheimer's Disease, Dementia Imaging measures of tissue microstructure of the fornix are are potential biomarkers for cognitive decline in Alzheimer’s disease (AD). However, partial volume averaging (PVA) between the fornix and cerobrospinal fluid can be substantial. As a result, measured changes may reflect atrophy, not changes in tissue microstructure. Neurite Orientation Dispersion and Direction Imaging and Free Water Elimination diffusion tensor imaging account for PVA. We present results from a cohort of AD patients, patients with mild cognitive impairment (MCI) and cognitively normal (CN) subjects, showing that NODDI and DTI measures correlate with specific scores cognitive status. |
| 2658 | Computer 133
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Effects of Subcortical Atrophy and Alzheimer’s pathology on Cognition in Elderly Type 2 Diabetes |
| Wen Zhang1 and Bing Zhang2 | ||
1Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China |
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Keywords: Alzheimer's Disease, Diabetes Subcortical atrophy and increased cerebral β-amyloid and tau deposition are linked to cognitive decline in type 2 diabetes. However, whether and how subcortical atrophy is related to Alzheimer’s pathology in diabetes remains unclear. We investigated the subcortical structural alterations induced by diabetes and the relationship between subcortical alteration, Alzheimer’s pathology and cognition. Our results suggested that although both type 2 diabetes and AD are correlated with subcortical neurodegeneration, type 2 diabetes have no direct or indirect effect on the cerebral amyloid deposition and CSF p-tau. |
| 2659 | Computer 134
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Detection of Capillary Leakage in a Transgenic Mouse Model of Alzheimer’s Disease |
| Ning Hua1, Olga Minaeva1, Juliet Moncaster1, Hernan Jara1, and Lee Goldstein1 | ||
1Boston University, Boston, MA, United States |
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Keywords: Alzheimer's Disease, DSC & DCE Perfusion The goal of the project is to explore the possibility of using dynamic contrast-enhanced (DCE)-MRI for detecting subtle blood-brain barrier leakage in a transgenic mouse model of Alzheimer’s disease. The washout slope of Gd concentration was used to assess microvascular integrity. We observed different washout patterns in transgenic relative to control mice. Our findings demonstrated that the washout slope could be used to assess status of blood-brain barrier permeability in AD mice. |
| 2660 | Computer 135
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Resting-state global brain activity affects early β-amyloid accumulation and hypoconnectivity in default mode network |
| Feng Han1, Xufu Liu1, Richard Mailman2, Xuemei Huang2, and Xiao Liu1 | ||
1the Pennsylvania State University, State College, PA, United States, 2Pennsylvania State University College of Medicine and Milton S. Hershey Medical Center, Hershey, PA, United States |
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Keywords: Alzheimer's Disease, fMRI (resting state), cerebrospinal fluid The β-amyloid (Aβ) plaque, an Alzheimer’s disease (AD) hallmark, accumulates first in the default mode network (DMN) regions years before AD diagnosis. The underlying mechanisms remain elusive. Low-frequency (<0.1 Hz) resting-state global brain activity was recently found coupled by cerebrospinal fluid (CSF) movements, and this coupling has been linked to AD pathologies, including Aβ accumulations, presumably due to its role in glymphatic clearance. Here we showed the preferential Aβ accumulation in DMN was related to the reduced engagement of the global brain activity in these regions, partly explained by its failure to reach these regions as cortical propagating waves. |
| 2661 | Computer 136
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Iron deficiency anemia is associated with abnormal cerebral metabolic rate, blood brain barrier permeability and cognitive function. |
| Silvie Suriany1, Clio Gonzalez-Zacarias2, Chau Vu2, Sharon ONeil3, Gagan C Mathur4, Dawn C Ward5, Alyssa Ziman5, Ellen B Klapper6, Lefan Zhuang7, and John C Wood1 | ||
1Pediatrics, Children's Hospital of Los Angeles-USC KSOM, Los Angeles, CA, United States, 2University of Southern California, Los Angeles, CA, United States, 3Neuropsychology, Children's Hospital of Los Angeles-USC KSOM, Los Angeles, CA, United States, 4Transfusion Medicine, Children's Hospital of Los Angeles-USC KSOM, Los Angeles, CA, United States, 5Transfusion Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 6Transfusion Medicine, Cedar Sinai Medical Center, Los Angeles, CA, United States, 7Transfusion Medicine, City of Hope Medical Center, Duarte, CA, United States |
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Keywords: Dementia, Metabolism, Iron Deficiency Iron deficiency is the predominant cause of anemia in adults, typically occurring in women with heavy menses, endometriosis or fibroids. We study cerebral metabolic rate of oxygen (CMRO2), blood brain barrier (BBB) permeability to water, and neurocognitive function in 34 women with iron deficiency anemia (IDA). We observed striking deficits in verbal and spatial memory, perceptual reasoning, and crystalized intelligence that were strongly correlated with hemoglobin level. CMRO2 was lower than predicted by anemia alone, correlated to BBB permeability to water, and associated with poorer neurocognitive performance, suggesting decreased brain capillary surface area for oxygen and water diffusion. |
| 2662 | Computer 137
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Personalized fingerprint of neurodegenerative phenotypes using model-based simulations of brain networks |
| Anita Monteverdi1, Fulvia Palesi2, Michael Schirner3,4,5,6,7, Francesca Argentino2, Mariateresa Merante2, Alberto Redolfi8, Francesca Conca9, Laura Mazzocchi10, Matteo Cotta Ramusino2,11, Alfredo Costa2,11, Anna Pichiecchio2,10, Lisa Maria Farina9, Stefano Cappa9,12, Viktor Jirsa13, Petra Ritter3,4,5,6,7, Claudia A.M. Gandini Wheeler-Kingshott1,2,14, and Egidio D’Angelo1,2 | ||
1Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy, 2Dept of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 3Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany, 4Department of Neurology with Experimental Neurology, Charité, Universitätsmedizin Berlin, Berlin, Germany, 5Bernstein Focus State Dependencies of Learning and Bernstein Center for Computational Neuroscience, Berlin, Germany, 6Einstein Center for Neuroscience Berlin, Berlin, Germany, 7Einstein Center Digital Future, Berlin, Germany, 8Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy, 9IRCCS Mondino Foundation, Pavia, Italy, 10Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy, 11Unit of Behavioral Neurology, IRCCS Mondino Foundation, Pavia, Italy, 12University Institute of Advanced Studies (IUSS), Pavia, Italy, 13Institut de Neurosciences des Systèmes, INSERM, INS, Aix Marseille University, Marseille, France, 14NMR Research Unit, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Department of Neuroinflammation, University College London, London, United Kingdom |
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Keywords: Alzheimer's Disease, Modelling, Frontotemporal Dementia This work provides the first personalized and non-invasive assessment of resting-state networks connectivity and excitatory/inhibitory balance in health and in neurodegenerative diseases (Alzheimer’s disease, Frontotemporal Dementia). Multiple networks were characterized at single-subject level performing brain dynamics simulations with The Virtual Brain (TVB). TVB-derived parameters identified specific network properties (at single network and inter-network level) and their disruption in neurodegeneration, underlined the relationship between neurophysiology and neuropsychology, and outlined a personalized fingerprint sensitive to clinical severity. This model-based simulation of brain networks functional dynamics lay the groundwork for customized biomarkers research and defines new trajectories for designing novel tailored interventional workflows. |
| 2663 | Computer 138
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7T GRE Enables Detection of Subiculum Iron Deposits in AD |
| Mackenzie L Carlson1, Phillip DiGiacomo1, Brian Burns2, Nicole Mouchawar1, Julian Maclaren1, Murat Aksoy1, Pascal Spincemaille3, Alexey Dimov3, Yi Wang3, Brian Rutt1, and Michael Zeineh1 | ||
1Stanford University, Stanford, CA, United States, 2GE Healthcare, Seattle, WA, United States, 3Weill Cornell Medical College, New York, NY, United States |
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Keywords: Alzheimer's Disease, Motion Correction Abnormal accumulation of iron has been found in the subiculum of Alzheimer’s Disease (AD) patients postmortem. This motivated us to push MRI resolution to observe iron accumulation in vivo in AD patients. Using optical prospective motion correction to enable higher resolution at 7T, we imaged 4 healthy controls, 3 mild cognitive impairment, and 1 Alzheimer’s Disease patient with a 60-minute research brain MRI protocol. Hippocampal iron deposits were detected by a neuroradiologist aware of diagnosis in 2 out of 4 MCI/AD subjects despite that mean R2* quantification in the subiculum was not significantly different between healthy control and MCI/AD subjects. |
| 2664 | Computer 139
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Associations of the shape of subcortical brain structures with age-related neuropathologies in community-based older adults |
| Khalid Saifullah1, Nazanin Makkinejad1, Arnold M. Evia2, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Alzheimer's Disease, Neurodegeneration, Aging, Atherosclerosis Multiple age-related neuropathologies lead to atrophy of subcortical brain structures. However, definitive diagnosis of most of these pathologies is only possible at autopsy, complicating investigations into the effects of age-related neuropathologies on the shape of subcortical brain structures. The present work combined ex-vivo MRI and detailed pathologic assessment in a large number (N=842) of community-based older adults to study the relationship between age-related neuropathologies and the shape of subcortical brain structures. The resulting deformation patterns may be used as features in in-vivo classifiers of age-related neuropathologies. |
| 2665 | Computer 140
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Improved DCE-MRI analyses of blood-brain barrier integrity in subjective memory and mild cognitive impairment: New results from the CANN trial |
| Rashed Sobhan1, David R. Willis2, Rachel Gillings2, Michael J. Thrippleton3, Joanna M. Wardlaw3, Anne-Marie Minihane2, Narelle M. Berry2, and Donnie Cameron1,4 | ||
1Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 2University of East Anglia, Norwich, United Kingdom, 3University of Edinburgh, Edinburgh, United Kingdom, 4Department of Radiology, C.J. Gorter Centre for High Field MRI, Leiden University Medical Centre, Leiden, Netherlands |
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Keywords: Alzheimer's Disease, Permeability, DCE-MRI, Low-level Blood-brain-barrier Leakage, Mild cognitive impairment We implemented recent developments in DCE-MRI pre-processing and analysis techniques to compare local differences in blood brain barrier (BBB) integrity in subjective memory impairment (SMI) and mild cognitive impairment (MCI), two early indicators of Alzheimer’s disease. Also, as part of the CANN trial, we explored the impact of a combined flavanol and omega-3 fatty acid-based nutritional intervention on BBB leakage. The results show that BBB leakage in memory processing regions can distinguish between SMI and MCI, and thus can be used to quantitatively assess the progress of cSVD towards onset of MCI and/or early indication of Alzheimer’s disease. |
| 2666 | Computer 141
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TR(acking) individuals down: Exploring the effect of temporal resolution in resting-state fingerprinting |
| Barbara Cassone1, Francesca Saviola1, Stefano Tambalo1, Enrico Amico2,3, Dimitri Van De Ville3,4, and Jorge Jovicich1 | ||
1CIMeC, University of Trento, Trento, Italy, 2Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland, 3Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 4Institute of Bioengineering, EPFL, Lausanne, Switzerland |
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Keywords: Brain Connectivity, fMRI (resting state) Brain fingerprints reside in timescale-specific functional connectivity of specific regions. However, the effect of acquisition’s temporal resolution on fingerprinting is unknown. Here, we manipulated repetition time (TR) in resting-state fMRI acquisitions, and observed that subject identifiability was maximized when using fast (TR = 0.5 s) or slow (TR = 3 s) protocols, and decreased with TR = 0.7, 1 or 2 s. Moreover, while high-level association areas gave the highest contribution to individual fingerprinting regardless of TR, low-level sensorimotor areas were mostly involved in discriminating between acquisitions with different TRs. |
| 2667 | Computer 142
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Comparing the efficacy of data-driven noise regression techniques in preserving age-related resting-state connectivity information |
| Ali M Golestani1 and J Jean Chen2,3 | ||
1University of Calgary, Calgary, AB, Canada, 2Rotman Research Institute at Baycrest, Toronto, ON, Canada, 3Department of Biophysics, University of Toronto, Toronto, ON, Canada |
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Keywords: Brain Connectivity, Artifacts Data-driven denoising methods (global-signal regression (GS), white matter and CSF (cerebrospinal fluid) regression, anatomical and temporal CompCor, ICA AROMA) have been shown to remove cardiac and respiratory contributions from the fMRI signal. In this study, we compared the effectiveness of these methods in preserving the signals associated with age-related brain connectivity changes. We show that GS and AROMA resulted in diminished age-related brain connectivity differences, aCompCor and tCompCor retained the most connectivity differences while denoising effectively. |
| 2668 | Computer 143
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Exploring Tensor Decomposition as an Alternative to ICA for Denoising Multi-Echo fMRI data |
| Eneko Uruñuela1, Miguel Ánguel Veganzones2, and César Caballero-Gaudes1 | ||
1Basque Center on Cognition, Brain and Language, Donostia - San Sebastián, Spain, 2University of Deusto, Donostia - San Sebastián, Spain |
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Keywords: Brain Connectivity, fMRI, Tensor Decomposition Denoising of the blood oxygen level-dependent signal is critical for the study of brain dynamics with functional MRI data. However, disentangling neurobiological signals from non-neurobiological ones such as head motion-related artifacts, and cardiac-related and respiration-related fluctuations. Multi-echo ICA approaches are often used to denoise the data by exploiting the echo-time dependence of the BOLD signal. Nevertheless, these rely on the optimally combined data and do not employ the information contained in the different echo-time signals. Here, we explore the potential of tensor decomposition techniques, which can simultaneously consider all the information available, as a way to process multi-echo fMRI data. |
| 2669 | Computer 144
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Global signal regression improves model performance of connectome-based predictive modeling |
| Dafa Shi1, Haoran Zhang1, Guangsong Wang1, and Ke Ren1 | ||
1Department of Radiology, Xiang’an Hospital of Xiamen Uneversity,School of Medicine, Xiamen University, Xiamen, China |
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Keywords: Brain Connectivity, fMRI (resting state), connectome-based predictive modeling Physiologic significance of the global signal and the use (or omission) global signal regression (GSR) in fMRI data preprocessing remain controversial. Connectome-based predictive modeling(CPM) is one of the most commonly used machine-learning models. The effect of GSR on the performance of the CPM model is not well understood. We performed two preprocessing procedures for fMRI data: GSR and without GSR, and we used different brain atlases to construct CPM models to predict age, full-scale, performance and verbal IQ. We found that GSR can improve the predictive performance of CPM, at least for age, full-scale, performance and verbal IQ . |
| 2670 | Computer 145
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Whole Brain Multivoxel Pattern Analysis of resting fMRI in Autism and Attention Deficit Hyperactivity Disorder |
| Smitha Karavallil Achuthan1, Despina Stavrinos2, Haley B Holm3, Sheeba Arnold Anteraper4, and Rajesh K Kana1 | ||
1Department of Psychology & The Center for Innovative Research in Autism., University of Alabama, Tuscaloosa, AL, United States, 2University of Alabama at Birmingham, Birmingham, AL, United States, 3Children’s Healthcare of Atlanta, Atlanta, GA, United States, 4Carle Illinois Advanced Imaging Center, Urbana, IL, United States |
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Keywords: Brain Connectivity, Brain Connectivity, Multivoxel Pattern Analysis This study examined whole-brain resting state fMRI connectivity patterns in autistic and attention deficit hyperactivity disorder (ADHD) adults in comparison with neurotypical adults using multivoxel pattern analysis. Results highlight alterations in cerebellar-cortical functional connectivity (FC) in autistic participants and the involvement of cerebellum and inferior frontal gyrus in ADHD. |
| 2671 | Computer 146
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Uncovering the biological mechanism of depression based on edge-centric functional connectivity: a correlation study |
| Fanghui Dong1, Tongpeng Chu1, Ning Mao1, and Haizhu Xie1 | ||
1Yantai Yuhuangding Hospital, Yantai, China |
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Keywords: Brain Connectivity, fMRI (resting state), Major depressive disorder, edge-centric functional connectivity, gene expression This study aims to use the combination of the edge-centric functional network (eFC) model with transcribed gene datasets to explore the molecular basis of depression. In our study, we for the first time reported the correlation between eFC and transcriptional profiles in MDD patients. These findings revealed eFC phenotypes in MDD and bridged the gap between transcriptome and neuroimaging. It advanced our understanding of the neurobiological mechanism underlying depression and provided potential biomarkers for the evaluation of MDD treatment. |
| 2672 | Computer 147
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Characterization of cortical reorganization in persons with chronic spinal cord injury using mesoscale graph measures |
| Farzad V Farahani1, Cristina Sadowsky2,3, James J Pekar4,5, Martin Lindquist1, and Ann S Choe4,5 | ||
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States, 2International Center for Spinal Cord Injury, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Brain Connectivity, Spinal Cord, graph theory, spinal cord injury, plasticity, reorganization Cortical plasticity contributes to neurological recovery in persons with spinal cord injury (SCI) and can be studied using resting-state fMRI. Global graph measures offer insufficient detail to investigate local changes. Here, we investigated whether mesoscale graph measures provide additional insight. Changes in sensorimotor, visual, and ventral attention networks were revealed. Notably, decreased communication between lower body SMN with the rest of the functional networks across the brain and increased communication within the upper body SMN were observed. This suggests a potential for the mesoscale graph measures' utility in understanding the complex brain functional reorganizations in persons with chronic SCI. |
| 2673 | Computer 148
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Neural perspective on observational drawing: A longitudinal resting state functional connectivity study using 7T MRI |
| Apoorva Safai1, Jeffrey Katz2,3,4,5, Barbara Bondy6, and Gopikrishna Deshpande2,3,4,5,7,8,9,10 | ||
1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Psychological Sciences, Auburn University, Auburn, AL, United States, 3Department of Electrical & Computer Engineering, Auburn University, Auburn, AL, United States, 4Alabama Advanced Imaging Consortium, Birmingham, AL, United States, 5Center for Neuroscience, Auburn University, Auburn, AL, United States, 6Department of Art and Art History, Auburn University, Auburn, AL, United States, 7Key Laboratory for Learning and Cognition, Capital Normal University, Beijing, China, 8Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India, 9Centre for Brain Research, Indian Institute of Science, Bangalore, India, 10Department of Heritage Science and Technology, Indian Institute of Technology, Hyderabad, India |
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Keywords: Brain Connectivity, Neuroscience, Neuroplasticity Observational drawing is representation of observed 3D real-life objects into 2D drawings on paper, which involves engaging complex skills like visual perception, spatial encoding, memory and decision making. This study investigates longitudinal functional connectivity (FC) in art students who underwent a 16-week long drawing course, in comparison to students who took unrelated courses. The art group showed improved drawing skills and demonstrated enhanced FC between DMN and salience network and in cerebellar regions post-art class, in comparison, with healthy non-art students. These findings imply positive changes in brain functioning on learning and practicing art, thereby highlighting its potential therapeutic applications. |
| 2674 | Computer 149
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Association of Attention with Brain Global Efficiencies at Rest: a Dynamic ASL and BOLD fMRI Comparison Study |
| Yakun Zhang1, Shichun Chen1, Zongpai Zhang1, Wenna Duan1, George Weinschenk1, Li Zhao2, Brandon Gibb3, Adam Anderson4, Wenming Luh5, and Weiying Dai1 | ||
1Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3Department of Psychology, State University of New York at Binghamton, Binghamton, NY, United States, 4Department of Psychology, Cornell University, Ithaca, NY, United States, 5Cornell MRI Facility, Cornell University, Ithaca, NY, United States |
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Keywords: Brain Connectivity, Arterial spin labelling We evaluated the relationship between attention levels and brain global efficiencies. This relationship was compared with brain global efficiencies measured with dynamic ASL (dASL) and with multi-echo (ME) BOLD fMRI. We found significantly greater correlation between attention levels (reflected by P3 properties when performing an attention task) and brain global efficiencies based on rsFC using dASL than those using ME BOLD fMRI, indicating that dASL can offer more accurate global neural signal fluctuations. |
| 2675 | Computer 150
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Task functional magnetic resonance imaging-guided individualized repetitive transcranial magnetic stimulation after a brief nap attenuates the sustained attention performance deterioration induced by sleep deprivation |
| Yuanqiang Zhu1, Fan Guo1, and Yingjuan Chang1 | ||
1Air Force Medical University, Xi'an, China |
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Keywords: Data Analysis, fMRI (task based) Our pilot study validated the effectiveness of rTMS after a brief nap in terms of improving sustained attention in the context of SD. An investigation of the dynamic changes of PVT task-related cerebral responses across the three conditions showed that the middle frontal gyrus recovered least after the nap and was selected as the stimulation target. Through modulating the functional connectivity within the FPN and DMN, individualized, 10-Hz rTMS showed promise in terms of improving the vigilance of military academy cadets accepting real stimulation. |
| 2676 | Computer 151
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Exploring effect of rTMS at SMA in Parkinson’s Disease- An fMRI-MVPA study. |
| Priyanka Bhat1, S Senthil Kumaran2, Vinay Goyal3, Achal K Srivastava4, S N Dwivedi5, and Madhuri Behari6 | ||
1Dept. of Neurology, AIIMS, Delhi, India, 2Dept of Nuc. Mag. Res, AIIMS, Delhi, India, 3Medanta, The Medicity, Delhi, India, 4Dept of Neurology, AIIMS, Delhi, India, 5Dept. of Biostatistics, AIIMS, Delhi, India, 6Dept. of Neurology, Fortis Hospitals, Vasant Kunj, Delhi, India |
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Keywords: Brain Connectivity, fMRI (task based), Parkinson's Disease, Supplementary Motor Area, Transcranial Magnetic Stimulation Transcranial Magnetic stimulation alters cortical connectivity in Parkinson’s disease (PD) imparting clinical benefits. The mechanisms by which this occurs remain unexplored. In this study, Multivariate pattern analyses of task-based connectivity was carried out to understand the effects of rTMS in PD. Visuospatial task based functional MRI was acquired before and after stimulation sessions. Correlation matrices revealed an increased connectivity between left supplementary motor area (SMA) and left primary motor area (M1), suggesting an improvement in the motor network. |
| 2677 | Computer 152
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ROI-dependence in clarifying metabolic connectivity mapping within default-mode network using simultaneous FDG PET and BOLD-based fMRI |
| Tzu-chen Yeh1,2, Chou-ming Cheng3, and Chi-che Chou3 | ||
1Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, 2Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan |
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Keywords: Brain Connectivity, PET/MR, metabolic connectivity mapping Metabolic connectivity mapping (MCM) is a unique application of simultaneous PET/fMRI for solving the effective connectivity (EC) of brain circuits. Reproducibility of MCM was critical after the initial report. By applying the released database of MONASH (Melbourne, Australia), consistent EC among bilateral inferior parietal lobules (IPL) and posterior cingulate cortices (PCC), as nodes within default mode network (DMN), was identified using MCM with the statistic-based approach. One-way EC using dedicated ROI (regions of interest) derived from grouped ICA (independent component analysis) outperformed the atlas-based ROIs of DMN. |
| 2678 | Computer 153
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Multimodal neuroimaging data reveal intelligence-specific neurobiological correlates |
| Dafa Shi1, Haoran Zhang1, Guangsong Wang1, and Ke Ren1 | ||
1Department of Radiology, Xiang’an Hospital of Xiamen Uneversity,School of Medicine, Xiamen University, Xiamen, China |
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Keywords: Brain Connectivity, fMRI (resting state) We used Brainnetome 246 atlas to construct FC matrices and extract image features from ALFF, DC, ReHo and VMHC maps.The classical CPM method using FC data and the combination model using multimodal data were constructed to predict FIQ scores. We found the combination model outperformed either classical models. Similar results were found with the Shen 268 atlas. The functional networks and regions related to intelligence mainly included intrafrontal, frontoparietal, frontotemporal and temporoparietal networks.The models constructed with the intelligence-related networks and regions could predict PIQ, VIQ, and CRT scores well, but not BDI, SAT, and TAT scores. |
| 2679 | Computer 154
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Assessing inter-tract independence across microstructural metrics |
| Carolyn B McNabb1, Eirini Messaritaki1, Kristin Koller1, and Derek K Jones1 | ||
1Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: Brain Connectivity, Brain Connectivity We aimed to identify potential redundancies in microstructural measures between major white matter tracts and asked which microstructural metrics correlate most within a tract. Using a combination of microstructural imaging techniques, including diffusion imaging, relaxometry and quantitative magnetisation transfer imaging, we identified strong correlations between homologous left and right fasciculi in the cingulum bundles, inferior longitudinal fasciculi, uncinate fasciculi and arcuate fasciculi as well as similar patterns of tissue microstructure between heterologous tracts. However, corticospinal tracts showed weak correlations with other tracts and a unique pattern of inter-metric correlations, suggesting that summarising metrics across all tracts would be inappropriate. |
| 2680 | Computer 155
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Measuring structural connectivity in migraine: the impact of correcting for region volumes |
| Ana Matoso1, Ana R Fouto1, A. Ruiz-Tagle1, I. Esteves1, Gina Caetano1, Nuno A. Silva2, Pedro Vilela3, Raquel Gil-Gouveia4,5, Patrícia Figueiredo1, and Rita G Nunes1 | ||
1Institute for Systems and Robotics- Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2Learning Health, Hospital da Luz, Lisbon, Portugal, 3Imaging Department, Hospital da Luz, Lisbon, Portugal, 4Neurology Department, Hospital da Luz, Lisbon, Portugal, 5Center for Interdisciplinary Research in Health, Universidade Católica Portuguesa, Lisbon, Portugal |
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Keywords: Brain Connectivity, Data Analysis, Migraine When studying structural brain connectivity, there are many normalization strategies that can be employed, however, there is still no consensus on which one is best to use. Hence, in this study, we investigated the impact of normalizing by the region volumes in the context of migraine as this is sometimes done to avoid bias towards higher connectivity in bigger regions. Several metrics showed significant differences between normalization strategies and, more critically, nodal metrics displayed different behaviours when compared between controls and migraineurs. |
| 2681 | Computer 156
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Brain connectome-based imaging markers for identifiable signature of migraine with and without aura |
| Tong Fu1, Yujia Gao1, Xiaobin Huang1, Di Zhang1, Lindong Liu1, Xindao Yin1, Xinying Wu 1, Hai Lin2, and Yongming Dai2 | ||
1Department of Radiology, Nanjing first hospital，Nanjing Medical University, Nanjing, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Brain Connectivity, Machine Learning/Artificial Intelligence In comparison with migraine without aura (MwoA), migraine with aura (MwA) has its own characteristics in symptom, pathological mechanism, treatment and prognosis. In this study, we conducted connectome-based analysis to capture brain connectivity markers that would show identifiable signature of MwA and MwoA, using diffusion tensor imaging and resting-state functional MRI. We found that the alterations of structural and functional connectivity strength contributed to migraine patient subtyping. The whole brain connectome-based imaging markers might provide possible evidence in understanding the heterogeneity of migraine with aura and help for patient-specific decision. |
| 2682 | Computer 157
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DTI reveals altered structural connectivity of pain-associated regions in a genetic variant of small fiber neuropathy |
| Gerhard Drenthen1, Amir Far2, Catharina Faber2, Jaymin Upadhyay3, David Linden4, Raquel van Gool4, Walter Backes1, Janneke Hoeijmakers2, and Jacobus Jansen1 | ||
1Department of Radiology & Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 3Boston Children's Hospital, Boston, MA, United States, 4School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands |
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Keywords: Brain Connectivity, Diffusion Tensor Imaging, Chornic pain Patients with small fiber neuropathy (SFN) suffer from chronic pain, which may lead to cerebral changes. Here, we studied structural network changes in idiopathic- and genetic-SFN compared to controls using diffusion-MRI. We found that for the genetic-SFN group pain-associated regions take a more prominent place in the network (in terms of nodal importance). Furthermore, in the genetic-SFN group, a higher nodal importance of pain-associated regions related to lower self-reported pain. This shows that genetic-SFN has a distinct structural pain pathway, which may be indicative of a compensatory mechanism where the structural organization is altered to inhibit the response to pain. |
| 2683 | Computer 158
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Graph theory-based analysis of brain diffusion data reveals network alterations in World Trade Center first responders with chronic PTSD |
| Daniel Suite1, Thomas Hagan1, Chuan Huang1,2, Minos Kritikos3, Sean Clouston3, Megan Horton4, Roman Kotov5, Roberto G Lucchini6,7, Evelyn J Bromet5, and Benjamin Luft8 | ||
1Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Department of Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Program in Public Health and Department of Family, Population, and Preventative Medicine, Stony Brook Medicine, Stony Brook, NY, United States, 4Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York City, NY, United States, 5Department of Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, 6Environmental Health Sciences, School of Public Health, Florida International University, Miami, FL, United States, 7Occupational Medicine, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy, 8Department of Medicine, Stony Brook Medicine, Stony Brook, NY, United States |
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Keywords: Brain Connectivity, Psychiatric Disorders Many World Trade Center (WTC) responders continue to suffer from chronic Post-Traumatic Stress Disorder (PTSD). Multimodal imaging techniques have shown potential as putative markers for PTSD but still lie in the developmental stages. Network connectivity techniques are showing promise for investigating neuropathology influencing PTSD symptom maintenance and course. This work utilizes a graph theory approach with brain diffusion images to probe the network alterations in WTC responders with PTSD. We identified a significant difference in Characteristic Path Length (CPL) between responders with and without chronic PTSD. |
| 2684 | Computer 159
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Identify the paraventricular thalamic nucleus in humans using a structural connectivity approach |
| Koji Kamagata1, Wataru Uchida1, Christina Andica1,2, Yasuhito Nagai3, Masaki Nishioka3, Mana Owaki1,4, Yuya Saito1, Kaito Takabayashi1, Akifumi Hagiwara1, Akihiko Wada1, Toshiaki Akashi1, Shigeki Aoki1, and Tadafumi Kato3 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Faculty of Health Science, Juntendo University, Chiba, Japan, 3Department of Psychiatry, Juntendo University, Tokyo, Japan, 4Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan |
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Keywords: Brain Connectivity, Brain Connectivity We attempted to identify the paraventricular thalamic nucleus (PVT), which is known to regulate emotion, motivation, stress, and drug- and alcohol-related behaviors in humans. We used data-driven connectivity profiles obtained using probabilistic tractography and a k-means clustering method with diffusion-weighted imaging data. We consistently identified an anatomical connectivity-based parcellation of the PVT in two independent cohorts that included 601 healthy subjects. Furthermore, we discerned the specific structural pattern of the PVT, which agreed with findings from animal studies. Finally, we noted significant correlations between PVT structural and functional connectivity with the limbic structures and drug-, nicotine-, or alcohol-related scores.
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| 2685 | Computer 160
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Application of Diffusion MRI to Characterize Connectome Changes Associated with EED Ablation |
| Majd Alkhalily1, Laura Currey2, Michael Piper2, and Nyoman D Kurniawan1 | ||
1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2The School of Biomedical Sciences, The University of Queensland, Brisbane, Australia |
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Keywords: Brain Connectivity, Genetic Diseases, Tractography, Connectome, EED, Neurodevelopment, MRI, HARDI Mutation in embryonic ectoderm development (EED) gene in mice have been shown to exhibit microcephaly at birth, however, the adult phenotype is unknown. This study investigates brain connectivity changes arising from EED ablation in adult mice using high angular resolution diffusion imaging. Three groups of adult mice (homozygotes, heterozygotes, controls) were scanned using 16.4 T to acquire diffusion data. Data was then used to compute iFOD2 maps, probabilistic whole brain tractograms, and the connectomes. Connectomic were compared both connectivity- and network-wise. Homozygotes had abnormal connectivity and network metrics suggesting brain under-development, highlighting the importance of EED’s role in brain development. |
| 2784 | Computer 81
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High Heterogeneity of White Matter Observed with Short TE Magnetic Resonance Elastography |
| Samuel Patz1,2, W. Scott Hoge3,4, Bin Deng2,5, Lauren O'Donnell1,2, Fan Zhang1,2, Yanmei Tie2,6, Emma Tinney7, Ralph Sinkus8, and Katherine M. Breedlove1,2 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3SigProc Expert Solutions, Westwood, MA, United States, 4Imaginostics, Inc., Cambridge, MA, United States, 5Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 6Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States, 7Psychology, Northeastern University, Boston, MA, United States, 8INSERM, Paris, France |
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Keywords: White Matter, Elastography, superficial white matter heterogeneity, myelin water Prior MRE work in the brain has utilized long TE pulse sequences (spiral and EPI) and therefore has necessarily not observed the signal from short T2 components. In particular, the signal from water compartmentalized in myelin membranes and that is a sensitive measure of white matter structural integrity, has been missed. Here we demonstrate high heterogeneity of the shear stiffness within the superficial white matter when utilizing MRE sequences with a short (10ms) TE. |
| 2785 | Computer 82
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Longitudinal change of white matter-specific brain age is associated with Alzheimer's disease-related regional atrophy |
| Chang-Le Chen1, Jinghang Li1, Linghai Wang1, Noah Schweitzer1, Dana Tudorascu2,3, Howard Aizenstein1,2, and Minjie Wu1,2 | ||
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States |
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Keywords: White Matter, Aging, brain age The white matter (WM) network integrity is assumed to associate with Alzheimer's disease (AD)-related gray matter (GM) atrophy. To investigate this hypothesis, we estimated WM-specific brain age to quantify WM integrity and calculated twelve AD-related GM signatures in a longitudinal cognitively normal cohort. We identified that the change rate of WM brain age was significantly correlated with the left hippocampal and amygdala volumetric changes; that is, the accelerated aging in WM was associated with the more atrophic GM volumes. This result suggested that changes of structural network characterized by brain age metrics can reflect the alteration of AD-related GM signatures. |
| 2786 | Computer 83
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Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies |
| Santiago Aja-Fernandez1, Carmen Martin-Martin1, Tomasz Pieciak1, Alvaro Planchuelo-Gomez1,2, Abrar Faiyaz3, Nasir Uddin3, Abhishek Tiwari4, Saurabh J. Shigwan4, Tianshu Zheng5, Zuozhen Cao5, Stefano B. Blumberg6, Snigdha Sen6, Mehmet Yigit Avci7, Zihan Li7, Xinyi Wang8, Zihao Tang8, Amelie Rauland9, Dorit Merhof10, Renata Manzano Maria11, Vinicius P. Campos11, SeyyedKazem HashemizadehKolowri12, Edward DiBella12, Chenxu Peng13, Zan Chen13, Irfan Ullah14, Merry Mani14, Samuel Eckstrom15, Steven H. Baete15, Scifitto Scifitto3, Rajeev Kumar Singh4, Dan Wu5, Tobias Goodwin-Allcock6, Paddy J. Slator6, Berkin Bilgic7, Qiyuan Tian7, Mariano Cabezas8, Tales Santini11, Marcelo Andrade da Costa Vieira11, Zhimin Shen13, Hesam Abdolmotalleby14, Patryk Filipiak15, Antonio Tristan-Vega1, and Rodrigo de Luis-Garcia1 | ||
1Universidad de Valladolid, Valladolid, Spain, 2CUBRIC, Cardiff University, Cardiff, United Kingdom, 3University of Rochester, Rochester, NY, United States, 4Shiv Nadar University, Delhi NCR, India, 5Zhejiang University, Hangzhou, China, 6Centre for Medical Image Computing, University College London, London, United Kingdom, 7Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 8University of Sydney, Sidney, Australia, 9RWTH Aachen University, Aachen, Germany, 10University of Regensburg, Regensburg, Germany, 11University of São Paulo, São Paulo, Brazil, 12University of Utah, Salt Lake City, UT, United States, 13Zhejiang University of Technology, Hangzhou, China, 14University of Iowa, Iowa City, IA, United States, 15New York University, New York, NY, United States |
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Keywords: White Matter, Brain, Migraine This work gathers the results of the QuadD22 challenge, held in MICCAI 2022. We evaluate whether Deep Learning (DL) Techniques are able to improve the quality of diffusion MRI data in clinical studies. To that end, we focused on a real study on migraine, where the differences between groups are drastically reduced when using 21 gradient directions instead of 61. Thus, we asked the participants to augment dMRI data acquired with only 21 directions to 61 via DL. The results were evaluated using a real clinical study with TBSS in which we statistically compared episodic migraine to chronic migraine. |
| 2787 | Computer 84
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Machine-learning prediction of fMRI language laterality based on morphological features of Arcuate fasciculi CSD tractograms |
| Ahmed Radwan1, Robert Pretorius1, and Stefan Sunaert1 | ||
1Imaging and pathology, Translational MRI, KU Leuven, Leuven, Belgium |
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Keywords: White Matter, Machine Learning/Artificial Intelligence, Tractography & Fiber Modelling Shape features of the arcuate fasciculi (AF) can be used for predicting language laterality by a machine-learning algorithm as determined by language task-based functional MRI (tb-fMRI) laterality index (LI) relatively accurately (AUC = 0.893, accuracy = 0.868) in a sample of 60 clinical preoperative patients with variable pathology. Constrained spherical deconvolution (CSD) tractograms seemed to give the best outcome of model training regardless of additional streamline filtering or anatomical constraint. The best-performing model appeared to prioritise bundle curl, irregularity and span over the more conventional measures of surface-area and volume. |
| 2788 | Computer 85
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Association between arterial stiffness and white matter integrity in older adults |
| Junko Kikuta1, Koji Kamagata1, Masahiro Abe1, Andica Christina1, Yuya Saito1, Kaito Takabayashi1, Wataru Uchida1, Hitoshi Naito2, Hiroki Tabata3, Akihiko Wada1, Yoshifumi Tamura2,3, Ryuzo Kawamura2,3, Hirotaka Watada2,3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan, 2Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan, 3Sportology Center, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan |
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Keywords: White Matter, Brain This study aimed to use advanced MRI techniques to investigate the effect of arterial stiffness on the white matter (WM) microstructure among older adults. Arterial stiffness was examined using the cardio-ankle vascular elasticity index (CAVI). The high-CAVI group (mean CAVI ≥ 9 points) and the low-CAVI group (mean CAVI < 9 points) were used. The neuronal fiber integrity of the WM was assessed by neurite orientation dispersion, density imaging, and magnetization transfer-saturation imaging. Our results suggest that arterial stiffness may be related to demyelination rather than axonal degeneration.
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| 2789 | Computer 86
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Serial Acquisition of radiofrequency pulse MOdes (SAMO) for correction of transmit field inhomogeneities in ultra high field (7T) diffusion MRI. |
| Bradford A Moffat1, Robert A Williams2, Rebecca A Glarin3, Braden Thai3, Jennie Ponsford4, and Christopher C Rowe5 | ||
1Radiology, University of Melbourne, Parkville, Australia, 2University of Melbourne, Parkville, Australia, 3Radiology, Royal Melbourne Hospital, Parkville, Australia, 4Psychology, Monash University, Clayton, Australia, 5Department of Nuclear Medicine and Centre for PET,, Austin Health, Heidelberg,, Australia |
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Keywords: White Matter, Diffusion Tensor Imaging, 7T DWI, CSD, tractography This study presents a simple and robust correction of B1+ inhomogeneities in high resolution multi-shell DWI at 7T. |
| 2790 | Computer 87
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Brain WMH Load, Kinetics and regional Distribution with Aging: A signature of Structural and Cognitive Health |
| Niraj Kumar Gupta1, Neha Yadav1, Aniket Aman1, and Vivek Tiwari1 | ||
1Department of Biological Sciences, Indian Institute of Science Education and Research Berhampur, Berhampur, India |
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Keywords: White Matter, Aging Discriminating Cognitive Impairment and Alzheimer's Disease is challenging due to overlapping subtle structural changes and cognitive variations. Load and distribution of white matter hyperintensity across brain regions may elicit structural atrophy and cognitive disabilities via continuous vascular insult. Here, we have investigated the kinetics and regional distribution of White matter hyperintensity with aging and its implications in brain structure and cognitive health using T2-FLAIR and T1w longitudinal MRI from the NACC cohort. |
| 2791 | Computer 88
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Deep learning-based quantification of white matter hyperintensity applicable to real-world clinical FLAIR images |
| Kengo Onda1, Jill Chotiyanonta1, Yuto Uchida1, Xin Li1, Susumu Mori1,2, and Kenichi Oishi1,2,3 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3The Richman Family Precision Medicine Center of Excellence in Alzheimer’s Disease, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: White Matter, Neurodegeneration, White Matter Hyperintensity White matter hyperintensity (WMH) in the brain is known to correlate with cognitive prognosis in many diseases; automated quantification tools for WMH have been developed, but most have been used to quantify study data from specific diseases imaged with a single scanning protocol. The low accuracy of these tools when used for clinical data with diverse scan protocols and diseases has been a problem in clinical applications. To overcome this limitation, we developed a deep-learning-based WMH quantification model for real-world clinical FLAIR images with high heterogeneity. The results show the potential of this method as a clinical tool. |
| 2792 | Computer 89
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The value of MR diffusion tensor imaging in assessing white matter changes in short-term methamphetamine withdrawal |
| Yanyao Du1, Wenhan Yang1, Sihong Huang1, Fei Tang1, Wei Zhao1, Hu Guo2, Huiting Zhang3, and Jun Liu1 | ||
1The Second Xiangya Hospital, Central South University, Changsha, China, 2MR Application，Siemens Healthineers Ltd., Changsha, China, 3MR Scientific Marketing，Siemens Healthineers Ltd., Wuhan, China |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques This study aimed to explore the changes of brain white matter changes in short-term methamphetamine (MA) abstinence and to investigate potential imaging markers. Compared with healthy controls (HC), fractional anisotropy (FA), axial diffusivty (AD) and mean diffusivity (MD) values in short-term abstinence group were all increased, but there was no significant difference in the radial diffusivty value. The changes of FA, AD and MD value may be a new biomarker which is helpful to explore the potential mechanism of neurotoxicity damage. |
| 2793 | Computer 90
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Improving T2 distribution estimation using deep generative priors |
| Jonathan Doucette1,2,3, Christian Kames1,2,3, and Alexander Rauscher1,2,3,4 | ||
1UBC MRI Research Centre, Vancouver, BC, Canada, 2Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4Djavad Mowafaghian Centre for Brain Health, Vancouver, BC, Canada |
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Keywords: White Matter, Relaxometry, Brain, Myelin Water Fraction $$$T_2$$$ distributions are typically computed using point estimates such as nonnegative least-squares (NNLS). This characterizes the most likely $$$T_2$$$-distribution arising from the data, but disregards other plausible solutions - of which there are many, due to the ill-posed nature of the inverse problem. Here, we instead propose to use Bayesian posterior sampling methods. To guide the difficult high-dimensional sampling problem, a data-driven domain transformation is learned alongside a deep generative prior. The resulting posterior samples produce more spatially consistent myelin water fraction (MWF) maps compared to NNLS, despite the purely voxelwise analysis, and additionally yields novel MWF uncertainty estimates. |
| 2794 | Computer 91
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Individual-specific TBSS of diffusion and relaxometry measures reveal differences of global white matter in autistic individuals |
| Jose Guerrero-Gonzalez1, Olivia Surgent2, Nagesh Adluru3, Gregory Kirk3, Steven Kecskemeti3, Douglas Dean III1, Brittany Travers4, and Andrew Alexander1 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Neuroscience Training Program, Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 3Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 4Kinesiology, University of Wisconsin - Madison, Madison, WI, United States |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques, Autism For neurological conditions that effect brain regions differently across individuals, quantitative neuroimaging-based metrics of individual deviation may be more informative in characterizing neuroanatomical variation including normal from abnormal variations than commonly used group-wise analyses. This work uses a joint analysis of iTBSS (individual-specific Tract-Based Spatial Statistics) of multiple neuroimaging measures from diffusion and relaxometry to better characterize differences between autistic and non-autistic individuals. |
| 2795 | Computer 92
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Measures of vascular function influence the number and volume of white matter hyperintensities in older, hypertensive subjects |
| Andrew Crofts1, Jessica Steventon2, Joseph Whittaker3, Marcello Venzi3, Hannah Chandler4, Michael Germuska4, Mahfoudha Al Shezawi5, Eric Stohr5, Chris Pugh5, Barry McDonnell5, and Kevin Murphy3 | ||
1National Institute for Quantum and Radiological Science and Technology, Chiba, Japan, 2CUBRIC, School of Medicine, Cardiff University, Cardiff, United Kingdom, 3CUBRIC, School of Physica and Astronomy, Cardiff University, Cardiff, United Kingdom, 4CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 5Cardiff Metropolitan University, Cardiff, United Kingdom |
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Keywords: White Matter, Aging Damage to the deep white matter of the brain has been shown to correlate with hypertension and advanced age. However, the changes in the cerebral microvasculature that cause white matter lesions are unclear. Increased blood pressure causes morphological changes in cerebral vessels, and impaired vascular function and neurovascular coupling is a potential factor. Here, we demonstrate that age, central pulse pressure, and dual-echo MRI measures of CBF, CVR, CMRO2 and OEF influence the number and volume of white matter hyperintensities. |
| 2796 | Computer 93
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Fast T1 mapping of whole brain using Multiplied Added Subtracted Divided Inversion Recovery (MASDIR) |
| Letizia Losa1, Denis Peruzzo1, Graeme Bydder2, and Nivedita Agarwal3 | ||
1CESNE, IRCCS E. Medea, Bosisio Parini, Italy, 2Department of Radiology, University of California, San Diego, San Diego, CA, United States, 3Neuroradiology, IRCCS E. Medea, Bosisio Parini, Italy |
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Keywords: White Matter, Quantitative Imaging, T1 mapping Whole brain T1 mapping has been performed using several different sequences but remains mostly confined to research applications. A clinically reliable and fast method to evaluate the white matter (WM) is important for accurate diagnosis, evaluating the severity of disease and monitoring disease progression over time. In this study we assessed Multiplied, Added, Subtracted and/or Divided Inversion Recovery (MASDIR) technique in nine healthy subjects and found evidence that such technique greatly improves the visualisation of tissue of interest and allows calculation of T1 values in a reliable, fast and clinically usable manner. |
| 2797 | Computer 94
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Unsupervised Super-Resolution of Magnetic Resonance Images Using Deep Image Prior |
| Geng Chen#1,2, Hao Yang#1, Lemroussi Wissal1, Yong Xia*1, and Pew-Thian Yap*2 | ||
1Northwestern Polytechnical University, Xi'an, China, 2University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques The anatomical resolution of MRI is typically limited by acquisition time constraints. While deep learning networks have shown great potential for post-acquisition MRI resolution enhancement, their training typically relies on low-high resolution image pairs, which are not always available in practice. Here, we propose using deep image prior (DIP) for unsupervised MRI resolution enhancement with network training relying only on low-resolution images. Experimental results indicate that our method super-resolve MR images effectively with realistic details. |
| 2798 | Computer 95
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Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) on variable diffusion times |
| Won Beom Jung1, Jaekyun Ryu1, Chuluunbaatar Otgonbaatar2, Jeonghak Song3, Juho Kim1, and Hackjoon Shim1,3 | ||
1Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Korea, Republic of, 2College of Medicine, Seoul National University, Seoul, Korea, Republic of, 3Magnetic Resonance Business Unit, Canon Medical Systems Korea, Seoul, Korea, Republic of |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques Diffusion tensor imaging (DTI) allows noninvasively to investigate the function of glymphatic system with ALPS index by utilizing the behavior of water molecules along the perivascular space. The effects of diffusion time with fixed TE for the evaluation of glymphatic system using diffusion tensor imaging have not been investigated. Here, we evaluated the effects of DTI with different diffusion time to ALPS index in the glymphatic system. |
| 2799 | Computer 96
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Radiation Dependent Demyelination in Normal Appearing White Matter in Glioma Patients, Determined Using Quantitative MRI |
| Anna Ljusberg1,2, Ida Blystad2,3, Peter Lundberg1,2, Emelie Adolfsson1, and Anders Tisell1,2 | ||
1Department of Medical Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Image science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Radiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden |
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Keywords: White Matter, Radiotherapy Adding quantitative MRI to existing examinations for patients with malignant glioma is valuable for observing changes in tissue specific parameters such as R1, R2, proton density and myelin concentration. Changes observed in this study, with a decrease of myelin concentration and increase of proton density, in normal appearing white matter can be interpreted as a demyelination caused by radiation therapy. For low doses (<30 Gy), but not for high (>30 Gy) the myelin concentration returns to baseline. |
| 2800 | Computer 97
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Macromolecular proton fraction as a biomarker of early myelination: ultrastructural and immunochemical validation in a rabbit model |
| Alexander Drobyshevsky1, Daniil Aksenov1, and Vasiliy Yarnykh2 | ||
1NorthShore University HealthSystems, Evanston, IL, United States, 2Radiology, University of Washington, Seattle, WA, United States |
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Keywords: White Matter, Quantitative Imaging, myelin Ultrastructural and immunochemical methods of myelin quantification were applied to validate a model-based MRI techniques, macromolecular proton fraction mapping (MPF), during early development in major white matter tracts and cerebral cortex in rabbits. MPF trajectories were in general agreement with levels of myelination by histology and accurately reflected differential rate of development between white matter tracts and cortical regions. |
| 2801 | Computer 98
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Comparison of machine learning models for discriminating obsessive-compulsive disorder based on automated fiber quantification |
| Suming Zhang1, Xuan Bu2, Lingxiao Cao1, Hailong Li1, Kaili Liang1, Zilin Zhou1, Yingxue Gao1, Lianqing Zhang1, Bin Li3, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 3Mental Health Center, West China Hospital of Sichuan University, Chengdu, China |
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Keywords: White Matter, Diffusion Tensor Imaging In this study, we compared the classification performance of different machine learning models for discriminating OCD patients based on DTI tractography. Firstly, we extracted DTI metrics and tract volumes as features. Following feature selection, four machine learning models were performed for classification. Finally, a novel SHapley Additive exPlanations (SHAP) analysis was used to intepret the value of importance for each feature. We found that XGBoost exhibited the best classification performance among the four models. The model explanation by SHAP suggested that the volume of callosal orbital frontal tract was the most important factor in differentiating OCD from healthy controls. |
| 2802 | Computer 99
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Modified cerebral small vessel disease total burden is useful to screening study based on community people |
| Ronghua Mu1, Wei Zheng1,2, Xiaoyan Qin1, Xin Li1, Kan Deng3, Fuzhen Liu1, Zeyu Zhuang1,2, Peng Yang1, Jian Lv1, and Xiqi Zhu1 | ||
1the Nanxishan Hospital, Guangxi Zhuang Autonomous Region, guilin, China, 2Graduate School of Guilin Medical University, guilin, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: White Matter, White Matter The objective of this study was to create a modified total load score suitable for community screening study by modifying mild WMH and EPVS. Our study found NCT-A (DST) variable abnormalities even in people with mild EPVS and WMH, suggesting that modified cerebral small vessel disease total burden is useful to screening study based on community people. |
| 2803 | Computer 100
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Myelin quantification: is it possible to obtain comparable g-ratio maps from different acquisition techniques? |
| Marta Gaviraghi1, Eleonora Lupi1, Simone Rancati2, Fulvia Palesi1, Francesco Grussu3,4, Marco Battiston3, Carmen Tur3,4, Alberto Calvi3, Sara Collorone3, Antonio Ricciardi3, Ferran Prados3,5,6, Baris Kanber3,7, Egidio D'Angelo1,8, Rebecca S. Samson3, and Claudia A. M. Gandini Wheeler-Kingshott1,3,8 | ||
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 3NMR Research Unit, Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London (UCL), London, United Kingdom, 4Neurology-Neuroimmunology Department Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 5Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 6E-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain, 7Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London, Italy, 8Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: White Matter, Multi-Contrast, Myelin Quantifying myelin in vivo with MRI is useful for studying multiple sclerosis by calculating the g-ratio. To estimate the g-ratio, special sequences often must be set. We have developed a preliminary method for calculating g-ratio from clinical images i.e. T1w and T2w. We then compared three methods to obtain the g-ratio: from quantitative Magnetization Transfer (qMT) (gold standard), from Macromolecular Tissue Volume (MTV) and from T1w/T2w. The MTV (g_MTV) and T1w/T2w (g_T1wT2w) g-ratios were different from the qMT g-ratio (g_qMT). g_MTV flattens differences between healthy and pathological subjects whereas g_T1wT2w has the same median trend as g_qMT. |
| 2804 | Computer 101
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Reduced dynamism of brain activity underlying spatial deficits in subjective cognitive decline |
| Qian Chen1,2 and Bing Zhang1,2 | ||
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China |
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Keywords: Alzheimer's Disease, fMRI (resting state), subjective cognitive decline The alterations of brain dynamics and the associations with spatial navigation in individuals with subjective cognitive decline (SCD) remain unknown. In this study, 12 states with distinct brain activity were identified in a cohort of 80 SCD and 77 normal control (NC) participants using the hidden Markov model (HMM). The SCD group showed an inability to dynamically upregulate and downregulate the state with general network activation. Significant correlations between brain dynamics and spatial navigation were observed. The combined features of spatial navigation and brain dynamics showed an area under the curve of 0.854 in distinguishing between SCD and NC. |
| 2805 | Computer 102
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Non-invasive MRI of Blood-Cerebrospinal-Fluid-Barrier Function: A Novel Functional Biomarker of Alzheimer's Disease Pathology |
| Charith Perera1, Renata Cruz2, Noam Shemesh2, David L. Thomas3,4,5, Jack Wells1, and Andrada Ianus2 | ||
1UCL Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom, 2Champalimaud Foundation, Lisbon, Portugal, 3Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation,, UCL Queen Square Institute of Neurology, London, United Kingdom, 4Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom, 5Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, United Kingdom |
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Keywords: Alzheimer's Disease, Arterial spin labelling Alzheimer’s disease (AD) is characterised by many pathophysiological changes, such as the accumulation of amyloid-β. The clearing of detrimental agents, including amyloid-β proteins, from brain tissue is linked to the function of choroid plexus (CP) or blood-cerebrospinal fluid barrier (BCSFB).This study investigates for the first time BCSFB function using non-invasive ASL-based methods in a mouse model of AD. Significantly higher values of total BCSFB-mediated water delivery in AD mice relative to controls were observed as early as 8 weeks of age, and a possible (though currently non-significant) correlation with behavioural tests was identified. |
| 2806 | Computer 103
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Glymphatic Dysfunction Mediates the Influence of White Matter Hyperintensities on Episodic Memory in Cerebral Small Vessel Disease |
| Zhihong Ke1, Yuting Mo1, and Yun Xu1 | ||
1Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China, nanjing, China |
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Keywords: Dementia, Dementia In this study, we used the diffusion tensor image analysis along the perivascular space (ALPS)-index to evaluate glymphatic function and highlighted the reliability of using the ALPS-index in the early recognition of cognitive impairment (CI) in cerebral small vessel disease (CSVD) patients. We reported that 1) ALPS-index was a sensitive indicator to distinguish mild CI (MCI); 2) ALPS-index was an independent influencing factor of episodic memory in CSVD patients with MCI; 3) ALPS-index mediated the relationship between white matter hyperintensities and episodic memory in CSVD patients with MCI. |
| 2807 | Computer 104
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Functional-structural decoupling in visual network is associated with cognitive decline in patients with type 2 diabetes mellitus. |
| Minhua Ni1, Zeyang Li1, Ying Yu1, Sining Li1, Linfeng Yan1, and Guangbin Cui1 | ||
1Tangdu Hospital, Xi`an, China |
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Keywords: Dementia, fMRI (resting state) In this study, functional and structural changes in visual network (VN) of type 2 diabetes mellitus (T2DM) were investigated using multimodal magnetic resonance imaging. We explored degree centrality (DC), amplitude of low frequency fluctuation (ALFF), fractional anisotropy (FA), DC-FA and ALFF-FA in VN. Compared with healthy controls, deteriorated DC, ALFF and DC-FA coefficients in VN were observed in T2DM. These indicators showed positive correlations with cognitive function in T2DM, especially memory and executive function. Functional-structural decoupling may be a potential image biomarker of cognitive function change in T2DM. |
| 2808 | Computer 105
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Hippocampal sLASER 1H-MRS in cognitively unimpaired elderly: Associations with APOE4, CSF p-tau181 and MR morphometry |
| Anna Marie Chen1, Martin Gajdošík1,2, Rosemary Peralta1, Helena Zheng1, Mia Gajdošík1, Mickael Tordjman1,3, Julia Zabludovsky1, Dishari Azad4, Ajax George1, Henry Rusinek1,4, Yuxin Zhang5, LianLian Chen5, Guillaume Madelin1, Christoph Juchem2,6, Ricardo Osorio4, and Ivan Kirov1,7,8 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Biomedical Engineering, Columbia University, New York, NY, United States, 3Department of Radiology, Cochin Hospital, Paris, France, 4Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 5Department of Biostatistics, New York University School of Global Public Health, New York, NY, United States, 6Department of Radiology, Columbia University, New York, NY, United States, 7Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 8Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Alzheimer's Disease, Gray Matter, Hippocampus The hippocampus, a vulnerable structure in Alzheimer’s disease progression, is one of the most challenging brain structures for 1H-MRS applications. To examine whether hippocampal metabolic dysfunction in cognitively normal elderly may contribute to disease pathology, we used a validated long-TE sLASER sequence to minimize macromolecular signal contamination and chemical shift displacement errors. We tested whether, after adjusting for age, metabolites were associated with APOE4 genotype, a risk factor for amyloid accumulation; and CSF p-tau181 and left hippocampal volume, indicators of tau burden and neurodegeneration, respectively. The main result was a statistically significant direct correlation between Glx and CSF p-tau181. |
| 2809 | Computer 106
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Microstructural neurodegeneration of the entorhinal-hippocampus pathway in preclinical Alzheimer’s disease: ex vivo 11.7T MRI and histology |
| Yuto Uchida1, Kengo Onda1, Jill Chotiyanonta1, Zhipeng Hou1, Juan Troncoso2, Susumu Mori1, and Kenichi Oishi1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Keywords: Alzheimer's Disease, Microstructure Conventional neuroimaging biomarkers for the neurodegeneration of Alzheimer’s disease (AD) are not sensitive enough to detect neurodegenerative alterations in preclinical AD individuals. We aimed to examine microstructural neurodegeneration of the entorhinal-hippocampus pathway during the pathological process of AD. Our ex vivo comparative study of 11.7T MRI and histology successfully visualized microstructural neurodegeneration of the entorhinal-hippocampus pathway in preclinical AD brain tissues. In a future study, we aim to translate the findings from ex vivo 11.7T MRI and histology into in vivo MRI clinical research for preclinical AD individuals. |
| 2810 | Computer 107
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Brain Age Prediction using optimized MRI Brain Features: A novel strategy to understand Aging and Aging Associated Pathologies |
| Arkaprava Majumdar1, Neha Yadav1, and Vivek Tiwari1 | ||
1Department of Biological Sciences, Indian Institute of Science Education and Research Berhampur, Berhampur, India |
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Keywords: Dementia, Modelling, Brain Age A certain subset of the aging population maintains the cognitive abilities with minimal structural changes with aging while another subset of people transforms to mild cognitive impairment and dementia with manifold structural variations. Since a subset maintains the cognitive abilities, brain structural volume with aging while another subset undergoes cognitive-impairment and drastic brain structure alterations, we believe that the brain age pattern is distinct from chronological age. Here, we have used a set of MRI determined brain volumetry to determine the brain age as a measure of normal and pathological aging. |
| 2811 | Computer 108
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Validation Study of MRI Contrast Agent of Gd-DOTA Conjugated to DNA Aptamer for Detecting Oligomeric Amyloid-beta |
| Geon-Ho Jahng1, Sang-Tae Kim2, Hyug-Gi Kim3, Yu Mi Kim2, and Jee-Hyun Cho4 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Neuroscience of Lab, Seoul National University College of Medicine, Seongnam city, Korea, Republic of, 3Radiology, Kyung Hee University Hospital, Seoul, Korea, Republic of, 4Korea Basic Science Institute, Cheongju-si, Korea, Republic of |
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Keywords: Alzheimer's Disease, Molecular Imaging The oligomeric amyloid-b (oAβ) is a reliable feature for an early diagnosis of Alzheimer's disease (AD). Therefore, the objective of this study was to demonstrate imaging of oAβ deposits using our developed DNA aptamer called ob5 conjugated with gadolinium (Gd)- DOTA as a contrast agent for early diagnosis of AD using MRI. An oAβ-specific aptamer was developed by amide bond formation and conjugated to Gd-DOTA MRI contrast agent and/or cyanine5 (cy5). We verified the performance of our new contrast agent with AD model mice using In vivo and ex vivo fluorescent imaging and animal MRI experiments. |
| 2812 | Computer 109
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On the prediction of cognitive impairment trajectories from anatomical MRI in ADNI: preliminary results |
| Bruno Hebling Vieira1,2,3 and Nicolas Langer1,2,3 | ||
1Methods of Plasticity Research, Department of Psychology, University of Zurich, Zürich, Switzerland, 2Neuroscience Center Zurich (ZNZ), UZH & ETHZ, Zürich, Switzerland, 3University Research Priority Program (URPP) Dynamic of Healthy Aging, University of Zurich, Zürich, Switzerland |
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Keywords: Alzheimer's Disease, Neurodegeneration We predict yearly differences in MMSE and CDR-SOB using data from the ADNI cohort ranging from five years before to five years after the imaging session. We show that models that use embeddings from a deep-learning model trained to predict brain-age or models that use bilateral hippocampi, amygdalae, and accumbens perform approximately the same as models that use baseline cognitive scores as inputs. This has potential ramifications for both clinical machine learning applications and the neurobiology of cognitive decline. In future work, we will finetune the deep-learning model and substantially increase the sample size. |
| 2813 | Computer 110
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Longitudinal changes in hippocampal texture from healthy aging to Alzheimer’s disease |
| Alfie Wearn1, Lars Lau Raket2,3, and Nathan Spreng1,4,5,6 | ||
1Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 2Clinical Memory Research Unit, Lund University, Lund, Sweden, 3Novo Nordisk A/S, Søborg, Denmark, 4McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada, 5Departments of Psychology and Psychiatry, McGill University, Montreal, QC, Canada, 6Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada |
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Keywords: Alzheimer's Disease, Preclinical Microstructural brain changes caused by early Alzheimer’s disease neuropathology may cause subtle changes in MR signal that are quantifiable using texture analysis, a branch of radiomics. We used cross-sectional and longitudinal analysis techniques in the ADNI dataset to examine changes in texture across the disease continuum. We found that biomarker positive but cognitively healthy older adults had measurably different hippocampal texture than those without biomarker risk. Longitudinal modelling revealed progressive textural change with disease severity, but with high inter-subject variability. Nonetheless, hippocampal texture provided additional information to volume in predicting cognitive decline in older adults without a diagnosis of dementia. |
| 2814 | Computer 111
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Comparability of mcTFI QSM and 2D GRE CMB Detection: Implications for for Alzheimer’s Anti-Amyloid Therapy |
| Nikita Seth1, Geunwon Kim2, Magdy Selim3, Ajith J Thomas4, Aristotelis Filippidis5, Yan Wen6, Pascal Spincemaille7, Yi Wang7, and Salil Soman1 | ||
1Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2Atrius Health, Boston, MA, United States, 3Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 4Department of Neurological Surgery, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, NJ, United States, 5Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 6GE Healthcare, New York, NY, United States, 7Department of Radiology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Alzheimer's Disease, Quantitative Susceptibility mapping, CMB, 2D GRE, mcTFI, Anti-amyloid therapy Cerebral microbleeds/microhemorrhages (CMB) are used for risk stratification, including for the hemorrhagic complication ARIA-H of Alzheimer’s anti-amyloid therapy. For AD, risk information is based on many trials using 2DGRE technique, which is MRI field and parameter dependent. The use of techniques that better distinguish CMB mimics, like calcifications, is limited by an unclear relationship to 2D GRE CMB depiction. In this study we found the number of CMB candidate lesions between 2D GRE and mcTFI QSM obtained during the same scan session highly correlated, suggesting mcTFI could be used in the management of pathologies evaluating presence and number of CMBs. |
| 2815 | Computer 112
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Ultra-High Resolution QSM of the Brain Iron Metabolism in the Cognitively Declined Adults at 7T MRI |
| Akbar Alipour1, Pinar S Ozbay2, Ameen Alqadi1, Mackenzie Langan1, Mehmet Kurt3, Trey Hedden 4, Bradley N Delman1, and Priti Balchandani1 | ||
1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Biomedical Engineering, Boğaziçi University, Istanbul, Turkey, 3Department of Mechanical Engineering, University of Washington, Seattle, WA, United States, 4Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Alzheimer's Disease, Quantitative Susceptibility mapping Detection of iron aggregations associated with beta-amyloid in Alzheimer’s disease would help to understand the related pathophysiology in these cohorts. Aggregations of iron associated beta-amyloid should increase electron density and induce notable changes in local susceptibility value. With higher susceptibility at ultra-high field strengths, induced iron susceptibility is large enough to generate contrast relative to surrounding normal tissues that can be visualized by quantitative susceptibility techniques at 7 Tesla MRI. In this study, we used 7T MRI to analyze the iron-related pathologic markers in Alzheimer patients using the quantitative susceptibility mapping technique. |
| 2816 | Computer 113
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Investigation of iron content changes in Alzheimer's disease and mild cognitive impairment using quantitative susceptibility mapping |
| Chuan-Bin Huang1, Yong Zhang2, Ke-Xue Deng1, and Chang Liu1 | ||
1Radiology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China, 2GE Healthcare, Shanghai, China |
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Keywords: Alzheimer's Disease, Quantitative Susceptibility mapping This study investigated iron content changes using Quantitative Susceptibility Mapping (QSM) technique in AD and MCI patients, as compared with normal controls, and correlated iron deposit levels with cognitive scores to assess the clinical values of QSM in the diagnosis of AD and MCI. Bilateral caudate nucleus and right putamen showed significantly increased QSM values in AD and MCI patients as compared to healthy controls. The QSM values of right caudate nucleus correlated with the MMSE scores of AD patients. These results might indicate QSM as the potential biomarker for clinical diagnosis of AD and MCI. |
| 2817 | Computer 114
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Evaluation of relationship between trigeminal nerve stimulation and hemodynamics using 4D-Flow MRI: A pilot study in swine model |
| Mu-Lan Jen1, Nishant Verma2,3, Kevin P Cheng2,3, Robert Moskwa1, Grant S Roberts1, Maria Laluzerne2,3, Jennifer Frank2,3, Justin Williams2,3, Wally Block1, Kip Ludwig2,3,4, and Kevin M Johnson1,5 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Wisconsin Institute for Translational Neuroengineering (WITNe) – Madison, Madison, WI, United States, 4Neurosurgery, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Alzheimer's Disease, Velocity & Flow This study utilizes 4D-Flow imaging to evaluate hemodynamic alterations during the period of nerve stimulation and investigates cerebral blood flow changes modulated by using 4D-Flow MRI in large animal models. Preliminary results showed cerebral blood flow increases while flow pulsatility decreases with the electrical stimulation of trigeminal nerves. This effect from neuromodulation is on the contrary to the hemodynamic alterations with aging and AD progression, which implies the potential of neuromodulation as an alternative treatment approach in repairing glymphatic system function. |
| 2818 | Computer 115
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Comparison of MR Spectroscopy of Probable Alzheimer’s Disease and Symptoms of Chronic Traumatic Encephalopathy |
| Jessica J. Chen1, Michael L. Alosco2, Huijun Liao1, Inga K. Koerte3,4, Martha E. Shenton3, Robert A. Stern5, and Alexander P. Lin1 | ||
1Center for Clinical Spectroscopy,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 2Boston University School of Medicine, Department of Neurology, Boston University Alzheimer's Disease and CTE Centers, Boston, MA, United States, 3Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 4Department of Child and Adolescent Psychiatry, Psychosomatic, and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany, 5Neurosurgery, and Anatomy & Neurobiology, Departments of Neurology, Boston University Alzheimer’s Disease and CTE Center, Boston, MA, United States |
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Keywords: Alzheimer's Disease, Spectroscopy, traumatic brain injury, chronic traumatic encephalopathy Chronic traumatic encephalopathy (CTE) is widely found in individuals exposed to repetitive head impacts (RHI) in organized contact sports, such as football. Previous findings have determined that there is a distinct deposition of phosphorylated tau (p-tau) in its neuropathology compared to other tauopathies, including Alzheimer’s disease. However, there is a lack of diagnostic criteria that examine later-life neurochemical changes due to long-term neurologic consequences to RHI. This study uses magnetic resonance spectroscopy (MRS) to compare neurochemical markers between participants with probable Alzheimer’s disease and symptomatic chronic traumatic encephalopathy in relation to healthy controls. |
| 2819 | Computer 116
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Discovering the Metabolomic Relationships between Lung Cancer and Alzheimer’s Disease using Nuclear Magnetic Resonance Spectroscopy |
| Leo Ling Cheng1,2, Zuzanna Kobus1,2,3, Marta Kobus1,2,4, Li Su5, and David C. Christiani5 | ||
1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Charité - Universitätsmedizin Berlin, Berlin, Germany, 4Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 5Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States |
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Keywords: Alzheimer's Disease, Spectroscopy, Metabolomics Herein, we report our preliminary data on metabolomic associations between human lung cancer (LuCa) and Alzheimer’s disease (AD) measured from serum samples using high resolution magic angle spinning (HRMAS) MRS. The current project’s objective is to establish MRS-based tissue pathology-guided serum metabolomic profiles for matched LuCa patients, with and without AD, by comparing serum profiles measured from matched healthy controls. Initial results demonstrate the feasibility of HRMAS MRS for LuCa-AD metabolomic mechanisms investigation. Our findings serve as a foundation for innovative future diagnostic and treatment studies. |
| 2820 | Computer 117
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4D flow MRI reveals cerebrovascular changes in early Alzheimer’s disease |
| Ayah Elsayed1, Tracy Melzer2,3,4, Lynette Tippett5, and Catherine Morgan5,6 | ||
1Faculty of Health & Environmental Studies, Auckland University of Technology, Auckland, New Zealand, 2Department of Medicine, University of Otago, Christchurch, New Zealand, 3NZ Brain Research Institute, Christchurch, New Zealand, 4School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand, 5Department of Psychology, University of Auckland, Auckland, New Zealand, 6Centre for Advanced MRI, University of Auckland, Auckland, New Zealand |
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Keywords: Alzheimer's Disease, Velocity & Flow Currently 50 million people suffer from Alzheimer’s disease (AD), the most common form of dementia, yet treatment options are limited. A growing focus on the contribution of cerebrovascular (CV) health presents new possible targets for treatment. We investigated novel CV imaging markers using 4D flow MRI in a total of 43 participants with mild cognitive impairment, early AD and controls. Both the MCI and AD group had significantly reduced mean blood flow in the larger vessels of the Circle of Willis. A significantly increased pulsatility index (indicative of poorer vessel compliance) was found in the AD group compared to controls. |
| 2821 | Computer 118
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Identifying fiber tracts strategic for cognitive impairments in cerebral small vessel disease with harmonized diffusion MRI |
| Peiyu Huang1, Carolina Canelas Valentim2, Geert-Jan Biessels2, Christopher Chen3, Anna Dewenter4, Marco Duering4,5, Saima Hilal3, Huiberdina L Koek6, Anna Kopczak4, Bonnie Yin Ka Lam7, Alexander Leemans8, Vincent Mok7, Laurien Onkenhout2, Hilde van den Brink2, and Alberto De Luca9 | ||
1Department of Radiology, Zheijang University School of Medicine,, Hangzhou, China, 2UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands, 3Aging and Cognition Center, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 4Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany, 5Medical Image Analysis Center, University of Basel, Basel, Switzerland, 6Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, Netherlands, 7Division Neurology, The Chinese University of Hong Kong, Hong Kong, China, 8Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 9Division Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Dementia, White Matter Small vessel disease (SVD) is a worldwide leading cause of dementia. Damage to white matter tracts is a key mechanism through which SVD impacts cognition. In this work, we leverage a large multicenter dataset of patients with SVD to investigate which white matter tracts are strategic in SVD, that is, robustly associated with cognitive decline. Our early results show that the corpus callosum, superior longitudinal fasciculus and thalamo parietal tracts were the most associated to processing speed, verbal memory and executive function, respectively. Tract-based measures explained additional variance (2-5%) as compared to whole brain measures. |
| 2822 | Computer 119
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Relationship between white matter hyperintensity load and cognitive decline in patients with carotid artery stenosis |
| Wen Zhang1, Xiance Zhao2, and Bing Zhang1 | ||
1Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Dementia, White Matter, carotid artery stenosis Patients with carotid artery stenosis (CAS) have a high prevalence of cognitive impairment. White matter hyperintensity (WMH) is one of the most common imaging signs of chronic brain injury in the elderly. We investigated the relationship between WMH load and cognitive decline in CAS patients. Our results suggested that Fazekas score and WMH volume quantification can be a potential simple biomarker for predicting cognitive function in CAS patients. |
| 2823 | Computer 120
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Functional connectivity changes of olfactory neural circuits in Subjective Cognitive Decline under task fMRI |
| Yajing Zhu1, Xin Zhang1, and Bing Zhang1 | ||
1Department of Radiology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, fMRI Analysis of functional connectivity changes of olfactory neural circuits in subjective cognitive decline(SCD)under specific odor stimuli using generalized physiological and psychological interactions. |
| 2824 | Computer 121
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SWI and MRSI Unite! Metabolic Insights into Iron Deposition in Relapsing-Remitting MS via 7T Magnetic Resonance Spectroscopic Imaging |
| Alexandra Lipka1, Wolfgang Bogner1, Assunta Dal-Bianco2, Gilbert Hangel1,3, Paulus Rommer2, Bernhard Strasser1, Stanislav Motyka1, Lukas Hingerl1, Thomas Berger2, Fritz Leutmezer2, Stephan Gruber1, Siegfried Trattnig1,4, and Eva Niess1 | ||
1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, High Field MR Centre, Vienna, Austria, 2Medical University of Vienna, Department of Neurology, Vienna, Austria, 3Medical University of Vienna, Department of Neurosurgery, Vienna, Austria, 4Karl Landsteiner Institute for Clinical Molecular MRI in Musculoskeletal System, Vienna, Austria |
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Keywords: Multiple Sclerosis, Multiple Sclerosis Besides clinical examination, conventional T1/T2-weighted magnetic resonance imaging (cMRI) is the method of choice for diagnosis and treatment monitoring of Multiple Sclerosis (MS). In contrast to cMRI, which - in MS - can only depict the severity of irreversible tissue damage and is not able to explain underlying pathological processes, MR Spectroscopic Imaging (MRSI) can detect pathologies on a biochemical level, while Susceptibility Weighted Imaging (SWI) provides information about iron deposition. In 31 relapsing-remitting (RRMS) patients, we investigate - via ultra-high resolution FID-MRSI at 7T - metabolic characteristics of different types of iron accumulation and the metabolic distribution within lesions and their vicinity. |
| 2825 | Computer 122
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Tissue damage and impaired processing speed are related to brain parenchyma free water fraction in multiple sclerosis |
| Alessandra S. Caporale1,2, Antonio M. Chiarelli1,2, Emma Biondetti1,2, Alessandro Villani1,2, Ilona Lipp3, Valentina Tomassini1,2,4,5, and Richard G. Wise1,2,5 | ||
1Department of Neurosciences, Imaging and Clinical Sciences, 'G. d'Annunzio University' of Chieti-Pescara, Chieti, Italy, 2Institute for Advanced Biomedical Technologies (ITAB), 'G. d'Annunzio University' of Chieti-Pescara, Chieti, Italy, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4MS Centre, Department of Clinical Neurology, ‘SS. Annunziata’ University Hospital, Chieti, Italy, 5Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom |
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Keywords: Multiple Sclerosis, White Matter, normal appearing white matter, neurodegeneration, cognitive impairment In 99 relapsing-remitting multiple sclerosis (MS) patients and 25 healthy controls we quantified cerebral free water fraction (FWF) and investigated its relationship with lesion burden and information processing speed, measured with Symbol Digit Modalities Test (SDMT). FWF was obtained from the mcDESPOT method, fitting a three-compartment relaxation model to spoiled-gradient-echo and balanced-SSFP signals with varying flip angles. MS patients showed higher FWF than controls, in the lesioned tissue and in normal appearing white matter (NAWM). In NAWM and perilesional tissue, FWF correlated with lesion load. FWF spatial heterogeneity increased with worsening SDMT performance in regions involved in MS-related cognitive impairment. |
| 2826 | Computer 123
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Comparison of chi-separation and chi-separation*: A clinical feasibility study |
| Jinhee Jang1, Hyeong-Geol Shin2,3, Minjun Kim4, Hyebin Lee1, and Woojun Kim5 | ||
1Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of, 2Radiology, Johns Hopkins University, Baltimore, MD, United States, 3F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 5Neurology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of |
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Keywords: Multiple Sclerosis, Quantitative Susceptibility mapping While χ-separation gives unique and valuable information, requirement of R2 limited its clinical application. This study assessed the clinical feasibility of two R2*-based magnetic source separation. From 24 MR scans of MS subjects, four sets of magnetic source separation maps were generated; (1) χ-separation (originally proposed method), (2) χ-separation* (exploiting R2*), (3) χ-sepnet (DL-based), and (4) χ-sepnet* (DL-based, utilizing R2*). χ-separation* and χ-sepnet* showed good agreement to χ-separation and χ-sepnet in MS lesions and the brain. However, there are small but consistent biases in each method, which are important caveats for R2*-based χ-separation. These biases were relatively smaller in χ-sepnet*. |
| 2827 | Computer 124
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7-Tesla in vivo 1H-MRS-measured prefrontal glutathione increases during oral fumarate therapy in relapsing-remitting multiple sclerosis |
| Kelley M. Swanberg1, Hetty Prinsen2, Daniel Pelletier2,3, and Christoph Juchem1,2,4,5 | ||
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States, 3Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States, 4Neurology, Yale University School of Medicine, New Haven, CT, United States, 5Radiology, Columbia University Irving Medical Center, New York, NY, United States |
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Keywords: Multiple Sclerosis, Spectroscopy, dimethyl fumarate, glutathione, oxidative stress Multiple sclerosis (MS) is an autoimmune disease that damages the central nervous system. Oxidative stress, thought to play a role in MS-related pathophysiology, can be modulated in the cell by endogenous antioxidants such as glutathione (GSH), hypothesized to participate in the therapeutic effect of MS disease-modifying therapy dimethyl fumarate. We used proton magnetic resonance spectroscopy (1H MRS) to measure in vivo cortical glutathione concentrations in individuals with relapsing-remitting multiple sclerosis (RR-MS) before and during 12 months of dimethyl fumarate therapy and observed a significant positive effect of time on prefrontal cortex glutathione. No such change was shown in healthy controls. |
| 2828 | Computer 125
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Time-dependent Diffusion in Acute and Chronic Plaques of Multiple Sclerosis Investigated with Oscillating-gradient Spin-echo. |
| Tomoko Maekawa1, Masaaki Hori1,2, Katsutoshi Murata3, Kouhei Kamiya1,2, Christina Andica1,4, Akifumi Hagiwara1, Shohei Fujita1,5, Koji Kamagata1, Akihiko Wada1, and Shigeki Aoki1 | ||
1Juntendo University School of Medicine, Tokyo, Japan, 2Toho University Omori Medical Center, Tokyo, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Faculty of Health Data Science, Juntendo University, Chiba, Japan, 5The University of Tokyo, Tokyo, Japan |
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Keywords: Multiple Sclerosis, Diffusion/other diffusion imaging techniques, Microstructure The purpose of our study was to investigate the utility of changes in diffusivity between short and long diffusion time in evaluating acute and chronic plaques of multiple sclerosis. Chronic plaques showed weak diffusion time-dependence with diffusion times between 6.5 ms and 35.2 ms. The differences in diffusion time-dependence were attributed to the internal structure of plaques. DWI with a short diffusion time may provide additional information about the microstructure of MS plaques. |
| 2829 | Computer 126
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Myelin Volume Fraction Estimation in Multiple Sclerosis Lesions |
| Mert Şişman1,2, Thanh D. Nguyen2, Alexey V. Dimov2, Melanie Marcille 3, Pascal Spincemaille2, Susan A. Gauthier3, and Yi Wang2,4 | ||
1Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Department of Neurology, Weill Cornell Medicine, New York, NY, United States, 4Biomedical Engineering, Cornell University, Ithaca, NY, United States |
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Keywords: Multiple Sclerosis, White Matter Monitoring myelin content quantitatively is important in the study of Multiple Sclerosis (MS). Here, a novel approach is proposed to estimate myelin volume fraction (MVF) of MS lesions from routine multi-echo gradient echo (mGRE) using biophysical modeling of the myelin sheaths. The obtained MVF values correlated significantly with the myelin water fraction (MWF) values obtained in the same lesions using conventional multicomponent T2 relaxometry. Moreover, the change in MVF values in newly enhancing lesions over the first year also correlated significantly with the change in MWF values over the same period. |
| 2830 | Computer 127
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Z-score maps to characterize spinal cord lesions in MS patients: Toward a semi-automated lesion identification/segmentation method |
| Samira Mchinda1,2,3, Arnaud Le Troter1,2, Sarah Demortière4, Nilser Laines Medina1,2,3, Lauriane PINI1,2, Jean Pelletier1,2,4, Bertrand Audoin1,2,4, and Virginie Callot1,2,3 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3iLab-Spine, International Associated Laboratory, Montreal, Canada, Marseille, France, 4APHM, Hôpital Universitaire Timone, Département de Neurologie, Marseille, France |
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Keywords: Multiple Sclerosis, Spinal Cord, z-score maps Manual segmentation, considered as ground truth, remains time consuming and operator dependent. In this work, a strategy to identify and potentially segment individual cervical spinal cord lesions based on z-score maps(ZM) from 3T quantitative T1-MP2RAGE(T1q) imaging is proposed. All manually segmented lesions could be visually identified in ZM with a lower threshold(LT) of 2. Conversely, Sixty-nine% of the lesions could be isolated automatically using LT=3 and analyzing the characteristics of the ZM clusters in combination with ZM gradient maps. Four patients (/4) without lesions, and 21/23 controls showed no significant cluster. |
| 2831 | Computer 128
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Quantitative T2 measurements of diffusely-abnormal white matter in relapsing-remitting MS patients at baseline |
| Benjamin Charles Musall1, Yanyu Yang2, Arash Kamali1, John A Lincoln3, Vi Ly2, Xi Luo2, Ponnada A Narayana1, Refaat E Gabr1, and Khader M Hasan1 | ||
1Diagnostic and Interventional Imaging, UTHealth McGovern Medical School, Houston, TX, United States, 2Department of Biostatistics and Data Science, University of Texas School of Public Health, Houston, TX, United States, 3Department of Neurology, UTHealth McGovern Medical School, Houston, TX, United States |
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Keywords: Multiple Sclerosis, Quantitative Imaging Quantitative T2 of diffusely-abnormal white matter (DAWM), assessed at baseline in a population of 800 patients with relapsing-remitting MS with U-Net segmentation and T2 mapping, is distinct and intermediate to T2-hyperintense focal lesions and normal-appearing white matter (NAWM). |
| 2832 | Computer 129
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Association of subcortical structural shapes with fatigue in Multiple Sclerosis. |
| Yujing Li1,2, Tingli Yang3, Min Li3, Rui Wang3, Xinying Ren3, Diaohan Xiong3, Kai Ai4, and Jing Zhang3 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Second Clinical School, Lanzhou University, Lanzhou, China, 3Lanzhou University Second Hospital, Lanzhou, China, 4Philips Healthcare, Xi’an, China |
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Keywords: Multiple Sclerosis, Gray Matter This study investigated the shape changes in the subcortical structure of patients with multiple sclerosis (PwMS) and how they are associated with MS-related fatigue. Surface-based vertex analysis was performed on 25 fatigued RRMS (F-MS), 25 non-fatigued RRMS (NF-MS), and 40 healthy controls (HCs). Compared to HCs, PwMS showed regional shape contractions in the areas of bilateral thalamus. The morphological changes in the bilateral thalamus occur only on the side closest to the ventricles. Compared to the NF-MS subgroup, F-MS patients showed regional surface atrophy in the areas of left caudate nucleus, which was negatively correlated with the severity of fatigue. |
| 2833 | Computer 130
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Personalized-NODDI (pNODDI) discriminates between healthy and multiple sclerosis subjects |
| Elena Grosso1, Carmen Tur2,3, Alberto Calvi2, Sara Collorone2, Francesco Grussu2,4, Marco Battiston2, Ferran Prados Carrasco2,5,6, Baris Kanber2,5, Rebecca Samson2, Egidio D'Angelo1,7, Claudia AM Gandini Wheeler-Kingshott1,2,7, and Fulvia Palesi1 | ||
1Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 2NMR Research Unit, Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London (UCL), London, United Kingdom, 3Neurology-Neuroimmunology Department Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 4Radiomics Group, Vall d’Hebron Institute of Oncology, Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain, 5Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 6E-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain, 7Brain Connectivity Centre Research Unit, IRCCS Mondino Foundation, Pavia, Italy |
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Keywords: Multiple Sclerosis, Diffusion/other diffusion imaging techniques, personalised-NODDI Neurite Orientation Dispersion and Density Imaging (NODDI) is a multi-compartmental model for microstructure characterization utilising diffusion-weighted MRI. Here, a recently proposed personalized-NODDI (pNODDI) modelling technique was used to assess microstructural alterations in a cohort of Multiple Sclerosis (MS) patients. Our findings showed that pNODDI metrics were sensitive to MS pathology and could discriminate between healthy controls and MS. Furthermore, pNODDI metrics of key brain regions increased the discriminative power between the two groups. Overall, pNODDI provides a personalized and clinically feasible model for microstructure, increasing sensitivity to pathological alterations. |
| 2834 | Computer 131
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A pilot in vivo study of the sciatic nerve in multiple sclerosis using quantitative magnetic resonance imaging |
| Ratthaporn Boonsuth1,2, Marco Battiston1, Rebecca S. Samson1, Alberto Calvi1,3, Claudia A. M. Gandini Wheeler-Kingshott1,4,5, and Marios C. Yiannakas1 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 2Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand, 3Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases; Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain, 4Brain Connectivity Research Centre, IRCCS Mondino Foundation, Pavia, Italy, 5Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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Keywords: Multiple Sclerosis, Quantitative Imaging, Nerves, Multimodal, Neurography The peripheral nervous system is not routinely examined objectively in multiple sclerosis (MS), despite evidence from neuropathology that demonstrates its implication. In this pilot in vivo study, the sciatic nerve was examined using multi-shell diffusion-weighted imaging, quantitative magnetisation transfer and T1 relaxometry to investigate whether pathological neural tissue damage could be detected in people with relapsing-remitting MS as compared to healthy controls. |
| 2835 | Computer 132
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Lesional and non-lesional cortical integrity in cognitive networks are linked to cognitive impairment in multiple sclerosis. |
| Eva A. Krijnen1,2, Albulena Bajrami1,3, Tommy A.A. Broeders1, Samantha Noteboom1, Piet M. Bouman1, Frederik Barkhof4,5, Bernard M.J. Uitdehaag6, Eric C. Klawiter2, Ismail Koubiyr1, and Menno M. Schoonheim1 | ||
1MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 2Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy, 4MS Center Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 5Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom, 6MS Center Amsterdam, Neurology, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands |
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Keywords: Multiple Sclerosis, Gray Matter, Diffusion/Other Diffusion Imaging Techniques Cognitive functioning in people with multiple sclerosis (MS) is strongly related to cortical lesions (CLs), although the severity of demyelination remains difficult to assess in-vivo. In addition, how the pathological microstructural changes in normal-appearing gray matter relate to cognition also remains unclear. This study assessed how microstructural integrity (based on diffusion MRI) in CLs and normal-appearing cortex relates to cognition in MS. Microstructural integrity changes were most evident in cognitively-impaired MS, especially in the normal-appearing cortex. Regionally, damage was especially related to cognition within cognitive functional networks such as the ventral attention network. |
| 2836 | Computer 133
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Characterization of Paramagnetic Rim Lesions using quantitative and semi-quantitative MRI modalities |
| Agnese Tamanti1, Annalisa Colombi1, Angela Peloso1, Nicola Serafin1, Valentina Camera1, Francesca Benedetta Pizzini2, Marco Castellaro3, and Massimiliano Calabrese2 | ||
1Department of Neurosciences, Biomedicine and Movement sciences, University of Verona, Verona, Italy, 2Neuroradiology Unit, Department of Diagnostics and Pathology, University of Verona, Verona, Italy, 3Department of Information Engineering, University of Padova, Padova, Italy |
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Keywords: Multiple Sclerosis, Multi-Contrast, paramagnetic rim lesions Chronic active lesions have been recently investigated in multiple sclerosis (MS) and associated with the detection of paramagnetic rims on susceptibility-based MRI images (filtered phase and quantitative susceptibility mapping). Quantitative MRI approaches have the potential to reveal the degree of tissue damage in paramagnetic rim lesions. In this study a significant increase in T2* relaxation time and Quantitative Susceptibility Mapping (QSM) as well as a decrease in Magnetization Transfer Ratio (MTR) and Magnetization Transfer Saturation (MTSat) was revealed in PRL+ lesions compared to PRL-, thus supporting the use of these MRI metrics to detect tissue damage associated with chronic activity. |
| 2837 | Computer 134
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Hidden lesions may confound 1H-MRS metabolite quantification by internal water referencing in individuals with multiple sclerosis |
| Catherine M. Medeiros1, Kay C. Igwe1,2, Hetty Prinsen3, Abhinav V. Kurada1, Kelley M. Swanberg1,3, and Christoph Juchem1,3,4,5 | ||
1Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 2Neurology, Columbia University Irving Medical Center, New York, NY, United States, 3Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States, 4Neurology, Yale University School of Medicine, New Haven, CT, United States, 5Radiology, Columbia University Irving Medical Center, New York, NY, United States |
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Keywords: Multiple Sclerosis, Segmentation, Quantification, Water Referencing A current standard practice in proton magnetic resonance spectroscopy (1H-MRS) uses water as an internal reference for absolute metabolite quantification. We investigate how apparent metabolite concentrations might be affected by tissue-level changes, specifically multiple sclerosis lesions, via water versus creatine referencing in voxels considered normal-appearing at time of scan. Our results suggest that multiple possible routes of confound by hidden lesions on metabolite quantification in even normal-appearing tissue should be considered when applying internal water referencing to 1H-MRS studies in cohorts with multiple sclerosis. |
| 2838 | Computer 135
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Feasibility of ultra-fast, high-resolution, T2*-weighted brain imaging using 3D echo-planar imaging and CAIPIRINHA |
| Sreekanth Madhusoodhanan Nair1, Jin Jin2, Fei Han3, Brian Renner1, Elaina Gombos1, Ke Cheng Liu4, Sunil Patil5, John A Derbyshire6, Ken Sakaie7, Emmanuel Obusez7, Jonathan Lee7, Mark Elliott8, Russell T Shinohara9, Matthew K Schindler10, Jae W Song8, Michel Bilello8, Marwa Kaisey1, Omar Al-Louzi1, Nader Binesh11, Marcel Maya11, Javier Galvan11, Hui Han12, Debiao Li12, Andrew Solomon13, Daniel S Reich14, Nancy L Sicotte1, Mark Lowe7, Daniel Ontaneda15, and Pascal Sati1,12 | ||
1Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Siemens Healthcare Pty Ltd, Brisbane, Australia, 3Siemens Medical Solutions, Los Angeles, CA, United States, 4Siemens Medical Solutions, Malvern, PA, United States, 5Siemens Medical Solutions, Baltimore, MD, United States, 6Functional MRI Facility, National Institute of Mental Health, Bethesda, MD, United States, 7Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 8Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 9Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 10Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States, 11Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CO, United States, 12Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 13Larner College of Medicine, The University of Vermont, Burlington, VT, United States, 14Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, CA, United States, 15Mellen Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Multiple Sclerosis, Data Analysis, Parallel Imaging High-resolution T2*-weighted brain imaging using 3D echo planar imaging (3D-EPI) at 3T allows detection of new biomarkers of neurological disorders, such as the central vein sign in multiple sclerosis. However, current 3D-EPI scan times are suboptimal for a widespread implementation in hospitals and private imaging centers. In this study, we evaluated the feasibility of combining 3D-EPI acquisition with different CAIPIRINHA undersampling patterns. A significant reduction in scan time (up to 70% reduction) was achieved without any obvious aliasing artifacts, confirming the feasibility of ultra-fast, high-resolution T2* brain imaging for future clinical applications at 3T. |
| 2839 | Computer 136
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Time- and Signal-Efficient 3T Ultra-High-Resolution Imaging of the Ex Vivo Cerebellum and Entire Human Brain |
| Matthias Weigel1,2,3, Peter Dechent4, Riccardo Galbusera1,2, Erik Bahn5, Ludwig Kappos1,2, Wolfgang Brück5, Christine Stadelmann5, and Cristina Granziera1,2 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland, 2Neurological Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, 3Division of Radiological Physics, Dept. of Radiology, University Hospital Basel, Basel, Switzerland, 4MR-Research in Neurosciences, Department of Cognitive Neurology, University Medical Center Göttingen, Göttingen, Germany, 5Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany |
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Keywords: Multiple Sclerosis, Ex-Vivo Applications Ex Vivo MRI of the entire human brain facilitates new and fascinating insights into cerebral and cerebellar morphology and pathology. One key factor for achieving ultra-high spatial resolutions is a signal- and time-efficient MRI sequence, particularly, at 3T field strength. Though counterintuitive at first notion, we suggest a “slow” balanced steady-state free precession (bSSFP) approach with phase-cycling and very low receiver bandwidth (“LoBa-bSSFP”) as a highly signal- and time-efficient scheme for ex vivo acquisitions. LoBa-bSSFP can support spatial resolutions as high as 98-microns isotropic for covering the entire cerebellum on a common 3T MR system. |
| 2840 | Computer 137
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Assessment of multiple sclerosis pathology with quantitative magnetic resonance imaging |
| Sarah Schlaeger1, Mark Mühlau2, Guillaume Gilbert3, Irene Vavasour4, Thomas Amthor5, Mariya Doneva5, Aurore Menegaux1, Markus Lauerer2, Viola Pongratz2, Claus Zimmer1, Benedikt Wiestler1, Christine Preibisch1,2, Jan Kirschke1, and Ronja C. Berg1,2 | ||
1Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 3MR Clinical Science, Philips Healthcare, Mississauga, ON, Canada, 4Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 5Philips Research Europe, Hamburg, Germany |
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Keywords: Multiple Sclerosis, Brain Quantitative MRI in patients with multiple sclerosis (MS) allows for the objective identification of even subtle pathological changes in lesional, perilesional, NAGM, and NAWM tissue. Routine clinical scan protocols need to be tailored to the most diagnostically relevant MR biomarkers, however, to date only a few studies have investigated the particular diagnostic sensitivity of different MR biomarkers to different structural alterations of brain tissue affected by MS. Therefore, we studied 13 MS patients and 14 healthy controls using multiparametric, quantitative MR: we evaluated and compared the ability of nine different MR biomarkers to detect and characterize MS pathology. |
| 2841 | Computer 138
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New Multiple Sclerosis Lesion Segmentation in Longitudinal FLAIR MR Images using Subtraction Image |
| Junghwa Kang1, Jeongmin Yim2, Jinhee Jang3, and Yoonho Nam1 | ||
1Department of Biomedical engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of, 2College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, 3Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of |
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Keywords: Multiple Sclerosis, Multiple Sclerosis, longitudinal MR, new lesion Measurement of new lesions in longitudinal images is crucial in the evaluation of MS but is laborious and time-consuming. In this study, wWe investigate the effect of subtraction images between two time point FLAIR images on new MS lesion segmentation in longitudinal FLAIR images. The results showed that our method with combination of longitudinal FLAIR images and their subtraction images together helps to improve the accuracy of segmentation of new MS lesion. |
| 2842 | Computer 139
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White Matter Myelin Content and Motor Function in Radiologically Isolated Syndrome and Multiple Sclerosis |
| Irene Margaret Vavasour1, Connor Keane2, Poljanka Johnson3, Joshua Lee2, Adelia Adelia2, Jiwon Oh4, Anthony Traboulsee2, and Shannon Kolind1,2,5 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Medicine, University of British Columbia, Vancouver, BC, Canada, 3Neuroscience, University of British Columbia, Vancouver, BC, Canada, 4Medicine, University of Toronto, Toronto, ON, Canada, 5Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada |
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Keywords: Multiple Sclerosis, Relaxometry, radiologically isolated syndrome, normal-appearing, myelin water fraction, myelin heterogeneity index white matter, motor function Regional myelin water fraction (MWF) in radiologically isolated syndrome (RIS) white matter were compared to relapsing-remitting (RR) and primary-progressive (PP) multiple sclerosis (MS). Results showed myelin damage in some white matter regions of RIS. Early myelin damage in RIS may be associated with subclinical ambulatory dysfunction. Manual dexterity correlated with myelin content in the cortical spinal tract and corpus callosum in PPMS whereas it correlated with myelin heterogeneity in RRMS. These findings suggest that myelin changes in critical white matter tracts have differing impact in gross and fine motor function in RIS and MS subtypes. |
| 2843 | Computer 141
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Altered resting-state connectivity in nasopharyngeal carcinoma patients late stage post-radiotherapy: an Independent Component Analysis |
| Xiaohan Song1 and Lijun Wang1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Head & Neck/ENT, fMRI (resting state) Radiotherapy is the primary treatment modality for patients with Nasopharyngeal carcinoma. However, radiotherapy in the treatment of nasopharyngeal carcinoma will also cause neurocognitive impairment. Previous studies mostly focused on the changes of brain structure in patients with nasopharyngeal carcinoma caused by radiotherapy, but it was reported that there were changes in brain network connectivity before the brain structure was abnormal. So, the purpose of thestudy was to investigate network-level functional connectivity alternations late stage post radiation therapy in Nasopharyngeal carcinoma patients using independent component analysis of rs-fMRI. |
| 2844 | Computer 142
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Therapy effects on the structural connectome of children treated for medulloblastoma |
| John O Glass1, Jia Liang2, Ruitian Song1, Yimei Li2, Giles W Robinson3, Amar Gajjar3, Thomas E Merchant4, and Wilburn E Reddick1 | ||
1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, United States, 3Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States, 4Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States |
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Keywords: Brain Connectivity, Cancer This study reports on the effects of pediatric medulloblastoma therapy in a population of 68 subjects. Structural connectivity was evaluated after surgery and again at the end of both radiation and chemotherapy. Linear models were written for the difference between these two time points controlling for age and risk arm. Fourteen significant edges were found connecting the basal ganglia to the dorsolateral prefrontal and prefrontal cortices as well as the cingulate. These regions are part of the executive function network and may point to the mechanisms of decreases in neurocognitive performance. |
| 2845 | Computer 143
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Altered response of the functional network during pain stimulus in small fiber neuropathy |
| Gerhard Drenthen1, Amir Far2, Catharina Faber2, Jaymin Upadhyay3, David Linden4, Raquel van Gool4, Walter Backes1, Janneke Hoeijmakers2, and Jacobus Jansen1 | ||
1Department of Radiology & Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 3Boston Children's Hospital, Boston, MA, United States, 4School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands |
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Keywords: Brain Connectivity, fMRI (task based), Chornic pain Small fiber neuropathy (SFN) is a neuropathic disorder that is associated with chronic pain, which may have an effect on the functional organization of the brain network. Here, we study the effect of pain on the functional network by applying a painful stimulus block-design during an fMRI acquisition. We show global changes in the functional network for patient with idiopathic and genetic SFN compared to controls. Moreover, self-reported pain scores correlated with nodal importance of the somatosensory cortex (postcentral gyrus) in the pain-evoked cerebral functional network, indicating that the functional network takes an important role in the perception of pain. |
| 2846 | Computer 144
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Disruption of default mode network and salience network dynamics in acute traumatic pain states |
| Prasanna Karunanayaka1, Sara L Mills-Huffnagle1, Corinne M. Augusto1, Aimee Cauffman1, Joshua Hazelton1, Sangam Kanekar1, Andréa Hobkirk1, and Jennifer E Nyland1 | ||
1Pennsylvania State University College of Medicine, Hershey, PA, United States |
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Keywords: Brain Connectivity, Neuro, Pain Persistent and chronic pain following acute musculoskeletal injury is a significant contributor to diminished quality of life. We correlated self-reported pain using the McGill Pain Questionnaire with resting-state brain network connectivity in patients with blunt chest trauma. Results suggest that both inferior parietal and insular cortex connectivity were positively correlated to greater self-reported pain and a region within the salient network showed a negative correlation. These results support the hypothesis that aberrant functioning of brain circuits that assign salience values to stimuli may contribute to pain perception. Understanding abnormal activity/connectivity may identify targets to prevent persistent and chronic pain. |
| 2847 | Computer 145
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The abnormal functional connectivity of the locus coeruleus can classify migraine without aura patients |
| Xiaozheng Liu1, Jinming Chen2, Keyang Chen1, Kun Liu1, Xi Zhang3, Lipeng Dong2, han lu4, Yan Li1, Zhihong Wang5, and Yungang Cao1 | ||
1The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, China, 2The Hebei General Hospital, Shijiazhuang, China, 3Xingtai people's Hospital, Xingtai, China, 4Philips Healthcare, Shanghai, China, Shanghai, China, 5The Second Affiliated hospital, Hebei Medical University, Shijiazhuang, China |
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Keywords: Brain Connectivity, Nervous system, migraine Blood flow to the brainstem region is increased as a hypothesis for migraine. Locus coeruleus (LC) is the main noradrenergic nucleus in the brainstem. However, the functional characteristics of LC in migraine without aura (MwoA) patients are not currently known. Our results demonstrated that patients with MwoA exhibited significant LC FC differences in the brain areas associated with visual and cognitive function. Understanding the changes in the LC brain network in MwoA patients can provide us with new ideas to understand the pathological mechanisms of MwoA. |
| 2848 | Computer 146
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Time-Varying Functional Connectivity of the Hippocampus Is Associated With Cognitive Performance in Multiple Sclerosis Patients |
| Paola Valsasina1, Olga Marchesi1, Carmen Vizzino1, Damiano Mistri1, Maria Assunta Rocca1,2,3, and Massimo Filippi1,2,3,4,5 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 5Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Keywords: Brain Connectivity, Multiple Sclerosis In this study, we explored hippocampal static and time-varying functional connectivity and its association with cognition in patients with multiple sclerosis. We found decreased static and time-varying connectivity of the hippocampus with temporo-parietal regions, and increased connectivity of the hippocampus with pre- and postcentral gyri, inferior temporal gyrus, precuneus and frontal regions. Better visuospatial and verbal memory were associated with higher hippocampal time-varying connectivity with precentral and inferior temporal gyri, while better attention scores were associated with higher hippocampal time-varying connectivity with the superior frontal cortex. |
| 2849 | Computer 147
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Disrupted topological organization of hubs in Parkinson’s disease patients with freezing of gait. |
| Karthik R Sreenivasan1, Ece Bayram2, Xiaowei Zhuang1, Jason Longhurst3, Zhengshi Yang1, Dietmar Cordes1, Aaron Ritter4, Jessica Caldwell1, Jeffrey L Cummings5, Zoltan Mari1, Irene Litvan2, Natividad Stover6, Talene Yacoubian6, Brent Bluett7, and Virendra Mishra1,8 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 3Department of Physical Therapy and Athletic Training, Saint Louis University, St. Louis, MO, United States, 4Memory & Cognitive Disorders Program Hoag, Pickup Family Neurosciences Institute, Newport Beach, CA, United States, 5Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV, United States, 6Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, United States, 7Central California Movement Disorders, Pismo Beach, CA, United States, 8Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL, United States |
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Keywords: Brain Connectivity, Parkinson's Disease Neuroimaging studies, including resting-state functional MRI (rs-fMRI), have implicated altered resting-state functional connectivity (rs-FC) in PD patients with freezing of gait (PD-FOG) and showed that the disruption of connectivity between the resting state networks (RSNs) was correlated with FOG. However, the network organization in PD-FOG remains poorly understood. In this study, we use rs-fMRI data and graph theoretical approaches to explore the reorganization of functional networks in PD-FOG. The results of our study suggest that there is a substantial reorganization of regional brain hubs and disruption in the higher-order functional network topology in PD-FOG participants compared to PD-nFOG. |
| 2850 | Computer 148
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Brain Micro-Structural and Functional Alterations for Cognitive Function Prediction in the End-Stage Renal Disease Patients |
| Jiahui Zheng1, Weiqiang Dou2, Xiangxiang Wu1, and Haifeng Shi1 | ||
1Department of Radiology, The Affiliated Changzhou NO.2 People’s Hospital of Nanjing Medical University, changzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Brain Connectivity, Brain, DKI FC The goal of this study was to investigate the relationships of altered brain micro-structure and function, and cognitive function for ESRD patients undergoing maintenance hemodialysis. Specifically, diffusion kurtosis imaging (DKI), the resting-state functional connectivity (FC) algorithm, and the least squares support vector regression machine (LSSVRM) were utilized to conduct our study. Brain micro-structural and functional changes were found in ESRD patients, which may account for the onset of cognitive impairment in affected patients. These quantitative parameters combined with our optimized prediction model may be helpful to establish reliable imaging markers to detect and monitor cognitive impairment associated with ESRD. |
| 2851 | Computer 149
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Dysregulated brain dynamics in visual-motor network of type 2 diabetes and its relation to cognitive impairment |
| Ying Yu1, Bo Hu1, Wen Wang1, Lin-Feng Yan1, and Guang-Bin Cui1 | ||
1Department of Radiology & Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University), Xi’an, China |
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Keywords: Brain Connectivity, Diabetes To screen type 2 diabetes mellitus(T2DM)-specific effective connective (EC) network, the dynamic features of which may contribute to distinguishing T2DM patients with mild cognitive impairment (T2DM-MCI) from controls. Screening of resting-state functional MRI (rs-fMRI) data from early T2DM, T2DM-related static causality network mainly consisted of nodes in visual and sensorimotor network. In the visual-motor network, the fractional windows and mean dwell time of strong dEC state in T2DM-MCI patients were significantly higher than controls. The sum of dECs (sumdEC) could effective distinguish the mT2DM-MCI indicating sumdEC to be a promising biomarker for the early cognitive impairment in T2DM. |
| 2852 | Computer 150
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Increased regional homogeneity and correlation with clinical indicators and scales in type 2 diabetes |
| Wei Du1, Yangyingqiu Liu1, Man Wang1, Wanyao Li1, Bingbing Gao1, Weiwei Wang1, Qingwei Song1, and Yanwei Miao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Keywords: Brain Connectivity, Diabetes, regional homogeneity To further investigate the changes in brain function of type 2 diabetes we prospectively enrolled 38 patients clinically diagnosed with T2DM and 24 age-matched healthy controls and underwent blood oxygen level-dependent fMRI scans. The image data was processed to obtain regional homogeneity values and compared by two sample t test. Results found that the local synchronization of spontaneous neural activity of the supramarginal gyrus in patients with T2DM was abnormal and correlated with cognitive function, which may be involved in the pathophysiological mechanism of T2DM. |
| 2853 | Computer 151
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Altered dynamic effective connectivity of the default mode network in T2DM |
| xu kun1, wang jun2, and zhang jing3 | ||
1medical, lanzhou unversity, lanzhou, China, 2lanzhou university, lanzhou, China, 3lanzhou university second hospital, lanzhou, China |
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Keywords: Brain Connectivity, Brain Connectivity Type 2 diabetes (T2DM) as one of the risk factors for developing Alzheimer's, however, the underlying pathogenesis of cognitive impairment in patients with T2DM was still unknown. our study combined the method of sliding-window approach and Granger causality analysis and found decreased dynamic effective connectivity (DEC) in T2DM compared with healthy people, and the decrease was associated with abnormal blood glucose level. |
| 2854 | Computer 152
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Altered functional hubs and connectivity in type 2 diabetes mellitus with and without mild cognitive impairment |
| Yang Huang1, Dongsheng Zhang1, Xin Zhang1, Kai Ai2, Xiaoyan Lei1, and Xiaoling Zhang1 | ||
1Shaanxi Provincial People’s Hospital, Xi’an, China, 2Philips Healthcare, Xi’an, China |
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Keywords: Brain Connectivity, fMRI (resting state) To investigate the functional abnormalities of brain networks and hub nodes damaged in T2DM patients with mild cognitive impairment (DMCI). We applied degree centrality (DC) and seed-based functional connectivity (FC) analysis to identify the abnormal hub nodes and the FC patterns of these hubs in DMCI patients. Our results indicated that DMCI patients showed extensive alterations in the visual and memory pathways, and these alterations were correlated with clinical/cognitive variables. These results suggested that vision and memory-related brain regions dysfunctions may be involved in the neuropathology of visuospatial and memory function impairment in DMCI patients. |
| 2855 | Computer 153
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Aberrant brain gray matter and functional networks topology in end stage renal disease patients with cognitive impairment |
| Jiahui Zheng1, Jiankun Dai2, Xiangxiang Wu1, and Haifeng Shi1 | ||
1Department of Radiology, The Affiliated Changzhou NO.2 People’s Hospital of Nanjing Medical University, changzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Brain Connectivity, fMRI (resting state) This study aimed to characterize the topological properties of gray matter (GM) and functional networks in end-stage renal disease (ESRD) patients undergoing maintenance hemodialysis to provide insights into the underlying mechanisms of cognitive impairment. Functional and GM networks were constructed based on resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion kurtosis imaging (DKI), respectively. Disrupted topological organizations were observed, as indicated by significantly altered global measures, nodal efficiency, and degree centrality, which may account for the progression of cognitive dysfunction. And implementation of prediction models based on neuroimaging metrics may provide more objective information to promote early diagnosis and intervention. |
| 2856 | Computer 154
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Altered Gray Matter Volume and Functional Connectivity in Type 2 Diabetes Mellitus |
| Xue Zhang1, Wanjun Hu1, and Jing Zhang1 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, LanZhou, China |
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Keywords: Brain Connectivity, Diabetes, Neuroimaging, type 2 diabetes mellitus, VBM, resting-state fMRI, Cognition Keyword: Neuroimaging, type 2 diabetes mellitus, VBM, resting-state fMRI, Cognition The main purpose of this study was to evaluate the structural brain alterations and related functional abnormity of type 2 diabetes(T2DM), and its correlation with cognitive scale. Changes in brain volume were assessed using voxel-based morphology (VBM), while VBM Results were used to build ROI to analyse related functional connectivity (FC) changes in brain function. The result indicated that decreased gray matter volume and decreased functional connectivity may represent the neurobiological mechanism underlying cognitive dysfunction in patients with T2DM. |
| 2857 | Computer 155
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Aberrant functional connectivity density in different cognitive states of T2DM patients |
| Dongsheng Zhang1, Shasha Liu1, Yang Huang1, Weirui Liu1, Wanting Liu1, Kai Ai2, Xiaoyan Lei1, and Xiaoling Zhang1 | ||
1Shaanxi Provincial People’s Hospital, Xi’an, China, 2Philips Healthcare, Xi’an, China |
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Keywords: Brain Connectivity, fMRI, T2DM To investigate the underlying neural mechanism of T2DM-related brain damage, the functional connectivity density (FCD) mapping method was used to examine the density distribution of whole-brain resting functional connectivity from 77 patients with T2DM under different cognitive states (with normal cognitive function, DMCN and mild cognitive impairment, DMCI) and 40 healthy controls (HCs). The decreased long-range FCD in the left superior temporal gyrus (STG) in DMCI patients and its correlation with Rey Auditory Verbal Learning Test (RAVLT) score in all T2DM patients, which suggested left STG may be involved in the neuropathology of auditory memory in T2DM patients. |
| 2858 | Computer 156
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Evaluation of altered brain activity in type 2 diabetes by multiple indices of brain function: a resting-state functional MRI study |
| Ge Zhang1, Xianchang Zhang2, and Meiyun Wang1 | ||
1Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China |
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Keywords: Brain Connectivity, fMRI (resting state) We combined multiple rs-fMRI indices to investigate the abnormal functional changes among T2DM patients. 52 T2DM patients and matched control participants were enrolled in this study. The functional abnormalities primarily involved motor and sensory function areas. More brain regions were revealed by the combination strategy than any single method and the indices of rs-fMRI showed significantly concordant alterations in most abnormal brain regions. Correlations of between clinical parameters and rs-fMRI indices were found. The current study demonstrated an enriched picture showing the brain functional alterations reflected by the combination of multiple indices in T2DM patients. |
| 2859 | Computer 157
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Microstructral and Functional Changes of brain in Pontine Infarction: A Combined Arterial Spin Labeling and Diffusion Tensor Imaging Study |
| Peipei Chang1, Peng Sun2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, BeiJing, China |
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Keywords: Stroke, Perfusion, Arterial Spin Labeling Pontine infarction (PI) is very common in posterior circulation infarction, which can lead to behavioral dysfunctions, such as motor and cognition impairment. However, secondary changes in microstructure after PI in the whole brain remain unclear. This study aimed to explore the changes in cerebral blood flow (CBF) and fractional anisotropy (FA) in PI patients and to better understand the whole brain microstructure changes. We found PI could lead to extensive white matter tracts impairment in most of the whole brain regions and perfusion changes in some brain regions. |
| 2860 | Computer 158
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Voxel-mirrored homotopic connectivity is impaired in cortical stroke but compensatory in subcortical stroke: a resting-state fMRI study |
| Changjiang Zhao1,2, Chengxin Yu1,2, Bo Rao 3, Junlong Pan1, Li Zhu1, Jiangjin Chen1, Long Chen1, Xiong Xiong 1, Can Zhang 1, Yong Ye1, Zheng Wang 1, Xiaoling Yang 1, Lisi Xie 1, Xiance Zhao4, Chen Zhao5, and Shan Huang4 | ||
1Yichang Central People's Hospital and The First College of Clinical Medical Science, China Three Gorges University, Yichang, China, 2Institute of Medcical Imaging, China Three Gorges University, Yichang, China, 3Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China, 4Philips Healthcare, Shanghai, China, 5Philips Healthcare, Guangzhou, China |
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Keywords: Stroke, fMRI (resting state) The alteration patterns of bi-hemispheric coordination between homologous areas in the whole brain of acute ischemic stroke patients with different infarct sites remains unclear. In the analysis of the voxel-mirrored homotopic connectivity (VMHC) among patients with frontoparietal lesion (G1), radiation coronal lesion (G2) and basal ganglia lesion (G3), VMHC was significantly decreased in G1 compared with G2 and G3. The impaired regions, such as precentral gyrus and postcentral gyrus, were part of the sensorimotor and default mode network. In contrast, VMHC mostly increased in patients with subcortical stroke, which indicates compensation rather than impairment of bi-hemispheric coordination. |
| 2861 | Computer 159
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Brain redundancy metric in cerebral small vessel disease:A community-based study. |
| Lei Cui1 and Minming Zang1 | ||
1Radiology, The second affiliated hospital of ZheJiang University, Hangzhou, China |
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Keywords: Brain Connectivity, fMRI (resting state), redundancy We applied a dynamic whole-brain network metric, redundancy, to a community-based middle-aged and elderly population, revealed the potential mechanisms of SVD on cognitive impairment ; we also explored the relationship between cognitive reserve and brain redundancy metric.We found that aging, hypertension and lacunes could impair redundancy in brain networks, whereas better brain redundancy corresponds to better executive function, which partly explains the potential mechanism of cognitive impairment by SVD. Secondly, we found no significant correlation between redundancy and cognitive reserve. |
| 2862 | Computer 160
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Association of brain connections in anterior and posterior circulation with the side of asymptomatic internal carotid stenosis and verbal memory |
| Jyun-Ru Chen1, Chun-Jen Lin2,3, I-Hui Lee2,3,4, and Chia-Feng Lu1 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 4Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan |
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Keywords: Vessels, Ischemia Previous studies have reported that patients with asymptomatic internal carotid stenosis (aICS) had recall verbal memory impairment. However, the underlying mechanism to elucidate the altered functional connectivity (FC) associated with the anterior and posterior circulation was not proposed. Furthermore, whether the laterality of aICS is a factor in FC alterations and verbal memory impairment requires further investigation. In this study, we reported that the left and right aICS groups showed different patterns of FC changes related to secondary language regions in anterior and posterior circulation. These FCs could be served as imaging biomarkers for recall verbal memory. |
| 2999 | Computer 121
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Intrinsic CSF outflow declines with age in healthy humans detected by spin-labeling MRI |
| Vadim Malis1, Won Bae1,2, Asako Yamamoto3, Linda McEvoy1, Marin McDonald1, and Mitsue Miyazaki1 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2VA San Diego Healthcare System, San Diego, CA, United States, 3Radiology, Teikyo University, Tokyo, Japan |
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Keywords: Neurofluids, Aging, cerebrospinal fluid (CSF), intrinsic CSF outflow, egress pathways Parasagittal dura (PSD) along the superior sagittal sinus (SSS) can be visualized using FLAIR and 3D SSFSE without gadolinium-contrast administration. Visualization of intrinsic CSF outflow from the PSD to the SSS can be achieved in human brains using spin-labeling MRI at clinical 3-T MRI. The spin-labeling MRI shows intrinsically tagged CSF outflow from the upper PSD and lower PSD to SSS. The quantitative intrinsic CSF outflow metrics indicate an age-related decline of the intrinsic CSF outflow at the SSS in human brains. |
| 3000 | Computer 122
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Paravascular Fluid Dynamics Reveal Arterial Stiffness Assessed using Dynamic Diffusion-Weighted Imaging (dDWI) |
| Qiuting Wen1, Adam Wright1,2, Yunjie Tong2, Yi Zhao1, Shannon L. Risacher1, Andrew J. Saykin1, Yu-Chien Wu1, Kalen Riley1, and Kaustubh Limaye1 | ||
1Indiana University, School of Medicine, Indianapolis, IN, United States, 2Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, United States |
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Keywords: Neurofluids, Aging We recently developped a novel technique, dynamic diffusion-weighted imaging (dDWI), for measuring paravascular cerebrospinal fluid (pCSF) dynamics. In this work, we evaluated the time shifts between the pulsation-driven pCSF waves (measured by dDWI) and finger pulse waves (measured by scanner’s built-in finger pulse oximeter) to calculate brain-finger pulse wave travel time. Our preliminary results of an aging cohort support that the dDWI-derived brain-finger TimeDelay can be a surrogate for arterial stiffness. This method can be used as an add-on analysis to the recently developed dDWI framework to offer information about the participant’s vascular conditions. |
| 3001 | Computer 123
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Changes in Brain Water Components in Normal Aging |
| Liangdong Zhou1, Yi Li1, Gloria C Chiang1, Elizabeth Sweeney2, Xiuyuan H Wang1, Susan Gauthier1, Yi Wang1, Amy Kuceyeski1, Mony de Leon1, and Thanh Nguyen1 | ||
1Weill Cornell Medicine, New York, NY, United States, 2University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Neurofluids, Aging Water homeostasis in brain involves the fluid dynamic through the intracellular fluid, extracellular fluid and CSF, and it’s important to help maintaining the brain function. The change of water compartments with aging may reflect the physiology and pathophysiology of the brain. We mapped the brain CSF water fraction, myelin water fraction and intro-extracellular water fraction using an MR FAST-T2 relaxometry approach. We found the brain CSF water quadratically increases with normal aging. Myelin water increases before the 50s and then decrease in adults. Intro-extracellular water decreases in the adult lifespan. This results are impactful for understanding the glymphatic clearance mechanism. |
| 3002 | Computer 124
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Sequential PET/MR reveals evidence of parasagittal dural hypertrophy in the setting of elevated Aβ burden in adults with Alzheimer’s disease |
| Alexander K Song1,2, Kilian Hett1, Jarrod J. Eisma1, Colin D. Mcknight3, Jason Elenberger1, Adam J. Stark1, Hakmook Kang4,5, Ciaran M. Considine1, Manus J. Donahue1, and Daniel O. Claassen1 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States, 5Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Neurofluids, Alzheimer's Disease A pathological hallmark of Alzheimer’s disease (AD) is the elevated aggregation of protein amyloid-β (Aβ) in the cerebrum. Recent studies have suggested a role for the parasagittal dural (PSD) space in cerebrospinal fluid (CSF) egress and associated protein clearance. A fully connected neural network was used to generate PSD segmentation masks from 3D T2-weighted turbo-spin-echo data to assess the relationship between PSD space volume and Aβ burden estimated by 11C-Pittsburgh Compound B in AD participants. PSD space hypertrophy was significantly associated with elevated Aβ levels and was localized to the frontal and parietal subsegments of the PSD. |
| 3003 | Computer 125
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Low b-value DTI of CSF: Resolving Intravoxel Incoherent Motion into Ordered and Disordered Motions |
| Yoshitaka Bito1,2, Hisaaki Ochi1,2, Ryuji Shirase1, Wataru Yokohama1, Kuniaki Harada2, and Kohsuke Kudo2 | ||
1FUJIFILM Healthcare Corporation, Tokyo, Japan, 2Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan |
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Keywords: Neurofluids, Diffusion/other diffusion imaging techniques Low b-value DTI (Low-b DTI) has been recently proposed for investigating the CSF motion. Here, an analysis technique using the Low-b DTI was proposed for resolving intravoxel incoherent motion into ordered (linear) and disordered (random) motions of the CSF. A normal-subject study demonstrated that the proposed technique can differentiate characteristics of the complex CSF motion in typical ROIs. The proposed technique can be useful in investigating the dynamics of neurofluids. |
| 3004 | Computer 126
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Associations between Extracellular Diffusivity Along Perivascular Space (eALPS) and Structural Abnormalities in Brain |
| Sang-Young Kim1, Eunju Kim1, Jinwoo Hwang1, Joo Hyun Kim1, and Chae Jung Park2 | ||
1Health Systems, Philips Healthcare, Seoul, Korea, Republic of, 2Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea, Republic of |
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Keywords: Neurofluids, Diffusion Tensor Imaging Non-invasive measure of glymphatic function or flow in vivo has gained a great attention from neuroscience research community. Diffusion tensor imaging (DTI) can provide a mean that measures the diffusivity along perivascular space (ALPS). However, conventional DTI captures diffusion indices from both tissue and free water compartments due to partial volume effects, which may raise a concern about validity of DTI-ALPS index for glymphatic function. In this work, we present a novel method that can extract extracellular diffusivity (i.e., eALPS) using free water eliminated DTI and investigate the relationship between eALPS and structural abnormalities in brain. |
| 3005 | Computer 127
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Impaired permeability in the choroid plexus in a tauopathy mouse model – a pilot study |
| Yuhan Bian1,2,3, Ning Wang4, Di Cao1,2,3, Yuanqi Sun1,2,3, Chunming Gu1,2,3, Yinghao Li1,2,3, Jiangyang Zhang5, Peter C.M. Van Zijl1,2, Xiaobo Mao4, and Jun Hua1,2 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins, Baltimore, MD, United States, 3Department of Biomedical Engineering, Johns Hopkins, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins, Baltimore, MD, United States, 5Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, United States |
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Keywords: Neurofluids, Alzheimer's Disease The choroid plexus (CP) is a gateway for the exchange of various metabolites between the microvasculature and brain. Impairment of CP has been reported in various diseases. Recently, dynamic-susceptibility-contrast-in-the-CSF (cDSC) MRI was developed to measure Gd-induced signal changes in the CSF. Here, cDSC MRI was performed with Intraperitoneal Gd-injection in a tauopathy mouse model to examine CP permeability. The maximal Gd-induced signal change was greater in the ventricles in tau mice than WT mice, indicating an increase of Gd leakage from the microvasculature into the ventricles through the CP. |
| 3006 | Computer 128
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Investigation of the ALDH2 genetic polymorphism effect in alcohol-related glymphatic dysfunction using DTI-ALPS |
| Yuichi Morita1,2, Koji Kamagata1, Kaito Takabayashi1, Christina Andica1,3, Junko Kikuta1, Shohei Fujita1,2, Hiroki Tabata4, Hitoshi Naito5, Yuki Someya4,6, Hideyoshi Kaga5, Toshiaki Akashi1, Akihiko Wada1, Yoshifumi Tamura4,5, Ryuzo Kawamori4,5, Hirotaka Watada4,5, Toshiaki Taoka7, Shinji Naganawa8, Osamu Abe2, and Shigeki Aoki1 | ||
1Department of Radiology, Graduate School of Medicine, Juntendo university, Tokyo, Japan, 2Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 3Faculty of Health Data Science, Juntendo University, Chiba, Japan, 4Sportology Center, Graduate School of Medicine, Juntendo university, Tokyo, Japan, 5Department of Metabolism & Endocrinology, Graduate School of Medicine, Juntendo university, Tokyo, Japan, 6Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan, 7Department of Innovative Biomedical Visualization, Graduate School of Medicine, Nagoya University, Aichi, Japan, 8Department of Radiology, Graduate School of Medicine, Nagoya University, Aichi, Japan |
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Keywords: Neurofluids, Diffusion Tensor Imaging, Glymphatic system, DTI-ALPS Excessive alcohol intake seriously damages the brain. Previous animal studies reported that the glymphatic system, which is a brain waste clearance system via the cerebral spinal fluid, is affected by chronic high alcohol consumption. Glymphatic dysfunction is related to cognitive impairment. The changes of diffusivity along the perivascular space (ALPS) indices associated with heavy, moderate, and no‑alcohol intake and executive function with or without aldehyde dehydrogenase 2 (ALDH2) rs671 polymorphism was evaluated. The present study revealed the glymphatic function and executive function decline in heavy drinkers. Furthermore, ALDH2 rs671 variants may increase vulnerability to alcohol-induced glymphatic dysfunction. |
| 3007 | Computer 129
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The Application Value of DWI in Differentiating Mega Cisterna Magna from Cisterna Magna Arachnoid Cyst |
| Wang Junying1, Pylypenko Dmytro 2, and Shi Hao1 | ||
1Department of Radiology,, The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2GE Healthcare,, Beijing, China |
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Keywords: Neurofluids, Diffusion/other diffusion imaging techniques, Arachnoid Cyst;Mega Cisterna Magna The differences between TAC, MCM and CMAC were measured respectively. For TAC and CMAC groups, both ADC and eADC value showed no statistical difference. There was a statistically significant difference in eADC between TAC and MCM, but no significant difference in ADC. |
| 3008 | Computer 130
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Exploring microstructural changes in patients with vascular cognitive impairment using multi-b-value diffusion and T2-relaxometry MRI |
| Gerhard Drenthen1, Paulien HM Voorter1, Maud van Dinther2, Julie Staals2, Robert J van Oostenbrugge2, Walter H Backes1, and Jacobus FA Jansen1 | ||
1Department of Radiology & Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, Netherlands, 2Department of Neurology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, Netherlands |
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Keywords: Neurofluids, Relaxometry, Interstitial fluid Local increases of interstitial fluid (ISF) predates axonal damage in white matter hyperintensities (WMH). However, it is challenging to disentangle these processes on T2w-MRI. By using multi-b-value diffusion and multi-echo T2-relaxometry imaging, we aimed to quantify markers of ISF volume and mobility in patients with vascular cognitive impairment (VCI) and healthy controls (HC). A trend for a higher mobility and volume of ISF was found in VCI patients compared to HC. Moreover, in VCI, elevated mobility of ISF was already present in perilesional tissue compared to normal-appearing white matter, suggesting that it might be an early marker of WMH development. |
| 3009 | Computer 131
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Evaluation of reproducibility of diffusion tensor image analysis along the perivascular space index using a reorientation technique |
| Hiroyuki Tatekawa1, Shu Matsushita1, and Yukio Miki1 | ||
1Department of Diagnostic and Interventional Radiology, Osaka Metropolitan University, Osaka, Japan |
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Keywords: Neurofluids, Diffusion Tensor Imaging, ALPS index; glymphatic system; Diffusion tensor image analysis along the perivascular space (DTI-ALPS) index is expected to reflect the glymphatic function of the brain, however, head rotation may reduce reliability. This study evaluated whether a reorientation technique, which registers image and vector information of DTI data, improves the reproducibility of the calculation of the ALPS index. A total of 234 cognitively normal subjects were selected from the OASIS-3 dataset. In the evaluation of the intra- and inter-reliability, the reorientation technique enabled to show good to excellent reproducibility (intraclass correlation coefficients > 0.85) in calculating ALPS index even when head rotation existed. |
| 3010 | Computer 132
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Combining CSF hydrodynamics and 4th ventricle outlet morphology improves predictive performance of decompression for CM-I patients |
| Yawen Xiao1, Shiqi Chen1, Zhaotao Zhang1, Jiankun Dai2, Yifei Gui1, and Xinlan Xiao1 | ||
1Department of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Neurofluids, Velocity & Flow Foramen magnum decompression (FMD) is the most used surgical treatment for Chiari malformation type I patients. However, 25～33% of them have persistent symptoms after surgery. This study aimed at investigating the possibility to predict the FMD outcome by using cerebral fluid (CSF) hydrodynamics and 4th ventricle outlet morphology obtained from magnetic resonance imaging. 27 patients were included and 17 of them had improved outcomes after FMD. Our results showed the peak diastolic velocity of CSF in aqueduct and the width of 4th ventricle outlet were associated with the FMD outcome and combining them can improve the prediction performance. |
| 3011 | Computer 133
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Diurnal Changes in Cerebrovascular Dynamics Measured from 4D-Flow |
| Leonardo A. Rivera-Rivera1, Grant S. Roberts1, Anthony Peret1, Sterling C. Johnson1, Oliver Wieben1, Laura Eisenmenger1, and Kevin M. Johnson1 | ||
1University of Wisconsin, Madison, Madison, WI, United States |
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Keywords: Neurofluids, Velocity & Flow, Aging In this study, we investigated diurnal changes in cerebral hemodynamics from 4D-Flow in a large population of cognitively healthy older adults and in a younger group of healthy volunteers. To separate physiological and technical variability of 4D-Flow measures, volunteers were scanned at 7am, 4pm, and 10pm on the same day three times for each timepoint. Data supports strong cerebral blood flow fluctuations of physiological origin that are much higher than the technical variability. |
| 3012 | Computer 134
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Assessment of CSF pulsatility in the fourth ventricle using EPI phase contrast and fMRI sequences. |
| Adrian RUIZ-CHIAPELLO1, Muriel MESCAM1, Nathalie VAYSSIERE1, Isabelle BERRY1, and Florence REMY-EL BOUSTANI1 | ||
1CerCo, UMR 5549, CNRS/Toulouse 3 University, Toulouse, France |
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Keywords: Neurofluids, Velocity & Flow, Cerebrospinal fluid Papers have shown a correlation between CSF flow in the fourth ventricle (V4) and EEG, and also that the low-frequency components (LFC) of EEG were positively correlated with glymphatic system (GS) activity. Analysis of the LFC of CSF flow could be a biomarker of GS degradation. We assessed 6 individuals by using an EPI phase contrast sequence to quantify the time evolution of CSF velocity in V4, and a fMRI sequence with which we exploited the inflow effect phenomenon. EPI-PC highlights the frequencies of physiological phenomena involved in CSF motion, and allows us to quantify LFC, indicative of GS efficiency. |
| 3013 | Computer 135
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Three-dimensional flow velocity of cerebrospinal fluid (CSF) in human brain during sleep via simultaneous EEG and dynamic sodium MRI |
| Ying-Chia Lin1, Xingye Chen1, Simon Henin2,3, Nahbila-Malikha Kumbella1, Liz Aguilera1, Zena Rockowitz3, Ashley Clayton3, James Babb1, Yulin Ge1, Arjun Masurkar2,3, Anli Liu2,3, Yvonne W. Lui1,4, Fernando E. Boada1,5, and Yongxian Qian1 | ||
1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States, 3Department of Neurology, NYU Langone Health, New York, NY, United States, 4Department of Radiology, NYU Langone Health, New York, NY, United States, 5Department of Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Neurofluids, Velocity & Flow, Sodium MRI, CSF flow, Sleep Cerebrospinal fluid (CSF) flow plays a key role in clearance of waste proteins from the brain. Current proton (1H) MRI is limited to measurement of CSF flow in specific regions such as the aqueduct, due to the lack of capability distinguishing CSF from water. Sodium (23Na) MRI is uniquely sensitive to CSF, instead of water, and has the potential to measure CSF flow in entire brain. Here, we use a recently-developed dynamic sodium MRI to measure CSF flow velocity in the brain and to understand how it changes with sleep state monitored by MRI-compatible EEG. |
| 3014 | Computer 136
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Extracellular Volume Change in the Human Brain During Sleep: Monitored by MRI-Compatible EEG and Measured by Sodium MRI |
| Xingye Chen1, Ying-Chia Lin1, Simon Henin2,3, Nahbila-Malikha Kumbella1, Liz Aguilera1, Zena Rockowitz3, Ashley Clayton3, Shichun Chen4, Weiying Dai4, James Babb1, Yulin Ge1, Arjun Masurkar2,3, Yvonne W. Lui1,5, Fernando E. Boada1,6, Anli Liu2,3, and Yongxian Qian1 | ||
1Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Neurology, NYU Grossman School of Medicine, New York, NY, United States, 3Neurology, NYU Langone Health, New York, NY, United States, 4Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 5Radiology, NYU Langone Health, New York, NY, United States, 6Radiology, Stanford University, Stanford, CA, United States |
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Keywords: Neurofluids, Velocity & Flow, MRI-compatible EEG, Sodium MRI, Sleep, Extracellular Space Sleep is reported in mince studies to increase extracellular space and improve CSF clearance of amyloid beta proteins from the animal brains. However, it is unclear whether sleep also benefits humans. This study used simultaneous MRI-compatible EEG to monitor sleep stage of human study subjects and used sodium MRI to quantify extracellular volume fraction. We seek to find the association between sleep stage and extracellular volume change in the human brain. |
| 3015 | Computer 137
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Measurement of changes in cerebrospinal fluid pulsation after traumatic brain injury using EPI-based functional MRI |
| Jun-Hee Kim1 and Sung-Hong Park1 | ||
1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of |
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Keywords: Neurofluids, Traumatic brain injury A recently-proposed method of simultaneous CSF pulsation and BOLD activity imaging was applied to the TBI-fMRI dataset. The CSF pulsation was significantly lower in the TBI group compared to that of healthy control group. The CSF pulsation decreased significantly in the first 6 months after TBI and then no significant changes in the later stage, which was consistent with previous studies, where CSF pulsation from TBI patients was lower than that of control subjects and starts to slowly recover thereafter. This study can be expanded to post-TBI fMRI datasets in general to examine functional activity and CSF pulsation simultaneously. |
| 3016 | Computer 138
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Hierarchical clustering analysis reveals size-dependent transport pathways of cerebrospinal fluid tracer in mouse brain |
| Yuran Zhu1, Guanhua Wang2, Yuning Gu1, Huiyun Gao3,4, Jing Zhang5, Yunmei Wang3,4, Xiaofeng Zhu5, Chris A. Flask1,6,7, and Xin Yu1,6,8 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH, United States, 4Department of Medicine, Case Western Reserve University, Cleveland, OH, United States, 5Department of Biostatistics, Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States, 6Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 7Department of Pediatrics, Case Western Reserve University, Cleveland, OH, United States, 8Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Neurofluids, Contrast Agent, Glymphatics This study investigated the impact of molecular size on transport kinetics and distribution of intracisternal tracers in mouse brain. Three MRI contrast agents with different molecular sizes were administered via cisterna magna. Their transport in the whole brain was observed by dynamic contrast-enhanced MRI for 2 hours. Our results show that the transport of 17O-water (H217O) was significantly faster and more extensive than the two gadolinium-based tracers (Gd-DTPA and GadoSpin). Time-lagged correlation analysis and clustering analysis also showed different cluster patterns between Gd-DTPA and H217O. These observations suggest the size-dependent differences in forces that drive tracer transport in the brain. |
| 3017 | Computer 139
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Changes in brain pulsatility associated with heart rate elevation using amplified MRI and phase-contrast MRI |
| Haribalan Kumar1,2,3, Haylea Rodgers3,4, Jet Wright3,4, Ben Bristow3,4, Paul Condron3,5, Taylor Emsden3,5, Davidson Taylor3,6, Samantha Holdsworth3,5, Soroush Safaei2, Gonzalo Maso Talou2, Josh McGeown3, Ed Maunder7, and Eryn Kwon2,3,5 | ||
1GE Healthcare, Gisborne, New Zealand, 2Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 3Mātai Medical Research Institute, Gisborne, New Zealand, 4University of Otago, Dunedin, New Zealand, 5Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand, 6Ngai Tāmanuhiri, Rongowhakaata, Ngāti Porou, Tūranganui-a-Kiwa, Tūranganui-a-Kiwa, Tairāwhiti, New Zealand, 7Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand |
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Keywords: Neurofluids, Neuroscience, Brain motion, image analysis Cardiac pulsatility is a key driver of brain pulsatility. However, changes in brain pulsatility in response to changes in heart rate have been sparsely studied. Using a combination of amplified MRI and phase-contrast MRI, brain parenchyma motion, blood flow, and CSF flow were measured and assessed during rhythmic hand-grip exercise to help understand the role of heart rate on brain physiology. This approach opens opportunities for probing the role of heart rate, brain fluid, and motion flow in various pathologies that affect the brain. |
| 3018 | Computer 140
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Effect of nighttime wakefulness on the brain's structure and function: a study involving virtual ISMRM2021 attendees |
| Maho Kitagawa1, Daisuke Sawamura2, Yuta Urushibata3, Hiroyuki Hamaguchi1, Philip Kyeremeh Jnr Oppong1, Daiki Sakamoto1, and Khin Khin Tha1,4 | ||
1Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 2Department of Functioning and Disability, Hokkaido University Faculty of Health Sciences, Sapporo, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Japan |
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Keywords: Neurofluids, Brain, sleep, jet lag, glymphatic system, metabolite, cognition, functional connectivity Little had been reported about the effect of nighttime awakening (virtual jet lag) on the brain structure and function. In this prospective study which evaluated if short-time nighttime awakening due to virtual conference attendance affected the brain function, increased sleepiness, impaired information-processing ability, decreased mALPS index to suggest impaired glymphatic system functioning, a trend toward altered functional connectivity, were observed after nighttime awakening. The finding on mALPS index was similar to true jet lag. |
| 3019 | Computer 141
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A novel atlas of the superficial white matter connectivity based on the whole HCP cohort - an inter-individual variability study. |
| Bastien Herlin1,2,3, Ivy Uszynski1, Maëlig Chauvel1, Sophie Dupont2,3, and Cyril Poupon1 | ||
1BAOBAB, NeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France, 2AP-HP, Epilepsy Unit, GH Pitié-Salpêtrière-Charles Foix, Paris, France, 3Sorbonne Université, Paris, France |
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Keywords: White Matter, Brain Connectivity Superficial white matter (SWM) tracts exhibit a high cross-subject variability, which makes them difficult to study. We used the whole HCP cohort, which included 1065 subjects, to build a comprehensive atlas of the short-range cortico-cortical connections using an advanced diffusion analysis and tractography pipeline, followed by an individual and a group-level fiber clustering. Furthermore, we measured the percentage of occurrence of each cluster within the population. In addition to enabling the automatic labeling of any new subject’s SWM tracts, our atlas paves the way for a thorough cross-subject variability study of superficial connectivity. |
| 3020 | Computer 142
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Patients with sickle cell disease have altered brain fractional anisotropy, axial, mean and radial diffusivity quantified by 7T MRI. |
| Elizabeth Meinert-Spyker1, Tales Santini2, Sharadhi Umesh Bharadwaj1, Enrico Novelli3,4,5, Tamer Ibrahim2,6,7, and Sossena Wood1,8 | ||
1Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States, 2Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 3Hematology/Oncology, University of Pittsburgh, Pittsburgh, PA, United States, 4Pittsburgh Heart, Lung and Blood Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, United States, 5Sickle Cell Center of Excellence, University of Pittsburgh, Pittsburgh, PA, United States, 6Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 7Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 8Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States |
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Keywords: White Matter, Diffusion Tensor Imaging, Sickle cell disease This abstract compares diffusion tensor imaging parameters between healthy controls and sickle cell disease (SCD) patients. Various softwares were utilized to obtain diffusion metrics and conduct voxelwise comparison was conducted. Fractional anisotropy (FA) and axial diffusivity (AD) values were significantly decreased in patients with SCD compared to controls, while mean diffusivity (MD) and radial diffusivity (RD) were primarily increased in patients compared to controls. Our FA and MD findings are consistent with other studies comparing diffusion metrics of individuals with SCD at a lower magnet field. We also present novel findings comparing AD and RD values for the SCD population. |
| 3021 | Computer 143
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Diffusion MRI tractometry findings in Dystonia: a UK Biobank Study |
| Claire L. MacIver1,2, Chantal M.W. Tax2,3, Derek K Jones2, Ann-Kathrin Schalkamp4, Cynthia Sandor4, Grace Bailey5, Megan Wadon5, and Kathryn J Peall5 | ||
1Neuroscience and Mental Health Research Institute,, Cardiff University, Cardiff, United Kingdom, 2Cardiff University Brain Imaging Centre, Cardiff University, Cardiff, United Kingdom, 33Image Sciences Institute, University Medical Centre Utrect, Utrect, Netherlands, 4UK Dementia Research Institute, Cardiff University, Cardiff, United Kingdom, 5Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques, movement disorders Dystonia is a hyperkinetic disorder involving uncontrolled muscle contractions. Brain motor networks have been implicated, with heterogenous methodology and findings in the existing diffusion MRI literature. We compared diffusion findings in white matter motor pathways in dystonia (n=76) and healthy controls (n=311) derived from the UK biobank, assessing differing preprocessing and analysis approaches. An in-house pipeline identified localised tractometry MD and kurtosis differences in cerebellar peduncles, thalamic radiations and thalamo-premotor tracts in dystonia, findings not replicated using differing analysis and preprocessing approaches. Overall, localised white matter differences are implicated in dystonia, with the impact of methodology on group-level findings highlighted. |
| 3022 | Computer 144
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Evidence of diffusion tensor imaging measures of white matter microstructure changes within six months after stroke |
| Stefan E. Poirier1,2, Jonathan D. Thiessen1,2, Alexander V. Khaw1,3, and Udunna C. Anazodo1,2,3,4 | ||
1Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3Department of Clinical Neurological Sciences, Western University, London, ON, Canada, 4Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada |
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Keywords: White Matter, Diffusion Tensor Imaging White matter (WM) damage is associated with post-stroke cognitive impairment. In this study, we used diffusion tensor imaging (DTI) to investigate changes in WM microstructure in patients within 6-months following stroke. Quantitative DTI measurements were compared in patients at 6-months relative to 4-weeks post-stroke. DTI showed signs of reduced WM integrity in several WM tracts, including rostrum of corpus callosum and superior longitudinal fasciculus III in patients 6-months post-stroke. In elderly adults, WM microstructure can be disrupted following ischemic stroke. These findings motivate larger population stroke studies using advanced diffusion MRI techniques to further assess WM structure in stroke patients. |
| 3023 | Computer 145
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Vendor-neutrality and upgrade immunity: Post-upgrade assessment of vendor-neutral qMRI from two perspectives |
| Agah Karakuzu1,2, Paule Samson 2, and Nikola Stikov1,2,3 | ||
1NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, University of Montreal, Montreal, QC, Canada, 3Center for Advanced Interdisciplinary Research, Ss. Cyril and Methodius University, Skopje, Macedonia |
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Keywords: White Matter, Quantitative Imaging, vendor-neutral, post-upgrade, T1, MTR, MTsat We scanned the ISMRM/NIST system phantom and one healthy participant to compare vendor-neutral and vendor-native T1, MTR and MTsat maps pre- and post-upgrade. Our findings indicate a systematic T1 bias in the phantom (up to 18.5%) that is linked to post-upgrade prescan calibrations. In-vivo, MTR remains stable, whereas the T1 bias (up to 9%) affects MTsat more. On the other hand, end-to-end consistency of the vendor-neutral workflow is immune against the software upgrade (e.g., data was consistently exported in the BIDS format). To disentangle the effect of upgrades on longitudinal stability, qMRI would benefit from transparent vendor-neutral prescan calibrations. |
| 3024 | Computer 146
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White matter tract integrity metrics sensitive to white matter microstructural changes and cognitive performance in type 2 diabetic patients |
| Jie Gao1, Dongsheng Zhang1, Xuejiao Yan1, Min Tang1, Xin Zhang1, Kai Ai2, Xiaoyan Lei1, and Xiaoling Zhang1 | ||
1Shaanxi Provincial People’s Hospital, Xi’an, China, 2Philips Healthcare, Xi’an, China |
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Keywords: White Matter, Diabetes This study aims to use white matter tract integrity (WMTI) model based on DKI to explore white matter alternations in T2DM. DTI and WMTI metrics were compared between 73 T2DM patients and 57 HCs. The widespread increased extra-axonal diffusivity with limited increased intra-axonal diffusivity in T2DM reflected different degrees of axonal edema, vasogenic edema and/or demyelination. De,⊥ (radial extra-axonal diffusivity) was demonstrated to be the most sensitive parameter in detecting the white matter microstructural changes. De,⊥ in genu of the corpus callosum was correlated with attention performance, which is expected to be a imaging marker reflecting cognitive impairment in T2DM. |
| 3025 | Computer 147
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A step forward to improve large numerical phantoms at the microstructure level using CACTUS |
| Juan Luis Villarreal Haro1, Remy Marc Gardier1, Erick Jorge Canales-Rodríguez1, Gabriel Girard1,2, Jean-Philippe Thiran1,3,4, and Jonathan Rafael Patino1,4 | ||
1Signal Processing Laboratory (LTS5), École polytechnique fédérale de Lausanne, Lausanne, Switzerland, 2Department of Computer Science, Université de Sherbrooke, Monreal, QC, Canada, 3Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 4CIBM Center for Biomedical Imaging, Lausanne, Switzerland |
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Keywords: White Matter, Phantoms, Monte Carlo simulations for microstructure in DW-MRI Inferring microscopic tissue properties from the measured signal is one of the main objectives of diffusion-weighted magnetic resonance imaging. The use of Monte-Carlo Simulations for DW-MRI on realistic substrates will help the study of DWI-MRI signals in controlled environments and investigate, extract, and validate approaches for the understanding of white matter features. This work provides a unique framework for building complex white matter phantoms with novel properties, such as 1) substrates with a high packing density of 95% intra-axonal volume percentage and substrate sizes of (500 um)3, 2) Create, generalise, extend, and preexisting phantom configurations used by other studies. |
| 3026 | Computer 148
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Alterations of white matter connectivity in essential tremor with MR-guided focused ultrasound thalamotomy |
| Xiaoyu Wang1,2 and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2Nankai University, Tianjing, China |
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Keywords: White Matter, Treatment, MRgFUS This is important research to assess the effects of MRgFUS thalamotomy on white matter connectivity in ET. Results showed that MRgFUS might act the topologic properties on brain networks. Rich-club and small-world organizations exist in HC and ET. The right orbital part of the superior frontal gyrus and right putamen were identified as a hub in the ET group only, whereas the left putamen identified as hubs in the group only. Importantly, gamma and sigma correlated tremor improvement after MRgFUS thalamotomy, playing a role in reflecting tremor improvement for clinical treatment. |
| 3027 | Computer 149
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Sex-specific differences of the number of fiber orientations (NuFO) in the human brain |
| Szabolcs David1, Alexander Leemans1, and Alberto de Luca1 | ||
1UMC Utrecht, Utrecht, Netherlands |
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Keywords: White Matter, Brain, crossing fibers, biomarker, NuFO, FA Diffusion MRI-based biomarkers are commonly used to assess brain microstructural properties. Mathematical models have been developed to calculate various metrics; each are sensitive to different tissue features. Here, we investigate whether there are differences in the number of fiber orientations (NuFO) between male and female brains and how these results compare to corresponding DTI-derived fractional anisotropy (FA) findings. Results show NuFO-based differences with high effect size (>1 Cohen’s D) in hippocampi, which are undetected in FA-tests. Therefore, NuFO could provide complementary aspects to DTI metrics to capture differences in microstructural organization. |
| 3028 | Computer 150
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Abnormal functional connectivity between white and gray matter is associated with hearing loss and cognitive dysfunction in presbycusis |
| Yao Wang1, Yuting Gao1, Yu Han1, Xiao Li2, Fengyi Wang1, Fuxin Ren2, Weibo Chen3, Muwei Li4, and Fei Gao2 | ||
1School of Life Sciences, Tiangong University, Tianjin, China, 2Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 3Philips Healthcare, Shanghai, China, 4Vanderbilt University Institute of Imaging Science, Nashville, TN, United States |
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Keywords: White Matter, Aging Presbycusis is characterized by high-frequency hearing loss and is closely related to cognitive decline. In this study, we aimed to explore the connectivity changes of WM and GM in the brains of presbycusis patients and their relationship with cognitive impairment and hearing loss. The results of this study indicated that the functional connectivity of WM and GM was abnormal in presbycusis patients, mainly in the PLIC, BCC, STG, par opercularis, etc. These changes might be associated with auditory processing and cognitive compensation. This study may provide new insights into the underlying neural mechanisms between presbycusis and cognitive impairment. |
| 3029 | Computer 151
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A test-retest analysis for ventral intermediate nucleus localization with CSD tractography for deep brain stimulation. |
| Benjamin Verhaaren1, Ahmed Radwan2,3, Ronald Peeters1, Alexandra Boogers4, Jana Peeters3, Wim Vandenberghe3,4, Philippe De Vloo3,5, Bart Nuttin3,5, and Stefan Sunaert1,2,3 | ||
1Radiology, University Hospitals Leuven, Leuven, Belgium, 2Imaging and Pathology, KU Leuven, Leuven, Belgium, 3Neurosciences, KU Leuven, Leuven, Belgium, 4Neurology, University Hospitals Leuven, Leuven, Belgium, 5Neurosurgery, University Hospitals Leuven, Leuven, Belgium |
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Keywords: White Matter, Diffusion Tensor Imaging, Deep brain stimulation We found that the location of the ventral intermediate nucleus (Vim) as determined with dMRI tractography differed only 0.92 mm on average on subsequent scans within the same individual (SD: 0.51 mm) in a test-retest study of 29 healthy individuals. The difference with a commonly used manual method that locates the Vim at fixed distances in relation to the commissures and third ventricular wall was more pronounced: on average 2.44 mm (SD: 0.92 mm). We believe that dMRI tractography based DBS target determination seems feasible and rather accurate, given that acquisition parameters and post-processing are optimal. |
| 3030 | Computer 152
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Differences in cerebellar fiber tract dispersion in coronary artery disease patients are associated with episodic memory and processing speed |
| Stefanie A Tremblay1,2,3, Dalia Sabra1,2,3,4, Safa Sanami1,2, Ali Rezaei1,2, Zacharie Potvin-Jutras1,2, Christine Gagnon2, Brittany Intzandt5, Amélie Mainville-Berthiaume6, Lindsay N Wright1,2, Dajana Vuckovic7, Josep Iglesies-Grau2,8, Thomas Vincent2, Mathieu Gayda2, Anil Nigam2, Louis Bherer2,8,9, and Claudine J Gauthier1,2,3 | ||
1Physics, Concordia University, Montreal, QC, Canada, 2Centre ÉPIC and Research Center, Montreal Heart Institute, Montreal, QC, Canada, 3PERFORM Centre, Concordia University, Montreal, QC, Canada, 4Department of Biomedical Science, Université de Montreal, Montreal, QC, Canada, 5BrainLab, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 6Psychology, Concordia University, Montreal, QC, Canada, 7Department of Chemistry and Biochemistry, Concordia University, Montreal, QC, Canada, 8Department of Medicine, Université de Montreal, Montreal, QC, Canada, 9Research Center, Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques, DTI, NODDI Here we characterized the impact of coronary artery disease (CAD) on the brain’s white matter (WM) using diffusion tensor (DTI) and neurite orientation dispersion and density imaging (NODDI). Mean diffusivity was higher in CAD patients in occipital WM and there were differences in orientation dispersion in several tracts between CAD patients and healthy controls. Alterations in fiber dispersion of cerebellar WM were associated with global cognition, episodic memory, and processing speed. Our study supports the use of advanced diffusion imaging models for the early detection of subtle WM damage in populations at risk of developing dementia such as CAD patients. |
| 3031 | Computer 153
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Free-water corrected Diffusion Kurtosis Imaging exhibits modified age-related trajectories of the measures in the brain white matter |
| Tomasz Pieciak1, Guillem París1, Dani Beck2,3,4, Ivan I. Maximov3,5, Antonio Tristán-Vega1, Rodrigo de Luis-García1, Lars T. Westlye2,3,6, and Santiago Aja-Fernández1 | ||
1ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain, 2Department of Psychology, University of Oslo, Oslo, Norway, 3NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway, 4Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway, 5Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway, 6KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway |
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Keywords: White Matter, Diffusion/other diffusion imaging techniques Diffusion kurtosis imaging (DKI) allows quantifying Gaussian and non-Gaussian effects in diffusion MRI signal and has already proved its relevance, including assessing age-related brain alterations. Hitherto, the standard DKI follows a single-component signal representation with no explicitly defined free-water factor that might lead to a reduced specificity of tensor-based measures. This work demonstrates the free-water corrections to the DKI and revisits the variations in the metrics across the adult lifespan. Our study shows a significant reduction in variability and dynamics of the kurtosis fractional anisotropy and the preservation of the status quo in the mean kurtosis tensor with age. |
| 3032 | Computer 154
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Desynchronized white matter function and structure in drug-naive first-episode major depressive disorder patients |
| Qinger Guo1, Jingfeng Duan2, Shuyang Cai1, Jiaxi Zhang3, Tao Chen1, and Hong Yang1 | ||
1Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China, 2Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China, 3Zhejiang Normal University, Jinhua, China |
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Keywords: White Matter, Psychiatric Disorders Objective. To describe the abnormalities in WM function and structure in drug-naive first-episode MDD patients. Methods. 33 patients and 34 HCs were included. Different frequency bands of ALFF and FA were used to analyze the differences between the two groups. Results. Compared to HCs, patients showed decreased ALFF in PTR and SLF in slow-5 band, which were negatively correlated with the HAMD-17 anxiety/somatization factor items. No difference in FA between two groups. Conclusions. WM dysfunction relate to the pathophysiological mechanisms of MDD and predates structural damage. Compared to the typical and slow-4 bands, the slow-5 band is more sensitive for early detecting WM dysfunction. |
| 3033 | Computer 155
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Aging-related Changes in Spontaneous Brain Activity in White Matter |
| Muwei Li1, Yurui Gao1, Dylan R Lawless1, Lyuan Xu1, Yu Zhao1, Kurt G schilling1, Zhaohua Ding1, Adam W Anderson1, Bennett A Landman1, and John C Gore1 | ||
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States |
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Keywords: White Matter, Aging Recent studies have consistently reported that BOLD effects in WM reflect neural activities, and thus represent a new window into brain function. Here we evaluate the potential value of BOLD measurements in WM as an indicator of functional changes during normal aging. We observed a widespread reduction of metrics of WM BOLD effects, suggesting changes occur in information exchange in WM with aging. Our findings converge to support the notion that WM BOLD signals in specific regions and their interactions with others have the potential to serve as imaging markers of aging. |
| 3034 | Computer 156
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White matter abnormalities in pediatric idiopathic growth hormone deficiency: A DTI study using TBSS analysis |
| Liuhui Wu1, Huaqiong Qiu1, Shu Su1, Yingxi Chen1, Long Qian2, and Zhiyun Yang1 | ||
1Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 2GE Healthcare, Beijing, China |
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Keywords: White Matter, Diffusion Tensor Imaging, Idiopathic growth hormone deficiency, TBSS Idiopathic growth hormone deficiency (IGHD) is an important and unknown causes of pediatric short stature. Although grey matter morphological changes in the cerebral cortex of IGHD have been proved, the knowledge about white matter (WM) is poorly investigated. Whether the mental status of IGHD children is associated with WM abnormalities is unclear. In this study, 50 pediatric with IGHD and 48 age- and gender-matched typically developing (TD) children included for TBSS analysis. Our results indicated that IGHD children showed the WM abnormalities (especially in bilateral posterior corona radiata), which are correlated with behavioral and mental problems. |
| 3035 | Computer 157
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Increased Local Specialization of Structural Networks Revealed by Probabilistic Diffusion Tractography in Cerebral Small Vessel Disease |
| Mengmeng Feng1, Wen Hongwei2,3, Xin Haotian1, Shengpei Wang4,5, Chaofan Sui6, Yian Gao6, Changhu Liang1,6, and Lingfei Guo1,6 | ||
1Shandong Provincial Hospital, Shandong University, Jinan, China, 2Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China, 3School of Psychology, Southwest University, Chongqing, China, 4Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 5University of Chinese Academy of Sciences, Beijing, China, 6Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China |
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Keywords: White Matter, Diffusion Tensor Imaging We used probabilistic diffusion tractography and graph theory based on DTI to investigate the topologic organization of white matter (WM) structural networks in 54 patients with severe CSVD burden (CSVD-s), 117 patients with mild CSVD burden (CSVD-m) and 73 healthy controls. Compared with CSVD-m patients and controls, CSVD-s patients exhibited significantly increased local efficiency, normalized clustering coefficient and small world index, with partially reorganized hub distributions. In addition, the CSVD-s patients showed significantly increased nodal efficiency in some brain regions. Intriguingly, the significant correlation between node efficiency and cognitive parameters existed in CSVD-m and control groups. |
| 3036 | Computer 158
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Neural correlates of anxiety in rhesus macaques exposed to early social adversity: A longitudinal DTI study across adolescence. |
| Hind Errame1,2, Holly Rayson1,2, Alice Massera1,2, Yann Bihan-Poudec1,2, Franck Lamberton3, Mathilda Froesel1,2, Maeva Gacoin1,2, Suliann Ben Hamed1,2, Nathalie Richard1,2, Pier-Francesco Ferrari1,2, and Bassem Hiba1,2 | ||
1Institut des sciences cognitives Marc Jeannerod (ISC) , CNRS, LYON, France, 2Claude Bernard University, Lyon 1, LYON, France, 3CERMEP - Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant, LYON, France |
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Keywords: White Matter, Diffusion Tensor Imaging Using diffusion tensor imaging (DTI) and behavioral observation, this study investigated the longitudinal effects of early social adversity (ESA) on risk for anxiety and the neural mechanisms underlying this relationship across adolescence. Diffusion MRI data were collected from 21 macaques comprising two groups that differed in exposure to ESA; mother-reared and nursery-reared. Each monkey was scanned at 2.5, 3.5 and 4.5 years old, with anxiety-like behavior assessed at each time-point. Results suggest that ESA has long-term effects on WM fractional anisotropy (FA) in several regions, with differences in frontolimbic and frontostriatal WM tracts modulating the relationship between ESA and anxiety . |
| 3037 | Computer 159
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White matter integrity and structural connectivity disruption in cognitive impairment T2DM patients with cerebral small vessel disease |
| Huang ming ming1, Yu Hui1, Li Xiao Bao1, Liu Jian Tao2, Zhang Aaron3, and Gao Bo4 | ||
1Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China, 2Philips Healthcare China, Xi an, China, 3Philips Healthcare China, Guangzhou, China, 4Affiliated Hospital of Guizhou Medical University, Guiyang, China |
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Keywords: White Matter, Diffusion Tensor Imaging, type 2 diabetes mellitus DTI provides an effective way to investigate the white matter integrity and white matter connectivity. In this study, almost the white matter integrity was injured in cognitive impairment T2DM patients with CSVD , which were accompanied with reduction of FA value and increasing of λ∥、λ⊥ and ADC values . These results suggested that axonal injuries and demyelinating diseases maybe exist and induce the network connectivity disruption in these patients. More over, In patients with T2DM, network parameters were associated with memory and attention, significantly correlation were found between network parameters and cognitive assessment scores. These findings may provide new insights into how white matter abnormalities and white matter network disruption can affect cognitive function in patients with diabetes. |
| 3038 | Computer 161
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Comparison of High-Frequency Conductivity in the Brains of Alzheimer’s Disease Patients and Cognitively Normal Elderly Controls |
| Geon-Ho Jahng1, Soonchan Park1, Sue Min Jung2, Mun Bae Lee3, Hak Young Rhee4, Chang-Woo Ryu1, A- Rang Cho5, and Oh In Kwon3 | ||
1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Biomedical Engineering, Kyung Hee University, Yongin-si, Korea, Republic of, 3Mathematics, Konkuk University, Seoul, Korea, Republic of, 4Neurology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 5Psychiatry, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of |
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Keywords: Alzheimer's Disease, Electromagnetic Tissue Properties The objective of this study was to investigate high-frequency conductivity (HFC) obtained using magnetic resonance electrical property tomography (MREPT) in participants with Alzheimer’s disease (AD), amnestic mild cognitive impairment (MCI), and cognitively normal (CN) elderly controls. High-frequency conductivity (HFC) values in the brain are significantly increased in Alzheimer’s disease (AD) patients compared to cognitively normal (CN) elderly people, are negatively associated with Mini-Mental State Examination (MMSE) scores, and therefore can be used as an imaging biomarker to improve the differentiation of AD from CN. |
| 3039 | Computer 162
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Comparison of diffusion kurtosis tensor imaging and multi-tissue CSD for the investigation of group differences in Alzheimer’s disease |
| Diana L. Giraldo1,2,3, Robert E. Smith4, Hanne Struyfs5, Ellis Niemantsverdriet5, Ellen De Roeck5, Sebastiaan Engelborghs5, Eduardo Romero2, Jan Sijbers1,3, and Ben Jeurissen1,3,6 | ||
1imec-Vision Lab, University of Antwerp, Antwerp, Belgium, 2Computer Imaging and Medical Applications Laboratory - Cim@Lab, Universidad Nacional de Colombia, Bogota, Colombia, 3µNEURO Research Center of Excellence, University of Antwerp, Antwerp, Belgium, 4The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 5Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium, 6Lab for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium |
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Keywords: Alzheimer's Disease, Data Analysis In this work, we compare the results of analyzing group differences in Alzheimer’s Disease (AD) with two different models for multi-shell diffusion MRI: the Diffusion Kurtosis Tensor (DKT) and Multi-Tissue Constrained Spherical Deconvolution (MT-CSD). Separate analysis for DKT metrics and measures derived from MT-CSD were performed to investigate differences between control subjects and patients with mild cognitive impairment and dementia due to AD. Statistical analyses included strong family-wise error correction for multiple comparisons. Results indicate that analyses with MT-CSD capture the differences that are detectable with DKT while offering more specific details that facilitate the interpretation of those differences. |
| 3040 | Computer 163
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Spatial navigation reveals subcortical structural covariance and progression risk in subjective cognitive decline |
| Qian Chen1,2 and Bing Zhang1,2 | ||
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China |
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Keywords: Alzheimer's Disease, Gray Matter, structural covariance network We aimed to investigate whether spatial navigation could reveal subcortical structural alterations and the risk of clinical progression in subjective cognitive decline (SCD). SCD subjects were divided into SCD-good (G-SCD) and SCD-bad (B-SCD) groups according to their navigation performance. The B-SCD group showed decreased volumes in the basal forebrain and had a larger shortest path length in the subcortical structural covariance network than the G-SCD group. Follow-up data suggested that the B-SCD group had a higher conversion rate to MCI than the G-SCD group. This study may provide new insights for the risk assessment and early intervention for SCD subjects. |
| 3041 | Computer 164
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MR-based Parenchymal CSF water fraction (CSFF) is a marker of glymphatic clearance function and relates to beta-amyloid deposition on 11C-PiB PET |
| Liangdong Zhou1, Thanh Nguyen1, Xiuyuan H Wang1, Gloria C Chiang1, Mony de Leon1, and Yi Li1 | ||
1Weill Cornell Medicine, New York, NY, United States |
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Keywords: Alzheimer's Disease, Neurofluids Glymphatic clearance has recently gained increasing attention as a major driver of neurodegenerative diseases like Alzheimer’s disease. Perivascular spaces is believed to reflect glymphatic clearance such that enlargement of the PVS is believed to reflect blocked glymphatic clearance. We present preliminary work on a MR-based FAST-T2 CSF water fraction map to study glymphatic clearance. Our results show a quadratic relationship between CSFF and PiB PET SUVR in AD-specific regions. This indicates that CSFF could be a biomarker of dysfunctional glymphatic clearance, leading to early beta amyloid accumulation, since early on, CSFF increases without a significant change in PiB PET SUVR. |
| 3042 | Computer 165
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Functional connectivity to entorhinal cortex in hypertensive Alzheimer’s disease rat models |
| Yi Chen1,2, Zachary Fernandez3,4, Norman Scheel3, Mahsa Gifani5, Chunqi Qian3, Anne M. Dorrance6, Scott E. Counts4,5,7,8, and David C. Zhu3 | ||
1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department of Radiology, Michigan State University, East Lansing, MI, United States, 3Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI, United States, 4Neuroscience Program, Michigan State University, East Lansing, MI, United States, 5Department of Translational Neuroscience, Michigan State University, Grand Rapids, MI, United States, 6Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, United States, 7Department of Family Medicine, Michigan State University, Grand Rapids, MI, United States, 8Hauenstein Neurosciences Center, Mercy Health Saint Mary’s Hospital, Grand Rapids, MI, United States |
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Keywords: Alzheimer's Disease, Animals Extensive studies have revealed that the entorhinal cortex (EC) plays a critical role in Alzheimer’s disease (AD) development. However, EC functional connectivity and its associated network abnormalities are understudied, especially in rodent models. To the best of our knowledge, this is the first study to report disrupted EC functional connectivity in hypertensive AD rodents using resting-state fMRI. Our results may provide new insights into the impaired EC connectivity patterns and enable the search for novel preclinical EC-based fMRI biomarkers for AD studies. In addition, our novel animal model provides new information to understand the link between hypertension and AD. |
| 3043 | Computer 166
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1H-MRSI of cortical and subcortical gray matter in cognitively unimpaired elderly: Associations with APOE4, CSF p-tau181 and MR morphometry |
| Anna Marie Chen1, Martin Gajdošík1, Rosemary Peralta1, Dishari Azad2, Helena Zheng1, Mia Gajdošík1, Ajax George1, Sinyeob Ahn3, Mickael Tordjman1,4, Julia Zabludovsky1, Yuxin Zhang5, LianLian Chen5, Henry Rusinek1,2, Guillaume Madelin1, Ricardo Osorio2, and Ivan Kirov1,6,7 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, United States, 3Siemens Medical Solutions USA Inc., Malvern, PA, United States, 4Department of Radiology, Cochin Hospital, Paris, France, 5Department of Biostatistics, New York University School of Global Public Health, New York, NY, United States, 6Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States, 7Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States |
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Keywords: Alzheimer's Disease, Gray Matter 1H-MRSI can examine spatiotemporal characteristics of metabolic dysfunction in multiple brain regions in early Alzheimer’s disease (AD) pathology. Since both cortical and subcortical gray matter structures have shown vulnerability to AD neurodegeneration, we tested whether regional gray matter metabolic abnormalities were associated with (i) APOE4 genotype, a risk factor for amyloid burden, (ii) CSF p-tau181, an indicator of tau burden, and (iii) morphometry metrics (volume, cortical thickness) indicative of neurodegeneration, in cognitively unimpaired elderly. We found lower caudate Cho and lower posterior cingulate Glx in APOE4 carriers compared to non-carriers. There were no metabolite relationships with CSF p-tau181 or morphometry. |
| 3044 | Computer 167
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Quantitative choroid plexus and bulk cerebrospinal fluid metrics in older adults with and without Alzheimer’s disease |
| Jarrod J. Eisma1, Colin D. McKnight2, Ciaran M. Considine1, Kilian Hett1, Alexander K. Song1, Caleb J. Han1, Jason Elenberger1, Daniel O. Claassen1, and Manus J. Donahue1,3 | ||
1Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Alzheimer's Disease, Neurofluids, Aging, Perfusion, Arterial spin labelling The goal of this work is to characterize changes in the choroid plexus (ChP) and aqueductal cerebrospinal fluid dynamics in patients with Alzheimer’s disease utilizing arterial spin labeling (ASL) and phase contrast (PC), respectively. We observed that across all participants, ChP hypertrophy was associated with reduced ChP perfusion. However, we did not observe differences in ChP perfusion or net CSF flow between AD and healthy cohorts. The observed increase in peak CSF flow with age, despite the general decrease in ChP perfusion with age, suggests that the ChP performs functions beyond simply increasing or decreasing CSF production. |
| 3045 | Computer 168
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Decreased cholinergic nucleus 4 basal forebrain density is associated with disease progression in Alzheimer’s Disease. |
| Coreylyn A. deBettencourt1, Kirubel Kentiba1, Alexander Atalay2, Benjamin T. Newman3, John D. Van Horn4, and T. Jason Druzgal3 | ||
1University of Virginia School of Medicine, Charlottesville, VA, United States, 2University of Virginia, Charlottesville, VA, United States, 3Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States, 4Department of Psychology, University of Virginia, Charlottesville, VA, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Density of the cholinergic nuclei of the basal forebrain has been shown to be associated with disease and symptom progression in Parkinson’s Disease. This project was aimed at determining if there is a similar effect of these brain regions in predicting cognitive impairment and disease progression in Alzheimer’s Disease. By using a longitudinal multicenter dataset of Alzheimer's patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we analyzed the relationship between grey matter density of cholinergic basal forebrain and disease progression. We demonstrated that patients with increased disease severity had significantly lower density in the cholinergic nuclei of the basal forebrain. |
| 3046 | Computer 169
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When texture does not matter: Misinterpretation of deep learning-based Alzheimer's disease classification |
| Christian Tinauer1, Stefan Ropele1, and Christian Langkammer1 | ||
1Medical University of Graz, Graz, Austria |
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Keywords: Alzheimer's Disease, Machine Learning/Artificial Intelligence Recent studies have shown Clever Hans effects in e.g. a widely used MRI tumor dataset. Clever Hans was a horse in the early 20th century that could supposedly do some arithmetic, although it only reacted to unintended cues of its owner. Inspired by these insights, we used T1w images from the ADNI database and removed the texture using threshold binarization. By using a standard deep neural network we separated images from Alzheimer's patients (n=404) from normal controls (n=905). This study revealed that volumetric measures are overwhelmingly relevant for the classification, while textures (T1w-contrast variations) are neglectable. |
| 3047 | Computer 170
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Predicting brain-behavior relationships using Voxel-based Predictive Modeling in ASL data of older subjects |
| Scott Peltier1, Michelle Karker2, Luis Hernandez1, Henry Paulson3, Bruno Giordani4, Benjamin M Hampstead4, and Doug Noll2 | ||
1Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 3Neurology, University of Michigan, Ann Arbor, MI, United States, 4Psychiatry, University of Michigan, Ann Arbor, MI, United States |
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Keywords: Alzheimer's Disease, Data Analysis A recent technique, Connectome-based Predictive Modeling (CPM), has shown promise in relating imaging-derived measures to clinical/behavioral observations. In this work, we adapt this method to relate volumetric CBF data to continuous composite measures of memory, learning, and language in subjects with MCI and DAT, along with healthy subjects. Models using the learning and memory composite scores had the largest effect sizes and statistical significance using permutation testing. Regions in the feature masks indicate involvement of brain regions that may be impacted in DAT. This demonstrates the utility of ASL-based perfusion measurement as a predictor of cognitive status in older subjects. |
| 3048 | Computer 171
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White matter damage in end-stage kidney disease patients with cognitive impairment: a fixel-based analysis |
| Chih-Chien Tsai1, YI-Chou Hou2, Yao-Liang Chen3, and Jiun-Jie Wang4 | ||
1Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan, 2Department of Nephrology, Cardinal Tien Hospital at Xindian, New Taipei City, Taiwan, 3Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan, 4Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan |
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Keywords: Dementia, Kidney Patients with end-stage kidney disease are vulnerable to cognitive impairment or dementia. Previous studies indicated that end-stage kidney disease subjects manifest prominent white matter hyperintensities. We use fixel-based analysis to examine the tract-specific differences in fixel-based metrics between end-stage kidney disease patients and normal participants. The results demonstrate the pattern of white matter degeneration in end-stage kidney disease patients. Our findings suggest that end-stage kidney disease patients with cognitive impairment exhibit white matter abnormalities. In clinical, the fixel-based analysis may serve as a potential biomarker for monitoring white matter change caused by disease. |
| 3049 | Computer 172
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Cortical thickness related to future score on the Dementia Questionnaire for People with Learning Disabilities in adults with Down syndrome |
| Katherine Anne Koenig1, Stephen Ruedrich2, Se-Hong Oh1, Mark J Lowe1, and James B Leverenz1 | ||
1The Cleveland Clinic, Cleveland, OH, United States, 2University Hospitals, Cleveland, OH, United States |
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Keywords: Alzheimer's Disease, Genetics, Down Syndrome Down syndrome (DS) is a genetic condition that is associated with early onset Alzheimer’s disease (AD). Individuals with DS show changes in neuroanatomy, including regional increases in cortical thickness. Here, we assess cortical thickness in ten non-demented adults with DS. We focus on regions that show cortical thinning in AD and relate cortical thickness to scores on a measure of dementia. We find that regional thickness measures are related to the 4.6 year change in a measure of dementia, suggesting that the magnitude of early DS-related neuroanatomical differences may relate to aspects of dementia onset. |
| 3050 | Computer 173
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Prediction of amnestic mild cognitive impairment using radiomics-clinical model based on 3D-T1WI imaging |
| Wei Zheng1,2, Ronghua Mu1, Xiaoyan Qin1, Xin Li1, Fuzhen Liu1, Zeyu Zhuang1,2, Peng Yang1, Jian Lv1, Xiqi Zhu1, and Kan Deng3 | ||
1the Nanxishan Hospital, Guangxi Zhuang Autonomous Region, guilin, China, 2Graduate School of Guilin Medical University, guilin, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Alzheimer's Disease, Radiomics Mild cognitive impairment (MCI) is a transitional state between normal aging and dementia disorders, especially Alzheimer's disease (AD). In this study, we aimed to develop a radiomics model based on 3D-T1W imaging to distinguish amnestic mild cognitive impairment (aMCI) patients from the normal elderly population by measuring changes in the frontal lobe. And the result shows that a quantitative nomogram based on clinical feature and radiomic features of MRI imaging can be used to distinguish aMCI and CN with excellent predictive ability, which can be served as a potential decision support tool to assist clinicians in Screening community aMCI population.
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| 3051 | Computer 174
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Treatment response prediction of major depressive disorder using brain magnetic resonance imaging |
| Fenghua Long1, Qian Zhang1, Yaxuan Wang1, Qian Li1, Youjin Zhao1, and Fei Li1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China, Chengdu, China |
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Keywords: Dementia, MR Value We performed a meta-analysis by including published studies using machine learning for unrestricted modalities and interventions on magnetic resonance imaging (MRI) data to predict the effectiveness of treatment for patients with major depressive disorder (MDD). The results showed that the resting-state functional MRI (rs-fMRI) had higher predictive performance in the modality subgroups, suggesting brain rs-fMRI may have an advantage in prediction performance. Using machine-learning analysis to predict treatment effectiveness is promising, but should not yet be implemented into clinical practice. |
| 3052 | Computer 175
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Studying the Impact of Diabetes on the Pathogenesis of Alzheimer’s Disease |
| Thomas Jue1, James Graham2, Usman Rehman1, Keshav Datta3, Shie-Chau Liu3, Jane Chen4, Ralph Hurd3, and Daniel Spielman3 | ||
1Biochemistry and Molecular Medicine, University of California, Davis, CA, United States, 2Nutrition, University of California, Davis, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States, 4Center for Genomic Pathology Laboratory, University of California, Davis, CA, United States |
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Keywords: Alzheimer's Disease, Neurodegeneration, Hyperpolarized C13 MRI/MRS Metabolism How type 2 diabetes (T2D) increases the risk of Alzheimer’s disease (AD) frames the central research question. The study has developed a rat model that exhibits both T2D and AD (T2D-AD +/-). These hemizygous animals contain the genes APPswe and PS1ΔE9 and display amyloid burden as early as 6 mos of age. Standard Tg344-AD +/- model shows amyloid plaque at 9 mos of age. AD impairs cognitive performance but brain metabolism as observed with Barnes Maze test and dynamic nuclear polarization experiments. MRS/MRI and physiological studies can now use the animal model to interrogate how insulin insensitivity accelerates AD onset/progression. |
| 3053 | Computer 176
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Multimodal deep learning for Alzheimer’s disease classification and clinical score prediction |
| Vaibhavi Sanjeet Itkyal1, Ishaan Batta2, Anees Abrol3, and Vince Calhoun2 | ||
1Neuroscience, Emory University, Decatur, GA, United States, 2Georgia Tech, Decatur, GA, United States, 3Georgia State University, Decatur, GA, United States |
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Keywords: Alzheimer's Disease, Multimodal, Neurodegeneration, Deep Learning In this project, we use different neuroimaging modalities in the ADNI data, including structural magnetic resonance imaging (sMRI) and temporal transformations of resting-state functional magnetic resonance imaging (rs-fMRI) data, for several classification (e.g., diagnosis) and regression (e.g., age and clinical assessments) objectives. |
| 3054 | Computer 177
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Disrupted subsystem interactions of default mode network in mild cognitive impairment: A Resting-State Functional Connectivity MRI Study |
| Sirong Piao1, Keliang Chen1, Na Wang1, Yong Zhang2, and Yuxin Li1 | ||
1Huashan Hospital, Fudan University, Shanghai, China, 2GE Healthcare, Shanghai, China |
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Keywords: Alzheimer's Disease, fMRI (resting state) The default mode network (DMN) could be further divided into three subsystems, and each subsystem of DMN serves different cognitive functions. In this study, we revealed that cognitive decline is driven by weakened functional connectivity within the core subsystems, but enhanced functional connectivity between the core and MTL subsystems as well as the core and DMPFC subsystems. This dissociation may reflect abnormal core-centered connection abnormalities, along with the disruption of the MTL subsystem and the DMPFC subsystem to some degree. Our findings provided a promising imaging biomarker for the early diagnosis of AD. |
| 3055 | Computer 178
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Investigating Alzheimer’s disease in women: is pregnancy a risk factor? |
| Joana Pinto1, Sierra Sparks1, Genevieve Hayes1, and Daniel P. Bulte1 | ||
1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom |
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Keywords: Alzheimer's Disease, Alzheimer's Disease The influence of biological sex on clinical outcomes has been often neglected. Nevertheless, it is known that women have higher risk of dementia. Pregnancy might play an important role in this discrepancy, and studies have shown that this event is related to an increased risk of cerebrovascular impairment later in life. In this work we investigated the relation between the pregnancy related metrics and cognitive status and cerebral blood flow. Our results confirm that the number of pregnancies might be an important factor to consider when studying AD. Baseline CBF is not related to cognitive status or number of pregnancies. |
| 3056 | Computer 179
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Multi-shell DTI diffusion MRI Based Graph Theory Measures for Prediction of Cognitive Impairment in the Alzheimer’s Disease Connectome Project |
| Timothy Jaehyun Choi1, Nagesh Adluru1,2, Veena Nair1, Daniel Chu1, Camille Garcia-Ramos3,4, Anusha Adluru1, Shi-Jiang Li5, Andrew L Alexander2,4, Barbara Bendlin6, and Vivek Prabhakaran1 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin-Madison, Madison, WI, United States, 3Department of Neurology, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Medical College of Wisconsin, Milwaukee, WI, United States, 6Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Alzheimer's Disease, Brain Connectivity The prevalence of Alzheimer’s Dementia (AD) is on the rise, with an estimated economic burden to the US rivaling that of diabetes. Graph theory (GT) offers topological measures that can be used to detect connectivity changes due to aging and AD related processes. We aim to investigate the utility of GT measures based on multi-shell diffusion MRI (ms-dMRI) in discriminating aging individuals with cognitive impairment (CI) from healthy controls, and to find any intrinsic differences within the cognitively impaired subjects by clustering on the GT measures. |
| 3176 | Computer 121
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Respiratory Modulation of Cerebrospinal Fluid Flow During Paced Breathing |
| Makaila Banks1, Nicholas Cicero1, Daniel Gomez2,3, Ewa Beldzik4, Vitaly Napadow2,3, Jonathan Polimeni2,3, and Laura Lewis4 | ||
1Neuroscience, Boston University, Boston, MA, United States, 2Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 4Biomedical Engineering, Boston University, Boston, MA, United States |
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Keywords: Neurofluids, Neurofluids, Cerebrospinal Fluid, CSF We used flow-sensitive fMRI to explore the effect of paced respiration on cerebrospinal fluid (CSF) flow. Results indicate that paced breathing tasks at rates between 0.1 Hz and 0.25 Hz increase CSF flow. All breathing paces showed a striking increase in CSF inflow-enhanced signals with the highest group-averaged amplitude being 26% during the 0.1 Hz breathing task. We conclude that diaphragmatic paced breathing is an effective modulator of CSF flow that may represent increased fluid transport relative to free breathing. |
| 3177 | Computer 122
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Effects of Noise on Blood-Brain Barrier Permeability Measurement Error in Diffusion Weighted and Multi-Echo Arterial Spin Labeling MRI |
| Yufei David Zhu1, Donghoon Kim1, Youngkyoo Jung1,2, and Audrey Peiwen Fan1,3 | ||
1Biomedical Engineering, University of California, Davis, Davis, CA, United States, 2Radiology, University of California, Davis, Davis, CA, United States, 3Neurology, University of California, Davis, Davis, CA, United States |
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Keywords: Neurofluids, Arterial spin labelling, Blood-Brain Barrier Arterial spin labeling (ASL) MRI is noninvasive and has the potential to become a sensitive, clinically useful way to measure blood-brain barrier (BBB) permeability. Here, we focused on two different ASL sequences, diffusion-weighted (DW) and multi-echo (T2), and performed simulations to compare the robustness of BBB permeability (Texch) measurement to different levels of noise. We conclude that the Texch fitting for DW ASL is more robust to noise at a physiological arterial transit time (ATT) of 1000ms at the expense of being more vulnerable to bias when the assumed ATT deviates from the true underlying ATT. |
| 3178 | Computer 123
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Perivascular Space Imaging during Therapy for Medulloblastoma |
| Ruitian Song1, John O. Glass1, Giles W. Robinson2, Amar Gajja3, Thomas E. Merchant4, and Wilburn E. Reddick1 | ||
1Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, TN, United States, 2Oncology, St Jude Children's Research Hospital, Memphis, TN, United States, 3Pediatric Medicine, St Jude Children's Research Hospital, Memphis, TN, United States, 4Radiation Oncology, St Jude Children's Research Hospital, Memphis, TN, United States |
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Keywords: Neurofluids, Brain, Perivascular Space Imaging Patients with medulloblastoma treated with radio-chemotherapy (N=211) were examined by perivascular space (PVS) imaging at three time points: 0, 3, and 12 months. The patients were treated with different dose level based on risk factors. For low dose radiation, there were no significant changes in PVS between time points. A transient increase in PVS was observed for high and standard dose radiation during radiotherapy which subsequently resolved during chemotherapy. Perivascular space imaging is a potential biomarker to monitor the side effects from combined modality therapy. |
| 3179 | Computer 124
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Alterations of brain motion in idiopathic intracranial hypertension (IIH) based on amplified MRI (aMRI) |
| Haribalan Kumar1,2,3, Matthew Mcdonald3,4, Alireza Sharifzadeh2, Jet Wright3, Eryn Kwon2,3, Leigh Potter3, Paul Condron3,5, Taylor Emsden3,5, Daniel Cornfeld3, Graham Wilson3,6, David Freschini6, David Dubowitz7, Miriam Scadeng7, Helen Danesh-Meyer4,8, Samantha Holdsworth3,7, Sarah-Jane Guild2,9, Soroush Safaei2, and Gonzalo Maso Tolou2 | ||
1GE Healthcare, Gisborne, New Zealand, 2Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 3Mātai Medical Research Institute, Gisborne, New Zealand, 4Department of Opthalmology, University of Auckland, Auckland, New Zealand, 5Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand, 6Chelsea Hospital, Gisborne, New Zealand, 7Department of Anatomy & Medical Imaging, Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand, 8Eye Institute, Auckland, New Zealand, 9Department of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand |
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Keywords: Neurofluids, Brain, IIH, Intracranial Pressure Heartbeat-driven brain motion has historically remained limited to the domain of research. Such motion may provide a window to characterise parenchymal and CSF pressures where direct, invasive measurements are disruptive and difficult to justify. Amplified MRI (aMRI) is a recently developed method which amplifies subtle brain motion. We show preliminary data that aMRI can be used to detect changes in brain motion associated with increased intracranial pressure in idiopathic intracranial hypertension (IIH), suggesting a potential non-invasive method for evaluating pressure levels of the subarachnoid space in patients with altered intracranial pressure. |
| 3180 | Computer 125
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The potential of ultra-high resolution 7T T2-weighted TSE to assess the glymphatic system’s structure |
| Hendrik Mattern1,2 and Oliver Speck1,2,3,4 | ||
1Biomedical Magnetic Resonance, Otto von Guericke University, Magdeburg, Germany, 2German Center for Neurodegenerative Disease, Magdeburg, Germany, 3Center for Behavioral Brain Sciences, Magdeburg, Germany, 4Leibniz Institute for Neurobiology, Magdeburg, Germany |
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Keywords: Data Acquisition, Neurofluids In this proof-of-principle study the currently untapped potential of UHF MRI is shown. Two young, healthy volunteers were scanned at 7T with 2D 0.25x0.25x1.0mm T2w TSE depicting a substantial number of PVS. At this high resolution, vessel segments inside the PVS could be studied and quantified. Further, hyperintense structures around and inside the dura and sinuses were depicted clearly. |
| 3181 | Computer 126
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CO2 as an engine for neuro-fluid flow |
| Alex A Bhogal1, Yunjie Tong2, Eva van Grinsven3, Jaco J.M. Zwanenburg1, and Marielle E.P. Philippens3 | ||
1Center for Imaging Science, UMC Utrecht, Utrecht, Netherlands, 2Purdue University, West Lafayette, IN, United States, 3Radiotherapy, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Neurofluids, Neurofluids We use Blood Oxygen Level Dependent BOLD in combination with controlled hypercapnic stimulus to investigate the relationship between presumed cerebral blood volume changes and CSF flow in the brain. In a group of 11 subjects, we observe strong CSF inflow to the brain as a result of contracting cerebro-vasculature conforming to the Monro-Kellie Doctrine. Our results suggest that changes in arterial blood gases may provide an ‘engine’ through which to potentially enhance the clearance of waste from the brain. |
| 3182 | Computer 127
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Effect of yawning on CSF and blood flow through the neck |
| Adam Martinac1, Robert Lloyd1, Stean Waters1, and Lynne Bilston1 | ||
1Neuroscience Research Australia, Sydney, Australia |
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Keywords: Neurofluids, Neurofluids, Yawning, CSF Despite being a common behaviour amongst many animals, research into the mechanics of yawning is limited. We have attempted to address this by performing sagittal real time scans and phase contrast scans to observe the flow of cerebrospinal fluid and blood through the midplane of the C3 vertebra of the spine during induced yawning. We found that over the course of a yawn venous flow and CSF flow both moved caudally during inspiration and rostrally during expiration. |
| 3183 | Computer 128
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Fluid mechanics based distinct cerebrospinal fluid dynamics signature in normal pressure hydrocephalus |
| Pragalv Karki1, Petrice M Cogswell1, Matthew C Murphy1, Sandeep K Ganji1, Jonathan Graff-Radford2, David T Jones2, Benjamin D Alder2, and John Huston III1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Neurology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Neurofluids, Brain, Cerebrospinal fluid dynamics Normal pressure hydrocephalus (NPH) is a brain pathology with enlarged ventricles and is diagnosed as a cerebrospinal fluid (CSF) dynamics disorder based on a delayed ascent of radiotracer over the cerebral convexity and elevated flow through the cerebral aqueduct. In this study, we provide fluid dynamics-based evidence of disruption in CSF oscillation within the cerebral aqueduct in NPH patients. Particularly, we show that the peak volumetric flow is delayed with respect to peak transmantle pressure in NPH patients as compared to healthy control participants. |
| 3184 | Computer 129
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Characteristics of cerebral blood flow in sleep deprivation based on arterial spin labeling |
| Chen Wang1, Xiaolei Wang1, Leilei Li1, and Yuanqiang Zhu1 | ||
1Department of Radiology, Xijing Hospital, Air Force Medical University, Xi'an, China |
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Keywords: Neurofluids, Nervous system ASL has been widely used in neuroimaging studies to measure the metabolic activity of local brain microstructure due to its advantages of no radiation damage, no introduction of exogenous contrast agent, high repeatability and fast scanning time.In this study, ASL perfusion imaging was used to analyze the changes of cerebral blood perfusion during normal sleep and sleep deprivation. |
| 3185 | Computer 130
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Concurrent measurement of perfusion parameters related to small blood and lymphatic vessels in the human brain |
| Di Cao1,2,3, Yuanqi Sun1,2,3, Su Pan4, Jay J. Pillai5,6,7, Ye Qiao5, Hanzhang Lu1,2,3, Peter C.M. Van Zijl1,2, Linda Knutsson1,2,8, and Jun Hua1,2 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 3Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4School of Medicine, University of Maryland, Baltimore, MD, United States, 5Neuroradiology, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 6Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, United States, 7Neuroradiology, Mayo Clinic, Rochester, MN, United States, 8Department of Medical Radiation Physics, Lund University, Lund, Sweden |
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Keywords: Neurofluids, DSC & DCE Perfusion Accumulating evidence has indicated the importance of studying the interaction between the microvascular and lymphatic systems in the brain. To date, most imaging methods can only measure blood or lymphatic vessels separately. This study proposes an MRI approach for concurrent measurement of perfusion parameters related to small blood and lymphatic vessels within one single scan. A dual-echo TSE sequence was optimized for the measurement of gadolinium(Gd)-induced blood and CSF signal changes. The proposed method showed consistent results in human brains as previous studies using separate methods. Signal changes from small blood vessels occurred faster than lymphatic vessels after intravenous Gd-injection. |
| 3186 | Computer 131
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Abnormal glymphatic system function in patients with chronic migraine using diffusion tensor image analysis along the perivascular space |
| Xue Zhang1,2, Wei Wang3, Xueyan Zhang4, Xiaoyan Bai1,2, Ziyu Yuan3, Ruiliang Bai5,6,7, Bingjie Jiao6, Yingkui Zhang2, Zhiye Li1,2, Peng Zhang3, Hefei Tang3, Yaqing Zhang3, Xueying Yu3, Yonggang Wang3, and Binbin Sui2 | ||
1Department of Radiology, Beijing Tiantan hospital, Capital Medical University, Beijing, China, 2Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing, China, 3Headache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 5Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Shumen Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China, 6key Laboratory of Biomedical Engineering of Education Ministry, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 7MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China |
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Keywords: Neurofluids, Diffusion Tensor Imaging, Headache Chronic migraine (CM) is a common and highly disabling primary headache associated with vasomotion dysfunction. It is unclear whether glymphatic dysfunction develops due to frequent and chronic headache attacks in CM. In the current study, we evaluated the glymphatic system function in patients with CM using diffusion tensor image analysis along the perivascular space (DTI-ALPS) technique. We found a significantly higher ALPS index compared with healthy controls, and the alteration was significant only observed in the right hemisphere. Patients with CM have abnormalities in glymphatic function, and the right-prominent alterations might be a certain feature of CM. |
| 3187 | Computer 132
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Machine Learning for Quantitative IVIM (qIVIM) Cerebral Perfusion Imaging |
| Mira Liu1, Julian Bertini1, Niloufar Saadat2, Chisondi Simba Warioba1, Donovan Gorre1, Timothy Carroll1, and Gregory Christoforidis2 | ||
1University of Chicago, Chicago, IL, United States, 2Interventional Radiology, University of Chicago, Chicago, IL, United States |
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Keywords: Neurofluids, Perfusion Intravoxel Incoherent Motion (IVIM) is a non-contrast perfusion scan that measures various speeds of molecular movement. Segmentation of IVIM signal origin, i.e. from blood, cerebrospinal fluid (CSF), or tissue water, is crucial. Simulation suggested Inversion Recovery should not be used in IVIM to remove CSF, and analysis of signal patterns suggested differing signal decay as a method of removing CSF during post-processing. A threshold determined by k-fold leave-one-out cross-validation on IVIM diffusion coefficient returned successful CSF segmentation (dice = .69), and CSF removal by supervised machine learning via linear discriminant analysis returned quantitative IVIM with strong agreement to microsphere perfusion. |
| 3188 | Computer 133
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Cross vendors test-retest validation of diffusion tensor image analysis along the perivascular space for evaluating glymphatic system function |
| Xiaodan Liu1,2,3, Giuseppe Barisano4, Xingfeng Shao3, Kay Jann3, Hanzhang Lu5, Konstantinos Arfanakis6,7, Arvind Caprihan Caprihan 8, Charles DeCarli9, Brian T. Gold10, Pauline Maillard9, Clandia L. Satizabal11, Elyas Fadaee12, Mohamad Habes12, Lara Stables13, Herpreet Singh14, Bruce Fischl15,16,17,18, Andre van der Kouwe15,18,19, Kristin Schwab14, Karl G. Helmer15,18,19, Steven M. Greenberg14, and Danny JJ Wang3 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Zilkha Neurogenetic Institue, University of Southern California, Los Angeles, CA, United States, 3Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 4Neurosurgery, Stanford University, Palo Alto, CA, United States, 5Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 7Diagnostic Radiology and Nuclear Medicine, Rush University, Chicago, IL, United States, 8The Mind Research Network, Albuquerque, NM, United States, 9Neurology, University of California, Davis, Davis, Davis, CA, United States, 10Neuroscience, University of Kentucky, Lexington, KY, United States, 11Population Health Sciences and Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States, 12Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States, 13Neurology, University of California, San Francisco, San Francisco, CA, United States, 14Neurology, Massachusetts General Hospital, Boston, MA, United States, 15Radiology, Harvard Medical School, Boston, MA, United States, 16Athinoula A. Martinos Center for Biomedical Imaging,Massachusetts General Hospital, Charlestown, MA, United States, 17Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, MA, United States, 18Radiology, Massachusetts General Hospital, Boston, MA, United States, 19Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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Keywords: Neurofluids, Brain, glymphatic system The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was proposed to evaluate glymphatic system (GS) function. However, few studies validate its reliability and reproducibility. 50 participants’ DTI data from the MarkVICD consortium were recruited in this study. Two pipelines by using DSI studio and FSL software were developed for data processing and ALPS-index calculation. The mean ALPS-index was obtained by the average of bilateral ALPS-index and was used for testing the cross vendors test-retest reliability by using R studio. Mean ALPS-index demonstrated favorable inter-scanner reproducibility, inter-rater reliability and test-retest repeatability, offering a potential biomarker for GS function. |
| 3189 | Computer 134
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Visualization of Human Neurofluids Using Intrathecal 17O-Labeled Water and MRI: A Preliminary Study |
| Hiroyuki Kameda1,2, Taisuke Harada1,3, Hiroyuki Sugimori4, Xiawei Bai3, Kazuyuki Minowa2, and Kohsuke Kudo3,5 | ||
1Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 2Department of Raiology, Faculty of Dental Medicine, Hokkaido University, Sapporo, Japan, 3Department of Diagnostic Imaging, Facaulty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan, 4Faculty of Health Sciences, Hokkaido University, Sapporo, Japan, 5Global Center for Biomedical Science and Engineering, Hokkaido University, Sapporo, Japan |
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Keywords: Neurofluids, Neurofluids Imaging of neurofluids dynamics is a promising aspect in clinical imaging. Only few methods of long-term water tracking in the brain have been described for diagnostic purposes. Herein, we examined water circulation between the CSF and ISF using an intrathecal injection of 17O-labeled water and 3T-MRI in two patients with dementia. Signal changes were detected in the brain parenchyma after the intrathecal administration. This visualization technique can detect the distribution of water tracers to the CSF and brain parenchyma and could become a clinical tool for evaluating neurofluids dynamics in humans. |
| 3190 | Computer 135
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Intracranial Hemorrhage Patient CSF Susceptibility Variation: Implications for Quantitative Susceptibility Mapping Reference Selection. |
| Shutao Wang1, Pascal Spincemaille2, Magdy Selim3, Ajith J Thomas4, Aristotelis Filippidis5, Yan Wen6, Yi Wang2, and Salil Soman1 | ||
1Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 3Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 4Department of Neurological Surgery, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, NJ, United States, 5Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 6GE Healthcare, New York, NY, United States |
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Keywords: Neurofluids, Quantitative Susceptibility mapping, CSF Blood QSM is an emerging MR technique with many clinical applications, especially in the brain. CSF has been used by many researchers as the reference region to obtain quantitative QSM values for inter-subject comparison. Here, we demonstrate the QSM values at hemorrhagic CSF sites are significantly different from that at non-hemorrhagic CSF sites in the same patient with various types of intracranial hemorrhage. This finding has significant clinical implication as selection of CSF as the reference region should be made with caution in patients with intracranial hemorrhage. |
| 3191 | Computer 136
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Assessing CSF secretion by measuring net velocity of CSF in the human subarachnoid space using displacement encoding with stimulated echoes at 7T. |
| Elisabeth C. van der Voort1, Merlijn C.E. van der Plas1, and Jacobus J.M. Zwanenburg1 | ||
1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Neurofluids, Velocity & Flow Continuous secretion and absorption of cerebrospinal fluid (CSF) cause a net velocity that is important for cerebral clearance. However, measuring this net velocity is hampered by the cardiac and respiratory cycle which induce additional CSF motions. We show, with both simulations and in vivo measurements, that net velocity of CSF in the subarachnoid space can be measured using displacement encoding with stimulated echoes (DENSE), when contributions from heartbeat and respiration are accounted for during the analysis. Measured net velocity was 4.41±1.57 µm/s (6 subjects). Further research is needed to properly account for possible phase wraps in the measurements. |
| 3192 | Computer 137
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Application of the CT ABC/2 Method for Measuring Intracranial Bleed Volume on mcTFI QSM MRI. |
| Ria Sharma1, Geunwon Kim2, Magdy Selim3, Ajith J Thomas4, Aristotelis Filippidis5, Yan Wen6, Pascal Spincemaille7, Yi Wang7, and Salil Soman1 | ||
1Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2Atrius Health, Boston, MA, United States, 3Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 4Department of Neurological Surgery, Cooper University Health Care, Cooper Medical School of Rowan University, Camden, NJ, United States, 5Neurosurgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 6GE Healthcare, New York, NY, United States, 7Department of Radiology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Neurofluids, Brain, Intracranial Hemorrhage, ABC/2, Bleed Volume Estimation Intracranial hemorrhage (ICH) volume estimation is important for patient management. ABC/2 is a validated method of volume estimation using CT (2). Differing appearance of blood across MRI imaging techniques and blood age limits the ability of MRI to evaluate ICH volume. The QSM technique mcTFI has features well suited to bleed measurement. In this study we show that the widely used ABC/2 CT technique for ICH volume measurement applied to mcTFI QSM MRI yields ICH volumes strongly correlated with those obtained using CT. |
| 3193 | Computer 138
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CSF oxygenation imaging using long TE heavily T2-weighted Fluid-Attenuated Inversion Recovery |
| Manuel Taso1 and David C Alsop1 | ||
1Division of MRI Research, department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Keywords: Neurofluids, Brain The cerebrospinal fluid plays an essential role in cerebral homeostasis, contributing to the delivery of oxygen and nutrients to brain tissue as well as clearing waste products. However, the mechanisms and functions of CSF oxygenation and their potential disturbance in pathology remain unknown. Dissolved O2 shortens T1 of water due to its paramagnetic properties. Because of its extremely long T2, selective CSF imaging can be achieved by using extremely long TE (>500ms) Spin-Echo based acquisitions. Therefore, we report here a study using ultra long TE Fluid-Attenuated Inversion Recovery to image baseline CSF oxygenation with minimal tissue contribution. |
| 3194 | Computer 141
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A Correlation Study Between Brain Sub-Region Volumes and the Severity of Parkinson’s Disease |
| Zhanhao Mo1, Lin Liu1, Lei Zhang1, Runyu Tang2, Yunfei Zhang2, Yongming Dai2, and He Sui1 | ||
1China-Japan Union Hospital of Jilin University, Jilin, China, 2MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Parkinson's Disease, Segmentation By applying a deep-learning based brain segmentation algorithm on T1-weighted images, the brain was segmented into 106 sub-regions and regional volumes were determined automatically. We analyzed the relationship of brain regional volumes and the severity of Parkinson’s Disease (PD) and compared regional volumes in a cohort of patients with mild and moderate PD. Our data demonstrated that regional volumes of certain brain structures had the potential ability in the characterization of PD. |
| 3195 | Computer 142
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Reductions in nigral volume of de novo and moderate Parkinson’s disease patients |
| Jason Langley1, Kristy Hwang2, Daniel Huddleston3, and Xiaoping Hu1,4 | ||
1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 22Department of Neurosciences, University of California San Diego, San Diego, CA, United States, 3Department of Neurology, Emory University, Atlanta, GA, United States, 4Department of Bioengineering, University of California Riverside, Riverside, CA, United States |
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Keywords: Parkinson's Disease, Parkinson's Disease, substantia nigra Neuronal loss in substantia nigra pars compacta is a hallmark of Parkinson's disease. In this abstract, we examine nigral volume in a group without Parkinson's disease (non-carriers, non-manifest LRRK2 and GBA mutations), de novo Parkinson's disease, and moderate Parkinson's disease. Reductions in nigral volume are seen in the Parkinson's disease groups relative to the group without Parkinson's disease. A further reduction is seen in nigral volume of the moderate Parkinson's disease group relative to the de novo group, suggesting that nigral degeneration continues as Parkinson's disease progresses. |
| 3196 | Computer 143
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Altered Hippocampal Subregions Volumes Is Associated With Emotional Impairment of Parkinson’s Disease |
| Mingrui Qu1, Bingbing Gao1, Yuhan Jiang1, Yuan Li1, Lizhi Xie2, and Yanwei Miao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, Shanghai, China |
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Keywords: Parkinson's Disease, Psychiatric Disorders Depression is the main emotional manifestation associated with Parkinson's disease. The hippocampus is a core region in the limbic system, critical in regulating emotion. This study explored the subregional atrophy pattern of the hippocampus in Parkinson's disease with depression (DPD) patients and its correlation with the severity of depressive symptoms. The results of this study suggest that DPD patients exhibit a left asymmetric atrophy pattern in the hippocampus and its subregions. Partial correlation analysis showed that the left dentate gyrus, left molecular layer, left CA4 and left hippocampal volumes were negatively correlated with Hamilton depression scale scores in DPD patients. |
| 3197 | Computer 144
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Association between subregions of the substantia nigra and behavioral symptoms in patients with Parkinson disease using neuromelanin MRI |
| Paula Trujillo1, Kilian Hett1, Kaitlyn R. Hay1, Alexander K. Song1, and Daniel O. Claassen1 | ||
1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Parkinson's Disease, Neuroscience We investigated the relationship between subregions of the substantia nigra and behavioral disinhibition in patients with Parkinson disease using neuromelanin MRI. We found a significant positive relationship between disinhibition and neuromelanin MRI contrast ratio in bi-lateral clusters localized in the medial substantia nigra. These findings suggest that neuromelanin MRI can be used to assess the localization of changes in the substantia nigra and inform how dopamine pathophysiology relates to behavioral symptoms in Parkinson disease. |
| 3198 | Computer 145
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Baseline cerebral structural morphology predicts future freezing of gait in early drug-naïve Parkinson’s disease |
| Yuting Li1,2, Xiuhang Ruan1, Yongzhou Xu3, and Xinhua Wei4 | ||
1The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China, 2Affiliated Dongguan Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China, 3Philips Healthcare, Guangzhou, China, 4Guangzhou First People's Hospital, Guangzhou, China |
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Keywords: Parkinson's Disease, Parkinson's Disease, drug-naïve Parkinson’s disease, Freezing of gait (FOG) We developed a model that could predict the occurrence of Freezing of gait (FOG) at the individual level using machine learning with the clinical, laboratory, and cerebral structural imaging information of early drug-naïve Parkinson’s disease (PD) patients. Data from 158 early drug-naïve PD patients at baseline were obtained from the Parkinson’s Progression Markers Initiative cohort. The predictive performance of future FOG in early PD was evaluated using elastic net-support vector machine models. T1WI morphometric markers have the potential to help predict future FOG in patients with early PD at an individual level, with improved performance when integrated with clinical variables. |
| 3199 | Computer 146
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The evaluation of relationship between motor cortex GABA levels and Gyrification Pattern in Patients With early-onset Parkinson Disease |
| yuan Tian1, pengfei Liu1, and Jianxiu Lian2 | ||
1The First Affiliated Hospital of Harbin Medical University, Harbin, China, 2Philips Healthcare, Beijing, China |
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Keywords: Parkinson's Disease, Neurodegeneration Stimulation of the motor cortex (MC) significantly reduce akinesia and bradykinesia in Parkinson Disease (PD), indicating a key role of motor cortex abnormalities in the pathogenesis of PD. Early-onset Parkinson disease (EOPD) , varying between 40 and 55 years of age, it carries additional societal and personal consequences and psychosocial disruption. Thus we aim to explore the cortical gyrification changes as well as their relationships with r-aminobutyric acid (GABA) in the motor cortex(MC) of patients with early-onset Parkinson disease (EOPD). Results showed that decreased in LGI and GABA+/Cr ratios in the motor cortex were found to be slightly coupled. |
| 3200 | Computer 147
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Glymphatic system impairment in Parkinson’s disease with rapid movement sleep behavior disorder |
| Amei Chen1, Junxiang Huang2, Xiaofei Huang1, Xiaofang Cheng3, Yongzhou Xu4, and Xinhua Wei1 | ||
1Guangzhou First People's Hospital, Guangzhou, China, 2Guangzhou Women and Children's Medical Center, Guangzhou, China, 3The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, 4Philips Healthcare, Guangzhou, China |
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Keywords: Parkinson's Disease, Diffusion Tensor Imaging, glymphatic system；rapid movement sleep behavior disorder To assess the activity of the glymphatic system in PD patients with probably rapid movement sleep behavior disorder (PD-pRBD) using diffusion tensor image analysis along the perivascular space( DTI-ALPS) index. 61 PD-pRBD, 92 PD patients with no probable RBD(PD-npRBD) and 59 healthy control (HC) were included in the study. The results showed that the ALPS index in PD-pRBD group was lower than that in PD-npRBD group. The index of ALPS in PD-pRBD was negatively correlated with REM sleep behavior disorder screening questionnaire(RBDSQ) score. We concluded that the glymphatic system function of PD with RBD is impaired. |
| 3201 | Computer 148
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Axonal abnormalities in deep brain nuclear pathways across multiple neurotransmitter systems in de novo Parkinson’s disease patients |
| Yao-Chia Shih1,2,3, Pohchoo Seow2, Hu-Lin Christina Wang1,4, Aeden Zi Cheng Kuek2, Septian Hartono3,5, Sui-Hing Yan6, Eng King Tan3,5, and Ling Ling Chan2,3 | ||
1Graduate Institute of Medicine, Yuan Ze University, Taoyuan City, Taiwan, 2Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 3Duke-NUS Medical School, Singapore, Singapore, 4Department of Traumatology, Far Eastern Memorial Hospital, New Taipei City, Taiwan, 5Department of Neurology, National Neuroscience Institute – SGH Campus, Singapore, Singapore, 6Department of Neurology, Far Eastern Memorial Hospital, New Taipei City, Taiwan |
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Keywords: Parkinson's Disease, Diffusion Tensor Imaging The present study systematically and comprehensively reviewed the axonal pathways projecting from the deep brain nuclei that are emerging targets for treating Parkinson’s disease (PD). We tracked 124 deep brain nuclear pathways across different neurotransmitters systems in the high angular HCP-1065 diffusion MRI template using diffusion MRI tractography. With the trajectories of these pathways, we successfully used Parkinson's Progression Markers Initiative (PPMI) diffusion tensor imaging (DTI) data to characterize abnormal DTI changes in noradrenergic and serotoninergic pathways in relation to the severity of non-motor symptoms in de novo PD patients, suggesting a wide neural involvement of clinical PD manifestations. |
| 3202 | Computer 149
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Sex differences in brain structure in de novo Parkinson’s disease: A cross-sectional and longitudinal neuroimaging study |
| Hui Li1, Chen Zhang2, Xiuqin Jia1, and Qi Yang1 | ||
1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China |
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Keywords: Parkinson's Disease, Parkinson's Disease, sex difference, brain structure, cross-sectional, longitudinal The aim of this study was to investigate sex differences in brain structure at baseline and sex differences in longitudinal changes at follow-up between female and male PD patients after excluding the expected effects of age and sex. At baseline, male PD patients exhibited significantly lower brain volume and decreased cortical thickness than age-matched female PD patients. At follow-up, these sex differences remained stable and analogous progressive brain atrophy with no sex interaction were found in male and female PD patients, suggesting similar trend in disease progression between sexes over time. |
| 3203 | Computer 150
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Functional and Microstructural Comparative Study on Monogenic vs Idiopathic Parkinson's Disease |
| Hacer Dasgin1, Basak Soydas Turan2, Bilge Volkan Salanci3, Eser Lay Gun2, Gul Yalcin Cakmakli3, Bulent Elibol3, and Kader K. Oguz1,4,5 | ||
1Umram, Bilkent University, Ankara, Turkey, 2Faculty of Medicine, Department of Nuclear Medicine, Hacettepe University, Ankara, Turkey, 3Faculty of Medicine, Department of Neurology, Hacettepe University, Ankara, Turkey, 4Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey, 5University of California, Davis, CA, United States |
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Keywords: Parkinson's Disease, fMRI (resting state) Clinical presentation of monogenic PD differs from idiopathic PD, which might relate to different structural and functional alterations. Previously, we examined a small group of genetic PD patients with connectivity changes in the basal ganglia, compared with healthy control (HC)s. In this study we further examined monogenic PD patients and compared idiopathic PD group and HCs that functional and microstructural changes would be different in these groups of patients. There was no significant basal ganglia network (BGN) alteration between PD groups, but ACC activation is remarkable in both groups. Significantly decreased fractional anisotropy in mPD patients compared to iPD patients. |
| 3204 | Computer 151
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Reproducibility of Iron and Neuromelanin Changes of Deep Grey Matter in 2 Large Movement Disorder Cohorts |
| Naying He1, Ewart Mark Haacke1,2, Ying Wang2, Youmin Zhang1, Xinhui Wang1, Zhijia Jin1, Yan Li1, Peng Wu3, and Fuhua Yan4 | ||
1Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China, 2SpinTech MRI, Bingham Farms, MI, USA 48025, Bingham Farms, MI, United States, 3Philips Healthcare, Shanghai, China, 4Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: Parkinson's Disease, Neurodegeneration Diagnosing movement disorders (MDS) is a major challenge clinically. Neuromelanin and iron serve as biomarkers for MDS but few studies have evaluated a large number of cases for multiple disorders. We studied 614 patients consisting of two cohorts with different resolutions. The QSM and NM-MRI data were automatically processed using a unique template program. The results from both cohorts showed reproducible changes of iron and neuromelanin in the deep gray matter. Specifically, a loss of neuromelanin volume, an increase in iron content of the SN for both PD and MSA; increased RN iron and decreased putamen volume in MSA. |
| 3205 | Computer 152
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Exploring the effects of tissue iron in neuromelanin MRI |
| Minjun Kim1, Sooyeon Ji1, Joonhyeok Yoon1, Hwihun Jeong1, Hongjun An1, Jiye Kim1, Jonghyo Youn1, Junghwa Kang2, Eung Yeop Kim3, Yoonho Nam2, and Jongho Lee1 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Korea, Republic of, 3Department of Radiology, Samsung Medical Center, Seoul, Korea, Republic of |
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Keywords: Parkinson's Disease, Parkinson's Disease Neuromelanin MRI signal decreases in IPD patients in the substantia nigra. In this study, we investigated that the decrease is caused by not only the reduction of neuromelanin but also iron deposition. Neuromelanin reduction in IPD patients was shown by the result of the substantia nigra volume decrease. The comparison result of contrast ratio, calculated between substantia nigra and crus cerebri, of IPD patients versus healthy controls demonstrated that iron deposition also decreases the signal of NM-MRI. T2*, susceptibility, and overlapped area between substantia nigra from neuromelanin MRI and hypo-intense area from SMWI also represented the tendency of iron deposition. |
| 3206 | Computer 153
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Quantitative Iron-Neuromelanin MRI Matches Expert Visual Performance and Is Associated with Parkinson’s Disease Severity |
| Septian Hartono1,2, Robert Chen3, Thomas Welton1, An Sen Tan3, Weiling Lee3, Peik Yen Teh3, Celeste Chen1, Wenlu Hou3, Wei Ping Tham3, Ee Wei Lim1, Prakash Kumar1, Yao-Chia Shih4, Kuan Jin Lee5, Louis Chew Seng Tan1, Eng King Tan1, and Ling Ling Chan3 | ||
1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Singapore General Hospital, Singapore, Singapore, 4Yuan Ze University, Taoyuan, Taiwan, 5Institute of Bioengineering and Bioimaging, Singapore, Singapore |
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Keywords: Parkinson's Disease, Parkinson's Disease Nigrosome-1, a subregion of substantia nigra (SN), and neuromelanin have been identified as good biomarkers of Parkinson's disease (PD) pathology. We investigated the diagnostic accuracy of quantitative iron-neuromelanin parameters and compared these against visual analysis of nigrosome-1 and neuromelanin hyperintensity as proxies of nigral dopaminergic neurodegeneration. Susceptibility map-weighted imaging surpassed neuromelanin sensitive MRI in blinded visual PD classification; reader expertise affected performance. Composite quantitative iron-neuromelanin marker matched diagnostic accuracy of expert reader in visual evaluation of nigrosome-1 using susceptibility map-weighted imaging, potentially improving diagnostic confidence in non-experts. Quantitative susceptibility mapping showed moderate negative correlation with motor dysfunction in PD patients. |
| 3207 | Computer 154
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Differential Diagnosis Between Parkinson's Disease and Essential Tremor with Neuromelanin Imaging of the Substantia Nigra and Locus Coeruleus |
| Xinhui Wang1, Naying He1, Ewart Mark Haacke2, Yu Liu1, Peng Liu1, Youmin Zhang1, Zhijia Jin1, Yan Li1, Peng Wu3, and Fuhua Yan1 | ||
1Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Biomedical Engineering, Wayne State University, Detroit, MI, United States, 3Philips Healthcare, Shanghai, China |
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Keywords: Parkinson's Disease, Brain, essential tremor; neuromelanin MRI; locus coeruleus;substantia nigra In this study, we used neuromelanin MRI to investigate locus coeruleus (LC) and substantia nigra changes between essential tremor (ET) and Parkinson’s disease (PD). We found the neuromelanin of LC was significantly lower in tremor-dominant PD patients than in ET patients or healthy controls, and the area under the curve of the model constructed by NM measures reached 0.92 in differentiating tremor-dominant PD from ET. These results provided new perspectives in the differential diagnosis of patients with tremor and in the investigation of the underlying pathophysiology. |
| 3208 | Computer 155
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Amplitude of low-frequency fluctuation-based regional radiomics similarity network: biomarker for Parkinson’s disease |
| Dafa Shi1, Haoran Zhang1, Guangsong Wang1, and Ke Ren1 | ||
1Department of Radiology, Xiang’an Hospital of Xiamen Uneversity,School of Medicine, Xiamen University, Xiamen, China |
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Keywords: Parkinson's Disease, Brain Connectivity Development of more clinically effective and quantifiable biomarkers to detect PD is urgently needed. It confirmed that regional radiomics similarity network (R2SN) had high reproducibility and a biological basis and provided a new perspective for understanding the human brain. Our study showed that R2SN constructed based on ALFF had good reproducibility and stability, and is biological plausibility. We found PD-related brain regions mainly located in the default-mode, sensorimotor, executive control, visual, frontoparietal network, as well as cerebellum, and striatum. ALFF-based R2SN is a novel, robust potential neuroimaging biomarker for PD and could provide new insights into connectome reorganization in PD. |
| 3209 | Computer 156
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Imaging Nigrosome-1 using Wave-CAIPI Susceptibility Weighted Imaging at 3T |
| Peng Liu1, Naying He1, Youmin Zhang1, Caixia FU2, Qing Li3, E. Mark Haacke4, Yu Liu1, Wei Liu2, Xinhui Wang1, Daniel Polak5, and Fuhua Yan1 | ||
1Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3Siemens Healthineers Ltd., Shanghai, China, 4Wayne State University, Detroit, MI, United States, 5Siemens Healthcare GmbH, Erlangen, Germany |
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Keywords: Parkinson's Disease, Data Acquisition, Magnetic resonance imaging, Nigrosome-1, Susceptibility Weighted Imaging In this work, the ability of Wave-CAIPI accelerated 3D SWI for imaging the Nigrosome-1(N1) sign was evaluated. Short-TE, long-TE and conventional SWI protocols were compared for the detection of the N1 sign. Qualitative and quantitative analyses were used to evaluate the presence or absence of the N1 sign and the contrast-to-noise (CNR) of the N1 sign relative to adjacent tissues. The results showed that Wave-CAIPI SWI had no significant differences with conventional SWI for recognizing the N1 sign. Wave-CAIPI SWI can be a replacement of conventional SWI (4 min 52s) with shorter scan times of 2min 26s covering the whole brain. |
| 3210 | Computer 157
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Major structural abnormalities in the alpha-synuclein mouse model of Parkinson’s Disease revealed with MR Microscopy at 16.4 T |
| Ruxanda Lungu Baião1, Tiago Fleming Outeiro2, and Noam Shemesh1 | ||
1Preclinical MRI, Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal, 2Department of Experimental Neurodegeneration, University of Göttingen, Goetingen, Germany |
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Keywords: Parkinson's Disease, Neurodegeneration Parkinson's disease (PD) is associated with irreparable damage to dopaminergic neurons due to α-synuclein (aSYN) inclusions. Dopaminergic pathways include the nigrostriatal, mesolimbic, mesocortical and tuberoinfundibular systems that play vital roles. Thus, dysregulations of dopamine function may lead to brain-wide consequences. Apart from a mouse PD model of injected aSYN1, brain morphology alterations in genetic mouse models have not been described in detail using MRI. Here we explore brain morphological differences between PD models and healthy controls, crucial for further understanding of the disease. We find major morphological abnormalities in areas such as Lateral Ventricles, Corpus Callosum and the surrounding Cortex. |
| 3211 | Computer 158
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Multimodal assessment of nigrostriatal degeneration in de novo Parkinson’s disease |
| Miguel López-Aguirre1,2,3, Michele Matarazzo1,3, Javier Blesa1,3, Álvaro Sánchez-Ferro1,4, Mariana H.G. Monje1,5, José A. Obeso1,3,6, and José A. Pineda-Pardo1,3,6 | ||
1HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Spain, 2Universidad Complutense de Madrid, Madrid, Spain, 3Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain, 4Neurology Department, Hospital Universitario 12 de Octubre, Madrid, Spain, 5Ken and Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, United States, 6Universidad San Pablo-CEU, Madrid, Spain |
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Keywords: Parkinson's Disease, Multimodal, Dopamine, free-water DTI, Iron FDOPA uptake rate, fractional volume of free-water and R2* relaxometry are imaging biomarkers sensitive to dopaminergic decline, microstructural degeneration, and iron disruption respectively, three pathological processes developed within the nigrostriatal system in Parkinson’s disease (PD). A multimodal comprehensive characterization of these biomarkers in early PD was performed, assessing them within striatum and substantia nigra pars compacta in a de novo PD cohort. While iron disruption was not observed, PD subjects revealed dopaminergic and microstructural alterations within the nigrostriatal system, following both similar spatial patterns. These results serve to improve our understanding of nigrostriatal vulnerability and degeneration in early PD. |
| 3212 | Computer 159
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Neuromelanin hemispheric asymmetry in normal aging and early Parkinson’s disease with motor symptom laterality |
| Xueling Liu1, Yuxin Li1, Puyeh Wu2, Na Wang1, Fengtao Liu3, and Daoying Geng1 | ||
1Radiology Department of Huashan Hospital affiliated to Fudan University, Shanghai, China, 2GE healthcare, Beijing, China, 3Neurology Department of Huashan Hospital affiliated to Fudan University, Shanghai, China |
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Keywords: Parkinson's Disease, Neurodegeneration, neuromelanin The bilateral neuromelanin degeneration pattern in substantia nigra in normal aging and underlying mechanisms of asymmetric motor symptoms in early Parkinson’s disease (PD) are still unknown. Here we examined the neuromelanin hemispheric asymmetry in normal elderly people and early PD patients with motor symptoms laterality by short-echo-time magnitude images derived from QSM. We demonstrated hemispheric asymmetry of neuromelanin in normal aging, as well as a left-hemispheric preferential nigral dysfunction in early-stage PDR, but a different spatial neuromelanin loss pattern in PDL. This template-based neuromelanin measurement might help to detect aging-related change and deepen our understanding of PD with motor laterality. |
| 3213 | Computer 161
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Advanced intraoperative image quality using multiple surface coils. |
| Pien E.J. Jellema1,2, Fredy Visser2, Niels Blanken3, Alberto de Luca2,4, Eelco W. Hoving1,5, Kirsten M. van Baarsen1,5, Maarten H. Lequin1,3, and Jannie Wijnen2 | ||
1Pediatric Neuro-Oncology, Princess Máxima Centre, Utrecht, Netherlands, 2Centre for Image Sciences, University Medical Centre Utrecht, Utrecht, Netherlands, 3Department of Radiology, University Medical Centre Utrecht, Utrecht, Netherlands, 4Department of Neurology, University Medical Centre Utrecht, Utrecht, Netherlands, 5Department of Neurosurgery, University Medical Centre Utrecht, Utrecht, Netherlands |
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Keywords: Tumors, Surgery Advanced intraoperative MRI (io-MRI) could provide additional guidance during pediatric neurosurgery. Currently, io-MRI sequences are acquired with two surface coils when using the DORO head-frame. We investigated if the addition of two surface coils and higher SENSE-factors would increase signal- and contrast-to-noise ratios (SNR & CNR), image quality, and decrease artefacts. The four coils set-up resulted in higher T1w SNR and CNR that was more homogeneously distributed. Image quality of T1w, T2w, and fiber-tracks did improve with four coils. Higher SENSE factors with four coils of most ASL and diffusion MRI images did not reduce EPI artefacts or improve image quality. |
| 3214 | Computer 162
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Dynamic characteristics of functional network activity in brains with left-frontal glioma |
| Siqi Cai1,2, Yuchao Liang3, Yinyan Wang3, Yufei Liu4, Fanfan Chen4, Chunxiang Jiang1,2, Lei Wang3, and Lijuan Zhang1,2 | ||
1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Science, Beijing, China, 3Beijing Tiantan Hospital of Capital Medical University, Beijing, China, 4Shenzhen Second People's Hospital, Shenzhen, China |
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Keywords: Tumors, fMRI (resting state) This study investigated the temporal features of the brain network activity with dynamic fractional amplitude of low-frequency fluctuation (dfALFF) and sliding window approach. The time-varying brain activity was clustered into two distinct states. Patients’ brains featured high occurrence of the weak state, low occurrence of the strong state, and network dALFF that decreased but spatially extended with the tumor malignancy. The dfALFF variance of networks was attenuated in HGGs but not LGGs. These malignancy-specific alterations indicate a diverse neuropathological profile of gliomas, and highlight the importance of temporal features of brain activity in the disease characterization of glioma. |
| 3215 | Computer 163
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Evaluation of postcontrast images of glioma using 7T and 3T magnetic resonance imaging: an intraindividual comparison study |
| Chenxi Li1, Kun Cheng1, Jianxun Qu2, Xiaoxiao Ma1, and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2MR Collaboration, Siemens Healthineers Ltd., Beijing, China |
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Keywords: Tumors, Brain With the advent of the 7T device meeting the need for ultra-high resolution, we planned to explore the advantages of 7T over 3T in terms of the internal detail display of gliomas. Seventeen patients with glioma were individually rated for internal tumor structure and feeding artery by 6 radiologists at 7T and 3T MR, and the DCS score was calculated. 7T revealed better details of internal tumor structure and higher diagnostic confidence than 3T. |
| 3216 | Computer 164
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Retrospective Comparison of Brain Imaging in Patients at 0.55T and 1.5/3T |
| Anna Lavrova1, John Kim1, Remy Lobo1, Maria Masotti2, Jacob Richardson1, Pedro Itriago-Leon3, Vikas Gulani1, Katherine Wright1, Ashok Srinivasan1, and Nicole Seiberlich1 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Biostatistics, University of Michigan, Ann Arbor, MI, United States, 3Siemens Medical Solutions USA Inc., Houston, TX, United States |
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Keywords: Tumors, Low-Field MRI This study aims to compare the image quality of clinical brain imaging on an FDA-approved commercial low-field 0.55T MRI scanner and conventional higher field 1.5/3T MRI systems. The image quality of 205 compatible image series in 30 patients acquired at 0.55T and 1.5T/3T MRI systems was rated by two neuroradiologists. Despite significant differences in image quality ratings between low- and higher-field scanners, all brain sequences performed at 0.55T received ratings indicating that they were acceptable for diagnostic use. This work indicates that the commercial 0.55T system can be used for routine brain imaging in clinical practice. |
| 3217 | Computer 165
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Impact of gadopiclenol on decision making in patients with brain metastases |
| Marco Essig1, Frank A Giordano2, and Gustavo Sarria3 | ||
1Radiology, University of Manitoba, Winnipeg, MB, Canada, 2Radiation Oncology, University of Mannheim, Mannheim, Germany, 3Radiation Oncology, University of Bonn, Bonn, Germany |
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Keywords: Tumors, Contrast Agent, Brain Tumor, Relativity New gadolinium-based contrast agents (GBCAs) with high relaxivity could have an impact on decision making and treatment planning of brain metastases (BM). In this post-hoc analysis , patients with BM who underwent two separate magnetic resonance imaging (MRI) examinations, one with gadopiclenol and one with gadobenate dimeglumine, both at 0.1 mmol/kg, were included. This study showed that gadopiclenol at the dose of 0.1 mmol/kg improved detection and characterization of BM, and led to a change in treatment decisions in 2 of 13 patients. |
| 3218 | Computer 166
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Detection of hormone-producing pituitary microadenoma by Contrast-Enhanced Submillimeter level 3D T1w SPACE: Comparison with 2D T1w Images |
| Cheng Cheng1, Shengzhang Ji2, Rui Zhao1, Chen Zhang3, and Guang hui Huo1 | ||
1Radiology Department, Mesclor Medical Imaging Diagnostic Center, Tianjin, China, 2Medical Imaging Department, Tianjin Fourth Central Hospital, Tianjin, China, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China |
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Keywords: Tumors, Tumor, pituitary, T1w SPACE By compared the images quality and diagnostic efficacy of enhanced 3D T1w SPACE and 2D T1w TSE, this study aims to investigate the value of Contrast-Enhanced submillimeter slice 3D T1w SPACE sequence in hormone-producing pituitary microadenoma. |
| 3219 | Computer 167
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Clinical application of direct signal control and other B1 shimming methods for infratentorial region T2 weighted imaging at 7T |
| Xiaoyu Wang1, Jianxun Qu2, Tomi-Tricot Raphael3, Shaihan J Malik4, Song Wang1, Xiangbing Bian1, and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2Siemens Healthineers Ltd, Beijing, China, 3Siemens Healthineers Ltd, United Kingdom, United Kingdom, 4King's College London, United Kingdom, United Kingdom |
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Keywords: Tumors, Data Acquisition, direct signal control This was a clinical application study of direct signal control (DSC) technology on 7T MRI. The result suggests that DSC-T2w provides good-quality for whole-brain imaging. When imaging region is restricted, we can also use static B1 shimming with a dedicated shimming region. This study demonstrated that DSC technology can improve the image quality in 7T brain scan. |
| 3220 | Computer 168
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Reliability Verification and Diagnostic Value Based on Brain Metastases of STAGE at 1.5T |
| Huijing Xiang1, Yi Li2, Yuqi Duan1, Xiaoyun Liang2, Feng Huang2, Peian Hu3, Dongbing Zhang1, Zhengrong Zhou1, and Lei Chen1 | ||
1Department of Radiology, Minhang Branch, Fudan University Shanghai Cancer Center, Shanghai, China, 2Neusoft Medical Systems Co.Ltd., Shanghai, China, 3Department of Radiology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China |
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Keywords: Tumors, Tumor, Brain metastases, Reliability, Quantitative maps As the first choice to identify brain metastases (BM), the anatomical, functional and metabolic information extracted by various MR sequences is the basis. However, synthetic MR technique mostly relies on expensive equipment and high field strength, which is challenging for primary institutions to implement. In this study, we assessment the reliability and diagnostic value based on BM of Strategically Acquired Gradient Echo (STAGE) at 1.5T. Enhanced T1W map of STAGE showed better GM/WM CNR compare with T1MPRAGE for BM identification. Reliable values and inconspicuous physiological variability were observed in the quantitative maps for various brain tissues. |
| 3221 | Computer 169
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Non-invasive Detection of IDH-mutant Gliomas using Single and Multi-voxel Point-resolved Spectroscopy |
| Laiz Laura de Godoy1, Gaurav Verma2, Donald M O’Rourke3, MacLean P Nasrallah4, Steven Brem3, Arati Desai5, Laurie A Loevner1, Suyash Mohan1, and Sanjeev Chawla1 | ||
1Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 4Clinical Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 5Medicine, University of pennsylvania, Philadelphia, PA, United States |
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Keywords: Tumors, Spectroscopy, IDH mutant; gliomas; 2-hydroxyglutarate; SVS; 1H-MRSI IDH mutation has become one of the most important prognostic biomarkers in glioma management, regardless of histopathological features. The oncometabolite 2HG has been proposed as a biomarker for IDH-specific genetic profiles for gliomas. We report clinical utility of SVS and 1H-MRSI using a long TE (97 ms) in assessing IDH-mutant gliomas by detecting the characteristic resonances of 2HG. Our results from 25 patients showed sensitivity and specificity of 77% and 83%, respectively. In conclusion, 1H-MRS with optimized TE can accurately detect 2HG levels, which has significant clinical implications for determining prognosis and evaluating therapeutic efficacy for targeted and/or alternative therapies. |
| 3222 | Computer 170
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Spatial habitats features derived from multiparametric MR imaging predict long versus short-term survival in gliomas: Preliminary findings |
| Hui Ma1, Zuliwei Ma1, Shanmei Zeng1, Mengzhu Wang2, Yang Song2, Chengxiu Zhang3, Zhiyun Yang1, and Jing Zhao1 | ||
1Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Guangzhou, China, 3Shanghai Key Laboratory of Magneitc Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Brain, high-grade gliomas, tumor habitats, habitat imaging We developed spatial habitats based on multiparametric MRI and evaluated associations between features in these habitats and survival time in patients with high-grade gliomas. The voxels in MR images were grouped into 2 clusters using the K-means clustering algorithm of in-house software nnFAE (V.0.0.10). Structural MRI habitats were defined on CE-T1WI and T2-Flair images, and physiologic MRI habitats were defined on MK derived from DKI and Ktrans derived from DCE imaging. Results showed physiologic habitats weighed more than structural ones, and suggested low vascular-permeability-and-tissue-complexity habitats may play an important role in distinguishing long- and short-term survival of high-grade gliomas patients. |
| 3223 | Computer 171
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Magnetic Resonance Spectroscopic Correlates of Survival in IDH-wt, TERTp-mut Gliomas |
| Banu Sacli-Bilmez1, Ayça Erşen Danyeli2,3, Cengiz Yakicier4, M.Necmettin Pamir3,5, Koray Özduman3,5, Alp Dinçer3,6, and Esin Ozturk-Isik1,3 | ||
1Institute of Biomedical Engineering, Boğaziçi University, İstanbul, Turkey, 2Department of Medical Pathology, Acıbadem University, İstanbul, Turkey, 3Brain Tumor Research Group, Acıbadem University, İstanbul, Turkey, 4Department of Molecular Biology and Genetics, Acıbadem University, İstanbul, Turkey, 5Department of Neurosurgery, Acıbadem University, İstanbul, Turkey, 6Department of Radiology, Acıbadem University, İstanbul, Turkey |
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Keywords: Tumors, Brain The 2021 central nervous system tumor classification has suggested that isocitrate dehydrogenase wildtype (IDH-wt) WHO grade-2/3 astrocytomas with molecular features of glioblastoma should be designated as “Glioblastoma, IDH-wildtype, WHO grade-4”. In this study, we explored metabolic correlates of patient survival in tumors fulfilling the criteria for “Glioblastoma, IDH-wildtype, WHO grade-4” using short echo time (TE) single voxel 1H-MRS. The results of this study suggest that higher ratios of glutamine and glutamate complex (Glx) to total creatine (tCr) and glutathione (GSH) to tCr were associated with a shorter survival. |
| 3224 | Computer 172
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Effects of radiotherapy on tissue in patients with brain metastases in terms of OEF and CMRO2 |
| Jordi de Leeuw1, Junghun Cho2, Eva van Grinsven3, Jeroen Siero4, Marielle Philippens4, and Alex Bhogal4 | ||
1Imaging Division, UMC Utrecht, Utrecht, Netherlands, 2SUNY Buffalo, Buffalo, NY, United States, 3Brain Department, Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 4Radiology Department, UMC Utrecht, Utrecht, Netherlands |
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Keywords: Tumors, Metabolism Radiotherapy might have an influence on the ratio of deoxygenated versus oxygenated blood in the venous blood vessels (OEF) in the brain. The relationship between delivered dose and the OEF may be a more direct measure of tissue damage or recovery. Preliminary results suggest that there is a marginal significant increase in OEF values after radiotherapy. This indicates that OEF can be of valuable use in determining the effects of radiotherapy. Additionally, CMRO2 maps show an identical increase or decrease in cerebral metabolic activity. Keywords: Oxygen extraction fraction Cerebral metabolic rate of oxygen extraction Radiotherapy Brain tumor |
| 3225 | Computer 173
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A preliminary study of radiological characteristics of diffuse hemispheric gliomas, H3 G34-mutant |
| Yang Yu1, Yan Ren1, Qi Yue2, and Zhenwei Yao1 | ||
1Radiology, Fudan University, Huashan Hospital, Shanghai, China, 2Neurosurgery, Fudan University, Huashan Hospital, Shanghai, China |
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Keywords: Tumors, Tumor, H3 G34-mutant, glioma Diffuse hemispheric glioma, H3 G34-mutant (H3G34-DHG) is a rare newly proposed entity in 2021 WHO classification of central nervous system tumors. We retrospectively analysis characteristics of 10 cases of H3G34-DHG and found some certain characteristics in clinical and radiological manifestations in this entity. In most cases, absent or focally faint contrast enhancement initially suggested another diagnosis than a high-grade glioma. However, increased tumor vessels still suggested abundant tumor blood supply. Moreover, hyperintensity on CT and restricted diffusion reflected high density of tumor cells. MRS also showed extremely high metabolism active in the tumor. |
| 3226 | Computer 174
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Brain MRI phenotypes of glioblastomas are suggestive of overall patient survival |
| Bárbara Schmitz-Abecassis1,2, Linda Dirven3,4, Janey Jiang 5, Jasmin A. Keller1, Robert J.J. Croese3,4, Daniëlle van Dorth1, Ilse M. J. Kant 6,7, Martin J.B. Taphoorn3,4, Matthias J.P. van Osch1,2, Johan A.F. Koekkoek3,4, and Jeroen de Bresser1 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Medical Delta Cancer Diagnostics 3.0, South-Holland, Netherlands, 3Department of Neurology, Leiden University Medical Center, Leiden, Netherlands, 4Department of Neurology, Haaglanden Medical Center, The Hague, Netherlands, 5Department of Radiology, HagaZiekenhuis, The Hague, Netherlands, 6Clinical Artificial Intelligence Implementation and Research Lab (CAIRELab) and Department of Information Technology & Digital Innovation, Leiden University Medical Center, Leiden, Netherlands, 7Department of Digital Health, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Tumors, Tumor, Perfusion Despite multimodal anti-tumor treatment, glioblastomas typically progress, yet identifying true tumor progression on MRI-scans is challenging. We aimed to establish brain MRI phenotypes of glioblastomas by combined analysis of radiological scoring of structural and perfusion tumor characteristics 3-months post-radiotherapy. Hierarchical clustering analysis method was applied to group patients by similar tumor characteristics and it was analyzed whether these groups showed differences in tumor progression and overall survival outcome. Four distinct MRI phenotypes of glioblastoma were established and showed between-group differences in median overall survival time. |
| 3227 | Computer 175
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Identification of a single-dose, low-flip angle based CBV threshold for fractional tumor burden (FTB) mapping in recurrent glioblastoma |
| Aliya Anil1, Ashley M Stokes1, Lea Alhilali2, John P Karis2, Laura C Bell3, Leland S Hu4, Jerrold L Boxerman5, Kathleen M Schmainda6, and C Chad Quarles7 | ||
1Division of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States, 2Neuroradiology, Southwest Neuroimaging at Barrow Neurological Institute, Phoenix, AZ, United States, 3Early Clinical Development, Genentech, San Francisco, CA, United States, 4Department of Radiology, Division of Neuroradiology, Mayo Clinic Arizona, Phoenix, AZ, United States, 5Department of Neuroradiology, Rhode Island Hospital, Providence, RI, United States, 6Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 7The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Keywords: Tumors, DSC & DCE Perfusion Early differentiation of tumor recurrence from post treatment radiation effects (PTRE) in glioblastoma patients would improve patient management. The purpose of this study is to identify the optimal standardized relative cerebral blood volume (sRCBV) threshold for generating fractional tumor burden (FTB) maps derived from the new consensus protocol, single-dose, low-flip angle data. To establish the threshold, low-flip angle data was compared to well-validated, double-dose, moderate-flip angle data. In summary, with the optimized threshold, the single-dose, low-flip angle approach yielded FTB maps that strongly agreed with the reference standard, providing a compelling option for clinical use. |
| 3228 | Computer 176
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Differentiation of atypical high-grade glioma from primary central nervous system lymphoma with mean apparent propagator-MRI |
| Eryuan Gao1, Guohua Zhao1, Huiting Zhang2, Xiaoyue Ma1, Peipei Wang1, Jie Bai1, Xu Yan2, Guang Yang3, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Diffusion/other diffusion imaging techniques, mean apparent propagator Atypical high-grade glioma (HGG) (with no or little necrosis) and primary central nervous system lymphoma (PCNSL) are difficult to distinguish in routine MR images but their treatment strategies are totally different. Therefore, it’s important to distinguish between them before treatment. This study aimed to investigate the diagnostic efficiency of quantitative analysis based on mean apparent propagator-MRI in discriminating atypical HGG from PCNSL. Through quantitative analysis of MAP parameters, we found that MAP-MRI performed well in differentiating between atypical HGG and PCNSL. |
| 3229 | Computer 177
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Segmentation of Contrast Enhancing Gliomas and Whole Brain Multi-Parametric Mapping in a 6-minute Scan without Injecting Contrast |
| Jing Liu1, Angela Jakary1, Duan Xu1, Javier Villanueva-Meyer1, Nicholas Butowski1, Jennifer Clarke1, Jennifer Taylor1, Nancy Ann Oberheim Bush1, and Janine Lupo1 | ||
1University of California San Francisco, San Francisco, CA, United States |
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Keywords: Tumors, Cancer Multiple brain MRI sequences are routinely applied for tissue characterization and lesion detection, by acquiring multi-contrast anatomical images. We developed a single continuous data acquisition to generate multi-contrast images with high acquisition efficiency, which allows automatic brain tissue segmentation and lesion detection without contrast injection. Multi-compartment model-based dictionary searching method was developed to derive multi-parametric mapping, including T1, T2 and macromolecular proton fraction mapping. This short imaging acquisition (6 mins versus conventional ~30 mins scan time) without use of contrast injection and the efficient processing pipeline (automatic segmentation and quantitative mapping) can provide great potentials for imaging brain tumor patients. |
| 3230 | Computer 178
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Comparison Between Postcontrast T1-Weighted Thin-slice 2D Spin Echo and 3D SPACE Sequences in Detection of Brain Metastases at 1.5T and 3T |
| Aaron Rulseh1, Zuzana Ryznarova1, and Josef Vymazal1 | ||
1Dept. of Radiology, Na Homolce Hospital, Prague, Czech Republic |
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Keywords: Tumors, Tumor, Metastasis We compared standard T1-weighted thin-slice SE and T1-weighted SPACE sequences in the detection of metastatic brain lesions at 1.5 and 3 Tesla in 56 patients. Three raters evaluated the presence of lesions in 2 sessions minimally 6 weeks apart. Our results show that T1-weighted SPACE is not inferior to standard thin-slice SE sequences in the detection of brain metastases. All three experienced raters reached excellent consistency between SE and SPACE and agreement with ground truth. |
| 3231 | Computer 179
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The Effect of RF Pulse Duration Settings in Basis Sets on Sensitivity and Specificity of 2HG Spectroscopy |
| Sanghoon Kim1, Changho Choi2, Natasha Najam1, and Alexander Lin1 | ||
1BWH, Boston, MA, United States, 2Vaderbilt University Institute of Imaging Science, Nashville, TN, United States |
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Keywords: Tumors, Spectroscopy, 2HG detection 2HG is the specific biomarker for the IDH mutation in tumors. In this study, we utilized two different 2HG basis sets, one using a 4.8ms refocusing pulse duration and another with 5.8ms. Using the two different basis sets, we analyzed the same data and found large differences in the sensitivity and specificity results. |
| 3232 | Computer 180
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Discussion the WHO grading of brain invasion otherwise benign meningiomas (BIOB) from the MR images perspective of 675 meningiomas |
| LUO XIAO1, JIANG HONG2, LIU XIAJING1, LIN FAN1, DENG KAN3, JIANG JUN1, ZHANG ZHU2, WANG YULI1, and YU JUAN1 | ||
1Medical Imaging Department, Shenzhen The Second People's Hospital, Shenzhen, China, 2Zhuhai People’s Hospital (Zhuhai hospital affiliated with Jinan University), Zhuhai, China, 3Philips Healthcare, Guangzhou, China |
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Keywords: Tumors, PET/MR, WHO grade Should the BIOB meningiomas be classified as WHO grade 1 or WHO grade 2 atypical meningiomas, the core issue that scholars have questioned about the guidelines from an imaging perspective.In this study, we used BIOB as the entry point to comprehensively compare and analyze the MRI imaging characteristics of BIOB between WHO grade 1 and 2 meningiomas. Comparative analysis of multiple groups of MRI characteristics showed that BIOB and WHO grade 2 meningiomas were more similar in clinical and imaging features than grade 1 meningiomas. Therefore, it is reasonable to classify BIOB as WHO grade 2 meningiomas in the guidelines. |
| 3291 | Computer 61
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Feasibility of Mapping Intracellular NAD Content in Entire Human Brain at 7T |
| Xiao-Hong Zhu1, Rong Guo2,3, Hannes M Wiesner1, Yudu Li3,4, Yibo Zhao3,5, Wen Jin3,5, Zhi-Pei Liang3,5, and Wei Chen1 | ||
1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Siemens Medical Solutions USA, Inc., Urbana, IL, United States, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States |
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Keywords: Quantitative Imaging, Metabolism, Human Brain NAD Imaging Nicotinamide adenine dinucleotide (NAD) is an important molecule critical for cellular metabolism and signaling. The cerebral NAD concentration is only at submillimolar level, and thus, difficult to measure and imaging in vivo. In this study, we utilize 3D 31P MRSI-based NAD assay in combination with a SPICE-based signal processing method to evaluate the feasibility for non-invasively mapping the NAD contents in healthy human brains at 7T. The results suggest that by taking advantage of ultrahigh field scanner and advanced post-processing, it is possible to obtain whole-brain NAD maps with NAD measurements consistent with the literature reported values. |
| 3292 | Computer 62
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Spectrum of Brain Injury in COVID-19 Acute Respiratory Distress Syndrome: A Systematic Review of Neuroimaging Findings |
| Rachel Wagner1,2, Michael T Jurkiewicz2,3, Jennifer Chen4,5, Angela Jerath6,7, Marat Slessarev2,5,8, and Udunna Anazodo2,9 | ||
1Neuroscience, Western University, London, ON, Canada, 2Lawson Health Research Institute, London, ON, Canada, 3Medical Imaging, London Health Sciences Centre, London, ON, Canada, 4Critical Care Medicine, Western University, London, ON, Canada, 5Western Institute for Neuroscience, Western University, London, ON, Canada, 6Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 7Evaluative Clinical Sciences, Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada, 8Critical Care Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada, 9Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada |
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Keywords: Infectious disease, COVID-19, Neuroscience While most COVID-19 patients present with mild symptoms, many of those hospitalized with severe infection develop acute respiratory distress syndrome (ARDS)1 and frequently report central nervous system dysfunction2. While previous research has characterized clinical symptomatology, investigation regarding brain changes remains limited. To address this gap, this review summarized brain injuries from 372 COVID-19-ARDS and 370 ARDS patients and pooled findings. COVID-19-ARDS patients presented an unusual pattern of injury preferentially targeting white matter, suggesting impact to brain connectivity. The long-term consequences of white matter injury in COVID-19-ARDS should be taken into account in devising policies for managing patient health. |
| 3293 | Computer 63
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Feasibility of routine brain imaging at 0.55T: initial experience in a clinical workflow |
| Anna Lavrova1, Jacob Richardson1, Ryo Kurokawa1, Mariko Kurokawa1, Pedro Itriago-Leon2, Vikas Gulani1, Hero Hussain1, Katherine Wright1, Toshio Moritani1, and Nicole Seiberlich1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 2Siemens Medical Solutions USA Inc., Houston, TX, United States |
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Keywords: Low-Field MRI, Brain The purpose of this study is to assess the quality of brain imaging studies performed on an FDA-approved commercial 0.55T MRI system, and to provide information about the feasibility of using this scanner in a clinical workflow. The image quality of 1356 image series (378 in healthy subjects, 978 in patients) was independently rated by two neuroradiologists. While images from T1w SPACE, DWI/ADC, FLAIR, SWI, and T2w TSE sequences received acceptable image quality scores, contrast-enhanced T1w TSE sequence received lower, although acceptable, average scores. Our results suggest that neurological MRI studies for some indications can be performed at 0.55T. |
| 3294 | Computer 64
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Feasibility and Improved Specificity of Brain Lipid Imaging at 7 Tesla using Transient Nuclear Overhauser Effect (tNOE) |
| Dushyant Kumar1, Blake Benyard1, Narayan Datt Soni1, Anshuman Swain1, Neil Wilson1, and Ravinder Reddy1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Data Acquisition, Brain, Lipid imaging Brain lipid imaging using steady-state nuclear Overhauser effect (ssNOE), though a traditionally popular approach, suffers from multiple confounding non-NOE specific sources, including direct saturation, magnetization transfer (MT), and relevant chemical exchange species. B0, B1+- dependent data are also needed to correct for the effect of (B0, B1+)- inhomogeneities¸ leading to other issues such as patient tolerability due to substantially increased scan time. Here, we demonstrate the feasibility of brain lipid mapping using an easily implementable transient NOE (tNOE) approach for the first time. Advantages include improved specificity, faster scan time and robust quantification with minimal confounding contributions. |
| 3295 | Computer 65
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Whole-Brain Sub-Millimeter Resolution fMRI using 3D EPI Accelerated with Temporal Random Walk |
| Suhyung Park1, Alexander Beckett2,3, Suvi Hakkinen3, Samantha Ma4, and David Feinberg2,3 | ||
1Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 2Advanced MRI Technologies, Sebastopol, CA, United States, 3University of California, Berkeley, Berkeley, CA, United States, 4Siemens Medical Solutions USA, Inc, Berkeley, CA, United States |
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Keywords: Data Acquisition, Brain There are significant benefits to segmented 3D EPI fMRI acquisitions, which acquires high spatial and temporal resolution across the whole brain to better understand brain neuronal activity. This can be achieved through accelerated 3D EPI imaging, which provides rapid whole-brain coverage at the cost of SNR efficiency resulting from frame-by-frame reconstruction. Here, we utilize temporal information for whole-brain coverage on 8-fold accelerated 7T fMRI acquisition without altering the subsequent fMRI results. |
| 3296 | Computer 66
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Feasibility of whole-brain functional MRI with 1-mm isotropic resolution at 3T |
| Wei-Tang Chang1,2,3, Stephanie Langella4, Min Sung Seo5, Weili Lin2, and Kelly Giovanello5 | ||
1Biomedical Engineering, UNC at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center, UNC at Chapel Hill, Chapel Hill, NC, United States, 3Radiology, UNC at Chapel Hill, Chapel Hill, NC, United States, 4Psychiatry, Harvard Medical School, Boston, MA, United States, 5Psychology & Neuroscience, UNC at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Data Acquisition, Neuro fMRI with ultrahigh resolution has typically been acquired at 7T in order to overcome the inherently low SNR at 3T. However, 7T scanners are inaccessible to the majority of investigators. In this study, we developed new acquisition and reconstruction approaches and employed the denoising method NORDIC to improve the resolution of 3T fMRI to 1 mm isotropic with whole-brain coverage and volumetric scan time of 2 seconds. Our results showed improved tSNR and low spatial blurring. The detection capability of resting-state networks was comparable to that of 7T. BOLD activations in cortical and subcortical regions were observed in task-based fMRI. |
| 3297 | Computer 67
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Ultrafast submillimeter model-based NN quantification of whole-brain T1 and T2 using phase-cycled bSSFP |
| Florian Birk1,2, Klaus Scheffler1,2, and Rahel Heule1,2,3 | ||
1Department of High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 3Center for MR Research, University Children's Hospital, Zurich, Switzerland |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence, Model-Based Learning The bSSFP sequence is intrinsically sensitive to T1 and T2, motion robust, and allows highly efficient data acquisition. Slow convergence in qMRI parameter fitting can potentially be mitigated by machine learning, which benefits greatly from the availability of accurate ground truth data. This work presents an unsupervised model-based NN that incorporates the analytical bSSFP signal equation into the training loop, thus avoiding the need for ground truth relaxometry measurements and enabling instantaneous multi-parametric submillimeter whole-brain mapping of T1 and T2. NN performance was compared to MIRACLE quantitatively for in silico noise corrupted data and qualitatively for in vivo data. |
| 3298 | Computer 68
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Increasing sampling efficiency using Yarnball sampling in 3D fast spin echo with long echo trains – TurboYarn |
| Jeff Snyder1, Alan H. Wilman1, and Rob Stobbe1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada |
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Keywords: Pulse Sequence Design, Brain An efficient k-space sampling strategy using 3D Yarnball was used in long echo train FSE (TurboYarn). As TurboYarn samples many lines worth of k-space in each readout, fully sampled isotropic 1 mm brain scans were acquired in 40 s. TurboYarn was compared to a time-equivalent, 4x under-sampled 3D FSE sequence in brain of three healthy subjects. Resulting images showed excellent GM/WM contrast for TurboYarn, with CNRs higher than 3D FSE. As each readout samples k-space centre, further work will investigate TurboYarn motion robustness, with additional SNR improvements via trajectory and flip angle train optimizations. |
| 3299 | Computer 69
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Optimization of T1-Weighted DANTE-SPACE for Intracranial Vessel Wall Imaging at 7T |
| Xiangchuang Kong1, Jun Ma2, Erin Westerhold1, Eric H. Middlebrooks1, Shengzhen Tao1, Chen Lin1, and Xiangzhi Zhou1 | ||
1Department of Radiology, Mayo Clinic, Jacksonville, FL, United States, 2Siemens Medical Solutions USA, Inc., Jacksonville, FL, United States |
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Keywords: Blood vessels, High-Field MRI, DANTE, SPACE, 7T MR vessel-wall-imaging (VWI) is used clinically for noninvasive characterization of vessel wall pathology. The DANTE preparation module has been combined with conventional 3D-T1W-SPACE to achieve better slow-flow-suppression. 7T could further improve VWI by its increased SNR and spatial-resolution. Here we sought to optimize DANTE preparation module for T1W-SPACE at 7T. Simulations were done to determine the optimal parameters for the DANTE module. Human scans showed that the optimized T1W- DANTE-SPACE at 7T efficiently suppressed slow-blood-flow in both intracranial arteries and veins, and in turn improved wall contrast compared with conventional T1W-SPACE. |
| 3300 | Computer 70
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High Resolution Intracranial MR Angiography at 3T and 7T using a Deep Learning based Image Reconstruction |
| Naoyuki Takei1, Baolian Yang2, Brian Burns3, Yoichiro Ikushima1, R Marc Lebel4, Vince Magnotta5, Fumiyasu Tsushima6, Shingo Kakeda6, Atsushi Nozaki1, and Tetsuya Wakayama1 | ||
1GE Healthcare, Tokyo, Japan, 2GE Healthcare, Waukesha, WI, United States, 3GE Healthcare, Menlo Park, CA, United States, 4GE Healthcare, Calagary, AB, Canada, 5University of Iowa, Iowa City, IA, United States, 6Hirosaki University Graduate School of Medicine, Aomori, Japan |
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Keywords: Blood vessels, Machine Learning/Artificial Intelligence, 7T MRI Ultra-high-field MRA shows the promise to improve visualize the microvasculature and become an important investigation tool for research. However, increasing the consistency in image quality and reliability of small vessel visualization is necessary to demonstrate useful MR applications in clinical practice. We developed a deep learning-based reconstruction method to provide reduced noise and enhanced spatial resolution. The technique was evaluated by applying it to 3DTOF MRA data at 3T and 7T, demonstrating improved small vessel depiction. |
| 3301 | Computer 71
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Fast 3D-P31-MRSI Using Custom Rosette Petal Trajectory at 3T with 4x Accelerated Compressed Sensing |
| Nicholas Farley1, Brian Bozymski1, Ulrike Dydak1, and Uzay Emir1 | ||
1Radiological Health Science, Purdue University, West Lafayette, IN, United States |
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Keywords: Gray Matter, Brain To develop a reasonably fast P-31 3D MRSI sequence utilizing Rosette-Petal trajectories in K-space and compressed sensing reconstruction to acquire 1 mL voxel resolution maps in under 10 minutes with a magnetic field strength of only 3 Tesla |
| 3302 | Computer 72
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Laminar effective connectivity of the default mode network assessed using 7T fMRI |
| Nguyen Phuoc Huynh1 and Gopikrishna Deshpande1 | ||
1Electrical and Computer Engineering, Auburn University, Auburn, AL, United States |
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Keywords: Data Analysis, High-Field MRI, Effective connectivity High-resolution fMRI presents opportunities in the study of fine-scale functional architecture, such as directional interactions between cortical layers. The Default Mode Network (DMN) is a major network in the brain associated with many social behaviors, however, little is known about the feed-forward and feedback information flow between different layers in regions of the DMN. We used high-resolution fMRI combined with effective connectivity to investigate the layer-to-layer interactions of regions in the DMN including medial prefrontal cortex, posterior cingulate cortex, and inferior parietal cortex. The results suggest that the middle layers of PCC are dominant in information flow within the DMN. |
| 3303 | Computer 73
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Disruptions in regional homogeneity and functional connectivity relate to subacute ischemic stroke |
| Xin Li1, Yue Qin1, Yanqiang Qiao1, Yifan Qian1, Xiaoshi Li1, and Lei Wang1 | ||
1Xi'an Daxing Hospital, Xi'an, China |
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Keywords: Stroke, fMRI (resting state) The primary aim of the research was to compare the impact of subacute ischemic stroke on brain activity using resting state functional magnetic resonance imaging. In this study, we applied ReHo and FC to investigate the characteristics of brain functional activity in subacute ischemic stroke patients. Our results showed that the subacute ischemic stroke patients showed increased ReHo values in the left postcentral gyrus and significantly decreased FC between the Cerebellum-SUIT_7 and the right caudate, which is beneficial to understand the neurophysiological mechanisms of subacute ischemic stroke. |
| 3304 | Computer 74
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Clinical deployment of novel quantitative neuro-image analysis techniques using containerisation technology |
| James Moggridge1,2, Sjoerd Vos1,3,4, Ferran Prados3, Matthew Grech-Sollars1,3, Daniel Matthews5, Peter Schmidt5, Daniel C Alexander3, John S Duncan6, Frederik Barkhof1,3,7, Tarek A Yousry1,2, and John S Thornton1,2 | ||
1Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 2Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Centre for Microscopy, Characterisation, and Analysis, University of Western Australia, Perth, Australia, 5Advanced Research Computing Centre, University College London, London, United Kingdom, 6Department of Clinical and Experimental Epilepsy, UCL QS Institute of Neurology, London, United Kingdom, 7Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands |
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Keywords: Data Analysis, Software Tools, Containerisation The challenges encountered in development and clinical deployment of quantitative neuroradiological software techniques for in-house use can be overcome to some degree, through the application of a multi-disciplinary approach, and the use of containerisation. However, full life-cycle support including post-market surveillance presents a more significant obstacle. |
| 3305 | Computer 75
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Feasibility of Performing High-Resolution Multi-delay PCASL Imaging with Intravascular Signal Suppression Within 7 Minutes |
| Xiaoping Wu1, Kamil Ugurbil1, Gregory J. Metzger1, and Xiufeng Li1 | ||
1University of Minnesota, Minneapolis, MN, United States |
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Keywords: Data Processing, Brain, ASL, cerebral perfusion or blood flow To ensure satisfactory perfusion signal-to-noise ratio (SNR) for ASL imaging, intravascular perfusion signals are typically not suppressed (e.g., high-resolution multi-delay SMS/MB-EPI PCASL imaging for Human Connectome Projects) but can induce significant bias for CBF quantification if not addressed sufficiently. Recently proposed image denoising methods may be able to improve ASL imaging quality and SNR, having the potential to making it practical to perform ASL imaging with intravascular signal suppression. Our preliminary study results suggested that with image denoising, high-resolution multi-delay SMS/MB-EPI PCASL imaging with intravascular suppression could be achieved within 7 minutes. |
| 3306 | Computer 76
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Mapping sodium relaxation parameters in brain using magnetic resonance fingerprinting at 7T |
| Lauren F O'Donnell1, Gonzalo Rodriguez1, Gregory Lemberskiy1, Zidan Yu1,2,3, Olga Dergachyova1, Martijn A Cloos4,5, and Guillaume Madelin1 | ||
1Department of Radiology, Center for Biomedical Imaging, New York University Grossman School of Medicine, New York, NY, United States, 2Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States, 3Vilcek Institute for Graduate Biomedical Sciences, NYU Langone Health, New York, NY, United States, 4Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia, 5ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, QLD, Australia |
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Keywords: MR Fingerprinting/Synthetic MR, Brain, Sodium, x - nuclei, relaxometry, 7 Tesla We present a new MRF technique for simultaneous mapping of sodium T1, biexponential T2*, ion density, B+1 shift and B0 in the brain at 7T. This is accomplished using a 23 pulse MRF train combined with a UTE FLORET trajectory readout. Our technique is demonstrated in a 3 compartment phantom and in vivo across four healthy volunteers. Matching to a dictionary with over 800,000 signals produced parameter maps with good agreement to literature values. Flow and partial volume effects may interfere with matching T*2,short in CSF. |
| 3307 | Computer 77
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High-Resolution Myelin Water Imaging Using MPnRAGE |
| Jayse Merle Weaver1,2, Steven Kecskemeti2, Jose M Guerrero-Gonzalez1,2, Andrew L Alexander1,2,3, and Douglas C Dean III1,2,4 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin-Madison, Madison, WI, United States, 3Psychiatry, University of Wisconsin-Madison, Madison, WI, United States, 4Pediatrics, University of Wisconsin-Madison, Madison, WI, United States |
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Keywords: Quantitative Imaging, Brain, Myelin A T1-only method to extract a quantitative myelin water fraction, utilizing a 3D radial k-space MPnRAGE sequence that reconstructs hundreds of different inversion time (TI) images in the same scan used for high-resolution T1-weighted morphometry was developed. To address high sensitivities to additive image noise of this complex model, a multi-pass fitting algorithm was prototyped that provides educated initial guesses and constraints on the underlying parameters. |
| 3308 | Computer 78
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Modality-adaptive Network Learning for Brain Tumor Segmentation with Incomplete Multi-modal MRI Data |
| Haoran Li1, Cheng Li1, Weijian Huang1, Yeqi Wang1,2, Yu Zhang1, Xue Liu1, Hairong Zheng1, and Shanshan Wang1,3,4 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China, 3Peng Cheng Laboratory, Shenzhen, China, 4Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China |
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Keywords: Segmentation, Brain Automated brain tumor segmentation with multi-modal magnetic resonance imaging (MRI) data is crucial for brain cancer diagnosis. Nevertheless, in clinical applications, it is difficult to guarantee that complete multi-modal MRI data are available due to different imaging protocols and inevitable data corruption. A large test time performance drop could happen. Here, we design a modality-adaptive network learning method to extract common representations from different modalities and make our trained model applicable to different data-missing scenarios. Experiments on an open-source dataset demonstrate that our method can reduce the dependence of deep learning-based segmentation methods on the integrity of input data. |
| 3309 | Computer 79
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Uncertainty-based Quality Control for Subcortical Structures Segmentation in T1-weighted Brain MRI |
| Benjamin Lambert1,2, Florence Forbes3, Senan Doyle2, Alan Tucholka2, and Michel Dojat1 | ||
1Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, Grenoble, France, 2Pixyl, Research and Development Laboratory, Grenoble, France, 3Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France |
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Keywords: Machine Learning/Artificial Intelligence, Artifacts The performance of Deep Learning (DL) models may drastically drop in the presence of characteristics in test images not present in the training set. Then, the automatic detection of these Out-Of-Distribution (OOD) inputs is important to deploy these methods especially for clinical applications. We address this issue in the context of DL-based subcortical structures segmentation on T1w brain MRI. We compare two OOD detection frameworks equipping DL segmentation models, Maximum Softmax Probability and Deterministic Uncertainty Method, and demonstrate the superiority of the latter which allows a robust and versatile identification of artifacts in images. |
| 3310 | Computer 80
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Super resolution permits fast, low resolution bSSFP imaging of the temporal bone…but do radiologists agree on image quality? |
| Sarah Reeve1,2, Alessandro Guida2,3, Chris Bowen1,2,3, James Rioux1,2,3, David Volders3,4, Jens Heidenreich3,4, and Steven Beyea1,3,5,6 | ||
1Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 2Biomedical Translational Imaging Centre, QEII Health Sciences Centre, Halifax, NS, Canada, 3Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 4Diagnostic Imaging, QEII Health Sciences Centre, Halifax, NS, Canada, 5Biomedical Translational Imaging Centre, IWK Health Centre, Halifax, NS, Canada, 6School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada |
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Keywords: Machine Learning/Artificial Intelligence, Head & Neck/ENT, Super Resolution Low resolution (LR) balanced steady-state free precession (bSSFP) acquisitions confer decreased acquisition times, reduced patient motion and heating, and increased artifact tolerance due to a decrease in TR. The application of a pre-trained super resolution network to LR bSSFP images of the temporal bone allows for these advantages to be realized, without significantly degrading image quality. In the absence of a matched high resolution image, quality was judged by two radiologists. However, radiologist’s ratings were not in agreement, highlighting the fact that there is no single definition of task-specific image quality, which must be considered when super resolution is performed. |
| 3311 | Computer 81
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Network analysis reveals differences in the topology of structural brain networks of young asymptomatic APOE-epsilon4 carriers |
| Eirini Messaritaki1, Thomas M Lancaster1,2, Katherine E Tansey3, and Derek K Jones1 | ||
1Psychology, Cardiff University, Cardiff, United Kingdom, 2Psychology, University of Bath, Bath, United Kingdom, 3Cardiff University, Cardiff, United Kingdom |
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Keywords: Alzheimer's Disease, Alzheimer's Disease This work explores the link between the topological properties of brain structural networks and APOE-epsilon4 in young asymptomatic adults. We investigated the sensorimotor, visual and default-mode networks. We found evidence that there are differences in the mean clustering coefficient of the sensorimotor network of carriers versus non-carriers, with the left caudal middle frontal, left precentral, right postcentral and right precentral gyri driving the differences. Interestingly, the mean clustering coefficient was higher in carriers compared to non-carriers. In contrast, no differences were found for the visual or the default-mode networks. |
| 3312 | Computer 82
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Mapping Connectivity of the Nucleus Basalis of Meynert in Alzheimers using fMRI and probabilistic tractography |
| Sergio Adrian Becerra1, Kaya Jordan1, Jon Haroon1, Kennedy Mahdavi1, Sheldon Jordan1,2, Rama Surya1, and Elisabeth Rindner1 | ||
1Synaptec Network, Santa Monica, CA, United States, 2Neurology, UCLA, Los Angeles, CA, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease The nucleus basalis (NBM) is the major source of cholinergic innervation to the cerebral cortex, hippocampus and other subcortical structures. Focusing DTI and fMRI on the NBM can shed light on the potential state of subjects with Alzheimer’s disease. We aim to use DTI to provide insight into the white matter projections from the NBM and use fMRI to depict how it is functionally wired. We found that imaging of the NBM differentiated dementia patients from controls, and captured the level of cognitive decline. While the results are preliminary, this analysis introduces a method of observing the progression of AD. |
| 3313 | Computer 83
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Pupil-fMRI correlation mapping of awake transgenic 5xFAD mice of Alzheimer’s Disease |
| Xiaochen Liu1, David Hike1, Wenchao Yang1, Zeping Xie1,2, Bei Zhang1, Andy Liu1,3, Sang Cheon Choi1, Biyue Zhu1, Chongzhao Ran1, Yuanyuan Jiang1, and Xin Yu1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2School of Traditional Medicine, Southern Medical University, Guangzhou, China, 3Department of Neuroscience, Boston University, Boston, MA, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, pupil dynamics This study obtained visually stimulated high-resolution fMRI and real-time pupil dynamic signals in awake normal and AD mice. By analyzing the trial-specific pupillary responses to light (PRL), we identified unique temporal dynamic features in AD mice. By performing the pupil-fMRI event-related analysis, we detected specific subcortical functional nuclei in AD mice, showing strong correlations to the pupil dilation recovery features and the variability across different stimulation events. These results present novel function-behavioral linkage based on the pupillary responses to visual stimulation in AD mice, revealing an intriguing non-invasive and quantitative biomarker of the neurodegenerative progress of AD brains. |
| 3314 | Computer 84
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Identification of Brain Networks Associated with Alzheimer’s Disease Risk |
| Alexandra Badea1, Ali Mahzarnia2, Jacques S Stout3, Robert J Anderson2, Hae Sol Moon4, Zay Yar Han2, Kate Beck5, Jeffrey N Browndyke6, David Dunson7, Kim G Johnson5, and Richard J O'Brien8 | ||
1Radiology, Neurology, BIAC, Duke Univ Medical Center, Durham, NC, United States, 2Radiology, Duke Univ Medical Center, Durham, NC, United States, 3BIAC, Duke Univ Medical Center, Durham, NC, United States, 4BME, Duke Univ Medical Center, Durham, NC, United States, 5Neurology, Duke Univ Medical Center, Durham, NC, United States, 6Psychiatry and Behavioral Sciences Department, Duke Univ Medical Center, Durham, NC, United States, 7Statistical Sciences, Duke University, Durham, NC, United States, 8Neurology, Duke University Medical Center, Durham, NC, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, Aging The brain connectome helds promise to detect subtle changes in individuals at risk for Alzheimer's disease. We imaged using high resolution diffusion imaging 72 subjects enriched for the APOE4 genotype to reveal vulnerable networks associated with a composite AD risk factor including age, genotype, and sex. Sparse canonical correlation analysis (CCA) revealed a high weight associated with genotype, and subgraphs involving the cuneus, temporal, cingulate cortex, and cerebellum. Our results have identified structural brain networks and the associated weights for several risk factors for AD in preclinical stages. |
| 3315 | Computer 85
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Predictive value of baseline functional connectivity to the effect of transcranial magnetic stimulation on Alzheimer's disease |
| Zhiwei Guo1, Qiwen Mu1, and Xiaoyong Zhang2 | ||
1The Second Clinicall Medical College of North Sichuan Medical College, Nanchong, China, 2Clinical Science, Philips Healthcare, Chengdu, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Repetitive transcranial magnetic stimulation (rTMS) may lead to a significant improvement in general cognitive function and memory function of Alzheimer's disease (AD). Several related functional connectivity may contribute to the effectiveness of rTMS. Besides, the baseline functional connectivity between the left hippocampus and left occipitotemporal cortex, left frontoinsular cortex were significantly positively correlated with the improvement of memory recognition function. The baseline functional connectivity between the left hippocampus and left occipitotemporal cortex was significantly positively correlated with the improvement of delayed recall function of memory. |
| 3316 | Computer 86
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Sex dimorphism in early Alzheimer’s pathology: Brain connectivity and Behavior in AppNL-F/MAPT double knock-in mice |
| Inès Ben Abdallah1,2, Marion Sourty1, Mary Mondino1, Laetitia Degiorgis1, Julien Lamy1, Vincent Noblet1, Marion Rame1, Cristiana Pistono2, Aminé Isik2, Marie-Dominique Marinutti2, Céline Héraud2, Hiroki Sasaguri3, Shoko Hashimoto3, Takashi Saito3, Takaomi Saido3, Chantal Mathis2, and Laura Harsan1,4 | ||
1ICube, Université de Strasbourg-CNRS, Strasbourg, France, 2LNCA, Université de Strasbourg-CNRS, Strasbourg, France, 3RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-city, Saitama, Japan, 4Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France |
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Keywords: Alzheimer's Disease, fMRI (resting state), Preclinical MRI is a unique tool to study the complexity of functional and structural communication in the brain. To explore the brain architecture of a mouse model of Alzheimer's Disease and highlight sex-dimorphism in the emergence of AD-like signs, we used a recent mouse model, the APPNL-F/MAPT double knock-in (dKI). In preclinical imaging, we used resting-state graph theory approaches in a longitudinal study associated with behavioral evaluation. Functional connectivity of perirhinal, dorsal-hippocampus and midbrain nodes were implicated in early memory impairments in dKI female mice. Interestingly, perirhinal-cortex and dorsal-hippocampus are key regions for object-place associative memory and long-term object-recognition. |
| 3317 | Computer 87
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Network analysis of Alzheimer’s disease using group cohesive parcellation of rsfMRI |
| Ajay Nemani1 and Mark Lowe1 | ||
1Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Alzheimer's Disease, fMRI (resting state), Parcellation, Network Modelling The search for rsfMRI-based network biomarkers in Alzheimer's disease has yielded inconsistent results. These models are derived from standard anatomical and functional parcellations that may bias downstream analyses. We present a network model of Alzheimer's disease based on cohesive parcellation and compare it to traditional measures of network topology. |
| 3318 | Computer 88
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Hyperactive BOLD response in presymptomatic AD mice model as potential biomarker of early AD |
| Taeyi You1,2, Taekwan Lee3, Geun Ho Im1, Seong-gi Kim1, Sungkwon Chung4, and Jung Hee Lee5 | ||
1Center for Neuroscience Imaging Research, Institute of Basic Science, Suwon, Korea, Republic of, 2Biomedical Engineering, Sungkyungkwan University, Suwon, Korea, Republic of, 3Korea Brain Research Institute, Daegu, Korea, Republic of, 4Physiology, Sungkyunkwan University, Suwon, Korea, Republic of, 5Radiology, Samsung Medical Center, Seoul, Korea, Republic of |
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Keywords: Alzheimer's Disease, fMRI (task based) Alzheimer Disease is a neurodegenerative disease that exhibits memory and cognitive deficits. Majority of research has targeted these late-stage biomarkers as treatment targets, yet all have failed in the clinical settings. Detection of early biomarkers is becoming imperative that can be easily and effectively used. fMRI is a quick and non-invasive procedure that can map whole brain activity. Here we use sensory evoked fMRI in a AD mouse model to show longitudinal changes in brain response that can be potential biomarkers for early AD. |
| 3319 | Computer 89
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MRI phenotypes of the brain are related to long-term dementia outcome in community-dwelling older adults |
| Jasmin A. Keller1, Sigurdur Sigurdsson 2, Bárbara Schmitz Abecassis 1, Ilse M.J. Kant 3,4, Mark A. van Buchem1, Lenore J. Launer5, Matthias J.P. van Osch1, Vilmundur Gudnason2,6, and Jeroen H.J.M. de Bresser1 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Icelandic Heart Association, Kopavogur, Iceland, 3Clinical Artificial Intelligence Implementation and Research Lab (CAIRELab) and Department of Information Technology & Digital Innovation, Leiden University Medical Center, Leiden, Netherlands, 4Department of Digital Health, University Medical Center Utrecht, Utrecht, Netherlands, 5Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, United States, 6Faculty of Medicine, University of Iceland, Reykjavik, Iceland |
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Keywords: Dementia, Aging, Cerebral small vessel disease Individual brain MRI markers only show at best a modest association with long-term occurrence of dementia. Therefore, it is challenging to accurately identify individuals at increased risk for dementia. We implemented a combined hierarchical clustering analysis based on neurodegenerative and neurovascular brain MRI markers and identified 14 distinct subgroups of individuals with different brain MRI phenotypes. These subgroups had a different long-term risk for dementia; especially the multi-burden brain MRI phenotype showed an increased risk (HR: 13.8 (95%-CI:4.28-44.37)). These findings may in the future be useful to determine patient prognosis and may aid in patient selection for future treatment studies. |
| 3320 | Computer 90
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MRI measured Neuroanatomic volume, Cortical Thinning and WMH load with Aging: The Early, Intermediate and Late events of Cognitive status |
| Neha Yadav1, Arkaprava Majumdar1, and Vivek Tiwari1 | ||
1Department of Biological Sciences, Indian Institute of Science Education and Research Berhampur, Berhampur, India |
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Keywords: Alzheimer's Disease, Aging The key to understanding brain-biomarkers depictive of normal cognition and cognitive impairment due to MCI (CI) and/or Alzheimer’s disease (CI-AD) is to identify the series of early, intermediate, and late events that encode brain health. The temporal and spatial order of events of brain health changes observed on MRI, associated with normal aging needs to be precisely delineated from the events associated with cognitive impairment. We have identified early, intermediate and late brain structural and microvascular events distinctive of CN, CI and CI-AD and developed an AI-based platform using an optimal number of MRI features distinctive of cognitive status. |
| 3321 | Computer 91
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Associations between CSF Biomarkers of Alzheimer's Disease and Subcortical Volume in Healthy Aging |
| Qixiang Lin1, Shuai Huang2, Aditya Bisht1, Allan Levey1,3, James Lah1,3, and Deqiang Qiu2,3,4 | ||
1Department of Neurology, Emory University, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 3Goizueta Alzheimer’s Disease Research Center, Emory University, Atlanta, GA, United States, 4Joint Department of BioMedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States |
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Keywords: Alzheimer's Disease, Aging, CSF biomarker; Aβ; Tau; Subcortical; Volume This study aims to evaluate the association between subcortical volumes and cerebrospinal fluid (CSF) biomarkers of Alzheimer’s Disease (AD) in a large group of healthy aging from a single center. CSF samples were obtained and quantitative levels of amyloid-β and Tau were measured. Subcortical tissue segmentations were performed on T1-weighted MPRAGE scans and the volume of each subcortical structure were calculated. Significant correlations were found between CSF biomarkers of AD and volume of the right and the left caudate. This may indicate that the volume of caudate are associated with CSF AD biomarker in healthy aging participants. |
| 3322 | Computer 92
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A comprehensive set of gray matter labels for the MIITRA atlas: Interoperability with complementary atlases |
| Mohammad Rakeen Niaz1, Yingjuan Wu1, Abdur Raquib Ridwan2, Shengwei Zhang2, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Alzheimer's Disease, Aging, Aging, Atlas, Brain, Gray Matter The Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults, contains high resolution (0.5mm) structural and diffusion imaging templates. The present work constructed and evaluated a comprehensive set of gyral-based, cytoarchitecture-based, and functional connectivity-based gray matter labels in MIITRA space in order to enhance the functionality of the MIITRA atlas and its interoperability with complementary atlases. |
| 3323 | Computer 93
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Multivariate data-driven approach to dissect imaging-genetic associations in Alzheimer’s disease |
| Xiaowei Zhuang1, Zhengshi Yang1, and Dietmar Cordes1 | ||
1Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, Imaging genetics To better characterize the Alzheimer’s disease pathogenesis and boost the statistical power, we applied a multivariate data-driven approach (independent component analysis (ICA)) to decompose 70000+ single nucleotide variants (SNVs) from 239 AD-associated genes into multiple functionally relevant subsets. We demonstrated that several genetic clusters identified by ICA could be specially associated with AD clinical diagnosis, AD amyloid or tau pathology, and/or MRI-derived neurodegenerative markers. This type of multivariate data-driven approach could be helpful to further delineate diagnoses-associated or neuropathology-associated genetic variants in AD. |
| 3324 | Computer 94
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Hippocampal subfield volume in relation to cerebrospinal fluid Amyloidß and cognitive assessments in early Alzheimer’s disease: a 7T MRI study |
| Oluwatobi Folorunsho Adeyemi1,2, Olivier Mougin1, George Hutchinson1, Penny Gowland1, Richard Bowtell1, and Akram Hosseini3 | ||
1University of Nottingham, Nottingham, United Kingdom, 2Physics, University of Abuja, Abuja, Nigeria, 3Nottingham University Hospital, Nottingham, United Kingdom |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, High-Field MRI, Quantitative Susceptibility Mapping, Segematation Providing a non-invasive biomarker for the diagnosis of AD has been challenging. In this study 25 participants (12 AD and 13 healthy controls) were scanned on a 7T MRI scanner. Cognitive assessments and analysis of the CSF for Amyloidb1-42 performed by trained Clinicians. The volume of the hippocampal subregion shows a linear relationship CSF- Amyloidb1-42 for all the subfield of the hippocampus, but this trend was only significant for the ERC with p=0.023. The association of the volume of ERC and CSF-amyloid-beta(1-42) suggests the potential for using high field-high resolution MRI as a biomarker for an early identification of AD. |
| 3325 | Computer 95
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Neuroimaging and Cognitive Testing in Healthy Aging Adults using a Portable Low-Field MRI Scanner and Web-Based Assessment |
| Sean Deoni1, Phoebe Burton2, Jennifer Beauchemin2, Rosa Cano-Lorente2, Matthew De Both3, Megan Johnson3, Lee Ryan4, and Mathew Huentleman3 | ||
1MNCH D&T, Bill & Melinda Gates Foundation, Seattle, WA, United States, 2Advanced Baby Imaging Lab, Providence, RI, United States, 3TGen, Pheonix, AZ, United States, 4University of Arizona, Tucson, AZ, United States |
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Keywords: Dementia, Aging, Remote Neuroimaging In this study we sought to (1) Determine the feasibility of collecting remote MRI and cognitive data in adults and elderly individuals; and (2) Replicate previously reported population-based associations between regional brain volumes and cognitive performance with an established cognitive assessment, PAL. Overall, this initial report of at-home MRI shows that MRI data collection on a portable low-field MRI system at a participant's home is possible and offers time efficiency, convenience, and accessibility to participants who might otherwise not be able to participate. |
| 3326 | Computer 96
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3D-MRSI using co-polarized HP [1-13C]pyruvate and [1-13C]dehydroascorbate to study a mouse model of Alzheimer's disease |
| Paola Porcari1, Saket Patel1, Elizabeth Coffee1, Marjan Berishaj 1, Tanya Jain2, Kofi M. Deh1, Nathaniel T. Kim1, Yueming Li2, and Kayvan Keshari1 | ||
1Radiology, Memoral Sloan Kettering Cancer Center, New York, NY, United States, 2Chemical Biology Program, Memoral Sloan Kettering Cancer Center, New York, NY, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, animal model, 13C HP MRI Alzheimer’s disease (AD) is devastating and progressive disease. The non-invasive detection of early onset AD along with the mechanisms that drive its progression are still limited. Recent work has implicated metabolic reprogramming as an earlier AD potential indicator. Therefore, we investigated an AD mouse model at the early stage of development with the goal to evaluate whether co-hyperpolarized [1-13C]pyruvate and [1-13C]dehydroascorbate (DHA) along with 3D MRSI might provide insights into the brain metabolism of FAD mice at the onset of the disease. The metabolism of these translatable biomarkers would then give insight on our understanding of AD diagnosis and treatment. |
| 3327 | Computer 97
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Accelerating 3T MRI standardized protocol for detection of Amyloid Related Imaging Abnormality (ARIA) using Philips SmartSpeed |
| Sandeep Ganji1,2, Brian Johnson3,4, Spencer Waddle1, Johannes Peeters5, Laszlo Mechtler6, and Nandor Pinter6,7 | ||
1Philips, Rochester, MN, United States, 2Mayo Clinic, Rochester, MN, United States, 3Philips, Gainesville, FL 32608, FL, United States, 4University of Texas Southwestern Medical Center, Dallas, TX, United States, 5Philips, Eindhoven, Netherlands, 6Dent Neurologic Institute, Buffalo, NY, United States, 7Department of Neurosurgery, University at Buffalo, Buffalo, NY, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Amyloid Related Imaging Abnormality (ARIA) was reported in 40% of patients treated with anti-amyloid beta drugs in phase 3 trials. It is expected to be a significant factor in the clinical application of new Alzheimer’s Disease (AD) modifying therapies and requires standardized and practical imaging. By employing Compressed-SENSE (CS-SENSE) and newer deep learning based SmartSpeed to accelerate acquisition we created a robust MRI protocol that can be completed in under ten minutes without loss of any image quality. This accelerated protocol can provide a clinically feasible strategy for scanning large populations. |
| 3328 | Computer 98
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Brain NAA Reduction is Associated with Glucose Hypometabolism in Functional Networks of Alzheimer’s Disease: A Hybrid 3D-MRSI/FDG-PET Study |
| Wenli Li1, Miao Zhang2, Yibo Zhao3,4, Yudu Li3,5, Wen Jin3,4, Jialin Hu1, Yaoyu Zhang1, Danni Wang1, Biao Li2, Jun Liu6, Binyin Li6, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Functional network failure has been implicated in the pathophysiology of Alzheimer’s disease (AD). FDG-PET is a well-established tool to map the glucose hypometabolism during AD progression. MRSI indexes the neuronal loss/astrogliosis noninvasively, but has been limited to single-voxel/slice techniques. Using a high-resolution 3D MRSI technique, we evaluated the neurometabolic changes in brain networks and compared them with glucose hypometabolism. Decreases in NAA and increases in mI were found in all networks. NAA reduction followed similar patterns to the hypometabolism over cognitive decline. Combined 3D MRSI and atrophy biomarkers showed comparable performance to FDG-PET in predicting cognitive decline in AD patients. |
| 3329 | Computer 99
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Interrogating the effect of thawing on Fe speciation in human tissue using XANES |
| Dean Tran1, Phillip DiGiacomo1, Marios Georgiadis1, Nicholas Edwards2, Sharon Bone2, Donald Born3, Samuel Webb2, and Michael Zeineh1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA, United States, 3Department of Pathology, Stanford University, Stanford, CA, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, X-ray microscopy Recent studies suggest that iron and neuroinflammation are key components of AD pathology. Specifically, ferrous Fe2+ can cause oxidative stress, a possible a mechanistic link to disease progression. Correlative ex vivo MRI can detect iron-containing microglia in AD hippocampi, but whether this iron is ferrous is unknown. Synchrotron X-ray absorption near edge spectroscopy (XANES) can quantify iron oxidation state in frozen human brain samples. However, tissue thawing during the long scans might affect the oxidation state. Here, we implement the necessary hardware to interrogate that question and present preliminary evidence that, as specimens thaw, less redox-active ferrous iron is measured. |
| 3330 | Computer 100
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Neuropathology and neurometabolites in mild cognitive impairment investigated with 11C-PiB amyloid PET and 7T MRS |
| Christopher William Davies-Jenkins1,2, Kathleen E Hupfeld1,2, Helge J Zöllner1,2, Gwenn S Smith3,4, and Georg Oeltzschner1,2 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medicine, Baltimore, MD, United States, 4Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, MRS, PET, Amyloid, 7T, MCI Mild cognitive impairment (MCI), a prodromal stage of Alzheimer’s disease, is increasingly studied by multi-modal beta-amyloid (Aβ) PET and MRS. Most studies have targeted the PCC and a limited number of metabolites. In this study, we analyzed Aβ PET and 7T 1H-MRS data from the ACC and PCC of MCI patients and healthy controls, using a voxel-specific Aβ metric. Metabolite-amyloid correlations were investigated using multiple regression analysis. We report a novel finding of a differential GABA-amyloid relationship for MCI patients compared with controls in the ACC and support previous reports of amyloid relationships with NAA and myo-inositol. |
| 3331 | Computer 101
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Altered brain function and structure in a transgenic mouse which overexpress MTH1 hydrolase following an oxidative stimulus by rs-fMRI and DTI |
| Taljinder Singh1,2, Francesco de Pasquale3, Gabriele De Luca4, Paola Fortini5, Valeria Simonelli5, and Rossella Canese1 | ||
1MRI Unit, Core Facilities, Istituto Superiore di Sanità, Rome, Italy, 2Department of Basic and Applied Sciences for Engineering, Sapienza University of Rome, Rome, Italy, 3University of Teramo, Teramo, Italy, 4Oncology and Molecular Medicine Dept., Istituto Superiore di Sanità, Rome, Italy, 5Environmental and Health Dept., Istituto Superiore di Sanità, Rome, Italy |
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Keywords: Brain Connectivity, Animals, DTI, oxidant agent Oxidative stress is involved in the pathogenesis of cancer, neurodegeneration and aging. hMTH1 is a hydrolase able to protect cells by oxidative damage. Overexpression of hMTH1 in transgenic mice confers significant protection against oxidative damage. Our study showed alterations in the brain networks of hMTH1-Tg mice with respect to their controls. The chronical exposure to an oxidant agent (Paraquat, most widely used herbicide) causes differences in the brain function (measured by rs-fMRI) and structure (measured by DTI) of transgenic mice. |
| 3332 | Computer 102
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Impact of early suppression of mutant Huntingtin in LacQ140 mouse model of Huntington’s disease on resting-state dynamics |
| Tamara Vasilkovska1,2, Mohit H. Adhikari1,2, Joëlle van Rijswijk1,2, Eline Van Doninck1,2, Johan Van Audekerke1,2, Dorian Pustina3, Roger Cachope3, Haiying Tang3, Deanna M. Marchionini3, Ignacio Munoz-Sanjuan3, Annemie Van der Linden1,2, and Marleen Verhoye1,2 | ||
1Bio-Imaging Lab, Deparment of Biomedical Sciences, University of Antwerp, Antwerp, Belgium, 2μNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium, 3CHDI Management/CHDI Foundation, Princeton, NJ, United States |
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Keywords: Brain Connectivity, Preclinical, Huntington's Disease, dynamic resting-state fMRI Dynamic analyses of resting-state (RS) fMRI reveal transient constituents of RS networks such as the quasi-periodic patterns (QPPs), and co-activation patterns (CAPs) that were shown to be sensitive markers of neurodegenerative diseases in rodent models and humans. We investigated the effect of early suppression of mutant huntingtin (mHtt) expression in the LacQ140 mouse model of Huntington’s disease (HD) on QPP and CAP alterations at the manifest state. In both QPPs and CAPs, the observed genotypic changes in local activity were reduced in the mHtt suppressed group. Additionally, a cross-validated, three-class classification using CAP activations successfully predicted the mHtt suppressed group |
| 3333 | Computer 103
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Altered Resting-State Network Connectivity in Essential Tremor |
| Sheng-Min Huang1, Yu-Chin Huang2, Nan-Hao Chen3, Chun-Ying Shen4, Ting-Kai Leung4,5, and Li-Wei Kuo1,6 | ||
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 2Department of Neurology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan, 3Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 4Department of Radiology, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan, 5Graduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan, 6Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan |
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Keywords: Brain Connectivity, fMRI (resting state), essential tremor We aim to characterize the functional connectivity in essential tremor to portray the resting-state network organization and its correlation to tremor features. Reduced functional connectivity between default mode network and ventral attention network was found in essential tremor subjects. The inter-network connectivity and intra-network connectivity were also shown to be associated with tremor features. Our result suggest that analysis of resting-state network is a potential approach in detecting the cerebral alterations in ET. |
| 3334 | Computer 104
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Functional Connectivity between Right Rolandic Operculum and Default Mode Network Is Associated with Chronic Low Back Pain-Related Disability |
| Chang-Min Chen1, Shwu-Fen Wang2, Dar-Ming Lai3, and Wen-Chau Wu1 | ||
1Institute of Medical Device and Imaging, National Taiwan University, Taipei, Taiwan, 2Department of Physical Therapy, National Taiwan University, Taipei, Taiwan, 3Department of Surgery, National Taiwan University, Taipei, Taiwan |
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Keywords: Brain Connectivity, fMRI (resting state) This study aimed to explore the relationship between emotion and pain-related disability in patients with chronic low back pain (CLBP) by using resting-state functional connectivity (FC). Our results showed that as compared with the control group (n = 26), the patient group (n = 26) had decreased FC with the default mode network in multiple brain regions. Specifically, the right Rolandic operculum was identified, where FC was inversely correlated with the Oswestry disability index (r = -0.616, p < 0.001), suggesting the interplay between emotion processing and pain perception. |
| 3335 | Computer 105
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Brain connectivity markers for the diagnosis of non-suicidal self-injury in adolescents: a DTI and resting-state fMRI study |
| Ping Jiang1, Zhiang Niu1, Hai Lin2, Yongming Dai2, and Jiajun Xu1 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2Central Research Institute, United Imaging Healthcare, Shanghai, China |
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Keywords: Brain Connectivity, Psychiatric Disorders, Non-suicidal self-injury Non-suicidal self-injury (NSSI), defined as the deliberate damage or destruction of body tissue without the intent to die, is a common behavior amongst adolescents. We conducted connectome-based analysis to investigate neural correlates of self-injury and identified several potential brain connectivity markers of NSSI diagnosis. On basis of these markers, the random forest model achieved an accuracy of 78.2% to discriminate between NSSI and non-NSSI patients. Our study indicated that structural and functional connectivity could characterize the behavior of self-injury and help early NSSI diagnosis in adolescents. |
| 3336 | Computer 106
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Cognitive Brain Networks in Adult Fetal Alcohol Syndrome: Analyses of Functional Connectivity with a Higher Criticism Approach |
| Benedikt Sundermann1,2,3, Reinhold Feldmann4, Christian Mathys1,3, Johanna Rau5, Stefan Garde2,6, Anna Braje2, Josef Weglage4, and Bettina Pfleiderer2 | ||
1Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus Oldenburg, Medical Campus University of Oldenburg, Oldenburg, Germany, 2Clinic of Radiology, Medical Faculty, University of Münster, Münster, Germany, 3Research Center Neurosensory Science, University of Oldenburg, Oldenburg, Germany, 4Department of General Pediatrics, University Hospital Münster, Münster, Germany, 5Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany, 6Bergman Clinics Augenklinik Universitätsallee Bremen, Bremen, Germany |
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Keywords: Brain Connectivity, fMRI (resting state) Functional connectivity (FC) between and within a majority of cognition-related brain networks is altered in young adults with Fetal Alcohol Syndrome. Findings in a network-level analysis of resting-state fMRI data with a Higher Criticism approach were most obvious within a dorsal attention subnetwork and to a lesser extent in a salience / ventral attention subnetwork. When analyzing these effects further by looking at single connections, no individual FC alteration was statistically significant when adjusting for multiple comparisons. The finding of a wide distribution of FC alterations across networks might help resolve partially contradictory results in previous studies. |
| 3337 | Computer 107
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Intrinsic brain abnormalities in chronic rhinosinusitis and the effect of mood and cognitive function: a resting-state functional MRI study |
| SIMIN LIN1, MIAOMIAO NIE2, BINGSHAN WANG3, and YI HAN4 | ||
1Radiology, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen, China, 2Radiology, Zhongshan Hospital of Xiamen University, Xiamen, China, 3Zhongshan Hospital of Xiamen University, Xiamen, China, 4Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, Xiamen, China |
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Keywords: Brain Connectivity, fMRI (resting state), Amplitude of low-frequency fluctuation Chronic rhinitis (CRS) is one of the most prevalent chronic diseases that increases the risk of anxiety, depression and cognitive disorders. Here we collected rs-fMRI data to assess global brain activity and functional connectivity (FC) in CRS patients. Compared with controls, CRS patients demonstrated increased ALFF in the left orbital superior frontal cortex and decreased FC in the right precuneus cortex, with the former positively correlated with the severity of inflammation and the scores of anxiety and depression. These rs-fMRI studies provided several important hints into the potential neural mechanism related to mood and cognitive dysfunctions in CRS patients. |
| 3338 | Computer 108
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Bright Light Therapy Alters Brain Functional Connectivity in Subthreshold Depression: A Randomized Clinical Trial |
| Zibin Yang1, Guanmao Chen1, Long Qian2, and Ying Wang1 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan, Guangzhou, China, 2GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Brain Connectivity, fMRI (resting state), Subthreshold depression The underlying mechanisms of bright light therapy in prevention of individuals with subthreshold symptoms are unclear. This study aimed to assess the midbrain monoamine-producing nuclei treatment–related functional connectivity changes and their correlation to depressive symptom improvements in subthreshold depression. A total of 74 young adults with subthreshold depression were randomly assigned to receive 8-week BLT (N = 38) or placebo (N = 36). The dorsal raphe nucleus, ventral tegmental area, and habenula seed-based whole-brain FC were analyzed. In addition, a multivariate regression model examined whether baseline brain FC was associated with changes in scores on HDRS during BLT treatment. |
| 3339 | Computer 109
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Altered intrinsic brain functional network dynamics in drug-naïve, first-episode adolescents with major depressive disorder |
| Baolin Wu1, Zhiyun Jia1,2, and Qiyong Gong1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, fMRI (resting state) This study aimed to explore the dynamic FC in adolescent MDD patients, with a focus on the temporal properties of functional connectivity states as well as the variability of network topological organization. We found that adolescent MDD patients spent more time in the weakly-connected and relatively highly-modularized State 1, spent less time in the strongly-connected and low-modularized State 2, and had higher variability in the network efficiency than healthy controls. These findings suggest impaired local segregation and global integration of functional networks, as well as segregation-integration imbalance in adolescent MDD patients. |
| 3340 | Computer 110
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Altered network pattern of cortical microarchitecture in major depressive disorder |
| Ziyun Xu1, Gangqiang Hou1, Yingli Zhang1, Bo Peng1, Long Qian2, and wentao Lai1 | ||
1Shenzhen Kangning Hospital, Shenzhen, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Brain Connectivity, Brain Connectivity Although major depressive disorder (MDD) has been deeply studied in decades, there are still no reliable biological markers. Here, we combine the T1-wighted, diffusion tensor imaging (DTI) and inhomogeneous magnetization transfer imaging (IhMT) to detect cortical morphometric changes in individuals with MDD. Morphometric similarity network (MSN) was established for each subject. Network properties and rich-club organizations were assessed and analyzed between groups. MDD showed significant alteration in global and nodal properties, as well as reorganization of rich clubs. Consequently, topological structure of the morphometric similarity network is disrupted, which may be a potential biomarker for major depressive disorder. |
| 3341 | Computer 111
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Older Brain Age Prediction Using Functional Brain Network Efficiency Linked to Early Disorder Onset among Depression and Epilepsy Patients |
| Yael Jacob1, Gaurav Verma1, Laurel S Morris1, Lara Marcuse1, Madeline Fields1, James W Murrough W Murrough1, and Priti Balchandani1 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Brain Connectivity, Aging Brain network organization, and specifically its efficiency, is known to be associated with age, implying older brain exhibit reduced network efficiency. Using resting-state functional magnetic resonance imaging, we investigate if estimated brain age according to functional network efficiency is deviant from chronological age in major depressive disorder (MDD) and Epilepsy patients (EP). Global network efficiency significantly predicted chronological age among HC. Importantly, we found the differences between predicted and true brain age among MDD and EP patients were significantly associated with age at onset, indicating that the prediction of an older age brain is associated with early age disorder onset. |
| 3342 | Computer 112
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Altered static and dynamic spontaneous neural activity in adolescent with first episode major depressive disorder and previous suicide attempts |
| Xiaofang Cheng1,2, Jianshan Chen1, Xiaofei Zhang1, Ting Wang3, Jiaqi Sun1, Yanling Zhou1, Ruilan Yang1, Yeyu Xiao3, Amei Chen3, Ziyi Song1, Pinrui Chen1, Chanjuan Yang1, Qiuxia Wu1, Taifeng Lin1, Yingmei Chen1, Yongzhou Xu4, Liping Cao1, and Xinhua Wei2 | ||
1The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, 2South China University of Technology, Guangzhou, China, 3Guangzhou Integrated Traditional Chinese and Western Medicine, Guangzhou, China, 4Philips Healthcare, Guangzhou, China |
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Keywords: Brain Connectivity, Adolescents, Major depressive disorder; suicide; frontal cortex This study combined dynamic and static amplitude of low-frequency fluctuations (ALFF) approaches to investigate the differences in local spontaneous brain activities between depressed adolescents with and without suicide attempts (SA). Our findings suggest that alterations in brain activities in regions involved in emotional processing, decision-making, and response inhibition are associated with an increased risk of suicidal behaviors in depressed adolescents. |
| 3343 | Computer 113
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Functional magnetic resonance imaging reveals fidgeting in ADHD improves prefrontal cortex activation during executive functioning |
| Xirui Zhao1, Paul Condron2, Haribalan Kumar1,2,3, Eryn Kwon1,2,4,5, Gina Waters 4,6, Christopher Erb6, Makarena Dudley4,6, Davidson Taylor2,7, Gil Newburn2, Jerome Maller3, Vickie Shim1,2, Alan Wang1,4,5, Samantha Holdsworth2,4,5, Karen Waldie4,6, and Justin Fernandez1,2,8 | ||
1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 2Mātai Medical Research Institute, Tairāwhiti/Gisborne, New Zealand, 3General Electric Healthcare AUS/NZ, Melbourne, Australia, 4Centre for Brain Research, University of Auckland, Auckland, New Zealand, 5Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand, 6Department of Psychology, Faculty of Science, University of Auckland, Auckland, New Zealand, 7Ngai Tāmanuhiri, Rongowhakaata, Ngāti Porou, Tūranganui-a-Kiwa, Tairāwhiti, New Zealand, 8Department of Engineering Science, Faculty of Engineering, University of Auckland, Auckland, New Zealand |
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Keywords: Brain Connectivity, fMRI (task based), ADHD, fidgeting MRI People with Attention Deficit Hyperactivity Disorder (ADHD) are often observed to fidget or display repetitive fine motor skills. Though it has been proposed that fidgeting may assist with concentration and sustained attention, there is little objective evidence to support this idea. This is the first study to evaluate the impact of fidgeting, using functional magnetic resonance imaging (fMRI), with neurotypical and ADHD adult volunteers. Comparative analyses revealed significant increases in medial prefrontal cortex brain activation while fidgeting during executive functioning in the ADHD participant. This distinction may provide additional information in future MRI diagnosis of ADHD. |
| 3344 | WITHDRAWN |
| 3345 | Computer 114
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Alterations of static and dynamic functional connectivity in adolescents with first-episode major depression and suicidal tendencies |
| Xiaofang Cheng1,2, Jianshan Chen1, Xiaofei Zhang1, Ting Wang3, Jiaqi Sun1, Yanling Zhou1, Ruilan Yang1, Yeyu Xiao3, Amei Chen3, Ziyi Song1, Pinrui Chen1, Chanjuan Yang1, Qiuxia Wu1, Taifeng Lin1, Yingmei Chen1, Yongzhou Xu4, Liping Cao1, and Xinhua Wei2 | ||
1The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China, 2South China University of Technology, Guangzhou, China, 3Guangzhou Integrated Traditional Chinese and Western Medicine, Guangzhou, China, 4Philips Healthcare, Guangzhou, China |
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Keywords: Brain Connectivity, Adolescents, major depressive disorder; suicide; FCS This study used graph theory-based dynamic and static functional connectivity strength (FCS) approaches to investigate the differences in global brain connectivity patterns in depressed adolescents with and without suicide attempts. Our findings suggest that abnormal connectivity patterns in multiple brain regions involving cognition and emotion control, and self-referential processing are associated with the increasing risk of vulnerability to a suicide attempt in depressed adolescents. |
| 3346 | Computer 115
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Multimodal structural and functional features underlying cognitive function in first-episode major depressive disorder |
| Qian Zhang1, Youjin Zhao1, Chenyang Yao1, Yaxuan Wang1, Ziyuan Zhao1, Aoxiang Zhang1, and Qiyong Gong1 | ||
1Department of Radiology, West China Hospital of Sichuan University, Huaxi MR Research Center, Chengdu, China |
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Keywords: Psychiatric Disorders, Brain, major depressive disorder Multimodal joint differences in the right dorsal lateral prefrontal cortex, bilateral superior and inferior parietal lobules, and bilateral calcarine cortex contributed to identification of patients with major depressive disorder (MDD), offering promise in the multimodal psychoradiological characterization for MDD diagnosis. In addition, widespread gray matter alterations across neocortex were associated with cognitive impairments, and partially mediated the age-related cognitive difficulties associated with MDD, deepening the understanding of the relationships between brain alterations and neurocognitive changes in MDD. |
| 3347 | Computer 116
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Brain activity alterations in premature ejaculation patients before and after treatment with sertraline |
| Shaowei Liu1, Jianhuai Chen2, and Weiqiang Dou3 | ||
1Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China, 2Andrology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China, 3GE Healthcare, MR Research China, Beijing, China |
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Keywords: Brain Connectivity, Brain Connectivity This study aimed to explore the central neural mechanisms underlying sertraline in the treatment of premature ejaculation (PE). Resting-state functional magnetic resonance imaging (rs-fMRI) of PE patients before and after treatment with sertraline were acquired. The brain regions with altered regional homogeneity (ReHo) values were found. Increased activity in the occipital lobe and decreased activity in the prefrontal and parietal lobe and thalamus might be the mechanisms of sertraline in the treatment of PE. |
| 3348 | Computer 117
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Altered Brain Activity and Functional Connectivity in transition from recent-onset to chronic tinnitus, a rs-fMRI study |
| Shuting Han1, Peng Wu2, and Yonggang Li1 | ||
1Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, China, Suzhou city, China, 2Philips Healthcare, Shanghai, China, Shanghai, China |
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Keywords: Brain Connectivity, fMRI (resting state), tinnitus As a common disorder, the development of tinnitus deserves the attention of neuroscientists. The present study combined fractional amplitude of low-frequency fluctuations and functional connectivity to explore brain functional abnormalities in transition from recent-onset to chronic tinnitus. Abnormal intraregional neural activity and functional connectivity were observed in the left middle frontal gyrus and left dorsolateral superior frontal gyrus during the development of chronic tinnitus, and these regions are major components of attention network and executive control network. These findings provide us with a better understanding of the aberrant brain changes and neuropathophysiological mechanisms of the progression of tinnitus. |
| 3349 | Computer 118
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Abnormal brain function changes in chronic tinnitus with hearing loss: A Resting-State Functional Magnetic Resonance Imaging Study |
| Jiapei Xie1 and Meiyun Wang1 | ||
1Henan Provincial People's Hospital, Zhengzhou, China |
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Keywords: Brain Connectivity, Brain Connectivity To investigate the differences of spontaneous brain activity and brain functional connectivity between chronic tinnitus patients with hearing loss and healthy control group. Resting state functional magnetic resonance imaging (rs-fMRI) was performed to obtain the low-frequency fluctuation amplitude (ALFF), regional homogeneity (ReHo) and functional connectivity (FC). In this study, compared with healthy controls, chronic tinnitus patients with hearing loss showed aberrant brain activity increased in the temporal lobe, frontal lobe, hippocampus, precuneus, amygdala and cingulate cortex. It provided additional evidence to understand the neuropathophysiological mechanism of chronic tinnitus with hearing loss. |
| 3350 | Computer 119
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Effects on Granger causality Connectivity of Deaf Children during Working Memory Task after Aerobic Exercise Intervention |
| Hang Qu1, Wei-qiang Dou2, and Wang Wei3 | ||
1RADIOLOGY, Affiliated Hospital of Yangzhou University, Yangzhou, China, 2GE Healthcare, MR Research China, Beijing, China, 3Radiology, Affiliated Hospital of Yangzhou University, Yangzhou, China |
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Keywords: Brain Connectivity, fMRI (task based) The cross-modal plasticity was truly involved in theWorking memory (WM) that related to decision-making and memory processing after exercise intervention. However, we know little about the functional connectivity changes after the exercise intervention. The purpose of this study was to examine the cross modal plasticity and Granger causality connectivity among the internetwork in deaf children when performing a WM task before and after exercise intervention. Our results show that aerobic exercise intervention could improve working memory performance in reaction time and mean accuracy rate accompanied with increased internetwork casual flow connectivity. |
| 3351 | Computer 121
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Anesthetic modulation of water diffusion: Insights from a diffusion tensor imaging study |
| Shin-Lei Peng1, Sheng-Min Huang2, and Chun-Chieh Chan1 | ||
1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan |
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Keywords: Gray Matter, Diffusion Tensor Imaging A critical step in animal diffusion tensor imaging (DTI) studies is the use of anesthetics. Understanding the influence of specific anesthesia regimes on DTI-derived parameters is imperative when comparing results between animal studies using different anesthetics. Here, the quantification of fractional anisotropy (FA) and mean diffusivity (MD) under different alpha-chloralose and isoflurane is discussed. The estimated MD under isoflurane anesthesia is higher than that under alpha-chloralose anesthesia. FA quantitation was also influenced by anesthesia regimens to varying extents, depending on the brain regions and b-values. In summary, both scanning parameters and the anesthesia regimens significantly impacted quantifications of DTI indices. |
| 3352 | Computer 122
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Lifestyle determinants of Hippocampal Volume: An AI-enabled Volumetric Analysis on a Large Healthy Cohort. |
| Saurabh Garg1, Nasrin Akbari1, Saqib Basar1, Thanh-Duc Nguyen1, Sean London2, Yosef Chodakiewitz2, Rajpaul Attariwala1, Mostafa Fatehi3, and Sam Hashemi1 | ||
1Voxelwise Imaging Technology Inc, Vancouver, BC, Canada, 2Prenuvo, Vancouver, BC, Canada, 3Division of Neurosurgery, Vancouver General Hospital, Vancouver, BC, Canada |
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Keywords: Gray Matter, Aging, Machine Learning, Artificial Intelligence The volume of the hippocampus and temporal horn of the lateral ventricle provides insight into the state of neurological health and the changes in volume are associated with conditions such as traumatic brain injury1, Alzheimer's Disease 2 and treatment response. It remains an open question what are the normal age-related changes over time in hippocampal and temporal horn volumes in an average healthy population cohort. We seek to establish these baseline parameters via AI-based MRI brain segmentation and quantification techniques applied to a large cohort of screened healthy patients. |
| 3353 | Computer 123
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Non-exponential transverse relaxation in the brain’s basal ganglia |
| Rita Oliveira1, Quentin Raynaud1, Valerij Kiselev2, Ileana Jelescu3, and Antoine Lutti1 | ||
1Laboratory for Research in Neuroimaging, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland |
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Keywords: Gray Matter, Relaxometry Non-exponential transverse relaxation in the brain’s basal ganglia has been investigated in theoretical studies but little evidence from in-vivo MRI data exists in support of this behaviour. Here, we provide experimental observation of non-exponential transverse relaxation in-vivo MRI data in the basal ganglia at 3T. The strongest deviations from exponential behaviour take place in the iron-rich pallidum and substantia nigra. Our results suggest that water diffusion through the inhomogeneous magnetic field induced by paramagnetic iron deposits may be at the source of non-exponential transverse relaxation in the basal ganglia. |
| 3354 | Computer 124
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Dynamic evolution of the predicated brain age in liver transplantation recipients: a longitudinal study |
| Zining Lu1, Yue Cheng1, Xianchang Zhang2, Junhai Xu3, and Wen Shen1 | ||
1Department of Radiology, Tianjin First Central Hospital, Tianjin, China, Tianjin, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, Beijing, China, 3College of Intelligence and Computing, Tianjin University, Tianjin, China, Tianjin, China |
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Keywords: Gray Matter, Machine Learning/Artificial Intelligence To evaluate the dynamic change in overall brain health in liver transplantation (LT) recipients, we constructed a deep learning-based brain age prediction model to measure the longitudinal changes of ‘brain age’ before and one, three, and six months after surgery. The LT recipients’ brain age showed an inverted U-shaped change pattern in the early stages after transplantation. In addition, brain aging was aggravated within one month after surgery, and the patients with a history of overt hepatic encephalopathy were particularly affected. Therefore, the age prediction model can be used to monitor the post-surgical brain function recovery trajectory in LT recipients. |
| 3355 | Computer 125
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Time dependent diffusion and kurtosis of human brain metabolites |
| André Döring1, Frank Rösler2, Kadir Şimşek1,3, Maryam Afzali1,4, Roland Kreis5,6, Derek K Jones1, Julien Valette7, and Marco Palombo1,3 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Department of Mathematics, University of Bern, Bern, Switzerland, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 4Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom, 5Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, 6Translational Imaging Center, sitem-insel, Bern, Switzerland, 7Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, Paris, France |
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Keywords: Gray Matter, Spectroscopy, Metabolites, Diffusion, ADC, Kurtosis, Morphology, Gray Matter, Spectroscopy This work demonstrates that metabolites diffusion and kurtosis time-dependence can be measured in vivo in the human brain using Diffusion-Weighted MR Spectroscopy (DW-MRS) and ultra-strong gradients. At short diffusion-times, DW-MRS is sensitive to cytoplasmic viscosity and short-range structures; at long diffusion-times to long-range structures. We show that modeling the diffusion-time dependence of intracellular and cell-type specific metabolites can be used to infer brain cell morphology and recover fiber radii consistent with healthy human brain histology. Furthermore, we show that water diffusion at long diffusion-times is affected by exchange between intra- and extracellular compartment, which poses challenges for microstructural modeling. |
| 3356 | Computer 126
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Where is Pain in the Brain? Revealing Neural Correlates of Pain as Orchestration of Allostatic Domain-General Patterns via fMRI at 7T |
| Henning Matthias Reimann1, Jurjen Heij2, Thomas Gladytz1, and Thoralf Niendorf1,3 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine, Berlin, Germany, Berlin, Germany, 2Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 3Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Keywords: Gray Matter, fMRI, pain, allostasis To date, fMRI has failed to distinguish an unambiguous and reliable signature that is unique to pain. Pain is accompanied by the activation of networks related to saliency processing. Employing the high sensitivity and spatial fidelity of 7T fMRI, we disentangle these overlapping representations. We apply stimuli that are perceived as painful and others that trigger saliency-related domain-general brain activity. Applying partial least square regression, we identify modality-specific characteristics in the way domain-general patterns are orchestrated relative to each other, revealing a large number of neurosignatures that are specific to the perception of pain. |
| 3357 | Computer 127
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High resolution diffusion tensor imaging shows non-linear trajectories in the human cortex over the healthy lifespan |
| J. Alejandro Acosta-Franco1, Graham Little2, and Christian Beaulieu1 | ||
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada |
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Keywords: Gray Matter, Diffusion Tensor Imaging The brain cortex is thin and has a complex morphology making it difficult to analyze with in vivo diffusion MRI. A high-resolution 1.5 mm isotropic diffusion MRI protocol and an automated cortex segmentation methodology on the diffusion images alone was used to assess cortical diffusion changes over the healthy lifespan (n=165, 5-74 years). The diffusion metrics versus age trajectories differed across the cortical surface despite similar cortical thickness reductions with age. The most robust age changes were for axial diffusivity (quadratic U) and radiality (cubic) potentially reflecting changes in columnar microstructural organization of the cortex in typical development and aging. |
| 3358 | Computer 128
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Patients with type 1 diabetes and albuminuria have reduced cerebral grey matter unrelated to cerebrovascular dysfunction. |
| Mark Bitsch Vestergaard1, Jens Christian Laursen2, Niels Søndergaard Heinrich2, Peter Rossing2, Tine Willum Hansen2, and Henrik Bo Wiberg Larsson1 | ||
1Clinic for Clinical Physiology and Nuclear Medicine, Rigshospitalet, Glostrup, Denmark, 2Steno Diabetes Center Copenhagen, Herlev, Denmark |
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Keywords: Gray Matter, Diabetes, Cerebrovascular function Patients with diabetes mellitus type 1 (T1D) demonstrate brain alterations including gray matter (GM) atrophy. We examined whether a GM reduction could be related to cerebrovascular dysfunction. GM volume was measured by anatomical MRI. Cerebrovascular function was examined by measuring cerebral blood flow, oxygen metabolism and lactate concentration in response to inhalation of hypoxic air using phase-contrast MRI and MRS. T1D patients were evaluated for albuminuria as indication of vessel damages. Patients with T1D and albuminuria had reduced GM compared to patients with normal kidney function or healthy controls, however, the GM atrophy could not be related to cerebrovascular dysfunction. |
| 3359 | Computer 129
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ROI-based morphometry brain neuroimaging reveals grey and white matter abnormalities in type 2 and 3 juvenile SMA patients |
| Wanqing Shen1, Yingqian Chen1, Shu Su1, Yujian Liang1, Pei Xiang1, Long Qian2, and Zhiyun Yang1 | ||
1The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2ge health care, Guangzhou, China |
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Keywords: Gray Matter, Gray Matter, SMA,FreeSurfer,cerebral cortex The study investigated brain structure changes in type 2 and 3 SMA patients and their correlation with the severity of clinical symptoms. MRI examinations were performed on 3.0T MRI scanner and 3D T1W data were analyzed using FreeSurfer.The result showed SMA patients had extensive, multifocal, symmetrical gray white matter degeneration.The postcentral gyrus is strongly associated with symptom severity in SMA patients. It might be explained by the fact that motor neurons exhibit functional alterations, leading to selective motor neuron loss. So it is crucial for brain development and cognitive development if we intervene in SMA disease in an early stage. |
| 3360 | Computer 130
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Mapping Cortical Diffusion Variations with Normal Aging Using DTI: The Validity of the Tensor Interpretation |
| Yutong L. Sun1,2, Jordan A. Chad2, and J. Jean Chen1,2 | ||
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada |
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Keywords: Gray Matter, Aging Aging-related changes in diffusion as measured by diffusion MRI (dMRI) of the white matter (WM) are often interpreted as being driven degeneration of myelinated axons and neurites, but the validity of this tensor (DTI) interpretation of the dMRI signal has never been tested in the cortex. In this study, age-related cortical diffusion variations were assessed using metrics derived from DTI and from the orthogonal-moment diffusion-tensor decomposition (DT-DOME) method. We demonstrate that the tensor interpretation of aging-related dMRI variations are most likely inadequate in the cortex. |
| 3361 | Computer 131
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QSM and edited MRS reveal altered deep-brain gray matter microstructure and neurometabolism in patients with hepatic encephalopathy |
| Helge J. Zöllner1,2,3,4, Thomas A. Thiel3,4, Markus S. Jördens5, Dieter Häussinger5, Georg Oeltzschner1,2, Markus Butz3, Hans-Jörg Wittsack4, Alfons Schnitzler3, and Eric Bechler4 | ||
1The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Kennedy Krieger Institute, F. M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD, United States, 3Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany, 4Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany, 5Department of Gastroenterology, Hepatology and Infectiology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany |
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Keywords: Gray Matter, Quantitative Susceptibility mapping, Hepatic encephalopathy Hepatic encephalopathy (HE) is a common neurological manifestation of liver cirrhosis characterized by altered brain microstructure and metabolism. Here, Quantitative Susceptibility Mapping (QSM) was performed in a well-characterized cohort of HE patients and correlated with metabolite estimates derived from GABA-edited MR spectroscopy. Deep-brain gray matter micro-susceptibility was significantly altered in the bilateral pallidum and dentate nuclei in HE patients. These results were closely linked to metabolite estimates and clinical metrics. |
| 3362 | Computer 132
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Estimating population motor fields (pMF) from saccadic eye movements at high field (7T) |
| Alessio Fracasso1, Katarina Moravkova1, Jasper Fabius1, Rosanne Timmermann1, and Anna Gaglianese2 | ||
1University of Glasgow, Glasgow, United Kingdom, 2Lausanne University Hospital, Lausanne, Switzerland |
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Keywords: Gray Matter, fMRI (task based), saccade, high-field, modelling Here we implemented a variation of the population receptive field model (pRF, Dumoulin et al., 2008; Fracasso et al., 2016), to model blood oxygenation level dependent (BOLD) signal and obtain estimates of saccade tuning direction and width from human PPC, to obtain estimates of the population motor fields (pMF). Saccade tuning width shows a novel organizational property of human posterior parietal cortex, unveiling a gradient from posterior to anterior PPC, with tuning width steadily increasing along the posterior-anterior axis. |
| 3363 | Computer 133
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Abnormal cerebral micro-structures in end-stage renal disease patients related to mild cognitive impairment |
| Jiahui Zheng1, Jiankun Dai2, Xiangxiang Wu1, and Haifeng Shi1 | ||
1Department of Radiology, The Affiliated Changzhou NO.2 People’s Hospital of Nanjing Medical University, changzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Keywords: Gray Matter, Diffusion/other diffusion imaging techniques This study aimed to investigate the abnormal cerebral micro-structures related to mild cognitive impairment (MCI) and further predict individual cognitive function in end-stage renal disease (ESRD) patients undergoing maintenance hemodialysis. Specially, diffusion kurtosis imaging (DKI), mediation analysis, and the least squares support vector regression machine (LSSVRM) were utilized to conduct our study. We observed that aberrant micro-structures partially mediated the association between clinical risk factors and MCI, which is a novel insight into the progression of cognitive dysfunction. The combination of DKI metrics and clinical characteristics could be used as features to efficiently predict cognitive function associated with ESRD. |
| 3364 | Computer 134
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Cortical laminar specific microstructure and magnetic susceptibility in ex-vivo human brain |
| Zhiyong Zhao1, Zuozhen Cao1, Qinfeng Zhu1, Liangying Zhu1, Sihui Li1, Keqing Zhu2,3, Jing Zhang2,3, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China, 3Department of Pathology, The First Affiliated Hospital and School of Medicine, Zhejiang University, Hangzhou, China |
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Keywords: Gray Matter, Ex-Vivo Applications, cortical laminae, microstructure, magnetic susceptibility, human brain Although recent high-resolution functional MRI studies have revealed laminar-specific cortical activity in the human brain, the underlying structural underpinning remains unclear. The present study collected submillimeter-resolution MR images from 10 ex-vivo human hemispheres. We computed the microstructural metrics and magnetic susceptibility for each sample at different cortical depths. We found that the cortical microstructure and magnetic susceptibility showed a depth-dependent pattern, which varied in different cortical regions. The cortical profiles were then correlated with cell density and myelin content obtained from histological staining. These findings may help to understand the structural basis of laminar brain function. |
| 3365 | Computer 135
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Analyzing Cortical Thickness and Volume in patients with Sickle Cell Disease using 7T-MRI |
| Sharadhi Umesh Bharadwaj1, Tales Santini2, Joel D.K Disu1, Busola Oluwole3, Enrico M. Novelli4,5,6, Tamer S Ibrahim7,8,9, and Sossena Wood1,10 | ||
1Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States, 2University of Pittsburgh, Pittsburgh, PA, United States, 3University of Washington/Fred Hutch, Seattle, WA, United States, 4Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 5Department of Hematology/Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 6Sickle Cell Center of Excellence, University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 7Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 8Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 9Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States, 10Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, United States |
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Keywords: Gray Matter, High-Field MRI, Sickle cell disease, cortical thickness, cortical volume The study compares cortical thickness and volume between patients with Sickle Cell Disease (SCD) and healthy controls (HC). There were no significant differences in the cortical thickness and volume of the whole brain between HC and patients with SCD. We found significant differences (p<0.05) in the temporal and parietal regions between HC and patients with SCD. We found significant differences in the parietal and frontal lobes between severe SCD (HbSS) and HC. Between patients with mild SCD (HbSC and HbSβ+thalassemia) and HC, significant differences in cortical thickness in the inferior parietal and lateral occipital regions were found. |
| 3366 | Computer 136
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Developmental Ramifications of the Screen Age: Uncovering Effects of Screen Time on Neural Maturation |
| Alexander S. Atalay1, Benjamin T. Newman2, and T. Jason Druzgal2 | ||
1Radiology and Medical Imaging, University of Virginia, East Greenwich, RI, United States, 2Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States |
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Keywords: Gray Matter, Adolescents, Screen Time Increased screen usage during adolescent development correlates with a complex response in the brain. Using a massive longitudinal human brain MRI dataset, we describe relationships between screen time and cellular microstructure across 13 cortical regions previously implicated in screen usage. Longitudinally, grey matter density had no relationship with screen time, and fractional anisotropy was significantly associated with screen time in only the ventromedial prefrontal cortex. However, microstructural 3T-CSD diffusion MRI metrics were significantly associated with increased screen time in 8 regions. The comparison between these results and typical age-associated development suggests potential negative implications of increased screen usage during adolescence. |
| 3367 | Computer 137
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Investigating Regional Changes in Brain Magnetic Susceptibility in Tanzanian Children with Sickle Cell Anaemia at 1.5 Tesla |
| Mitchel Lee1, Russell Murdoch1,2, Mboka Jakob3, Fenella Kirkham2, and Karin Shmueli1 | ||
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Imaging and Biophysics, Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom, 3Department of Radiology & Imaging, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania |
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Keywords: Gray Matter, Susceptibility Although sickle cell anaemia (SCA) affects the brain, causing stroke and neurocognitive complications, its pathophysiological mechanisms are poorly understood. Quantitative Susceptibility Mapping (QSM) reveals alterations in tissue composition. Therefore, we applied QSM to investigate changes in brain susceptibility in 168 SCA patients compared to 47 healthy controls scanned at 1.5 Tesla in Tanzania. We found a significant susceptibility decrease in SCA vs. controls in the caudate nucleus and globus pallidus and a significant increase in susceptibility in the red nucleus and dentate. Blood haemoglobin levels had a significant positive correlation with susceptibility in the globus pallidus, caudate nucleus and putamen. |
| 3368 | Computer 138
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A multicentric validation of cerebral morphologic changes in menopausal women: DARTEL-based voxel-based morphometry (VBM) study |
| Tae-Hoon Kim1, Youe Ree Kim2, Chang-Won Jeong1, ByoungRyun Kim3, Chungsub Lee1, SiHyeong Noh1, DongWook Lim1, and Young Hwan Lee2 | ||
1Medical Convergence Research Center, Wonkwang University, Iksan, Korea, Republic of, 2Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea, Republic of, 3Obstetrics and Gynecology, Wonkwang University School of Medicine and Hospital, Iksan, Korea, Republic of |
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Keywords: Gray Matter, Aging, menopause Among recent voxel based-morphometry (VBM) technique, DARTEL (Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra)-based VBM method can provide powerful information to understanding morphologic variations in whole brain areas. In women, several VBM studies reported unveiling the brain morphologic reductions (putamen, pallidum, hippocampus, postcentral gyrus, frontal/paritetal/temporal gyrus, and so on) after menopause. These studies provided menopause-related brain centers in postmenopausal women; however these morphologic findings might be included potentially case-sensitive results as a consequence of the enrolled population. This study was performed a multicentric study to evaluate cerebral morphological changes in menopausal women by using a DARTEL-based VBM method. |
| 3369 | Computer 139
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Differential Gray Matter Volume Loss in Controlled and Uncontrolled Type 2 Diabetes Mellitus Over Time |
| Bhaswati Roy1, Sarah E. Choi2, Matthew J. Freeby3, and Rajesh Kumar1,4,5,6 | ||
1Anesthesiology, University of California Los Angeles, Los Angeles, CA, United States, 2UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA, United States, 3Medicine, University of California Los Angeles, Los Angeles, CA, United States, 4Radiology, University of California Los Angeles, Los Angeles, CA, United States, 5Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 6Brain Research Institute, University of California Los Angeles, Los Angeles, CA, United States |
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Keywords: Gray Matter, Diabetes Patients with Type 2 diabetes mellitus (T2DM) show brain tissue changes in mood and cognitive control sites, functions that are deficient in the condition. However, the extent of brain gray matter volume loss in various sites, as well as progression of volume loss with time in controlled and uncontrolled T2DM adults are unclear. We observed higher gray matter volume loss in crucial brain areas involved in cognition and mood control in T2DM adults with uncontrolled glucose levels and accelerated progression after 6-months of follow-up. These findings indicate the need for optimal glucose management in T2DM adults. |
| 3370 | Computer 140
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Mapping the individual human cortex using multidimensional MRI and unsupervised learning |
| Shinjini Kundu1, Stephanie Barsoum2, Jeanelle Ariza3, Amber L Nolan3, C. Dirk Keene3, Peter J Basser4, and Dan Benjamini2 | ||
1The Johns Hopkins Hospital, Baltimore, MD, United States, 2National Institute on Aging, Baltimore, MD, United States, 3University of Washington, Seattle, WA, United States, 4National Institute of Child Health and Human Development, Bethesda, MD, United States |
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Keywords: Gray Matter, Machine Learning/Artificial Intelligence Histology-based cellular composition and tissue architecture provide the biological basis for the brain’s cytoarchitectonic areas and for characterizing neuropathology. Noninvasive methods to assess cortical cyto- and myeloarchitectonic features are therefore urgently needed. In an ex vivo human brain study, we used multidimensional diffusion-relaxation MRI to investigate changes in spectral signatures with cortical depth. We designed an unsupervised segmentation procedure that captures this information and provides cortical laminar maps, which were co-registered to histological images and compared. The ability to map cortical cytoarchitectonic features noninvasively makes multidimensional MRI a promising tool for studying whole-brain cortical organization. |
| 3371 | Computer 141
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White matter macrostructure simultaneously predicts perceived rejection and cognitive inflexibility in late life |
| Tatiana Wolfe1, Carlos Ernesto Garrido Salmon2, G. Andrew James1, Laura B. Dunn1, and Clint Kilts1 | ||
1Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 2Physics, University of Sao Paulo, Ribeirao Preto, Brazil |
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Keywords: White Matter, Neuroscience, Neurodegeneration, Cognitive Flexibility, Late Life, Psychiatric Disorders' Risk Factors. The interplay between brain white matter health and cognitive flexibility in late life is intimate. Understanding the age-related patterns of white matter disintegration along the cingulum network will aid in elucidating factors underlying individual susceptibility to psychiatric illness related cognitive flexibility impairment. We evaluated Bayesian Pearson correlations between a measurement of T1/T2-FLAIR kurtosis and psychiatric risk factors available in a UK Biobank sample. Our findings strongly suggest (BF10>100) that MRI apparent integrity loss in the cingulum, uncinate fascicles and corticothalamic fibers is a significant corollary of an older-age exclusive effect of increased perceived rejection that co-occurs with cognitive flexibility decline. |
| 3372 | Computer 142
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Associations of white matter connections with neurocognitive development in healthy children |
| Rajikha Raja1, Ruitian Song1, John Glass1, and Wilburn E Reddick1 | ||
1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States |
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Keywords: Brain Connectivity, Normal development, Connectome We investigated the associations between structural connectivity and neurocognitive development in healthy children using MRI and behavioral data from 42 subjects belonging to Lifespan Human Connectome Project Development dataset. Diffusion MRI data were analysed using multi-shell multi-tissue constrained spherical deconvolution model to compute fiber orientation distribution functions before probabilistic fiber tracking was performed to obtain whole brain tractograms. Connectivity matrices were computed based on streamline density using nodes from HCP-MMP1 parcellation. Multiple significant correlations between connectivity and cognitive scores measuring working memory, processing speed and executive functioning were identified in this study. |
| 3373 | Computer 143
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Towards an enhanced characterization of white matter pathologies with Q-FiberMapper 2.0 |
| Tommy Boshkovski1, Óscar Peña-Nogales1, Paulo Rodrigues1, Vesna Prčkovska1, and Kire Trivodaliev1 | ||
1QMENTA Inc., Boston, MA, United States |
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Keywords: Brain Connectivity, Software Tools FiberMapper 2.0 facilitates automatic (pre-) processing of MRI data, reconstructs major white matter tracts and derives imaging biomarkers along the tracts sensitive to a wide range of microstructural properties. Additionally, Q-FiberMapper 2.0 implements tract lesion burden analysis which together with the quantitative MR imaging biomarkers could be very useful for early diagnosis, evaluation and monitoring of different neurodegenerative and neuroinflammatory diseases that affect the white matter such as traumatic brain injury, multiple sclerosis, and others. |
| 3374 | Computer 144
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White Matter Structural Connectivity is Associated with Spectral Coherence and Phase Synchronization Measured by Intracranial EEG |
| Bingyang Cai1, Shize Jiang2, Hui Huang1, Jiwei Li1, Siyu Yuan1, Ya Cui1, Lihong Tang1, Liang Chen2, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China |
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Keywords: Brain Connectivity, Diffusion Tensor Imaging Using high quality atlas of the structural connectome, and direct recording of neuronal activity by stereotactic-EEG (SEEG), this study investigated the relationship between neuronal signal connectivity at different seizure stage and the white matter scaffold. The results show electrical signal spectral coherence and phase synchronization are significantly stronger between structurally connected nodes within short distance, while at the time of pre-seizure and seizure onset, high frequency (>80Hz) signal may propagate through longer distance with structural connections. |
| 3375 | Computer 145
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Morphological comparison of superficial white matter bundles between the human and chimpanzee brain |
| Maëlig Chauvel1, Marco Pascucci1, Ivy Uszynski1, Bastien Herlin1, Jean-François Mangin1, William Donald Hopkins2, and Cyril Poupon1 | ||
1Université Paris-Saclay, CEA, CNRS, UMR 9027, BAOBAB, NeuroSpin, , Gif-sur-Yvette, France, Saclay, France, 2Michele E Keeling Center for Comparative Medicine and Research, The University of Texas MD Anderson Cancer Center, Bastrop, Texas, Texas, TX, United States |
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Keywords: Brain Connectivity, Neuroscience, chimpanzee, white matter atlas The role of the superficial brain connections remains unclear. They appear to be important in the structural organization of the connectivity between the different brain gyri and are usually described as 'U-fibers' referring to their shape. Using an isomap algorithm, we explored in finer detail the superficial connectivity of the chimpanzee and human brains, still poorly known. This method allowed us to better capture the variability of the different shapes of the bundles that we observed and to overcome many bias due to subjective preconceptions. |
| 3376 | Computer 146
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Multiparametric MRI neuroimaging signatures predict cognitive decline in Multiple Sclerosis: a 5-year longitudinal study |
| Oun Al-iedani1,2, Stasson Lea2, Abdulaziz Alshehri2,3,4, Vicki E. Maltby2,5,6, Rodney Lea2,7, Saadallah Ramadan2,3, and Jeannette Lechner-Scott2,5,6 | ||
1School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 2Hunter Medical Research Institute, New Lambton Heights, Australia, 3School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 4Department of Radiology, King Fahad University Hospital, Dammam, Saudi Arabia, 5Department of Neurology, John Hunter Hospital, New Lambton Heights, Australia, 6School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 7School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia |
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Keywords: Multiple Sclerosis, Radiomics This novel longitudinal study evaluates multiparametric MRI signature for predicting cognitive decline in multiple sclerosis (MS) cohort followed for 5-years using a penalised regression machine learning approach (GLMnet). 43 MS participants were assessed at baseline and 5-years follow-up. Baseline (input) data consisted of 76 multiparametric MRI measures for different brain regions and tissues. The best performing model was for a change in tARCS (15 features; r=0.7±0.07), which was substantially higher than that for SDMT (r=0.496±0.08). These findings highlight the importance of using measures from multiple MR modalities analysed in combination with machine learning techniques when assessing cognitive decline. |
| 3377 | Computer 147
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Cingulum network myelination structure by SHIFT MRI characterizes higher order cognitive function in multiple sclerosis |
| Tatiana Wolfe1, Ashley Pike1, Sienna Colonese2, Carlos Ernesto Garrido Salmon3, Laura B. Dunn1, R. Lee Archer4, Clint D. Kilts1, and G. Andrew James1 | ||
1Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 2Neurosciences, Colorado State University, Denver, CO, United States, 3Physics, University of Sao Paulo, Ribeirao Preto, Brazil, 4Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States |
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Keywords: Multiple Sclerosis, Brain Connectivity, Myelination integrity, cognitive impairment Impairment of higher-order cognition is a difficult aspect of MS pathology that poses a long-standing challenge for patient care advancement. Understanding how myelination integrity in the cingulum network – a brain pathway implicated in cognition – is related to lost or preserved cognitive functions is fundamental to enable comprehensive MS care and personalized remyelination therapeutics. We investigated if myelination integrity data has the potential to aid in characterizing individual differences in information processing in MS patients. Our findings support that myelination structure-function measured by SHIFT MRI is elucidatory variable to describe individual differences in higher-order cognitive function in MS patients. |
| 3378 | Computer 148
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Identification of Subcortical White Matter Biomarkers in Multiple Sclerosis Patients using Machine Learning |
| Cristian Montalba1,2,3, Raul Caulier-Cisterna1,3, Pamela Franco1,3, Tomás Labbé2, Marcelo E Andia1,2,3, Miguel Guevara4, Jean-François Mangin5, Juan Pablo Cruz2, Ethel Ciampi6,7, Claudia Cárcamo7,8, Pamela Guevara4, Rodrigo Salas3,9,10, and Sergio Uribe1,2,3 | ||
1Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Millennium Institute for Intelligent Healthcare Engineering - iHEALTH, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4Faculty of Engineering, Universidad de Concepción, Concepción, Chile, 5UNATI, Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France, 6Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile, 7Neurology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 8Interdisciplinary Center of Neurosciences, Pontificia Universidad Catolica de Chile, Santiago, Chile, 9Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile, 10Biomedical Engineering School, Universidad de Valparaíso, Valparaíso, Chile |
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Keywords: Multiple Sclerosis, Machine Learning/Artificial Intelligence Radiological biomarkers of cognitive impairment in Multiple Sclerosis (MS) are still scarce. This study aimed to identify subcortical white matter biomarkers of cognitive impairment related to verbal episodic memory in MS patients and healthy controls using a Machine Learning approach. |
| 3379 | Computer 149
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Hyperperfusion precedes demyelination in Multiple Sclerosis lesion formation : a multimodal MRI and [11C]-PiB PET study |
| Théodore Soulier1, Emanuele Morena2, Arya Yazdan Panah3, Matteo Tonietto4, Mariem Hamzaoui5, Vito Ricigliano6, Giacomo Boffa5, Michel Bottlaender7, Benedetta Bodini8, and Bruno Stankoff8 | ||
1Institut du Cerveau (ICM) = Paris Brain Institute - Sorbonne Université, Paris, France, 2Sapienza University of Rome, Rome, Italy, 3Paris Brain Institute - Sorbonne Université - INRIA, Paris, France, 4Centre Hospitalier Frédéric Joliot - CEA, Orsay, France, 5Paris Brain Institute - Sorbonne Université, Paris, France, 6Paris Brain Institute - Sorbonne Université - Hôpital Pitié Salpêtrière APHP, Paris, France, 7Centre Hospitalier Frédéric Joliot - CEA - Université Paris Saclay, Orsay, France, 8Paris Brain Institute - Sorbonne Université - CNRS - INSERM - Hôpital Saint Antoine APHP, Paris, France |
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Keywords: Multiple Sclerosis, PET/MR, Prelesions, lesion formation Studying prelesions, the healthy areas preceding lesion appearance, helps to understand the Multiple Sclerosis (MS) lesion formation process. We study here prelesions in a longitudinal cohort of 19 MS patients combining MRI with Positron Emission Tomography (PET). MRI allowed to identify prelesions, whereas [11C]-PiB PET allowed to quantify myelin content as well as perfusion. We found that the 69 analyzable prelesions of our cohort were heterogeneous regarding perfusion: 24.6% were hyperperfused and 18.8% hypoperfused. Hypoperfused prelesions showed multimodal evidence of demyelination whereas hyperperfused prelesions were not demyelinated yet, suggesting that hyperperfusion precedes demyelination in the MS lesion formation process. |
| 3380 | Computer 150
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Influence of Financial and Socioeconomic Factors on MR Imaging Follow-up Time in Patients with Multiple Sclerosis |
| Rishab Agarwal1, Gelareh Sadigh2,3, Jason W. Allen3, David Sandlin4, and Candace C. Fleischer1,3 | ||
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 2Department of Radiological Sciences, University of California, Irvine, Irvine, CA, United States, 3Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 4Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States |
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Keywords: Multiple Sclerosis, Health Care Economics, Financial Toxicity, Imaging Follow-up Time Multiple sclerosis (MS) is a chronic condition relying heavily on repeated MR imaging, and patients are particularly vulnerable to “financial toxicity”, a component of healthcare economics defined as the effects of healthcare costs on patient well-being. Our goal was to explore the effects of financial and socioeconomic factors on MRI follow-up time in patients with MS. Financial liability, or patient cost after primary insurance coverage, was associated with longer MRI follow-up time, suggesting financial toxicity may contribute to imaging frequency in MS patients. Further investigation over a longer time period is warranted. |
| 3381 | Computer 151
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Machine learning based prediction of clinical progression in multiple sclerosis |
| Samantha Noteboom1, Moritz Seiler2, Claudia Chien2, Roshan P. Rane2, Eva M. M. Strijbis3, Friedemann Paul2, Menno M. Schoonheim1, and Kerstin Ritter2 | ||
1MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands, 2Department of Psychiatry and Neurosciences, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany, 3MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, Amsterdam, Netherlands |
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Keywords: Multiple Sclerosis, Brain Machine learning may aid in individualized prediction of disease progression in multiple sclerosis (MS). In this study, we used data from 354 patients with MS to evaluate the capability of different machine learning approaches at predicting future disease worsening. Multiple clinical end |
| 3382 | Computer 152
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Clinical implementation of Multiplied, Added, Subtracted and/or Divided (MASDIR) sequences on white matter lesions in Multiple Sclerosis |
| Letizia Losa1, Denis Peruzzo1, Graeme Bydder2, Andrea Salmaggi3, and Nivedita Agarwal4 | ||
1CESNE, IRCCS E. Medea, Bosisio Parini, Italy, 2Department of Radiology, University of California, San Diego, San Diego, CA, United States, 3Neurology, Manzoni Hospital, Lecco, Lecco, Italy, 4Neuroradiology, IRCCS E. Medea, Bosisio Parini, Italy |
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Keywords: Multiple Sclerosis, Quantitative Imaging, T1 mapping Multiple Sclerosis (MS) is a demyelinating progressive chronic disease. MR imaging is a key diagnostic tool that allows long-term monitoring of disease progression. Since T1 values can identify clinically relevant tissue properties such as increased water content, myelin loss and changes in microstructure, we assessed the whole brain using Multiplied, Added, Subtracted and/or Divided Inversion Recovery (MASDIR) in patients with MS in an attempt to improve contrast and quantify T1 of lesions. We show that MASDIR is a clinically reliable, easy to implement technique that greatly increases T1 contrast and simultaneously provides quantitative T1 maps. |
| 3383 | Computer 153
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Mapping of Time-Dependent Myelin Changes in Multiple Sclerosis Lesions through Quantitative Separation of Magnetic Susceptibility Sources |
| Alexey Dimov1, Thanh Nguyen1, Shun Zhang2, Yi Wang1, and Susan Gauthier3 | ||
1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Tongji Hospital, Wuhan, China, 3Neurology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Multiple Sclerosis, Susceptibility, Quantitative Susceptibility Mapping, susceptibility source separation De- and remyelination are important treatment targets for multiple sclerosis therapies. In this study, we utilize susceptibility source separation to study differences in longitudinal trajectories of two important lesion types, paramagnetic rim lesions (rim+) and non-rim (rim-) lesions. We report significant difference in myelin content: while rim- lesions tend to demonstrate slow remyelination, rim+ tend to remain stable or demyelinate over time. |
| 3384 | Computer 154
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Fixel Based Analysis detection of peri-lesion and NAWM abnormalities in Relapsing Remitting Multiple Sclerosis |
| Nikolai I Lesack1, Sarah Levy2, James Sumowski2, Stephanie S. G. Brown3, Sam Horng2, and Rebecca Emily Feldman1 | ||
1Medical Physics, University of British Columbia, Kelowna, BC, Canada, 2Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3University of Cambridge, Cambridge, United Kingdom |
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Keywords: Multiple Sclerosis, Diffusion/other diffusion imaging techniques, fixed based analysis, DTI, brain, lesions, peri-lesion, normal appearing white matter Diffusion Tensor Imaging and Fixel Based Analysis (FBA) techniques were used to analyze microstructural properties of multiple sclerosis (MS) lesions and normal appearing white matter (NAWM) in relapsing-remitting multiple sclerosis (RRMS) subjects. FBA metric values were similar in peri-lesion white matter and MS lesions compared with bulk NAWM which may indicate FBA metric sensitivity to the infiltration of RRMS lesion pathology into surrounding NAWM. FBA fibre density in bulk NAWM was significantly different between subjects treated with Copaxone vs. Tysabri, which may indicate FBA metric sensitivity to NAWM differences between disease modifying therapies. |
| 3385 | Computer 155
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Quantification of Thalamic Volume in Multiple Sclerosis: From the Multicenter INNI Dataset Towards the Clinical Application |
| Loredana Storelli1, Elisabetta Pagani1, Patrizia Pantano2,3, Gioacchino Tedeschi4, Nicola De Stefano5, Maria Assunta Rocca1,6,7, and Massimo Filippi1,6,7,8,9 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy, 3IRCCS NEUROMED, Pozzilli, Italy, 4Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 5Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy, 6Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 7Vita-Salute San Raffaele University, Milan, Italy, 8Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 9Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Keywords: Multiple Sclerosis, Neuroinflammation Thalamic atrophy has been found since the earliest phases of multiple sclerosis (MS). However, this measure is not included in clinical practice, due to the time-consuming manual segmentation and technical challenges. By comparing thalamic segmentations from three available automatic methods in a multicenter dataset, we found that the inclusion of fractional anisotropy maps facilitated the automatic identification of thalamic boundaries increasing robustness of the results. In particular, the multimodal approach (FSL-MIST) showed a better capability to detect small longitudinal variations of thalamic volumes in MS patients and a better correlation with another relevant MRI measure such as the lesion volume. |
| 3386 | Computer 156
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Signal variability of multiple sclerosis (MS) lesions on 3D IR-UTE MRI correlates with patient’s disability |
| Sam Sedaghat1, Hyungseok Jang1, Jiyo Athertya1, Yajun Ma1, Jody Corey-Bloom1, and Jiang Du1 | ||
1University of California San Diego, San Diego, CA, United States |
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Keywords: Multiple Sclerosis, Neurodegeneration, UTE, MPRAGE, FLAIR, EDSS We found a significant correlation between the signal variability of MS lesions on IR-UTE / MPRAGE sequences and the EDSS, while the IR-UTE sequence is superior. By using direct myelin imaging, the grade of disability in MS patients could be estimated more accurately. The signal variability of MS lesions on IR-UTE could be used as a novel imaging biomarker for patient’s disability. |
| 3387 | Computer 157
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Improved Characterization of White Matter in Multiple Sclerosis with Free Water-Corrected Diffusion MRI |
| Samantha By1, Jean-Christophe Houde2, Chahin Pachai1, Loika Maltais2, Jorge A. Torres3, Gabrielle Grenier2, Sujuan Huang4, and Daniel P. Bradley3 | ||
1Bristol Myers Squibb, Lawrenceville, NJ, United States, 2Imeka Solutions, Inc., Sherbrooke, QC, Canada, 3Biogen, Cambridge, MA, United States, 4Cytel, Waltham, MA, United States |
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Keywords: Multiple Sclerosis, Diffusion/other diffusion imaging techniques Free water (FW)-corrected metrics in diffusion MRI have shown promise in elucidating confounding pathological processes in multiple sclerosis (MS). Here, we present a retrospective analysis of FW-corrected diffusion in a cohort of 287 MS participants from a multi-center clinical trial. Our preliminary results indicate the method’s ability to distinguish different lesion types and MS subtypes. |
| 3388 | Computer 158
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Investigation of cerebrovascular reactivity of multiple sclerosis patients using multi-modal EEG-fMRI study in hypercapnia condition |
| Wanyong Shin1, Balu Krishnan2, Ajay Nemani1, Daniel Ontaneda3, and Mark J Lowe1 | ||
1Radiology, Cleveland Clinic, Cleveland, OH, United States, 2Eplepsy, Cleveland Clinic, Cleveland, OH, United States, 3Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Multiple Sclerosis, Multimodal, EEG We investigated the change of EEG power, BOLD and CBF contrast during visual stimulation in multiple sclerosis patients and healthy controls. The result shows that cerebrovascular reactivity is disrupted in MS patients compared to controls. |
| 3389 | Computer 159
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Automated QSM Processing in Multiple Sclerosis |
| Ashley Stewart1, Po-Jui Liu2,3, Matthias Weigel2,3, Steffen Bollmann1, and Cristina Granziera2,3 | ||
1School for Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 2Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicing, University Hospital of Basel and University of Basel, Basel, Switzerland, Basel, Switzerland, 3Neurological Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, Basel, Switzerland |
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Keywords: Multiple Sclerosis, Susceptibility In this work, an automated and scalable processing tool for Quantitative Susceptibility Mapping (QSM), QSMxT, is applied to a large dataset of 3D echo-planar imaging (3D-EPI) acquisitions of Multiple Sclerosis (MS) patients and volunteer controls. This is used to reconstruct QSMs for all subjects and generate a group space for the study. MS lesions are depicted and compared across multiple contrasts, including FLAIR, MP2RAGE, 3D-EPI magnitude and QSM. The group space is used to generate average QSM images for the MS and control groups along with a difference image to investigate iron accumulation and demyelination patterns. |
| 3390 | Computer 160
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Altered amide proton transfer weighted signal and diffusion in multiple sclerosis: correlation with neuroflament light and disease duration |
| Jing Huang1, Zhiwei Shen2, and Jie Lu1 | ||
1Xuanwu Hospital, Capital Medical University, Beijing, China, 2Philips Healthcare, Beijing, China |
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Keywords: Multiple Sclerosis, CEST & MT APTw imaging can help us understand the pathological changes in MS more sensitively and accurately. |
| 3468 | Computer 61
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Rapid Neurological QSM measurement based on EPI sequence |
| XueHua Peng1, LiFei Ma2, Rui Zhang2, and XiaoMeng Wu2 | ||
1Radiology Department, WuHan Children’s Hosptial, WuHan, China, 2philips, shanghai, China |
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Keywords: Parkinson's Disease, Quantitative Susceptibility mapping, Rapid QSM measurement, EPI acquisition, Neuro system Quantitative susceptibility mapping（QSM） can be used for quantitatively measurement of neuro system magnetic susceptibility information caused by various diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD) and neuro vascular diseases. In this study, a rapid QSM acquisition based on EPI sequence was proposed to improve clinical feasibility of QSM. The results demonstrated the rapid QSM were very close to those obtained by standard QSM. |
| 3469 | Computer 62
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Machine learning models using T1-mapping and arterial spin labeling images to identify Alzheimer’s disease and mild cognitive impairment |
| Shengyong Li1, Xiaonan Wang2,3, Yida Wang1, Yang Song4, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Beijing, China, 3Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Keywords: Alzheimer's Disease, Arterial spin labelling To investigate the added value of T1-mapping to arterial spin labeling (ASL) for computer-aided early diagnosis of Alzheimer’s disease (AD). A total of 97 (45 AD/24 mild cognitive impairment (MCI)/38 normal control (NC)) people were enrolled retrospectively. We extracted features from 24 automatically segmented brain regions based on T1-mapping and ASL MR images and constructed three radiomics models to differentiate AD-NC/MIC-NC/AD-MCI, for which the radiomics models achieved a favorable prediction performance with the AUCs of 0.921/0.764/0.727, respectively. |
| 3470 | Computer 63
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Dedicated head-only high-performance gradients in a 3T scanner improve image quality compared to a whole-body gradient design |
| J. Kevin DeMarco1,2, H. Douglas Morris2, Robert Y. Shih1,2, Daniel W. Bess3, Luca Marinelli4, Vincent B. Ho1,2, and Thomas K. F. Foo4 | ||
1Walter Reed National Military Medical Center, Bethesda, MD, United States, 2Uniformed Services University of the Health Sciences, Bethesda, MD, United States, 3Fort Belvoir Community Hospital, Fort Belvoir, VA, United States, 4GE Global Research Center, Niskayuna, NY, United States |
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Keywords: Gradients, Brain Ultra-high-performance MAGNUS gradient coils optimized for advanced diffusion imaging were used to obtain routine anatomical brain imaging in a cohort of 31 consecutive subjects enrolled in a mild TBI study. In a blinded review, three neuroradiologists reviewed 3D MPRAGE and 3D T2 FLAIR obtained with MAGNUS and a whole-body 3T scanner (WB3T). Substantial agreement of better overall image quality for MAGNUS vs. WB3T was seen for T2 FLAIR, and mild agreement of better overall image quality for MPRAGE. MAGNUS supports rapid gradient switching and higher gradient strength for additional SNR with 3D T2 FLAIR. |
| 3471 | Computer 64
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Improving the robustness of independent component analysis for denoising multi-echo fMRI data |
| Bahman Tahayori1, Robert E. Smith1, David N. Vaughan1, Chris Tailby1, Eric Y. Pierre1, Graeme D. Jackson1,2, and David F. Abbott1,2 | ||
1The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia, 2Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia |
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Keywords: Data Analysis, fMRI (task based) Multi-Echo fMRI data acquisition has multiple advantages over single-echo acquisition. Principal amongst them is that multiple echoes can distinguish neural activity from artefacts. TE Dependent ANAlysis (TEDANA) is an existing software tool designed to denoise multi-echo fMRI datasets. We evaluated the performance of TEDANA to denoise fMRI data of 120 subjects. Our results demonstrated that TEDANA improved the activation detection at a group level. However, for a subset of subjects TEDANA degraded their individual result substantially. We identified potential causes and proposed a modified framework for multi-echo data analysis that provides reasonable results at an individual subject level. |
| 3472 | Computer 65
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Deep Learning-Based Affine Medical Image Registration - A Review and Comparative Study on Generalizability |
| Anika Strittmatter1,2, Lothar R. Schad1,2, and Frank G. Zöllner1,2 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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Keywords: Machine Learning/Artificial Intelligence, Data Processing, Image Registration In this research we investigated the performance of published neural networks for an affine registration of multimodal medical images and examined the networks' generalizability to new datasets. The neural networks were trained and evaluated using a synthetic multimodal dataset of three-dimensional CT and MRI volumes of the liver. We compared the Normalised Mutual Information, Dice coefficient and the Hausdorff distance across the neural networks described in the papers, using our CNN as a benchmark and the conventional affine registration method as a baseline. Seven networks improved the pre-registration Dice coefficient and are therefore able to generalise to new datasets. |
| 3473 | Computer 66
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Inter-scanner consistency of T1 map and proton spin density map derived from strategically acquired gradient echo (STAGE) imaging |
| Yasutaka Fushimi1, Satoshi Nakajima1, Sachi Okuchi1, Akihiko Sakata1, Takuya Hinoda1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Hiroshi Tagawa1, Yang Wang1, Satoshi Ikeda1, Shuichi Ito1, Miyuki Takiya1, and Yuji Nakamoto1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Keywords: Quantitative Imaging, Brain Recently, strategically acquired gradient echo (STAGE) imaging has been developed as a potential standardized brain imaging protocol. STAGE is designed to use two 3D fully flow compensated multi-echo SWI sequences with 2 different flip angles (FAs). We evaluated the inter-scanner consistency of T1 values and proton spin density (PSD) values derived from STAGE imaging for elderly healthy volunteers. We conducted VOI analysis both in Native space and “Mutual space” using AAL3 VOIs. Parcellation was automatically performed with few manipulations, and good ICC and minimal biases were demonstrated between the two scanners. |
| 3474 | Computer 67
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Rapid Frequency Offset Mapping with the Half-Fourier Acquisition Single-Shot Turbo Spin-Echo with the Selective Parity Approach |
| Aidin Arbabi1, Irina De Alba Alvarez1, Vitaliy Khlebnikov1, Jose P. Marques1, and David. G. Norris1 | ||
1Radboud University, Nijmegen, Netherlands |
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Keywords: Quantitative Imaging, Brain Frequency Offset maps are widely used to correct image distortion or estimate signal loss in gradient echo signal due to field inhomogeneities. Routinely, multiecho gradient echo sequences are used to collect this information. In this work, we introduce an innovative method which enables frequency offset mapping via one single-shot acquisition. The proposed method offers a significant reduction in the acquisition time without loss of accuracy. |
| 3475 | Computer 68
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Improved Assessment of Brain Tissue Viability in Acute Stroke Using Fast High-Resolution 3D-MRSI and Quantitative T2 Imaging |
| Ziyu Meng1, Tianyao Wang2, Bin Bo1, Yibo Zhao3,4, Yudu Li3,5, Rong Guo3,6, Wen Jin3,4, Xin Yu7, Zhi-Pei Liang3,4, and Yao Li1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Radiology Department, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Siemens Medical Solutions USA, Inc, Urbana, IL, United States, 7Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States |
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Keywords: Stroke, Stroke Accurate assessment of tissue viability is of great importance for the design of therapeutic interventions in acute stroke. 1H-MRSI and quantitative T2 imaging can provide neurochemical biomarkers sensitive to the pathological changes in stroke but their applications have been limited by long scan times. This study introduces a novel approach that combines fast high-resolution 3D-MRSI with quantitative T2 imaging to assess the viability of ischemic tissues in acute stroke. This approach achieved improved discrimination between ischemic brain tissues that ultimately infarcted and those recovered using joint neurometabolite concentrations and quantitative T2 values, in comparison with classical DWI and PWI methods. |
| 3476 | Computer 69
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Super-resolution imaging on an MRI-linac to improve real-time MRI used in MRI guided radiation therapy. |
| James Grover1,2, Paul Liu1,2, Bin Dong2, Shanshan Shan1,2, Brendan Whelan1,2, Paul Keall1,2, and David Waddington1,2 | ||
1Image X Institute, University of Sydney, Sydney, Australia, 2Ingham Institute for Applied Medical Research, Sydney, Australia |
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Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial Intelligence, MRI guided radiation therapy Real-time MRI is limited in its spatiotemporal resolution due to imaging time being proportional to the spatial resolution. Super-resolution imaging was integrated into an MRI-linac to improve the spatiotemporal resolution of images used in real-time adaptive MRI guided radiation therapy. Real-time up-sampling techniques included conventional bicubic interpolation and deep learning-based super-resolution. Up-sampling increased the spatial resolution as characterised by healthy volunteer brain and thorax MRIs with negligible impact on the temporal resolution as measured in a motion phantom tracking experiment. |
| 3477 | Computer 70
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Towards accurate and repeatable 1mm isotropic whole-brain MRF quantification using a 1-minute scan with optimized processing pipeline |
| Quan Chen1,2, Xiaozhi Cao1, Congyu Liao1, Siddharth Srinivasan Iyer3, Sophie Schauman1, Nan Wang1, and Kawin Setsompop1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States, 2standford university, palo alto, CA, United States, 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Stanford, CA, United States |
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Keywords: Quantitative Imaging, Brain A rotation-fitting based PV reduction pipeline with B0, B1+ and frequency-based flip angle (FA) scaling corrections are proposed to improve the accuracy and repeatability of magnetic resonance fingerprinting (MRF) in the existence of motion. 5 repeated scans from both stable baseline and big motion positions were acquired and analyzed to compare the repeatability of MRF under different rotation-fitting schemes and B0, B1+ corrections. Rotation before the fitting can substantially reduce the PV effects. The B0/ B1+ and frequency-based FA scaling corrections improve the estimation accuracy. The 2min and 1min 1mm3 whole brain MRF quantitative results also indicate a high repeatability. |
| 3478 | Computer 71
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BPAS-MRI combined with MRA to identify intracranial vertebrobasilar lesions |
| Xiaohan Guo1, Pingping Wang1, Gengming Mu1, Tianju Jia1, Kaiguo Zhu1, Kai Ai2, and Baoying Chen1 | ||
1XI'AN INTERNATIONAL MEDICAL CENTER HOSPITAL, Xi'an, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Blood vessels, Blood vessels Basi-parallel anatomic scanning magnetic resonance imaging (BPAS-MRI) is an MRI technique that can reveal the outer contour of the vertebrobasilar artery, even in the presence of occlusion. A total of 53 patients with 106 segments of blood vessels were scanned by BPAS+MRA, and the results were verified by comparing with VW-MRI. It was found that BPAS+MRA could significantly improve the detection rate of vertebrobasilar lesions, which was of great value for the diagnosis and differential diagnosis of arterial dysplasia, arteriosclerosis and arterial occlusion, and could improve the diagnostic confidence of radiologists. |
| 3479 | Computer 72
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Altered Glx and APT values in hippocampus of patients with aMCI: a novel combined imaging diagnostic marker |
| Xin Chen1,2, Tao Gong1, Tong Chen3, Changyuan Xu1, Yuchao Li1, Qingxu Song4, Liangjie lin5, Georg Oeltzschner6,7, Richard A. E. Edden6, Guangbin Wang1, and Zhangyong Xia2 | ||
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Liaocheng People’s Hospital, Liaocheng, China, 3Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China, 4Qilu Hospital of Shandong University, Jinan, China, 5Philips Healthcare, Beijing, China, 6The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States |
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Keywords: Alzheimer's Disease, Brain, Amnestic mild cognitive impairment; hippocampus; MEGA-PRESS; amide proton transfer-weighted imaging; imaging diagnostic marker Amnestic mild cognitive impairment (aMCI) is considered as a prodromal stage of Alzheimer's disease (AD). Growing evidence supports the hypothesis that unbalanced excitatory/inhibitory (glutamate and gamma-aminobutyric acid) neurotransmitters and consequent abnormal protein deposition in hippocampus contribute to the pathological process of MCI and AD. We explored the changes of hippocampal Glx/GABA+ levels and APTw in aMCI patients using MEGA-PRESS and APTw imaging. Patients with aMCI exhibited decreased Glx levels (and Glx/GABA+ ratios) and increased APTw values in hippocampus. The combination of Glx and APTw values improved the diagnostic performance for aMCI, suggesting it was a potential imaging diagnostic marker. |
| 3480
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Computer 73
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4D CSF flowmetry to map brain-wide slow CSF flow dynamics and patterns in subarachnoid space |
| Zijing Dong1,2, Fuyixue Wang1,2, Amelia K. Strom1,3, Korbinian Eckstein4, Beata Bachrata4, Simon D. Robinson4, Bruce R. Rosen1,2,3, Lawrence L. Wald1,2,3, Laura D. Lewis5, and Jonathan R. Polimeni1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 3Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, United States, 4High Field MR Centre, Medical University of Vienna, Vienna, Austria, 5Department of Biomedical Engineering, Boston University, Cambridge, MA, United States |
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Keywords: Neurofluids, Brain Cerebrospinal fluid (CSF) flow is a key component of the brain’s waste clearance system. However, little is known about the brain-wide CSF flow in subarachnoid space (SAS), due to the low sensitivity of MRI-based flow imaging methods for measuring slow flow. Here, we proposed a phase-contrast 4D CSF flowmetry method using a pulsed-gradient-spin-echo EPI sequence, providing high sensitivity and efficiency to measure brain-wide slow CSF flow dynamics in SAS. Whole-brain CSF flow dynamics including velocity and direction changes were measured and our preliminary data suggest that both cardiac pulsation and respiration can drive CSF flow in both ventricles and SAS. |
| 3481 | Computer 74
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Reproducibility of quantitative 1H-decoupled, NOE-enhanced 31P-MRS in the human brain at 3 T. |
| Magnus Svensen1, Christian Dölle2, Njål Brekke3, Heidi Espeland4, Nora Tvedten4, John Georg Seland4, Frank Riemer5, and Charalampos Tzoulis6 | ||
1Neuro-SysMed & Mohn Medical Imaging- and Visualization Center (MMIV), Bergen, Norway, 2Neuro-SysMed & University of Bergen, Bergen, Norway, 3Haukeland University Hospital, Bergen, Norway, 4University of Bergen, Bergen, Norway, 5Mohn Medical Imaging- and Visualization Center (MMIV), Bergen, Norway, 6Neuro-SysMed & University of Bergen & Haukeland University Hospital, Bergen, Norway |
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Keywords: Data Analysis, Spectroscopy, 31P 1H-decoupled NOE-enhanced 31P-MRS has promising applications in the diagnosis and stratification of neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and amytrophic lateral sclerosis (ALS) due to its ability to longitudinally and noninvasively measure changes to cell metabolism and energy conversion, which is heavily involved in these diseases. To aid clinical translation, this study focuses on assessing the reproducibility of 1H-decoupled NOE-enhanced 31P-MRS by measuring the resonances of metabolites involved in neural energy metabolism. |
| 3482 | Computer 75
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A new directional colormap for DTI fiber tractography and its application to bundle recognition |
| Mauro Zucchelli1, Christos Papageorgakis1, and Stefano Casagranda1 | ||
1Department of R&D Advanced Applications, Olea Medical, La Ciotat, France |
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Keywords: Brain Connectivity, Tractography & Fibre Modelling, Colormap, Diffusion We propose a new tractography colormap based on the HSL model to complement the classical RGB colormap used in the field. Our colormap is based on a new feature, called "streamlines normal", an oriented vector that is computed from the tractography. The streamlines normal in combination with the HSL colormap improves tractography data visualization and can be an asset for better and faster bundle segmentation both manually and automatically. |
| 3483 | Computer 76
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Data Augmentation with Simulated Images for Generalizable Brain MRI Super-Resolution |
| Sina Amirrajab1, Rien Boonstoppel1, Aymen Ayaz1, and Marcel Breeuwer1,2 | ||
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2MR R&D - Clinical Science, Philips Healthcare, Eindhoven, Netherlands |
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Keywords: Machine Learning/Artificial Intelligence, Brain, Super resolution In many medical applications, high resolution images are required to facilitate early and accurate diagnosis. In this paper, we investigate the potential of data augmentation using simulated brain magnetic resonance (MR) images for training a deep-learning (DL) super resolution model that can generalize to brain data from different publicly available sources. Our qualitative visual evaluation results suggest that data augmentation with simulated images can improve the robustness and generalization of the model and decrease the artifacts of the super-resolved images. |
| 3484 | Computer 77
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Toward a detailed subject-specific cerebrovascular model using Arterial Spin Labeling (ASL) Magnetic Resonance Imaging (MRI) |
| Alireza Sharifzadeh-Kermani1, Finbar Argus1, Jiantao Shen1, Sarah-Jane Guild2, David Dubowitz2, Miriam Scadeng2,3, Paul Condron3, Eryn Kwon1,2,3, Samantha Holdsworth2,3, Gonzalo Daniel Maso Talou1, and Soroush Safaei1 | ||
1Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand, 2Faculty of Medical and Health Sciences & Centre for Brain Research, The University of Auckland, Auckland, New Zealand, 3Mātai Medical Research Institute, Tairāwhiti-Gisborne, New Zealand |
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Keywords: Blood vessels, Modelling, Arterial Spin Labeling, ASL, cerebral perfusion, CBF, 4D flow, blood flow Computed flows via haemodynamic models highly depend on peripheral resistances that affect the blood perfusion. To this end, finding a way to estimate these resistances is crucial for having a subject-specific model. Perfusion (CBF) maps produced by Arterial Spin Labeling (ASL)-MRI provide valuable information via which the model can be personalized. This new approach may be promising for providing blood flow measurements of the brain from ASL-CBF data in the absence of a full brain 4D flow sequence. |
| 3485 | Computer 78
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Altered neurovascular coupling in patients with MELAS evaluated by combining cerebral blood flow and regional homogeneity |
| Rong Wang1, Yuxin Li1, Jie Lin1, Yong Zhang2, and Jiankun Dai3 | ||
1Huashan Hospital, Shanghai, China, 2GE Healthcare, Shanghai, China, Shanghai, China, 3MR Research, GE Healthcare, Beijing, China, Shanghai, China |
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Keywords: Stroke, fMRI (resting state) This is the first study that used a combined arterial spin labeling (ASL) and resting-state fMRI approach to assess the neurovascular coupling in patients with mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes (MELAS), which may provide a new mechanistic perspective into understanding numerous brain diseases. |
| 3486 | Computer 79
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SuperQ: 3D Super-Resolution of Quantitative Susceptibility Maps |
| Alexandra Grace Roberts1,2, Yi Wang1,2, Pascal Spincemaille2, and Thanh Nguyen2 | ||
1Electrical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Machine Learning/Artificial Intelligence, Brain 3D super-resolution of QSM is feasible using the VDSR and U-net architectures using a fraction of the required number of epochs as previous 2D super-resolution networks. Additionally, this method both reduces whole brain MSE and ROI MSE and increases the apparent resolution as compared to the interpolated input |
| 3487 | Computer 80
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Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD |
| Aocai Yang1,2, Hangwei Zhuang3,4, Guolin Ma2, and Yi Wang3,5 | ||
1Peking Union Medical College, Beijing, China, 2Department of Radiology, China–Japan Friendship Hospital, Beijing, China, 3Department of Biomedical Engineering, Cornell University, New York, NY, United States, 4Weill Cornell Medical College, Department of Radiology, New York, NY, United States, 5Department of Radiology, Weill Cornell Medical College, New York, NY, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease We assessed the whole-brain oxygen metabolism perturbations in AD using QSM and quantitative BOLD. mGRE data and QQ model was employed to calculate OEF and ASL data was used to reconstruct CBF map. The CMRO2 can be estimated from CBF and OEF based on Fick’s principle. Our results demonstrated a characteristic whole-brain hypoperfusion and hypometabolism pattern in AD, predominantly located within default-mode network. Additionally, decreased CBF and CMRO2 in substructures of bilateral hippocampus strongly correlated with global cognition. QQ model-based noninvasively quantitative measurements have a great potential to be complementary biomarkers for evaluating cognitive impairment in AD. |
| 3488 | Computer 81
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Autocorrelation of the fMRI signal dynamically changes during different brain states |
| Ali M Golestani1, Nichole R Bouffard2, Morris Moscovitch2,3, and Morgan D Barense2,3 | ||
1University of Calgary, Calgary, AB, Canada, 2Department of Psychology, University of Toronto, Toronto, ON, Canada, 3Rotman Research Institute at Baucrest, Toronto, ON, Canada |
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Keywords: Brain Connectivity, fMRI The autocorrelation (AC) of fMRI signal is affected by brain function and state. We used fMRI data acquired during working memory, mathematical computation, visual attention, and rest, and showed that the AC signal of gray matter dynamically changes across different task blocks. The dynamic AC (dAC) can be used to estimate brain-state changes with high accuracy. Classifier accuracy is correlated with the task performance; Subjects with better task performance have better accuracy in the dAC-based brain state classification. This study shows that the AC of the fMRI signal over time dynamically changes by the cognitive processes. |
| 3489 | Computer 82
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Seasonal variations of functional connectivity of human brains |
| Lyuan Xu1,2, Soyoung Choi1, Yu Zhao1,3, Muwei Li1,3, Baxter P. Rogers1,3,4,5, John C. gore1,3,4, Yurui Gao1,4, and Zhaohua Ding1,2,4 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 5Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Brain Connectivity, Brain Connectivity, Seasonality Seasonal variations have been observed in various aspects of human behavior. While studies have explored the seasonality effects in cognition and mood, possible underlying seasonal variations of human brain activity have not gained wide attention. Functional magnetic resonance imaging (fMRI) based on blood-oxygenation-level-dependent (BOLD) effects can detect and map functional activity and thus provides opportunities to characterize seasonal variations in brain functions. This work used fMRI data from the Human Connectome Project (HCP) to quantify seasonal patterns of brain connectivity. Knowledge of seasonality effects in brain activity offers the potential of advancing our understanding of seasonal variations in human behavior. |
| 3490 | Computer 83
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Topology of visual cortical connections shapes spatial structure of perception |
| Chunxiang Jiang1,2,3, Alun Metcalf1, Jack Briggs1, Lijuan Zhang2,3, and Chen Song1 | ||
1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 3University of Chinese Academy of Sciences, Beijing, China |
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Keywords: Brain Connectivity, fMRI Visual experience is highly spatial. Much of what we perceive, we perceive in space. However, the spatial structure of visual experience is often taken for granted and its neural mechanism is rarely studied. Here we tested a novel theoretical framework that proposes lateral connections in primary visual cortex as the neural basis underlying the spatial structure of visual experience. We found that the inhomogeneity in spatial localization ability across visual field correlated with the variability in lateral connection length across primary visual cortex, suggesting a mapping between the topography of visual cortical connectivity and the spatial structure of visual perception. |
| 3491 | Computer 84
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Functional connectivity density changes in adolescent contact and non-contact sport athletes |
| Alexander D. Cohen1, Benjamin L. Brett2, Milan D. Patel1, Kelly D. Ristow1, Michael A. McCrea2, and Yang Wang1 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States |
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Keywords: Brain Connectivity, Traumatic brain injury, Functional connectivity density Repetitive head impact exposure (RHIE) during contact sports (CS) might have potentially long-term neurological effects. We evaluated the effect of sport, time, and their interaction on local and global functional connectivity density (FCD) as measured using an advanced multiband multi-echo EPI sequence in CS and non-contact sport (NCS) middle school and high school athletes. Significant effects of sport and the interaction between sport and time on both local and global FCD were detected, which might suggest functional connections alterations due to contact sport participation. |
| 3492 | Computer 85
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Reorganization of Functional Connectivity between White and Grey Matters during Normal Aging |
| Yurui Gao1,2, Yu Zhao2,3, Muwei Li2,3, Dylan R Lawless2,4, Kurt G Schilling3, Lyuan Xu2,4, Andrea T Shafer5, Lori L Beason-Held5, Susan M Resnick5, Baxter P Rogers2,3, Zhaohua Ding2,4, Adam W Anderson1,2, Bennett A Landman1,2,3,4, and John C Gore1,2,3 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2VUIIS, Vanderbilt University Medical Center, Nashville, TN, United States, 3Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 5Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, United States |
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Keywords: Brain Connectivity, Aging Resting state BOLD signals in white matter (WM) bundles have been found to be partially synchronized with signals in gray matter (GM) volumes, suggesting WM-GM functional connectivity (FC). However, little is known about whether or how these relationships change during normal aging, and traditional graph models are inappropriate. We introduced a novel graph model and applied it to assess WM-GM network properties in 1,462 healthy subjects (22–96years) and their age effects. Results show heterogenous alterations in WM-GM rsFC over adulthood with decreases mainly during late adulthood. Our results demonstrate there is substantial reorganization of WM-GM correlations during normal aging. |
| 3493 | Computer 86
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Comparing left vs right handed normal subjects using high spatial-resolution resting-state fMRI at 7T |
| Stephen Jones1, Ajay Nemani1, Xuemei Huang1, and Mark Lowe1 | ||
1Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Brain Connectivity, Brain Connectivity We present data from a series of resting-state data obtained at 7T using 1 mm isotropic resolution in separate concatenated groups of right handed (RH) and left handed (LH) normal control subjects. Whole brain connectivity maps are obtained from a large number of different seed parcels, many derived from FreeSurfer. We demonstrate the ability of this unique data to recapitulate known connectivity maps at the large scale and discern new findings at small scales. |
| 3494 | Computer 87
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Acute Effects of Psilocybin and Salvinorin-A on Functional Connectivity |
| Frederick Andrew Bagdasarian1, Hanne Hansen1,2, Chi-Hyeon Yoo1, Michael Placzek1, Jacob Hooker1, and Hsiao-Ying Wey1 | ||
1Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Neurobiology Research Unit, Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Netherlands |
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Keywords: Brain Connectivity, fMRI (resting state) This work utilized fMRI to assess the influence of the psychedelics, Psilocybin, a serotonergic agonist, and Salvinorin-A, a kappa-opioid receptor (KOR) agonist, on functional connectivity (FC) in non-human primates. We used a seed-based FC analysis, probing regions of interest associated with psychedelic hallucinogens. Our findings highlight the overlapping and differing influence of these substances on FC relative to the subcomponents of the default mode network and the claustrum. This work may provide insight on the mechanisms of action of psychedelics that target differing receptor systems. Key Words: Functional connectivity; Claustrum; DMN; Psychedelics. |
| 3495 | Computer 88
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Effect of acute severe hypoxic environment on brain network connectivity |
| Daehun Kang1, Koji Uchida2, Clifton Haider3, Erin Gray1, Myung-Ho In1, Joshua Trzasko1, Norbert Campeau1, Kirk Welker1, Jeffrey Gunter1, Yunhong Shu1, Matt A Bernstein1, Max Trenerry4, David III Holmes3, Michael Joyner2, Timothy Curry2, and John III Huston 1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, United States, 3Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 4Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States |
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Keywords: Brain Connectivity, fMRI, Hypoxia Acute exposure to a severely low oxygen environment (<10%) can cause temporary deterioration of cognitive performance. To better understand the mechanism of the hypoxic-related temporary cognitive impairment in the human brain, we examined functional connectivity changes in brain networks during acute severe hypoxia while subjects performed a cognitive task. The acute severe hypoxic environment temporarily increases functional connectivity among salience (SN), default mode (DMN), executive central (ECN), sensorimotor, and visuospatial networks. We observed that increased connectivity of SN to DMN and to ECN during acute severe hypoxia is related with the behavioral cognitive deterioration. |
| 3496 | Computer 89
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Functional Connectivity in Smokeless Tobacco Dependent Users in a Craving ‘Primed’ State |
| Vasishta Polisetty1, S Senthil Kumaran2, Priyanka Bhat3, Pankaj .2, Anju Dhawan1, and Sonali Jhanjhee1 | ||
1Dept of Psychiatry, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 2Dept of NMR, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 3Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India |
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Keywords: Psychiatric Disorders, Brain Connectivity, Addiction Tobacco is a leading cause of preventable cancer and death and is consumed in various forms. There is a paucity of literature regarding cue-induced craving in smokeless tobacco, commonly found in the South East Asian Region. This study aimed to investigate the functional connectivity in a ‘primed’ state after cue-induced craving. We found facilitatory connectivity within salience network (SN) and inhibitory connectivity between default mode network (DMN) and anterior cingulate cortex (ACC) in smokeless tobacco users. |
| 3497 | Computer 90
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Abnormal neural activity in male chronic smokers revealed by resting-state functional MRI |
| Xiaoyu Niu1, Xinyu Gao1, Mengzhe Zhang1, and Yong Zhang1 | ||
1Department of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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Keywords: Brain Connectivity, Brain, chronic smokers, amplitude of low frequency fluctuations, resting state functional connectivity, functional magnetic resonance imaging We combined two methods of resting-state functional magnetic resonance imaging (rs-fMRI) to explore the abnormal neural activity in male chronic smokers. The amplitude of low frequency fluctuation (ALFF) was first calculated and brain regions with significant differences in ALFF between two groups were used as seeds for further resting-state functional connectivity (rs-FC) analysis. Our findings revealed increased spontaneous regional activity in the superior frontal gyrus (SFG) with reduced functional connectivity to visual attention areas and cerebellar subregions in smokers compared with controls, which may play an important role in the pathophysiology of smoking. |
| 3498 | Computer 91
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Mood repair in long-term meditators is predicted by rsfMRI functional connectivity of the insula and correlates with FA of the uncinate fasciculus |
| Quentin Dessain1, Laurence Dricot2, Nicolas Delinte1, Manon Daussort1, Benoit Macq1, Phillipe de Timary2, and Ron Kupers2 | ||
1Institute of Information and Communication Technologies, Electronics and Applied Mathematics, Université Catholique de Louvain, Louvain La Neuve, Belgium, 2Institute Of NeuroScience, Université Catholique de Louvain, Bruxelles, Belgium |
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Keywords: Brain Connectivity, Brain We used rsfMRI and diffusion imaging to study functional and structural brain changes underlying the psychological trait mood repair in long-term meditators. Results of connectome-based predictive modeling showed that measured “mood repair” scores in meditators could be successfully predicted from rsfMRI data during meditation. The highest degree node in the underlying network was in the anterior ventral insula. Diffusion imaging data further revealed a role of the uncinate fasciculus in the mood repair trait in meditators. The uncinate fasciculus is part of the limbic network, connecting anterior temporal lobe with the inferior prefrontal cortex. |
| 3499 | Computer 92
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The Restoration Ability of Short Nap after Sleep Deprivation on the Brain Cognitive Function: A Dynamic Functional Connectivity Analysis |
| Ziliang Xu1, Minwen Zheng1, and Yuanqiang Zhu1 | ||
1Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China |
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Keywords: Brain Connectivity, fMRI (resting state) As we known, consequences caused by Sleep deprivation (SD) are temporary and can be fully reversed with sufficient sleep. However, in many cases, long-duration recovery sleep is not feasible. Inspire by recent study, a short nap may be sufficient for rapid reversal of SD-induced brain function deficits. Based on dynamic functional connectivity and psychomotor vigilance task, our results showed that temporary cognitive impairment cause by SD could reversed to some extent by a nap. Additionally, dominant DFC states differed before and after SD, and their relative proportions affected the degree of cognitive impairment after SD and recovery after a nap. |
| 3500 | Computer 93
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Effects of Abnormal Brain Network Connectivity after Sleep Deprivation Based on Intra-Individual Variance |
| Ziliang Xu1, Minwen Zheng1, and Yuanqiang Zhu1 | ||
1Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China |
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Keywords: Brain Connectivity, fMRI (task based) Sleep deprivation (SD) can cause task performance and negative correlation strength between default mode (DM) and task related network decreasing, but the detailed mechanism is still unclear. Intra-individual variance (IIV) is thought to associated with the negative correlation strength between DM and task active network. Thus, in this study, IIV was used to evaluate the relationship between the changing of this negative correlation strength and the task performance after SD. Results showed that SD may increase the healthy subjects’ IIV through reducing the competition relationship between DM and task active network, which resulted in the temporal impairments of cognitive function. |
| 3501 | Computer 94
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Risk taking tendency correlate with imbalance functional link between brain networks following 36 hours total sleep deprivation |
| Jiyuan Li1, Yunlong Yue1, Yunlong Song2, and Yanfang Jin1 | ||
1Department of MRI, Beijing Shijitan Hospital, Capital Medical University, Beijing, China, 2Department of CT and MRI, The General Hospital of the Air Force People’s Liberation Army, Beijing, China |
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Keywords: Brain Connectivity, fMRI (resting state) 36 hours sleep deprivation produces a significant deficit in vmPFC functional connectivity and default mode networks (DMN), along with the enhanced functional link between vmPFC and executive control networks (ECN). Furthermore, the negative correlation between vmPFC-DMN and vmPFC-ECN coupling during RW were diminished after TSD. We also find that TSD induced the significantly negative correlation between vmPFC-ECN networks and risk-taking behavior. These results demonstrate that an absence of sleep substantially impaired the balance of large scale brain networks and which in turn predicts risk-taking behavior following 36 hours of TSD. |
| 3502 | Computer 95
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Dynamic associations between tonic alertness and brain activity during sleep inertia |
| Yi-Chia Kung1,2,3, Shou Chen4, Fan-Chi Hsiao5, Wei-Chou Chang1,3, Changwei Wesley Wu6,7, and Ching-Po Lin2 | ||
1Department of Radiology, Tri-Service General Hospital, Taipei, Taiwan, 2Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan, 3National Defense Medical Center, Taipei, Taiwan, 4McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montréal, QC, Canada, 5Department of Counseling and Industrial/Organizational Psychology, Ming Chuan University, Taoyuan, Taiwan, 6Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan, 7Brain and Consciousness Research Center, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan |
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Keywords: Brain Connectivity, fMRI (task based) Sleep inertia (SI) occurs during the transition from sleep to waking, accompanied by temporary hypoalertness and decreased tonic alertness around half an hour. We used the psychomotor vigilance task (PVT) to detect the dynamic alteration of tonic alertness during SI by monitoring the Cingulo-opercular network activity through simultaneous EEG-fMRI scanning. The alteration was greater when comparing the Pre PVT session to early wakefulness than to the late wakefulness, and was easily detectable under the task demands. A dynamic of tonic alertness could be observed during SI under the demands of the task. |
| 3503 | Computer 96
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Preliminary evaluation of brain neural networks following chemogenetically-induced activation of the motor cortex in rats |
| Mathias Lysholt Mathiasen1, Sascha Gude1, Henrik Lundell1, Hartwig Roman Siebner1,2,3, and Nathalie Just1 | ||
1DRCMR, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark, 2Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark, 3Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark |
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Keywords: Brain Connectivity, fMRI (resting state), Chemogenetics Genetic and viral tools coupled with functional magnetic resonance imaging (fMRI) techniques provide unique opportunities to investigate the functional neural networks in the rodent brain. Chemogenetic tools can be used to selectively activate or inhibit specific neural populations and their projections, and in combination with fMRI, can reveal the underlying mechanisms of brain activity. We present early resting-state and pharmacological fMRI results regarding CNO-mediated activation of the hM3Dq DREADD in the motor cortex of rats. |
| 3504 | Computer 97
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Functional relevance of cholinergic projections in the ChAT-IRES-Cre mouse brain using optogenetic functional MRI |
| Thajunnisa Ashraf Sajitha1, Russell W Chan1, Patryk Filipiak2, Muneeb Faiq1, Royce P Lee1, Steven H Baete2, and Kevin C Chan1,3,4 | ||
1Department of Ophthalmology, NYU Langone Health, New York University Grossman School of Medicine, New York, NY, USA 10017, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York University Grossman School of Medicine, New York, NY, USA 10017, New York, NY, United States, 3Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA 10017, New York, NY, United States, 4Center for Neural Science, NYU College of Arts and Sciences, New York, NY, 10003, New York, NY, United States |
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Keywords: Brain Connectivity, fMRI (task based) Recent studies have mapped the whole-brain cholinergic projections in the mouse brain. However, their functional relevance remains unclear. In this study, we used optogenetic functional MRI to observe the functional brain responses upon stimulating the cholinergic neurons in the basal forebrain. We observed significant BOLD percentage change in 14 out of 19 brain regions evaluated, indicating their functional relevance to the cholinergic system. |
| 3505 | Computer 98
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Associations between reading ability and white matter tract integrity in adolescents |
| Pierre Nedelec1, Samuel Lashof-Regas1, Leo Sugrue1, and Andreas Rauschecker1 | ||
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Keywords: Brain Connectivity, Adolescents Across a demographically diverse sample of over 7000 US adolescents, the relationship between white matter tracts and reading skills was evaluated using automated tractometry. Fractional Anisotropy (FA) values within several white matter tracts demonstrated strong positive associations with reading ability. Higher FA values were associated with higher reading scores, as assessed by the NIH Toolbox Oral Reading Recognition Test (TORRT). These relationships persisted even after correction for several potential confounding variables. |
| 3506 | Computer 99
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Age-dependent co-variation networks in myelin-related images |
| Nan-Hao Chen1,2, Li-Ping Chen3, Chia-Wei Hsu3, Chin-Hua Yang1,3,4, and Hsu-Hsia Peng1 | ||
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 3Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan, 4Department of Radiology, Taoyuan General Hospital, Taoyuan, Taiwan |
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Keywords: Brain Connectivity, Aging, Myelin co-variation network Myelin co-variation networks was used to investigate the myelinic alteration in brain degradation. However, a systematic investigation of age-related co-variation networks of multiple myelin-related images remains deficient. We aimed to investigate the age-related effect on myelin co-variation networks in gray matter and white matter. Our results revealed that different myelin-related indices presented different age-dependent evolution of co-variation networks. The age-dependencies of strength of co-variation and topological attributes were mostly in complex polynomial pattern. The investigation of multiple age-related myelin co-variation networks might comprehend the synchronous changes between brain regions and demonstrated its usefulness in predicting the alteration of myelinic tissue. |
| 3507 | Computer 100
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Action execution and observation network: the structural connectome supporting variable force perception |
| Fulvia Palesi1, Letizia Casiraghi2, Giovanni Savini3, Sonia Paternò1, Egidio D'Angelo1,4, and Claudia AM Gandini Wheeler-Kingshott1,4,5 | ||
1Dept. Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Dept. Mental Health and Dependence, ASST of Pavia, Pavia, Italy, 3Dept. Neuroradiology, IRCCS Humanitas Research Hospital, Milan, Italy, 4Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy, 5NMR Research Unit, Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London (UCL), London, United Kingdom |
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Keywords: Brain Connectivity, Tractography & Fibre Modelling, Action execution observation network Inter-individual interaction is at the basis of social life making it crucial to characterize the functional networks subtending action execution (AE) and action observation (AO). We investigated the integrative properties of previously defined AE and AO functional networks in relation to force perception in terms of their underlying structural brain connectivity. We found that both networks show a strong connectivity between areas involved in sensory/force perception and in motor planning. The cerebellum was engaged both in executing the force-related task and in simulating motor responses, supporting the existence of specific brain networks involving the cerebellum in mirroring and mentalizing mechanisms. |
| 3508 | Computer 101
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Differential Radiologic-Pathologic Correspondence of Diffusivity, Restriction and Anisotropy with Plaque and Tangle Cores |
| Courtney J Comrie1, Laurel A Dieckhaus1, Tom G Beach2, Geidy E Serrano2, and Elizabeth B Hutchinson1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Brain and Body Donation Program, Banner Sun Health Research Institute, Sun City, AZ, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Alzheimer’s is an irreversible degenerative brain disease. Clinical MRI may visualize severe brain atrophy but fails to recognize earlier biomarkers associated with subtle microstructural changes. Microstructural MRI techniques such as DTI, MAP-MRI, and MSDKI may sensitively detect and distinguish tissue degeneration, tauopathies, and beta amyloid plaques in the hippocampus and entorhinal cortex. The capability of these techniques was investigated in post-mortem human temporal lobe specimens at high resolution and high image quality. Prominent findings seen were differences between DTI and MAP-MRI anisotropy metrics, and striking differences between the hippocampus and entorhinal cortex for restriction due to plaques. |
| 3509 | Computer 102
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Development of an FOD template of the older adult brain for the MIITRA atlas |
| Yingjuan Wu1, Abdur Raquib Ridwan2, Mohammad Rakeen Niaz1, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Alzheimer's Disease, Aging, Atlas A high quality FOD template of the older adult brain can enhance the sensitivity and accuracy of white matter investigations in older adults. The present work compared several FOD template construction methods for the purpose of developing a high-resolution FOD template of the older adult brain in the space of the MIITRA atlas. The preferred method employed multichannel registration based on T1w, FA and FOD information, followed by additional FOD single modality registration. The resulting FOD template exhibited high image quality, was constructed based on precisely matched FOD data, and exhibited high spatial matching to other existing MIITRA templates. |
| 3510 | Computer 103
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Detecting micro- and macro-structural deviations in individuals with cognitive impairment |
| Kurt Schilling1, Francois Rheault2, Dmitri Shastin3, Leon Y Cai4, Andrea T Shafer5, Susan M Resnick5, Bennett A Landman4, and Maxime Chamberland6 | ||
1VUMC, Nashville, TN, United States, 2Sherbrooke University, Sherbrooke, QC, Canada, 3Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 4Vanderbilt University, Nashville, TN, United States, 5National Institute on Aging, Baltimore, MD, United States, 6Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Medical imaging is a promising tool in detecting altered brain tissue states related to cognitive impairment and dementia, however, clinical heterogeneity challenges interpretation of these changes. Recent work in normative modeling has paved the way for not only group-based comparisons of control/cohorts, but detection of deviations in individual subjects. Here, we apply this framework to detect anomalies in individuals with cognitive impairment by assessing the classification power of microstructural and macrostructural features of different tissue types, and also attributing anomalies to specific features of brain tissue. |
| 3511 | Computer 104
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Relating left hippocampal microstructure and delayed memory in cognitively intact adults at genetic-risk for developing Alzheimer's disease |
| Jennapher Lingo VanGilder1, Leslie C. Baxter2, Andrew Hooyman1, Leland S. Hu3, Yuxiang Zhou3, Richard J. Caselli4, Kurt G. Schilling5, and Scott C. Beeman1 | ||
1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States, 2Psychiatry and Psychology, Mayo Clinic, Scottsdale, AZ, United States, 3Radiology, Mayo Clinic, Scottsdale, AZ, United States, 4Neurology, Mayo Clinic, Scottsdale, AZ, United States, 5Radiology, Vanderbilt University, Nashville, TN, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, ApoE4; genetic-risk We have recently shown that the functional connectivity of the left hippocampus is significantly related to memory trajectory in cognitively intact ApoE4 carriers, independent of hippocampal volume. The purpose of this preliminary study was to determine if dendritic orientation dispersion of the left hippocampus explains variance in delayed verbal memory in this cohort. Results indicated that dendritic complexity of the left hippocampus was related to delayed memory in ApoE4 carriers. These findings suggest that ApoE4 carriers may experience subtle microstructural declines in the left hippocampus at the cognitively-intact stage. |
| 3512 | Computer 105
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White matter fiber characteristics in Alzheimer's disease using fixel-based analysis |
| Meng Li1, Shanwen Liu2, Yuqi Zhi1, Rong Liu1, Zhen Jiang1, Xiaoyun Liang3,4, Hua Hu2, Yunzhu Wu5, Yang Song5, and Jiangtao Zhu1 | ||
1Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China, 2Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, China, 3Institute of Artificial Intelligence and Clinical Innovation, Neusoft Medical Systems Co., Ltd., Shanghai, China, 4Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia, 5MR Scientific Marketing, SIEMENS Healthineers Ltd., Shanghai, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease We collected diffusion-weighted images of all subjects and divided them into four groups: HC, MCI, mild AD and moderate AD. The differences of FD, FC and FDC were analyzed by FBA method. The results showed that the three metrics in AD group were significantly lower than those in HC Group, but there was no significant difference in MCI Group. This study indicates that there is a microstructural or macrostructural degeneration in the white matter of AD patients. |
| 3513 | Computer 106
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The value of diffusion kurtosis imaging in evaluating the mild cognitive impairment of occupational aluminum workers |
| Wenji Xu1, Xiaochun Wang2, Hui Zhang2, and Yan Tan*2 | ||
1College of Medical Imaging, Shanxi Medical University, Taiyuan, China, 2Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, Alzheimer’s disease; aluminum exposure; diffusion kurtosis imaging In this work, we focused on the Al-exposed workers and confirm the findings that DKI can discriminate MCI from NC, furthermore we assess the severity of cognitive impairment in Al-exposed workers, and find the MK, Kr, MD and FA values are correlated with MoCA scores，which may provide quantitative imaging biomarkers for Al-exposed MCI workers. |
| 3514 | Computer 107
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Processing Pipeline and Analytic Framework for Diffusion and Morphometric Analyses of Alzheimer’s Disease Repository Data |
| Samantha N Schatz1, Courtney J Comrie1, Laurel A Dieckhaus1, and Elizabeth B Hutchinson1 | ||
1University of Arizona, Tucson, AZ, United States |
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Keywords: Alzheimer's Disease, Diffusion Tensor Imaging, Repository Data, Cognitive Impairment, Tensor Based Morphometry, Hippocampus Alzheimer's disease is generally accompanied by brain atrophy, which can be evident on MRI based evaluation at late stages, but there is a need for earlier stage MRI markers that may predict progressive cognitive impairment. Using the NACC Uniform Data Set, a robust pipeline was developed for registering DTI maps to a Human Connectome Project template space and an analysis framework for ROI based, voxel-wise, and morphometric analysis was applied. Prominent results include increased trace in the hippocampus and an increase in ventricle volume in the group with severe cognitive impairment. |
| 3515 | Computer 108
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Diffusion tensor subspace imaging (DiTSI) delineates small fibers and gray matter microstructure invisible to single-encoding techniques |
| Elizabeth Hutchinson1, Jean-Pierre Galons2, Courtney Comrie1, Seraphina Solders3, Geidy Serrano4, Thomas Beach4, Vitaly Galinsky3, and Lawrence Frank3 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Center for Scientific Computing in Imaging, University of California, San Diego, CA, United States, 4Banner Sun Health, Sun City, AZ, United States |
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Keywords: Alzheimer's Disease, Diffusion/other diffusion imaging techniques, double diffusion encoding Double diffusion encoding (DDE) MRI provides unique sensitization to microscale anisotropy although scalar representation of DDE data is challenging. The diffusion tensor subspace imaging (DiTSI) framework generates metrics from DDE images. In this study, post-mortem human brain tissue specimens were imaged and comparative analysis found that DiTSI but not DTI was able to provide distinct contrast in gray matter regions and at the gray/white interface. Additionally, small cranial nerve fibers of the brain stem were detectable using DiTSI, but not DTI or NODDI approaches and also showed remarkable abnormalities in Alzheimer’s disease tissue that were absent for DTI. |
| 3516 | Computer 109
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APOE ε4 and Hypertension: Cardiovascular Risk Accelerate the Brain Structure Atrophy and Small Vessel Disease Pathologies in MCI and Dementia |
| Aniket Aman1, Neha Yadav1, Arkaprava Majumdar1, and Vivek Tiwari1 | ||
1Department of Biological Sciences, Indian Institute of Science Education and Research, Berhampur, Berhampur, India |
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Keywords: Dementia, Aging, White Matter Hyperintensity, APOE E4, Cognition, Hypertension Transformation of brain heath with aging comprehend a series of brain structure, vascular and functional changes over time. The key to understanding the brain health in normal and pathological aging is to identify the series of early, intermediate and late events that encodes for brain health. Here, we have investigated the temporal and spatial orders of brain volumetry, small vessel pathology (white matter hyperintensity) and its kinetics with normal aging and aging with cardiovascular risks and gene defects such as APOE ε4, across subjects classified as cognitively Normal (CN), Mild Cognitive Impairment (MCI) and Dementia (DM). |
| 3517 | Computer 110
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White matter hyperintensity shape in relation to long-term small vessel disease progression in community-dwelling older adults |
| Jasmin A. Keller1, Sigurdur Sigurdsson 2, Mark A. van Buchem1, Lenore J. Launer3, Matthias J.P. van Osch1, Vilmundur Gudnason2,4, and Jeroen H.J.M. de Bresser1 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Icelandic Heart Association, Kopavogur, Iceland, 3Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, MD, United States, 4Faculty of Medicine, University of Iceland, Reykjavik, Iceland |
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Keywords: Dementia, Aging, Cerebral small vessel disease White matter hyperintensity (WMH) shape was recently introduced as a novel small vessel disease (SVD) marker that may provide a more detailed characterization of WMH than volume alone. We aimed to investigate the association between baseline WMH shape and cerebrovascular disease progression over 5 years. A more irregular shape of periventricular/confluent and deep WMH at baseline is associated with increased progression of WMH volume. Moreover, a more irregular shape of periventricular/confluent WMH was associated with occurrence of new microbleeds and new subcortical infarcts at follow-up. Our findings indicate that a more irregular WMH shape is associated with SVD progression. |
| 3518 | Computer 111
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Quantitative Gradient Recalled Echo (qGRE) MRI enables preatrophic neurodegeneration measurement in a mouse model of Alzheimer’s Disease |
| Michal R Tomaszewski1, Alexander L Sukstansky2, Hyking Haley1, Xiangjun Meng1, Corey O Miller1, and Dmitriy A Yablonskiy2 | ||
1Translational Imaging, Merck & Co, West Point, PA, United States, 2Mallinckrodt Institute of Radiology, Washington University, St Louis, MO, United States |
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Keywords: Alzheimer's Disease, Animals There is an unmet need for non-invasive technique for measurement of neurodegeneration in Alzheimer’s Disease (AD). Quantitative Gradient-Recalled-Echo (qGRE) MRI showed promise to address this in patients through quantification of tissue specific R2* relaxation showing neurodegeneration before atrophy. Here qGRE is optimized and applied for the first time to measure progression of this preatrophic neurodegeneration in Tg4510 mouse model of AD. Histological neuronal density quantification and test-retest measurements validated R2* measurements. We showed significant decrease in normalized median hippocampus R2* between 3, 5 and 6 month-old Tg4510 mice. The method can be applied in AD drug discovery and model development. |
| 3519 | Computer 112
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Fixel based analysis to investigate white matter alterations in individuals with Mild cognitive impairment and Alzheimer’s disease |
| Anjan Bhattarai 1,2, Pauline Maillard1, Charles DeCarli1, and Audrey Fan1,2 | ||
1Department of Neurology, University of California Davis, Davis, CA, United States, 2Department of Biomedical Engineering, University of California Davis, Davis, CA, United States |
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Keywords: Alzheimer's Disease, Diffusion/other diffusion imaging techniques, Fixel based analysis We investigated fibre tract-specific changes in the whole-brain white matter in individuals with Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) using Fixel Based Analysis (FBA). The results show significant reduction in microstructural fibre bundles in AD, in regions including splenium of the corpus callosum, fornix, and the uncinate fasciculus. FBA-derived measures, including fibre density (FD), and combination of fibre density and cross-section (FDC) demonstrated sensitivity in detecting microstructural white matter alterations in AD. These findings highlight the utility of FBA as a potential biological marker for providing valuable insights into pathophysiologic changes in AD. |
| 3520 | Computer 113
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Development of a high-resolution magnetic susceptibility template of the older adult brain in MIITRA space |
| Rasheed Abid1, Abdur Raquib Ridwan2, Yingjuan Wu1, Mohammad Rakeen Niaz1, Shengwei Zhang2, Arnold M. Evia2, David A. Bennett2, and Konstantinos Arfanakis1,2 | ||
1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, United States |
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Keywords: Alzheimer's Disease, Aging, Brain, Susceptibility, Atlas Quantitative susceptibility mapping (QSM) is considered a promising tool for the detection and monitoring of disease processes that alter magnetic susceptibility in the brain of older adults. Voxel-wise and atlas-based QSM analyses require accurate spatial normalization of QSM data, which requires a high quality QSM template representative of the population. However, a QSM template of the older adult brain is not yet available. This study aimed to construct a high quality, high resolution QSM template of the older adult brain in the space of the MITRA atlas based on data from a large, diverse, community cohort of non-demented older adults. |
| 3521 | Computer 114
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Measurement of blood-brain barrier leakage in AD transgenic mice with aging: Improving sensitivity with capillary input function |
| Jonghyun Bae1,2,3, Ayesha Das3, Isabel Reyes4, Sawwal Qayyum5, Jin Zhang5, Arjun Masurkar4, and Sungheon Gene Kim5 | ||
1Vilcek Institute of Graduate Biomedical Science, NYU School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research, Radiology, NYU School of Medicine, New York, NY, United States, 3Radiology, Weill Cornell Medical College, New York, NY, United States, 4Neurology, NYU Langone Health, New York, NY, United States, 5Weill Cornell Medical College, New York, NY, United States |
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Keywords: Alzheimer's Disease, Aging Recent studies have suggested that the increase in blood-brain barrier (BBB) permeability is associated with both aging and the progression of the Alzheimer’s disease (AD). However, the association of the amyloid pathology with the increased BBB leakage at different disease progression is still poorly understood. In this study, we performed a cross-sectional study to investigate the BBB permeability changes in AD transgenic mice with aging. We also propose the network-aided analysis allows the scan time reduction without compromising the accuracy of the detection of the subtle permeability |
| 3522 | Computer 115
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Anomalous Neurovascular Coupling in cerebral small vessel disease patients related to cognitive impairment |
| Ying Hu1, Yawen Sun1, Yiming Zhang1, and Yan Zhou1 | ||
1Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China |
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Keywords: Dementia, Aging NVC is thought to reflect the interrelationship between nutrient demand and supply, whereby neuronal activity influences local changes in blood flow. Injuries to the NVU could be the crucial point to CSVD, but the mechanisms remain obscure. This is the first study investigating CSVD from the perspective of the NVC at the whole brain, modular and regional levels. |
| 3523 | Computer 116
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Dynamic Changes in Quantitative MRI-based Biomarkers of Alzheimer’s Disease and Its Association with Cognitive Decline – A Longitudinal Study |
| Xiang Fan1,2, Yuan Cai2, Wanting Liu2, Lin Shi2, and Vincent CT Mok2 | ||
1Peking University Shenzhen Hospital, Shenzhen, China, 2The Chinese University of Hong Kong, Hong Kong, SAR, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Alzheimer's disease (AD) resemblance atrophy index (AD-RAI) is a novel MRI-based machine-learning derived imaging biomarker for AD that is valid in detection of early AD. We selected 318 CU and MCI subjects in ADNI with four-year follow-up with 1471 serial MRI scans to assess longitudinal changes of the MRI biomarkers (i.e., AD-RAI, HV, HF, BPV, BPF) in correlation with the change in time and conversion status. We used generalized linear mixed-effects models to compute and show the predictive value. AD-RAI over time showed the highest classification accuracy for predicting converters when compared with other imaging biomarkers. |
| 3524 | Computer 117
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Microstructure and connectivity alterations in a novel mouse model of Alzheimer’s disease |
| Surendra Maharjan1, Megan Renate Jewett1, Abigail Wallace1, and Nian Wang1,2 | ||
1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Stark Neurosciences Research Institute, Indianapolis, IN, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, mice Alzheimer’s disease is a common neurodegenerative dementia. Although disease has no cure, early intervention can help to maintain normal mental function and slow down the progression of the disease. A comprehensive study incorporating diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), brain connectivity and fixel-based analysis (FBA) is still lacking. Hence, we aim to apply these methods in a novel SAA mouse model of Alzheimer’s disease. We found there was significant difference in cortex and hippocampus in between control B6 and SAA groups. |
| 3525 | Computer 118
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The association of amyloid PET, metabolic brain MRI, and age in Alzheimer's disease and normal controls: An OASIS-3 dataset analysis |
| Shu Matsushita1, Hiroyuki Tatekawa1, and Yukio Miki1 | ||
1Department of Diagnostic and Interventional Radiology, Osaka Metropolitan University, Osaka, Japan |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Revealing the association of amyloid PET and metabolic MRI measurements would be useful for future studies or clinical situations that evaluate Alzheimer's disease (AD). We investigated the relationship between imaging measurements and clinical information in 29 AD patients and age- and sex-matched normal controls (NCs) using OASIS-3 dataset. A significant positive correlation was found between brain temperature and index of diffusivity along the perivascular space (ALPS index) among all subjects and NCs, while a significant negative correlation was found between age and ALPS index among all subjects, AD patients, and NCs. |
| 3526 | Computer 119
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Within-network changes in strength of the default mode network are related to Alzheimer’s Disease biomarkers in APOE e4 carriers |
| Katherine Anne Koenig1, Sally Durgerian1, Mark J Lowe1, Frank DiFilippo1, Lynn Bekris1, James Leverenz1, and Stephen Rao1 | ||
1The Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Alzheimer's Disease, Alzheimer's Disease, APOE The apolipoprotein E (APOE) ε4 genotype is a genetic risk factor for late onset Alzheimer’s Disease (AD). Consistent differences in network connectivity have been described in ε4 carriers (e4+). Here, we compare resting state connectivity in the default mode network between elderly, cognitively intact e4+ and non-carriers (e4-) and assess the relationship of connectivity to AD-related biomarkers. Regional changes in the e4+ group primarily consisted of weakened connectivity. Connectivity strength in the middle temporal gyrus was negatively related to amyloid PET centiloid score and p-tau in the e4+ group. |
| 3527 | Computer 120
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Hippocampal metabolites in patients with amnestic mild cognitive impairment |
| Xin Chen1, Tao Gong1, and Weibo Chen2 | ||
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 2Philips Healthcare, Shanghai, China |
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Keywords: Alzheimer's Disease, Alzheimer's Disease Amnestic mild cognitive impairment (aMCI) is a precursor to Alzheimer's disease (AD). The neurometabolic changes especially the neurotransmitters in the hippocampus contributed the course of AD. In-vivo magnetic resonance spectroscopy (MRS) can be used to measure brain metabolites noninvasively. In this study, we aim to explore the changes of hippocampal metabolic changes in aMCI patients using PRESS and MEGA-PRESS. aMCI patients exhibited decreased hippocampal Glx levels from MEGA-PRESS, having low concordance with PRESS. |
| 3528 | Computer 121
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Inhibition of phospholipase A2 by mepacrine reduces total choline in a rat model of Alzheimer’s disease |
| Colleen Bailey1, Ved Hatolkar1, Wendy Oakden1,2, Margaret M Koletar1, JoAnne McLaurin1,3, and Jamie Near1,4 | ||
1Sunnybrook Research Institute, Toronto, ON, Canada, 2Synaptive Medical, Toronto, ON, Canada, 3Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Keywords: Alzheimer's Disease, Preclinical, neuronal loss We examined the effect of the PLA2 inhibitor mepacrine on the levels of choline and other brain metabolites in the TgF344-AD rat model of Alzheimer's disease. Previous studies have demonstrated elevated levels of brain cholines in this model, similar to those observed in humans and attributed to increased membrane turnover. Total choline was higher in transgenic animals at baseline, but decreased following mepacrine treatment. Total choline also decreased in wildtype animals following treatment, consistent with the hypothesis that mepacrine reduces PLA2-mediated membrane turnover. Based on this finding, MRS choline measures may also serve as a biomarker for PLA2-mediated inflammatory processes. |
| 3529 | Computer 122
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Association of peripheral inflammation with disrupted brain functional network topology in bipolar disorder |
| Guixian Tang1, Guanmao Chen1, Long Qian2, and Ying Wang1 | ||
1First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Neuroinflammation, fMRI (resting state) This study provided preliminary evidence of the association between disrupted brain functional network topology and neuroinflammation in BD. The current study demonstrated disrupted topological organization in the whole brain and regional connectivity was associated with inflammatory cytokines of the IL-4, IL-8 and IL-10 levels in BD. Moreover, our results indicated that higher IL-4 levels and impaired regional connectivity in the temporal pole may be associated with the severer depressive symptoms in BD. |
| 3530 | Computer 123
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A Fully-Automatic Method to Segment Choroid Plexus in Multiple Sclerosis Using Conventional MRI Sequences |
| Loredana Storelli1, Elisabetta Pagani1, Martina Rubin1,2, Monica Margoni1,2, Maria Assunta Rocca1,2,3, and Massimo Filippi1,2,3,4,5 | ||
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Vita-Salute San Raffaele University, Milan, Italy, 4Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 5Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy |
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Keywords: Multiple Sclerosis, Neuroinflammation Choroid plexus (CP) is a structure of the brain ventricular system that demonstrated an involvement in the inflammatory process of patients with multiple sclerosis (MS). However, its role in the pathophysiology of the disease needs to be further explored but its manual delineation on MRI is time-consuming. In this study, we developed a fully-automatic method to segment CP using 3DT1-weighted and FLAIR MRI sequences. The algorithm proved to be accurate, easy to implement and do not require an initial training phase on huge amount of data, being generalizable and a fast tool to potentially be included in a clinical setting. |
| 3531 | Computer 124
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Dexmedetomidine Administration in a Rat Model of Kaolin-induced Hydrocephalus |
| Meltem Karatas1, Diaa K.A. Yahya2, Merve Ayan3, Sevda Muftuoglu3, Kader Karli Oguz1,4,5, and Halil Kamil Oge2 | ||
1National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 2Department of Neurosurgery, Hacettepe University, Ankara, Turkey, 3Department of Histology and Embryology, Hacettepe University, Ankara, Turkey, 4Department of Radiology, Hacettepe University, Ankara, Turkey, 5Department of Radiology, University of California, Davis, Sacramento, CA, United States |
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Keywords: Neuroinflammation, Translational Studies, Hydrocephalus , dexmedetomidine Hydrocephalus is defined as an abnormal enlargement of cerebral ventricles due to disturbed cerebrospinal fluid (CSF) dynamics. It is characterized by neuroinflammatory processes in the brain parenchyma and CSF, with pathological findings including reactive gliosis, axonal and neuronal damage, and loss of myelin sheaths. The use of anti-inflammatory medications in hydrocephalus may be an effective treatment strategy for neuroprotection. In this study, we used a rat model of hydrocephalus induced by kaolin. We aimed to demonstrate the potential anti-inflammatory and neuroprotective effects of dexmedetomidine on hydrocephalic brains using MRI and morphometric analysis. |
| 3532 | Computer 125
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Quantitative susceptibility source separation improves the reader agreement in the identification of MS paramagnetic rim lesions |
| Emily Demmon1, Susan Gauthier1, Ilhami Kovanlikaya2, Yi Wang2, Alexey Dimov2, Pascal Spincemaille2, and Thanh Nguyen2 | ||
1Department of Neurology, Weill Cornell Medicine, New York City, NY, United States, 2Department of Radiology, Weill Cornell Medicine, New York City, NY, United States |
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Keywords: Multiple Sclerosis, Neuroscience Multiple Sclerosis (MS) is an autoimmune disorder characterized by focal inflammatory demyelination. Paramagnetic rim lesions (PRLs) form an important subset of chronic active MS lesions that show a hypocellular core and persistent glial inflammation and continuing myelin damage at the rim on histopathology. PRLs are a critical clinical target for MS therapy. Our goal in this project is to improve overall detection of PRLs through utilization of quantitative paramagnetic source maps. |
| 3533 | Computer 126
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Novel MRI techniques for the Assessment of Activated Innate Immunity in Progressive Multiple Sclerosis |
| Seong-Eun Kim1, Trieste Francis 2, Ka-Ho Wong 2, John W Rose2, J Scott MacNally1, and M Mateo Paz Soldan 2 | ||
1UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Department of Neurology, University of Utah, Salt Lake City, UT, United States |
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Keywords: Multiple Sclerosis, Molecular Imaging, USPIO While the specific pathologic mechanisms that underpin ongoing axonal loss in progressive forms of MS are not fully characterized, ongoing innate immune activation in chronic MS lesions, particularly activated microglia and macrophages, has been proposed to be a prevailing mechanism of axonal loss in the progressive phase of disease. Ultrasmall superparamagnetic iron oxide particles have been introduced as a potential MRI biomarker for macrophage activity in focal MS lesions. This work presents a Feromoxytol enhanced MRI to measure perilesional activated microglia and macrophages in progressive MS. which is anticipated to reflect risk for ongoing loss of CNS axons and neurons.
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| 3534 | Computer 127
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Nonsusceptibility frequency shift reveals subtypes of multiple sclerosis lesions and predicts 5-year disappearance of paramagnetic rim |
| Thomas Jochmann1,2, Jack A. Reeves2, Fahad Salman2, Dejan Jakimovski2, Simon Hametner3, Maryam Mohebbi2, Niels Bergsland2, Bianca Weinstock-Gutman4, Michael G. Dwyer2, Robert Zivadinov2,5, Jens Haueisen1, and Ferdinand Schweser2,5 | ||
1Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany, 2Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3Department of Neuroimmunology, Medical University of Vienna, Vienna, Austria, 4Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 5Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States |
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Keywords: White Matter, Multiple Sclerosis Multiple sclerosis lesions have different types and stages that are challenging to distinguish by conventional MRI. We recently presented DEEPOLE QUASAR, a reconstruction technique that yields nonsusceptibility frequency maps as a novel MRI contrast. In this study, we translate the novel contrast into a tool for multiple sclerosis lesion assessment. We discuss the time course of nonsusceptibility frequency throughout different lesion stages. Within different paramagnetic rim lesions that are typically indistinguishable by conventional MRI, the nonsusceptibility frequency contrast showed hypo-, iso-, and hyperintense subtypes. At a 5-year follow-up, paramagnetic rims disappeared at significantly different proportions between these subtypes. |
| 3535 | Computer 128
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Whole Brain MRI Reveals that Children with Acute Disseminated Encephalomyelitis have Enlarged Brain Ventricles at Disease Onset |
| Jason Michael Millward1,2, Elias Pilgrim1, Matthias Baumann3, Eva Wendel4, Ines El-Naggar4, Annikki Bertolini4, Frederik Bartels5, Carsten Finke5, Thoralf Niendorf1,2, Kevin Rostásy4, and Sonia Waiczies1,2 | ||
1Berlin Ultrahigh Field Facility, Max Delbruck Center, Berlin, Germany, 2Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Division of Paediatric Neurology, Department of Paediatrics, Medical University of Innsbruck, Innsbruck, Austria, 4Department of Paediatric Neurology, Children's Hospital Datteln, Witten/Herdecke University, Datteln, Germany, 5Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany |
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Keywords: Neuro, Neuroinflammation, acute disseminated encephalomyelitis Pediatric patients with acute disseminated encephalomyelitis (ADEM) are at risk of long-term neurocognitive consequences. We investigated a multi-center cohort of ADEM patients with serial whole brain MRI, to distinguish transient reversible expansion of brain ventricle volume (BVV) from persistent changes. Using the automated brain segmentation tool SynthSeg, we observed that ADEM patients had significantly enlarged BVV relative to sex- and age-matched pediatric control subjects, already at the first clinical presentation, before any steroid treatment. Most ADEM patients developed even greater BVV expansion over the observation period. The majority of patients recovered, though some showed persistent BVV enlargement, suggesting brain atrophy. |
| 3536 | Computer 129
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Evaluation of an Image Contrast-Agnostic Brain MRI Segmentation Tool on a Heterogeneous Pediatric Clinical Cohort |
| Elias Pilgrim1, Wenli Xu1, Hampus Nils Olsson1, Eva Wendel2, Ines El-Naggar2, Annikki Bertolini2, Kevin Rostásy2, Thoralf Niendorf1,3, Sonia Waiczies1,3, and Jason Michael Millward1 | ||
1Berlin Ultrahigh Field Facility, Max Delbruck Center, Berlin, Germany, 2Department of Paediatric Neurology, Children's Hospital Datteln, Witten/Herdecke University, Datteln, Germany, 3Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany |
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Keywords: Neuroinflammation, Segmentation, acute disseminated encephalomyelitis We evaluated the performance of the brain segmentation tool SynthSeg on a heterogeneous multi-center cohort of pediatric patients with acute disseminated encephalomyelitis. Brain MRI of the patient cohort was acquired at multiple field strengths, with a diverse range of image spatial resolutions, MR sequences, contrasts, and w/wo administration of gadolinium-based contrast agent (GBCA). SynthSeg performance was generally robust to resolution and contrast differences, especially for larger brain structures. Significant differences in some calculated volumes were detected upon pair-wise comparisons among patients with high- vs. low resolution scans, T1- vs. T2-weighed scans, and w/wo GBCA application, acquired on the same day. |
| 3537 | Computer 130
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Novel contribution of non-enhanced MRI to neuroradiologists for detecting neuromyelitis optica spectrum disorder-associated optic neuritis |
| Jing Zhang1 and Yali Zhao1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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Keywords: Neuroinflammation, Neuroinflammation The sensitivity of MRI in detecting optic neuritis (ON) including neuromyelitis optica spectrum disorder-associated ON (NMOSD-ON) is inadequate, and the diagnostic criteria have limitations due to inherent defects in signal intensity. In this study, we quantitatively assessed the role of intrathecal cerebrospinal fluid and diameter and curvature of anterior visual pathway in the diagnosis of NMOSD-ON by nomogram using non-enhanced MRI. The altered MRI parameters showed significant associations with visual functional system scores. Our study elucidates the novel contribution of non-enhanced MRI in the detection of NMOSD-ON, which assists to solve the problem of insufficient sensitivity of MRI for ON. |
| 3538 | Computer 131
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Brain MRI lesion heterogeneity and chronic active lesion density identify relapsing-remitting MS 5 years before onset of progressive disease |
| Yunyan Zhang1, Zahra Hosseinpour1, Olayinka Oladosu1, Julia Beaumont1, Chloe Hao1, and Carlos Camara-Lemarroy1 | ||
1University of Calgary, Calgary, AB, Canada |
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Keywords: Multiple Sclerosis, Brain Multiple sclerosis (MS) is a severe and heterogeneous disease. While disease worsening is common, the pattern of worsening varies between subjects. Mechanisms are unclear. This study assessed lesion heterogeneity and chronic active lesion activity in relapsing-remitting MS (RRMS) 5 years before conversion to secondary progressive MS (SPMS) as compared to stable disease. Based on brain MRI texture analysis and z-score of core versus rim diffusion in lesions, SPMS-converting patients have greater lesion damage and chronic active lesion density than stable patients 5 years prior. Combined approaches may help identify RRMS patients at high risk of worsening for early management. |
| 3539 | Computer 132
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Reproducibility of Diffusion Microstructures Over Different Diffusion Gradient Directionalities |
| Apurva Shah1, Jitender Saini2, Pramod Pal3, and Madhura Ingalhalikar1 | ||
1Symbiosis Centre for Medical Image Analysis, Symbiosis International (Deemed University), Pune, India, 2Department of Radiology, National Institutes of Mental Health and Neuroscience, Bengaluru, India, 3National Institutes of Mental Health and Neuroscience, Bengaluru, India |
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Keywords: Neuroinflammation, Brain, Diffusion Imaging, freewater, reliability Medical imaging can offer several clinically valuable biomarkers which require accuracy across the acquiring technologies. Our study investigated the variability and reliability of diffusion microstructures over different diffusion gradient direction schemes, including high angular resolution diffusion imaging sequences and a parallel slice acquisition technique. The study's results demonstrated the 20-directional parallel slice acquisition clinically feasible sequence for standard DTI analysis with less variability and more reliability in matrices, while multishell sequences are more suitable for microstructural and tractography analysis. |
| 3540 | Computer 133
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Biomolecular basis of changes in CEST Z-spectra of rat spinal cord after injury |
| Chaoqi Mu1,2, Jamie L Reed2, Feng Wang2, John C Gore2, and Li Min Chen2 | ||
1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science & Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States |
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Keywords: Spinal Cord, CEST & MT We identified molecular pools of interest using CEST imaging of rats after spinal cord injury (SCI) that correlate with post-SCI behavioral deficits, and which may indicate products of neuroinflammation. Using tissue neurochemical analysis, we isolated analytes of interest and acquired CEST Z-spectra from solutions of the chemicals to elucidate the source of the CEST pool concentration changes. Several candidates present in the tissue samples showed similar (overlapping) Z-spectra around 3.0 ppm. These results suggest that CEST imaging is not specific for identifying concentration changes of individual molecules of interest. |
| 3541 | Computer 134
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¹H fMRS detects changes in dorsal anterior cingulate cortex glutamate driven by inhibitory control |
| Jillian M. Eichstaedt1, Dalal Khatib2, Phil Easter2, David R. Rosenberg2, Vaibhav A. Diwadkar2, and Jeffrey A. Stanley3 | ||
1Translational Neuroscience Program, Wayne State University School of Medicine, Detroit, MI, United States, 2Wayne State University School of Medicine, Detroit, MI, United States, 3Psychiatry and Behavioral Neuroscience, Wayne State University School of Medicine, Detroit, MI, United States |
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Keywords: Psychiatric Disorders, Spectroscopy, Inhibitory Control ¹H fMRS was used to quantify changes in dACC glutamate evoked during excitatory and inhibitory motor control. The two response modes demanded non-selective responding (motor control with excitation) or selective responding (motor control with inhibition). dACC glutamate was significantly increased (relative to a resting baseline), regardless of response mode. These functional responses (uncoupled from hemodynamics) demonstrate that ¹H fMRS can be successfully used to reveal glutamate related mechanisms of the dACC reflecting changes in the excitatory neurotransmission drive. |
| 3542 | Computer 135
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Inhomogeneous Magnetization Transfer (ihMT) of Peripheral Nerve in Patients with Chronic Inflammatory Demyelinating Polyradiculoneuropathy |
| Ryuna Kurosawa1, Hajime Yokota2, Takayuki Sada1, Koji Matsumoto1, Takafumi Yoda1, Masami Yoneyama3, Takashi Namiki3, Guillaume Gilbert4, Yoshitada Masuda1, and Takashi Uno2 | ||
1Department of Radiology, Chiba university hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Canada, Mississauga, ON, Canada |
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Keywords: Neurodegeneration, CEST & MT Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated demyelinating disease. The purpose of this study is to evaluate the usefulness of ihMT in the diagnosis of CIDP by measuring myelin levels using ihMT imaging. ihMTR of the sciatic nerve of CIDP patients was significantly lower than that of the normal subjects. Our finding was compatible with previously reported pathological changes. Myelin imaging by ihMT has the potential to be used as a new biomarker in the diagnosis of CIDP. |
| 3543 | Computer 136
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MRI of Neuroinflammation in the Brain following Meth Addiction using Multiplied, Added, Subtracted and/or Divided (MASDIR) sequences. |
| Paul Condron1,2, Maryam Tayebi1,2, Taylor Emsden1,2, Ben Bristow1,3, Tuta Ngārimu4,5, Patrick McHugh1,6, Gil Newburn1, Davidson Taylor1,7, Samantha Holdsworth1,2, Daniel Cornfeld1,2, Miriam Scadeng1,2, and Graeme Bydder1,8 | ||
1Mātai Medical Research Institute, Gisborne, New Zealand, 2Faculty of Medical and Health Sciences & Centre for Brain Research, Auckland, New Zealand, 3Department of Neuroscience,, University of Otago, Dunedin, New Zealand, 4New Zealand P Pull, Tairāwhiti-Gisborne, New Zealand, 5Ngati Porou, Aotearoa, New Zealand, 6Tūranga Health, Tūranganui-a-kiwa, Gisborne, New Zealand, 7Ngāti Porou, Ngāti Kahungungu, Rongomaiwahine, Rongowhakaata; Tūranganui-a-Kiwa, Tairāwhiti, New Zealand, 8University of California San Diego, San Diego, CA, United States |
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Keywords: Neuroinflammation, Drugs, brain, methamphetamine, white matter hyper intensities Keywords; Neuroinflammation, data acquisition and post processing, contrast mechanisms, white matter, drugs. MR contrast can be enhanced by exploiting the concept of tissue property filters (TPFs) by designing Multiplied, Added, Subtracted, and/or Divided Inversion Recovery (MASDIR) sequences to amplify contrast produced by small changes in white matter T1. The Divided, Subtracted IR (dSIR) sequence provides very high contrast depiction of subtle white matter changes due to disease that are not identified with standard T2-FLAIR imaging. This was demonstrated in patients with a history of methamphetamine addiction. MASDIR sequences could revolutionize the way that neuroinflammation is imaged in clinical practice. |
| 3544 | Computer 137
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Histogram Analysis of Magnetic Resonance Diffusion Imaging in Differentiating Glioma Mimicking Encephalitis from Encephalitis |
| Kai Zhao1, Xiaoyue Ma1, Ankang Gao1, Eryuan Gao1, Jinbo Qi1, Peipei Wang1, Guohua Zhao1, Huiting Zhang2, Guang Yang3, Jie Bai1, Yong Zhang1, and Jingliang Cheng1 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Magnetic Resonance Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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Keywords: Tumors, Tumor, Inflammation Diffusion/Other Diffusion Imaging Techniques Glioma Mimicking Encephalitis is difficult to be differentiated from Encephalitis by conventional MRI. In this study, 18 patients with diagnosed glioma and 15 patients with encephalitis were included. Their DWI images were processed to obtain the histogram of the parameter maps of DKI, DTI, NODDI, and MAP. We use lasso regression to fit the diagnostic models, and the diagnostic performance of different models were compared. We find no significant difference in the AUC between the single and combined diffusion lasso models. Any of the models could be individually used for differentiating glioma mimicking encephalitis from encephalitis. |
| 3545 | Computer 141
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Assessing the effects of hyperpolarized [2-13C]lactate saturation on detectable brain metabolism |
| Adam Autry1, Sana Vaziri1, Hsin-Yu Chen1, Yaewon Kim1, Duey Dang1, Javier Villanueva-Meyer1, Susan M Chang2, Jennifer Clarke2, Nancy A Oberheim-Bush2, Robert Bok1, Duan Xu1, Janine M Lupo1, Daniel B Vigneron1, Jeremy Gordon1, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States |
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Keywords: Gray Matter, Hyperpolarized MR (Non-Gas), metabolism Following hyperpolarized [1-13C]pyruvate MRI studies that demonstrated insights into brain metabolism using saturation experiments, this study sought to assess whether metabolic pathways probed by [2-13C]pyruvate could similarly be interrogated. Our investigation showed that not exciting [2-13C]lactate led to a 2-fold increase in [5-13C]glutamate signal, which may indicate compartmentalized metabolism in the brain. |
| 3546 | Computer 142
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Chasing the Dot: Diffusion-Weighted MR Spectroscopy with Spherical Tensor Encoding |
| André Döring1, Frank Rösler2, Kadir Şimşek1,3, Karl Landheer4, Roland Kreis5,6, Wolfgang Bogner7, and Derek K Jones1 | ||
1Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Department of Mathematics, University of Bern, Bern, Switzerland, 3School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 4Regeneron Pharmaceuticals, Inc. Tarrytown, New York, NY, United States, 5Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University Bern, Bern, Switzerland, 6Translational Imaging Center, sitem-insel, Bern, Switzerland, 7High-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria |
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Keywords: Gray Matter, Spectroscopy, Spherical Tensor Encoding, Diffusion, Metabolites Diffusion-weighted MR spectroscopy (DW-MRS) can measure diffusion properties of cell type-specific and intracellular metabolites. However, for advanced microstructure modeling, diffusion of brain metabolites has to be measured at specific length scales and with specific structural sensitivity. To this end, new diffusion encoding strategies have been developed, but not all have found their ways into DW-MRS. In this work, we fill this gap for spherical-tensor-encoding (STE), providing the first evidence that useful diffusion metrices of human brain metabolites can be quantified by combining DW-MRS, STE, and ultra-strong gradients. |
| 3547 | Computer 143
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Cerebral Blood Flow quantification in anesthetized macaque using pseudo-continuous Arterial Spin Labeling at 3T |
| Leyre Garcia-Ruiz1,2, Karol M. Córdoba3, Daniel Jericó3, Maite Aznárez-Sanado4, Marta Vidorreta5, Antonio Fontanellas3, and Maria A. Fernández-Seara1,2 | ||
1Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 2IdiSNA,Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3Hepatology, CIMA Universidad de Navarra, Pamplona, Spain, 4School of Education and Psychology Universidad de Navarra, Pamplona, Spain, 5Siemens Healthcare, Madrid, Spain |
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Keywords: Gray Matter, Arterial spin labelling, Animal, Preclinical, White Matter A pseudo-continuous arterial spin labeling (pCASL) technique was implemented on a Siemens 3T Skyra for quantitative cerebral blood flow (CBF) measurements in non-human primates (rhesus monkeys). Different regions were manually segmented based on T1 weighted images. ASL images were obtained in 10 min with 2.2-mm isotropic resolution. Whole brain CBF was 32.40±14.61 ml/100g/min (n=8) for female and 44.28±24.61 ml/100 g/min for male (n=4) rhesus monkeys under ketamine and midazolam anesthesia. Gender differences of CBF among brain regions will be address in this study. |
| 3548 | Computer 144
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Fiber-specific modelling in spherical deconvolution |
| Alberto De Luca1 and Alexander Leemans1 | ||
1Division Imaging and Oncology, University Medical Center Utrecht, Utrecht, Netherlands |
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Keywords: Gray Matter, Tractography & Fibre Modelling Spherical deconvolution is commonly employed to reconstruct fiber orientations distributions with brain diffusion MRI. A key assumption in spherical deconvolution is that all brain fibers share the same microstructural properties. This is unlikely the case in white matter, but even more so in grey matter. Here, we propose a novel framework to perform spherical deconvolution with fiber specific models. As such, this framework allows to quantify diffusion properties associated to each fiber orientation. In this work, we showcase the application of this framework to investigate the organization of the brain cortex high resolution diffusion MRI data. |
| 3549 | Computer 145
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Mapping extraversion in brain activation patterns: a functional neuroimaging meta-analysis of resting state studies |
| Qingyuan Li1,2,3,4, Song Wang2,3,4, Xiao Li1, and Qiyong Gong3,5 | ||
1Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China, 2Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, 3Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 4Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China, 5Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China |
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Keywords: Gray Matter, Brain Our meta-analysis reveals that extraversion was linked with resting-state brain activity differences widely distributed across cortical and subcortical regions involved in emotion and behavioral regulation. The meta-regression results suggest an effect of gender on the association between extraversion and neural activity in the right inferior frontal gyrus. Our findings support that extraversion could lead to neural activity changes, which may be correlated with behavioral differences between extraverts and introverts. |
| 3550 | Computer 146
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Brain morphological alterations in patients with lung cancer after chemotherapy |
| Liu Renyuan1, Rong Ping1, Han Xiaowei1, and Zhang Bing1 | ||
1Radiology, Drum Tower hospital, Nanjing, China |
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Keywords: Gray Matter, Cancer The pathophysiological and biochemical effects of lung cancer and chemotherapy would result in abnormal alterations of brain morphometry. In particular, chemotherapy could endanger critical cognition-related subcortical nucleus, such as amygdala. |
| 3551 | Computer 147
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Segmentation of Substantia Nigra, Subthalamic and Red Nuclei with a Multi-Modal Quantitative 7T MRI High Resolution Template |
| Alexandre CABANE1,2, Arnaud LE TROTER1,2, Benoit TESTUD1,2, Stephan GRIMALDI1,2, Maxim GUYE1,2, Jean Philippe RANJEVA1,2, and Ludovic DE ROCHEFORT1,2 | ||
1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2AP-HM, CHU Timone, CEMEREM, Marseille, France |
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Keywords: Gray Matter, Quantitative Susceptibility mapping, T1, high-resolution multi-modal template The segmentation of brain substructures is very useful in the characterization of alterations involved in multiple diseases. From 200 7T brain MRI scan including MP2RAGE and MGRE used to generate quantitative T1 maps (qT1), R2* and QSM volumes, a pipeline was developed to create a high-resolution multi-modal template at (400 µm)3 based on these multiple quantitative imaging modalities. Preliminary results show that multi-modality allows for a more precise parcellation of the SN, RN and STH substructures. |
| 3552 | Computer 148
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Altered patterns of brain iron deposition in end-stage renal disease patients with depression |
| Yuan Li1, Yuhan Jiang1, Bingbing Gao1, Mingrui Qu1, Liangjie Lin2, Qingwei Song1, and Yanwei Miao1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Keywords: Gray Matter, Kidney Both depression and end-stage renal disease (ESRD) may affect the pattern of iron deposition in human brain. This study aimed to quantify the changes of brain iron deposition in ESRD patients with and without depression using quantitative susceptibility mapping, and to further explore the effect of depression on iron deposition pattern in ESRD patients. Results showed that ESRD patients had increased brain iron deposition compared with heathy controls, especially in the left putamen and the right red nucleus, and ESRD patients with depression had less increase in iron deposition than those without depression. |
| 3553 | Computer 149
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Reveal cortical abnormalities by quantitative synthetic MRI in children with beta-thalassemia |
| Meiru Bu1, Xi Deng1, Lingling Shi2, Wei Cui3, Long Qian3, Zisan Zeng1, and Muliang Jiang1 | ||
1Radiology Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Hematology Department of The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Gray Matter, Blood, Beta-thalassemia Beta-thalassemia (β-TM) is a chronic blood disorder presenting with severe anemia. However, the abnormalities of microstructure in cortical regions are still unclear. Herein, we explored the difference of quantitative MRI parameters in gray matter between β-TM patients and healthy controls. The results showed that altered T1 and T2 values in specific gray matter in β-TM patients, which may be associated with alteration in brain gray matter, such as reduced myelin content and excessive iron deposition. Thus, T1 and T2 quantitative variables may be promising imaging markers for further exploring the pathophysiological mechanisms of β-TM. |
| 3554 | Computer 150
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Altered cortical susceptibility heterogeneity in patients with beta-thalassemia |
| Meiru Bu1, Xi Deng1, Lingling Shi2, Wei Cui3, Long Qian3, Zisan Zeng1, and Muliang Jiang1 | ||
1Radiology Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Hematology Department of The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Gray Matter, Blood, Beta-thalassemia Beta-thalassemia (β-TM) is an inherited blood disorder that causes the body to make less hemoglobin. In this study, we examined altered cortical susceptibility heterogeneity in patients with β-TM vs. healthy controls using magnetic resonance imaging (MRI). For the altered regions of susceptibility heterogeneities in the β-TM group, an increase was only found in the left hippocampus, while decreased heterogeneities were observed for all other regions located in the frontal and temporal lobes. Thus, we concluded that susceptibility heterogeneities could reveal the β-TM-affecting regions. |
| 3555 | Computer 151
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T2 heterogeneity of cortex in patients with beta-thalassemia major |
| Xi Deng1, Meiru Bu1, Meiqing Wu2, Wei Cui3, Long Qian3, Zisan Zeng1, and Muliang Jiang1 | ||
1Radiology Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Hematology Department of The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 3MR Research, GE Healthcare, Beijing, China, Beijing, China |
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Keywords: Gray Matter, Blood, Beta-thalassemia; T2 heterogeneity; Beta-thalassemia (β-TM) is an inherited blood disorder with severe anemia. In this study, we investigated alterations of T2 heterogeneity in cortical regions caused by β-TM using magnetic resonance imaging (MRI). Compared with healthy controls, β-TM patients showed increased T2 heterogeneities in bilateral inferior orbitofrontal, left calcarine, left cuneus and left superior occipital lobe, while no decreased T2 heterogeneity was observed. Thus, we concluded that T2 heterogeneities could reveal the β-TM-affecting T2 alterations in brain. |
| 3556 | Computer 152
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Transcriptional signatures underpinnings of altered large-scale functional connectome hierarchy in patients with IBS |
| Jun Wang1,2, Guangyao Liu2,3, Pengfei Zhang1, Wenjing Huang1, Kai Ai4, and Jing Zhang2,3 | ||
1Second Clinical School, Lanzhou University, Lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou University Second Hospital, Lanzhou, China, 4Department of clinical science, Philips Healthcare, Xi’an, China |
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Keywords: Gray Matter, fMRI (resting state) Functional connectivity is altered in patients with irritable bowel syndrome (IBS), but its histological basis is unknown. We used resting-state fMRI imaging combined with transcriptomics to examine changes in functional connectivity gradients in IBS patients and their corresponding gene regulatory basis. The reduced connectivity gradients and contractions in IBS patients compared to healthy controls were mainly involved in primary sensory and cross-modal structural domains and were associated with aberrant expression of genes related to neurological development. These results reveal gradient dysfunction of large-scale functional connectomes in IBS and elucidate the role of abnormal gene-function connectivity in the disease. |
| 3557 | Computer 153
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OPTICS STUDY: INTRACRANIAL EFFECTS OF STATIC LOWER BODY NEGATIVE PRESSURE WITH HEAD DOWN TILT BED REST: COMPARISON TO UPRIGHT POSTURE |
| Larry A. Kramer1, Khader M Hasan1, Lindsey Bishop2, Xu Zhang3, Karina Marshall-Goebel4, Brandon Macias5, Steven S Laurie6, and Bryn Martin7,8 | ||
1Diagnostic Imaging and Intervention, University of Texas Health Science Center at Houston, Houston, TX, United States, 2University of Texas Health Science Center at Houston, Houston, TX, United States, 3Clinical and Translational Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States, 4Karina Marshall-Goebel, NASA, Houston, TX, United States, 5NASA, Houston, TX, United States, 6KBR, Houston, TX, United States, 7Acyonetx, Moscow, ID, United States, 8Chemical and Biological Engineering, University of Idaho, Moscow, ID, United States |
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Keywords: Blood vessels, Quantitative Imaging, Microgravity, Head down tilt, Spaceflight Associated Neuro-ocular Syndrome Lower body negative pressure applied a total of 6 hours daily during 29 days of head down tilt bed rest shows promise as a countermeasure to spaceflight acquired neuro-ocular syndrome. |
| 3558 | Computer 154
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Visualization of Deep Brain Stimulation Targets at 0.5T |
| Chad Harris1, Andrew Curtis1, Curtis Wiens1, Jurgen Germann2,3, Alexandre Boutet2,3, Andres M Lozano2,3, and Jeff Stainsby1 | ||
1MR, Synaptive Medical, Toronto, ON, Canada, 2University Health Network, Toronto, ON, Canada, 3University of Toronto, Toronto, ON, Canada |
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Keywords: Epilepsy, Contrast Mechanisms The utility of visualizing deep brain stimulation targets at 0.5T was explored. 3D SWI images show direct visualization of the subthalamic nuclei and surrounding iron-rich structures. With the excellent gray-white matter contrast possible at mid-field, 3D T1-weighted imaging can directly visualize the globus pallidus interna. The elevated T1 contrast produces excellent 3D T1-weighted imaging at multiple inversion times which are suitable for, and aid in, atlas-based segmentation approaches for DBS targeting. |
| 3559 | Computer 155
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Stereotactic MRI-guided radiosurgery using AI resting state networks recognition |
| Luis Ancari1, Abril Vergne2,3, María Paula Del Popolo2,3,4, Guillermo Alvarez3, Clara Lisazo3, Federico Julián González1,3, Sebastián Moguilner5, Maximo Melchor2,3, Trinidad González3,6, and Daniel Fino1,3,4 | ||
1Instituto Balseiro, Universidad Nacional de Cuyo, Bariloche, Argentina, 2Universidad de Mendoza, Mendoza, Argentina, 3Fundación Escuela de Medicina Nuclear, Mendoza, Argentina, 4Fundacion Argentina para el Desarollo en Salud, Mendoza, Argentina, 5Harvard Medical School, Boston, MA, United States, 6Fundación Argentina para el Desarrollo en Salud, Mendoza, Argentina |
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Keywords: Tumors, Radiotherapy Stereotactic radiosurgery (SRS) is a minimally invasive procedure that reduces tumor size without subjecting surrounding organs at risk (OAR) to harmful radiation levels. The delimitation of OAR in SRS planning, and the conservation of the prescribed dose in tumoral regions, can be improved by the implementation of independent component analysis to obtain resting-state fMRI networks (RSNs). In this aspect, AI plays an important role to decrease computational-processing times while increasing the method’s efficiency. One of the main solved challenges was the lack of compatibility between the Nifti protocol (RSNs format) and the treatment planning system’s protocol (coordinate system of CT-simulation). |
| 3560 | Computer 156
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A Multimodal Atlas of the Human Cerebellum at 760 μm Resolution |
| Wenjiao Lyu1, Ye Wu1, Khoi Minh Huynh1, Sahar Ahmad1, and Pew-Thian Yap1 | ||
1Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States |
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Keywords: Multimodal, Multimodal, Cerebellum; atlas; The human cerebellum is engaged in a broad array of tasks related to motor coordination, cognition, and emotional regulation. Here, we construct a cerebellar atlas using high-resolution multimodal MRI, capturing multiple characteristics of the cerebellum, including cortical morphology, tissue microstructure, and cerebellar/cerebello-cerebral connectivity. Our atlas facilitates the understanding of the neurodevelopment and neurodegeneration of the cerebellum. |
| 3561 | Computer 157
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Brain structures of a human embryo depicted by MR microscopy with different contrasts |
| Kazuki Kunieda1, Kazuyuki Makihara1, Shigehito Yamada2, and Yasuhiko Terada1 | ||
1Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan, 2Congenital Anomaly Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Keywords: Brain Connectivity, Microstructure Brain structures of human embryos are several tens of micrometers in size, and MR microscopy is essential for elucidating human embryos. However, conventional fast T1-weighted imaging could not delineate some critical structures. In this study, T1, T2, and T2* values were measured to simulate the contrast of each tissue of the human embryo brain, and MR images were acquired at the extremely high resolution of (30 μm)3 using pulse sequences that emphasized the contrast difference in the brain structures. This technique would unveil the three-dimensional microstructure and developmental process of the brain’s central nervous system in its early stages. |
| 3562 | Computer 158
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Cortical Sulcus Depth Alterations in Patients with Tinnitus Before and After Sound Therapy: A Surface-Based Morphometry Study. |
| Xuan Wei1 | ||
1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China |
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Keywords: Head & Neck/ENT, Treatment In this study, we performed brain surface-based morphometry to evaluate changes in sulcal depth after sound therapy in patients with idiopathic tinnitus. Our results showed thatsulcal depth was signiêcantly reduced in the left medial temporal cortex (MTC) and right somatosensory and motor cortex (SMC) of patients with tinnitus compared to the healthycontrols, but increased signiêcantly at 24 weeks after sound therapy. Therefore, sulcal depth in the auditory sensory regions of the brain is a potential neuroimaging biomarker forevaluating treatment eìcacy in tinnitus patients. |
| 3563 | Computer 159
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Disrupted Functional Connectivity of the Visual Cortex in Dysthyroid Optic Neuropathy Due to Thyroid-Associated Ophthalmopathy |
| Ping Liu1, Gui-Hua Jiang1, and Wan-Yi Zheng2 | ||
1Medical Imaging, Guangdong Second Pronvincal General Hospital, Guang Zhou, China, 2Jinan university, Guang Zhou, China |
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Keywords: Head & Neck/ENT, Neuro, dysthyroid optic neuropathy,thyroid-associated ophthalmopathy Dysthyroid optic neuropathy (DON) due to thyroid-associated ophthalmopathy (TAO) is characterized by visual dysfunction and with a risk of blindness. Visual cortex is crucial for visual information, and visual impairments can affect brain activity. We investigated visual cortex functional connectivity (FC) alterations in DON and its associations with visual performance. The DON showed disrupted FC in the visual cortex, and the FC in primary rather than the secondary visual cortex associated with clinical parameters. It helps to uncover the neurological mechanisms underlying visual dysfunction and provides insight into novel therapeutic regimens to slow or prevent the neuropathy. |
| 3564 | Computer 160
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Maternal neural and behavioral sensitivity to baby emotional sounds |
| Jiayu Lin1, Wei Su1, Xiaoyu Du2, Zhenhua Sun3, Xiang Zhang4, Kaihua Zhang1, and Xiaoxia Du5 | ||
1School of Psychology, Shandong Normal University, Ji’nan, Shandong, P. R. China, Jinan, China, 2The University of Melbourne, Victoria, Australia, 3Linyi University, Linyi, China, 4Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China, 5Shanghai University of Sport, Shanghai, China |
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Keywords: Head & Neck/ENT, fMRI (task based) After giving birth, women will experience a series of physiological and psychological changes. Exploring the changes in postpartum women's neurological function contributes to comprehending their cognitive and emotional processing mechanisms. Therefore, we recruited 43 new mothers and 26 nulliparous women to participate in the current fMRI study based on the baby sounds’ task. Results suggested that the brain function of new mothers showed dynamic plasticity in the temporal lobe. This study reflected the adaptive changes in new mothers' brain function toward nurturing the babies. |
| 4751 | Computer 161
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Microstructural Alterations in Schizophrenia evaluated by Multidimensional Diffusion MRI and Inhomogeneous Magnetization Transfer Imaging |
| Khin Khin Tha1, Maho Kitagawa2, Samo Lasic3, Karin Bryskhe3, Jihun Kwon4, Marteen Versluis5, and Naoki Hashimoto6 | ||
1Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Japan, 2Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School for Biomedical Science and Engineering, Sapporo, Japan, 3Random Walk Imaging, Lund, Sweden, 4Philips Japan, Tokyo, Japan, 5Philips Healthcare, Best, Netherlands, 6Department of Psychiatry, Hokkaido University Faculty of Medicine, Sapporo, Japan |
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Keywords: Psychiatric Disorders, Diffusion/other diffusion imaging techniques, schizophrenia, multidimensional diffusion This prospective study aimed to identify the role of multidimensional diffusion (MDD) MRI and inhomogeneous magnetization transfer (ihMT) imaging, the former reported as capable of quantifying various microstructural diffusion properties and differentiating tissue-specific subparts and the latter as selective to changes in myelin, in underpinning the microstructural brain changes in schizophrenia. Alterations in MDD MRI indices were observed, associated with negative symptoms of schizophrenia. Altered size and shape of cells other than myelin (probably glia or neurons) are thought as coined in the pathophysiological mechanisms. |
| 4752 | Computer 162
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Reduction of Hippocampal Subfield Volumes in Treatment-Resistant Depression using ASHS: A 7-Tesla Study |
| Judy Alper1, Gaurav Verma1, Shams Rashid1, and Priti Balchandani1 | ||
1Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Keywords: Psychiatric Disorders, High-Field MRI Major depressive disorder has complex pathophysiology. It is critical to understand treatment-resistant depression (TRD) specifically, as there are many patients for whom no sufficient treatment exists. In this study we assess volumetric differences in hippocampal subfields between TRD patients and healthy controls (HC) using automatic segmentation of hippocampal subfields and ultra-high field MRI. 13 TRD patients and 13 HC underwent imaging using 7-Tesla MRI. ASHS software produced automated hippocampal segmentation for volumetric analysis. Compared to HC, TRD patients showed reduced right-hemisphere CA2/3 subfield volume. Determining biomarkers for TRD pathophysiology may elucidate the underlying mechanisms of treatment-resistant depression. |
| 4753 | Computer 163
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Surface-based morphometric abnormalities in patients with early psychosis: an MP2RAGE-based study at 7T |
| Zirun Wang1, Yasser Alemán Gómez2, Martine Cleusix2, Raoul Jenni2, Luis Alameda2, Philippe Conus3, Merixell Bach Cuadra4,5, Patric Hagmann6, Kim Q. Do2, and Lijing Xin1 | ||
1Animal imaging and technology core (AIT), Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 2Department of Psychiatry, Center for Psychiatric Neuroscience, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Service of General Psychiatry, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Radiology Department, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 6Diagnostic Neuroradiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, Early psychosis, First-episode schizophrenia This study aims to investigate brain cortex alterations in early psychosis patients (n = 42) compared to healthy control subjects (n=35). Surface-based morphometric analysis using MP2RAGE images at 7T revealed significant clusters (corrected p<0.05) where the cortical area and cortex volume in early psychosis patients are reduced compared to healthy controls at the junction of lateral occipital, lingual and peri calcarine region at left hemisphere after permutation multiple comparison correction. Bilateral cortical areas, thickness, and volumes of the patients were reported to be changed at the surface vertex level. |
| 4754 | Computer 164
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White and Grey Matter Microstructure Alterations in Early Psychosis and Schizophrenia |
| Tommaso Pavan1,2, Yasser Alemán-Gómez1,2, Raoul Jenni2,3, Martine Cleusix2,3, Luis Alameda2,4, Kim Quang Do Cuenod2,3, Philippe Conus2,4, Paul Klauser2,5, Patric Hagmann1,2, and Ileana Jelescu1,2 | ||
1Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2University of Lausanne (UNIL), Lausanne, Switzerland, 3Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 4General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital (CHUV), Lausanne, Switzerland, 5Center for Psychiatric Neuroscience and Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland |
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Keywords: Psychiatric Disorders, Microstructure, Schizophrenia, Neuroinflammation, Neurodegeneration, Microstructure, Diffusion, White Matter, Grey Matter In schizophrenia, widespread brain abnormalities are commonly reported but not the microstructure alterations. Here, we investigate brain microstructure during early psychosis and schizophrenia using DKI (in GM & WM), a clinically feasible extension of DTI, and we apply the White Matter Tract Integrity – Watson (WMTI-W, WM only) model. In WM, extensive alterations, consistent with demyelination, were found in early psychosis, while transitioning to chronic schizophrenia, microstructure changes become region-specific as indicated by the two ROI-dependent trends of disease progression found in this cohort. GM showed increased diffusivities and decreased kurtosis, but not widespread as in WM. |
| 4755 | Computer 165
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A pilot study of brain glutamine levels in schizophrenia and control subjects: relationship to blood ammonia and cognition |
| Peter B Barker1, Cykyra B Thomas1, Dillip K Senapati1, İpek B Özdemir1, Semra Etyemez2, Mark B Yoon1, Vidya B Kamath1, and Jennifer M Coughlin1 | ||
1JHU SOM, Baltimore, MD, United States, 2Obstetrics & Gynecology, Weill Cornell Medicine, New York, NY, United States |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, 7T, MRS, Schizophrenia, Metabolism, Glutamine It has previously been shown that brain glutamine (Gln) may be elevated is some patients with schizophrenia (Sz), and associated with cognitive deficits. Underlying causes of Gln elevation in Sz are unclear, but may be related to increased blood ammonia (NH3) levels. Brain Gln was measured in 12 subjects (5 Sz, 7 healthy controls (HC)) using 7T MR spectroscopy; brain Gln was found to correlate with blood NH3 levels (p < 0.05). and negatively correlate with measures of cognitive performance. This preliminary study therefore supports the hypothesis linking blood ammonia, brain Gln and cognitive performance. |
| 4756 | Computer 166
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Neuroimaging biomarkers for detecting schizophrenia: a resting-state functional MRI-based radiomics analysis |
| Dafa Shi1, Haoran Zhang1, Guangsong Wang1, Xiang Yao1, Yanfei Li1, Siyuan Wang1, and Ke Ren1 | ||
1Department of Radiology, Xiang’an Hospital of Xiamen Uneversity,School of Medicine, Xiamen University, Xiamen, China |
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Keywords: Psychiatric Disorders, fMRI (resting state) Quantifiable biomarkers are urgently required to explore the potential physiological mechanism of schizophrenia and improve its diagnostic accuracy. Resting-state functional MRI (rs-fMRI)-based radiomics analysis obtained great classification performance, and it could be generalized to different brain atlases. The regions that we identified as discriminative features mainly included bilateral dorsal caudate and front-parietal, somato-motor, limbic, and default mode networks. Our findings showed that radiomics-based machine learning method could facilitate us to understand the potential pathological mechanism of schizophrenia more comprehensively and contribute to the accurate diagnosis of patients with schizophrenia. |
| 4757 | WITHDRAWN |
| 4758 | Computer 167
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Quantitative Susceptibility Mapping and Polygenic Risk Scores in subjects with unusual and psychotic experiences obtained from the UK Biobank |
| Marisleydis Garcia-Saborit1,2,3, Carlos Milovic3,4, Camilo Villaman5, Eduardo Perez-Palma6, Gabriela Repetto6, Nicolas Crossley3,7, and Cristian Tejos1,2,3 | ||
1Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 2Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile, 3Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile, 4School of Electrical Engineering, Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile, 5Center for Genomics and Bioinformatics, School of Sciences, Universidad Mayor, Santiago, Chile, 6Center for Genetics and Genomics, School of Medicine, Clinica Alemana Universidad del Desarrollo, Santiago, Chile, 7Department of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile |
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Keywords: Psychiatric Disorders, Brain, dopamine, neuromelanin, genetics We evaluated a cohort of subject with unusual and psychotic experiences and control subjects obtained from the UK Biobank, and we studied the relationship between susceptibility (QSM) in deep brain nuclei and polygenic risk scores (PRS) of genetic variants associated to psychosis. Although we found significant differences between patients and controls for QSM and PRS, we did not find any relationship between these two variables. |
| 4759 | Computer 168
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Disrupted striatum-centered tracts and positive symptoms in schizophrenia patients |
| Yuanqiang Zhu1, Chen Wang1, Fan Guo1, and Yingjuan Chang1 | ||
1Air Force Medical University, Xi'an, China |
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Keywords: Psychiatric Disorders, Neuroscience Stronger tract strengths of the bilateral striatum with dlPFC were detected in schizophrenia patients. Our result provided system-level insights into abnormal connectivity strength of striatal circuits in schizophrenia patients. And the strength might have potential as neuroimaging biomarkers for positive symptoms. |
| 4760 | Computer 169
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Altered cerebellar GABA-mediated cerebral functional networks in patients with schizophrenia: A transcranial magnetic stimulation study |
| Chenyang Yao1,2, Youjin Zhao1,2, Kai Ai3, Bo Zhang4, and Lui Su1,2,5 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China, 3Philips Healthcare, Xi'an, China, 4Mental Health Center, West China Hospital of Sichuan University, Chengdu, China, 5Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu, China |
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Keywords: Psychiatric Disorders, Neuroscience, schizophrenia, cerebellum, gamma-aminobutyric acid (GABA) To investigate the cerebellar GABA-mediated cerebral functional networks, we measured cerebellar basal and stimulus-activated GABA content in schizophrenia patients (SCZ) and healthy controls (HC) with cerebellar transcranial magnetic stimulation (TMS). We utilized graph theory to calculate global and regional property changes of cerebral functional networks and their correlations with cerebellar GABA at baseline and after TMS. The results show significant increase of the global efficiency, nodal clustering coefficient of left ventral attention network (VAN) after TMS in SCZ. This provides new molecular evidence for neuropathology of cerebellum dysfunction in SCZ and reveal potential interaction with cerebral functional networks. |
| 4761 | Computer 170
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Alternations of Brain Local Cortical Thickness in Adult Schizophrenia: A Surface-Based Morphometry Meta-Analysis |
| Shilin Sun1, Shu Xiao1, Jiaying Gong2, Guixian Tang1, Long Qian3, and Ying Wang1 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2Department of Radiology, Six Afliated Hospital of Sun Yat-sen University, Guangzhou, China, 3MR Research, GE Healthcare, Beijing, China |
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Keywords: Psychiatric Disorders, Brain, Schizophrenia; Cortical thickness; Surface-based morphometry; Meta-Analysis Numerous neuroimaging studies have revealed abnormalities in specific brain regions in schizophrenia (SCZ), but results have been inconsistent. We conducted a whole-brain meta-analysis on surface-based morphometry studies between patients with SCZ and healthy controls by using the Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) software. The meta-analysis demonstrated that SCZ exhibits abnormalities in cortical thickness in the inferior frontal gyrus, insula, and superior temporal gyrus. The results expand the current understanding of cortical thickness abnormalities in patients with SCZ, which would provide promising targets for therapeutic intervention. |
| 4762 | Computer 171
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An analysis of longitudinal changes in dynamic brain activity with MHE patients treated initially with artificial livers: A follow-up fMRI study |
| Jiarui Zheng1, Xueying Huang2, Yuhui Xiong3, Wenfu Ma1, and Xiaodong Wang2 | ||
1Ningxia Medical University, Ningxia, China, 2General Hospital of Ningxia Medical University, Ningxia, China, 3GE Healthcare MR Research, Beijing, China, Beijing, China |
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Keywords: Psychiatric Disorders, Brain, Minimal hepatic encephalopathy cognition Artificial liver support is an increasingly important intermediate step in the treatment of patients with liver failure. Yet there is still a lack of imaging studies to evaluate the efficacy of artificial liver support (especially on cognitive function of MHE). This study sought to evaluate the temporal variability of ReHo in the brain spontaneous activity after artificial liver support and correlated it with the PHES.We found that the dReHo in the right superior frontal gyrus decreased and were negatively correlated with NCT-A and positively correlated with DST.Dynamic regional indexes might be a novel neuro-imaging biomarker for artificial liver efficacy evaluation. |
| 4763 | Computer 172
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HYPOTHALAMIC VOLUME IS ASSOCIATED WITH BODY MASS INDEX |
| Stephanie S. G. Brown1, Margaret Westwater2, Jakob Seidlitz3, Hisham Ziauddeen1, and Paul Fletcher1 | ||
1Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 2University of Oxford, Oxford, United Kingdom, 3University Pennsylvania, Philadelphia, PA, United States |
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Keywords: Psychiatric Disorders, Segmentation, OBESITY The hypothalamus plays a major role in appetite regulation via well-defined orexigenic and anorexigenic pathways. Perturbation of these pathways is known to alter feeding behaviour and body mass. Using an automated technique, we segmented the hypothalamus in 1299 young adults with variation in body mass index (BMI). We showed that in participants who were overweight or obese, the hypothalamus and constituent nuclei were significantly increased in volume compared to those of a healthy weight. Further, these volume increases are predominantly localised to the arcuate and paraventricular nuclei, which form the core of the neuroendocrine appetite maintenance system. |
| 4764 | Computer 173
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The selfish brain – Unaltered brain temperature in the acute state of Anorexia Nervosa |
| Arne Doose1, Alexander P. Lin2, Tyler Chazan Starr2, Katherine M. Breedlove2, Jennifer Linn3, and Stefan Ehrlich1,4 | ||
1Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany, Dresden, Germany, 2Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA 02115, Boston, MA, United States, 3Institute of Diagnostic and Interventional Neuroradiology, University Hospital Carl Gustav Carus, Technical University, Dresden, Dresden, Germany, Dresden, Germany, 4Eating Disorder Research and Treatment Center, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany, Dresden, Germany |
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Keywords: Psychiatric Disorders, Spectroscopy, Brain temperature In anorexia nervosa (AN) restrictive food intake leads to a slowed metabolism. Brain temperature, can provide information about brain metabolism. Difference between Magnetic Resonance Spectrum peaks (ΔH20-NAA) provide a proxy for brain temperature in 30 AN and 30 healthy control (HC) participants. We found no group differences in brain temperature between AN/HC. Further, we report no group differences in brain temperature between a subgroup of the AN participants with the lowest BMI/body temperature compared to a subsample with higher BMI/body temperature. The results suggest a prioritization of brain metabolism in AN in line with the selfish brain hypothesis. |
| 4765 | Computer 174
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Cerebral haemodynamic correlates of altered consciousness states induced by High-ventilation breathwork |
| Balázs Örzsik1,2, Amy Kartar2, Toru Horinouchi2, Samira Bouyagoub2, Brittany Anderson3, Duncan Bailey4, Hugo Critchley2, Yoko Nagai2, Iris Asllani2,5, and Alessandro Colasanti2 | ||
1Radiology, Leiden Univeristy Medical Center, Leiden, Netherlands, 2Brighton and Sussex Medical School, Brighton, United Kingdom, 3Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 4Brighton BodyTalk, Brighton, United Kingdom, 5Rochester Institute of Technology, Rochester, NY, United States |
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Keywords: Psychiatric Disorders, Perfusion ‘Breathwork’ is pursued by a rapidly growing set of adherents, anecdotally because it evokes psychedelic experiences that positively effect mood. We measured regional cerebral blood flow (rCBF) during high-ventilation breathwork (HVB) in healthy participants. Furthermore, we assessed the relationship between rCBF changes and subjective experience, focusing on altered state of consciousness. HVB was associated with substantial global reduction in CBF. Moreover, reduction in rCBF in anterior cingulate and insular cortices scaled with intensity of subjective experiences. These brain regions are implicated in supporting interoceptive control underlying affective regulation. Understanding the neural effects of HVB can inform new clinical applications. |
| 4766 | Computer 175
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Investigation of nonuniform bias field in quantitative analysis of neuromelanin-sensitive MR imaging |
| Junghwa Kang1, Tea Young Lee2, and Yoonho Nam1 | ||
1Department of Biomedical engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of, 2Department of Neuropsychiatry, Pusan National University Yangsan Hospital, Yangsan, Korea, Republic of |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, neuromelanin, bias field correction Neuromelanin-sensitive MR imaging is an indirect method for assessing dopamine function. However, quantitative and objective analysis of NM-MRI is difficult because of field inhomogeneities or motion artifacts. To investigate the effect of nonunifrom bias field on quantitative analysis in NM-MRI, synthesized random bias fields were multiplied and compared the quantitative analysis using SN ROIs and reference ROIs. The results show a weak nonuniform bias field can reduce the reliability of quantitative analysis. |
| 4767 | Computer 176
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Assessing the Effect of Selective Serotonin Reuptake Inhibitor on GABA and Neurometabolic Levels in the Brains of Violent Offenders: A Pilot Study |
| Oun Al-iedani1,2, James Brown-Miles2, Jameen Arm2, Tony Butler3, Shiami Luchow2, Claudia Hillenbrand4, Peter W Schofield5, and Saadallah Ramadan2,6 | ||
1School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 2Hunter Medical Research Institute, New Lambton Heights, Australia, 3School of Population Health, UNSW, Sydney, Australia, 4Research Imaging New South Wales, Division of Research & Enterprise, UNSW, Sydney, Australia, 5School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia, 6School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia |
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Keywords: Psychiatric Disorders, Brain Despite GABA implication in the regulation of aggression, the effects of selective serotonin reuptake inhibitor (SSRI) on GABA and Glx in an impulsive-aggressive population is yet to be explored. Seven repeat-offenders were treated with Sertraline and underwent MRI/MRS scans pre- and post-treatment (3-4 weeks of treatment). No significant changes (p≥0.05) in ACC-GABA+ or ACC-Glx were reported. Significant reduction in ACC-Glx/tCr (p=0.02) and increase in ACC-NAA (p=0.05) were found, while MM09+L09 increase approached significance (p=0.06). Further investigation is warranted. SSRIs clearly exert secondary effects on Glx levels in the ACC, with possible effects on NAA and MM09+L09. |
| 4768 | Computer 177
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Regional dynamic brain function changes in adults with autism spectrum disorder |
| Xipeng Yue1, Yu Shen1, Ying Li2, Ge Zhang1, Xiaochen Li1, Wei Wei1, Yan Bai1, Jiapei Xie1, Xinhui Wang1, Zhi Luo1, Xianchang Zhang3, and Meiyun Wang*1,4 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital, ZhengZhou, China, 2Department of Rehabilitation Medicine, Henan Provincial People’s Hospital, ZhengZhou, China, 3MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 4Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, ZhengZhou, China |
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Keywords: Psychiatric Disorders, fMRI (resting state) Most neuroimaging studies investigating autism spectrum disorder (ASD) have focused on static brain function and used children as research subjects. However, this study investigated dynamic changes of regional neural function in adult ASD patients. Significant differences in dynamic regional homogeneity (dReHo) and dynamic amplitude of low-frequency fluctuation (dALFF) were observed based on resting state fMRI in several brain areas, such as the left middle/inferior temporal gyrus and left middle occipital gyrus. A significant correlation was found between clinical scores and the dReHo/dALFF values. These results suggested that dynamic regional brain function might be helpful in understanding neural mechanisms in ASD . |
| 4769 | Computer 178
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Neuromelanin Imaging at 0.5T Reveals Elongated T1 in Neuromelanin-Rich Brain Regions In Vivo |
| Jeff Stainsby1, Andrew Curtis1, Sofia Chavez1, and Chad Harris1 | ||
1MR, Synaptive Medical, Toronto, ON, Canada |
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Keywords: Psychiatric Disorders, Contrast Mechanisms, Neuromelanin Mid-field imaging benefits from increased T1 tissue differentiation and reduced SAR constraints for generating MT contrast. These were leveraged in imaging of neuromelanin containing structures at 0.5T. Elevated T1 values in the substantia nigra and locus coeruleus were demonstrated. Contrary to T1-weighted approaches reported in the literature a proton density weighted fast spin echo approach is shown to provide improved visualization at mid-field and implies modified strategies at higher field would be beneficial. |
| 4770 | Computer 179
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Brain functional network hierarchy and neurochemical correlates in deficit and non-deficit schizophrenia |
| Chengmin Yang1, Li Yao1, Jiajun Liu2, Zhipeng Yang2, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China., Chengdu, China, 2College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, P.R. China., Chengdu, China |
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Keywords: Psychiatric Disorders, Gradients By combining the brain hierarchy changes and their likely potential molecular signatures, we found that the compression of the cortical hierarchy organization in deficit schizophrenia (NS) and non-deficit schizophrenia (NDS) with neurochemical correlates. The altered functional gradients were spatially positively correlated with the receptor of 5-HT2a in DS patients, while negatively correlated with receptor of D1/2 in NDS patients, which revealed the underlying physiological mechanisms of the heterogeneity in schizophrenia. |
| 4927 | Computer 161
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Quantification of gray matter abnormalities in drug‑naïve major depressive disorders by synthetic MRI |
| Junyan Wen1, Shanshan Yang1, Xuecong Lin1, Wei Cui2, Long Qian2, Zhimin Chen1, Liaoming Gao1, Qian Gao3, Weikang Huang 4, Dongliang Cheng5, and Ge Wen1 | ||
1Medical Imaging Department, Nanfang Hospital, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China, 3Department of Radiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China, 4Department of Radiology, Zengcheng Branch of Nanfang Hospital, Guangzhou, China, 5Department of Radiology, First People's Hospital of Foshan, Foshan, China |
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Keywords: Psychiatric Disorders, Brain, Major depressive disorder Major depressive disorder (MDD) is a common mental illness. Herein, we explored the differences in the whole-brain T1 and T2 relaxation times between drug-naïve major depressive disorder patients and healthy controls by synthetic MRI (SyMRI). The results showed altered T1 and T2 values in specific regions of the gray matter in MDD patients, which may be associated with alterations in the brain gray matter microstructure, such as excessive iron deposition. Thus, these quantitative variables may be promising imaging markers for further exploring the pathophysiological mechanisms of depression. |
| 4928 | Computer 162
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Sex Difference of Hippocampal Subfields in First-episode Drug-naive Patients with Major Depressive Disorder |
| Mengyue Tang1, Lianqing Zhang1, Zilin Zhou1, Lingxiao Cao1, Yingxue Gao2, Hailong Li2, Xinyue Hu1, Kaili Liang2, Weijie Bao2, Yingying Wang1, Weihong Kuang2, Qiyong Gong1, and Xiaoqi Huang2 | ||
1Department of Radiology, Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China., Chengdu, China, 2Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China., Chengdu, China |
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Keywords: Psychiatric Disorders, Brain We investigated hippocampal subfields volumes in a relatively large sample of first-episode drug-naive MDD and explored sex-related effects. We used Freesurfer software to segment the hippocampus with longitudinal axis and transverse axis automatically. We found there were different alterations of hippocampus along different axis. The sex-independent decreased volume of hippocampal and its subregions along the longitudinal, while the sex specific alteration only detected in the subfields along the transverse axis. These current findings may interpretate the hippocampus appears to have functional segregation along the different axis, which may contribute to developing new diagnostic and mechanism of sex difference for MDD. |
| 4929 | Computer 163
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Analysis of Dynamic Network Reconfiguration in First-Episode, Drug-Naive Patients with Major Depressive Disorder Based Multilayer Network |
| Yingying Wang1, Mengyue Tang1, Zilin Zhou1, Yingxue Gao1, Linxiao Cao1, Hailong Li1, Xinyue Hu1, Weijie Bao1, Kaili Liang1, Lianqing Zhang1, Weihong Kuang2, Qiyong Gong1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China., Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, Neuro We collected resting-state fMRI data from 115 patients with major depressive disorder (MDD) and 120 healthy controls (HC). The GenLouvain community detection algorithm was performed to identify the temporal evolution of community in the multilayer network. Recruitment and integration coefficients were calculated according to the module allegiance matrix to quantify the dynamic characteristic of a node within each of the networks. We found aberrant recruitment and integration coefficients in MDD patients and their significant correlations with clinical scores, and such abnormally dynamic network reconfiguration provides a new perspective to explain the neurobiological characteristics of MDD patients. |
| 4930 | Computer 164
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Alterations of the structural covariance network in the thalamic subnuclei of non-comorbid treatment-naïve patients with major depressive disorder |
| xinyue Hu1, lianqing Zhang1, hailong Li1, Mengyue Tang1, Hui Qiu1, Yongbo Hu1, Yingxue Gao1, Weihong Kuang2, Qiyong Gong1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, Gray Matter The thalamus is one of the key structures involved in the pathophysiology of major depressive disorder (MDD). Most previous neuroimaging studies on MDD measured the volume of thalamus as a whole, however, the thalamus consists of multiple subnucleus with distinct function and connectivity. Recent advances in structural MRI segmentation techniques have enabled the measurement of the volumes of thalamic subnucleus with a robust, automatic approach using a Bayesian inference-based atlas-building algorithm. Using this algorithm, we aimed to investigate the alternations in volume and structural covariance networks in thalamic subnucleus in a relatively large sample of non-comorbid treatment-naïve patients with MDD. |
| 4931 | Computer 165
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Abnormal dynamic function connectivity pattern in first-episode, drug-naïve adult patients with major depressive disorder |
| Tao Chen1, Zhongyi He2, Qinger Guo1, Jinfeng Duan3, Yong Zhang4, Min Wang2, and Hong Yang1 | ||
1Radiology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, 2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China, 3Psychiatry, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China, 4GE Healthcare, Shanghai, China |
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Keywords: Psychiatric Disorders, fMRI (resting state) Objective: To explore the specific FC change patterns of MDD by combining sFC and dFC. Methods: 37 MDD and 36 matched HCs were included in this study. The differences of sFC and dFC between two groups were compared. Results: Compared to HCs, patients showed less time in the anti-correlated state between higher-order and lower-order networks and longer dwell time in the whole-brain weakly connected state. The mean dwell time of state 4 was negative correlation with the behavioral scale score in patients. Conclusions: These disrupted dFC patterns provide new clues to understanding the neuropathology of state-dependence in MDD. |
| 4932 | Computer 166
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Evaluation of different multi-echo combinations on objective depression prognosis in an emotional face-matching task |
| Jesper Pilmeyer1,2, Rolf Lamerichs1,3, Faroeq Rahmat Ramsaransing1,2,4, Marcel Breeuwer1,5,6, and Svitlana Zinger1,2 | ||
1Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Research and Development, Epilepsy Centre Kempenhaeghe, Heeze, Netherlands, 3Philips Research, Eindhoven, Netherlands, 4Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, Netherlands, 5Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 6Philips Healthcare, Best, Netherlands |
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Keywords: Psychiatric Disorders, fMRI (task based), Multi-echo imaging Objective prognosis of major depressive disorder (MDD) based on functional MRI (fMRI) biomarkers remains problematic due an abundance of physiological and motion confounders. Multi-echo imaging enhances the BOLD sensitivity while reducing signal loss. Here, we evaluate the effect of different multi-echo combinations on MDD symptom improvement prediction in an emotional face-matching fMRI task. We demonstrate improved signal quality and activation contrast for multi-echo combinations in the amygdala and hippocampus and predict 3-months and 6-months MDD symptom improvement with 91% and 87% accuracy, respectively. These results highlight the benefits of novel multi-echo acquisitions for prognosis in psychiatric disorders. |
| 4933 | Computer 167
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The Hippocampus-Amygdala Complex Show Altered Structural Covariance Properties in Never-treated Patients with First-Episode Depression |
| Lianqing Zhang1, Xinyue Hu1, Mengyue Tang1, Hui Qiu1, Yongbo Hu1, Yingxue Gao1, Hailong Li1, Weihong Kuang2, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, PR ChinaMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China, Chengdu, China |
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Keywords: Psychiatric Disorders, Neuroscience, hippocampus, amygdala The hippocampus and amygdala are densely interconnected structures that work together in multiple affective and cognitive processes that are important to the etiology of major depressive disorder. By constructing a network based on the volumetric covariation among subfields/subregions within the hippocampus-amygdala complex, we found the topologic properties within localized network of the hippocampus-amygdala complex were disrupted in never-treated patients with first-episode depression. The current study provided the first evidence of atypical structural covariance network within the hippocampus-amygdala complex in patients with early stage of MDD, which could be a potential biomarker in the future psychoradiological practices. |
| 4934 | Computer 168
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Glymphatic system dysfunction in patients with major depressive disorder |
| Shanshan Yang1, Xuecong Lin1, Junyan Wen1, Wei Cui2, Long Qian2, Weiwei Cui1, Ziqi Wu1, Peiqian Hu3, Liyang Yang4, and Ge Wen1 | ||
1Medical Imaging Department, Nanfang Hospital, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China, 3Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, China, 4Department of Radiology, Zengcheng Branch of Nanfang Hospital, Guangzhou, China |
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Keywords: Psychiatric Disorders, Brain, Major depressive disorder Major depressive disorder (MDD) is a severe mental sickness. Yet, its neural mechanisms remain unclear. The present study aimed to analyze the different degrees of glymphatic system activity between patients with MDD and healthy controls using diffusion tension imaging (DTI) along the perivascular space (DTI-ALPS). The results showed that the patients with MDD had glymphatic system dysfunction, which increases anxiety. Thus, the ALPS index is expected to be a biomarker for monitoring changes in glymphatic system function in MDD patients. |
| 4935 | Computer 169
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Left DLPFC - left ACC resting state functional connectivity association with response to rTMS therapy of major depressive disorder |
| Pallab Bhattacharyya1, Amit Anand2, Xuemei Huang1, Mark Lowe1, and Murat Altinay1 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States, 2Brigham and Women's Hospital, Boston, MA, United States |
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Keywords: Psychiatric Disorders, Psychiatric Disorders High frequency repetitive transcranial magnetic stimulation (rTMS) targeted at left dorsolateral prefrontal cortex (lDLPFC) is an increasingly popular therapy of patients with major depressive disorder, who are inadequately responsive to medication treatment. There is evidence of resting state functional connectivity (fcMRI) between lDLPFC and left anterior cingulate cortex (lACC) playing a role in rTMS efficacy. We performed a longitudinal study by scanning patients before and after 6-week long 10-Hz rTMS therapy. Patients with lower resting state low frequency blood oxygen level dependent fluctuation correlation and anticorrelation between lDLPFC and lACC responded better to rTMS therapy. |
| 4936 | Computer 170
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Effect of acute ketamine on vigilance measured by multi-echo fMRI in treatment resistant major depression |
| Jennifer Evans1 and Carlos Zarate1 | ||
1NIH, Bethesda, MD, United States |
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Keywords: Psychiatric Disorders, Drugs, major depression, ketamine We investigate vigilance changes during intravenous ketamine administration in patients with treatment resistant major depression using an fMRI arousal template. There is a significant decrease in the average vigilance index after ketamine infusion as compared to placebo. The fMRI based vigilance index shows promise in detecting the rapid onset of ketamine administration effects. |
| 4937 | Computer 171
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Predictive diagnosis of Major Depressive Disorder using integrated NMR based metabolomics and logistic regression model approach |
| Ritu Tyagi1, Vishwa Rawat1, Gagan Hans2, Pratap sharan2, S Senthil Kumaran1, and Uma Sharma1 | ||
1Department of NMR, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 2Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India |
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Keywords: Psychiatric Disorders, Spectroscopy, NMR based metabolomics, Logistic regression analysis, blood serum, neuroinflammation The current diagnosis for Major Depressive disorder (MDD) is dependent on symptomatic clusters and resulting high error rates. The study identifies a panel of biomarkers using 1H NMR spectroscopy and logistic regression prediction modelling. The VIP score of >1.5 and S-plot based on OPLS-DA depicted 4 significant metabolites (phosphocreatine, phosphocholine, glycerophosphocholine and glutamine) indicating abnormalities in energy and lipid metabolism. Phosphocreatine showed the highest AUC of 0.875 with 90% sensitivity and specificity, while with a combination of 4 metabolites, the AUC increased to 0.927 with 96.3% sensitivity and 87.5% specificity, which may act as a supplementary diagnostic tool for MDD. |
| 4938 | Computer 172
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Prefrontal glutathione levels in major depressive disorder are linked to a loss of positive mood |
| Ruth O'Gorman Tuura1, Andreas Buchmann2,3, Christopher Ritter2,3, Melanie Haynes4, Ralph Noeske5, and Gregor Hasler3 | ||
1University Children's Hospital Zurich, Zurich, Switzerland, 2Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland, 3Psychiatry Research Unit, University of Fribourg, Fribourg, Switzerland, 4Translational Research Center, University Hospital of Psychiatry and Psychotherapy, Bern, Switzerland, 5GE Healthcare, Munich, Germany |
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Keywords: Psychiatric Disorders, Spectroscopy Major depressive disorder (MDD) is one of the most common neuropsychiatric disorders, with symptoms including persistent sadness and low mood. MDD is associated with neurochemical alterations in GABA, glutamate, and glutamine levels, but to date few studies have examined changes in glutathione (GSH) in MDD. This study investigated changes in GSH in a medication naïve group of participants with current and past depression, and healthy controls, and the link between GSH, stress markers, depressive symptoms and mood. We observed elevated prefrontal GSH in participants with current but not remitted depression, which was associated with a decrease in positive mood. |
| 4939 | Computer 173
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Altered Structural Connectivity Of Thalamocortical Connections in Major Depressive Disorder: A 7T Study |
| Ameen S. Al Qadi1, Gaurav S. Verma1, James S. Murrough2, and Priti S. Balchandani 1 | ||
1Biomedical Engineering And Imaging Institute, Icahn School Of Medicine At Mount Sinai, New York, NY, United States, 2Department Of Psychiatry, Icahn School Of Medicine At Mount Sinai, New York, NY, United States |
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Keywords: Psychiatric Disorders, Brain Connectivity, Tractography, 7T, Major Depressive Disorder This study investigated the structural integrity of thalamic nuclei and their white matter connections in the brains of patients with Major Depressive Disorder (MDD) to help elucidate MDD etiology using diffusion tractography and structural MRI at 7T. Group differences were found with decreased FA and increased MD, RD, and AD in the tracts of multiple nuclei in the MDD cohort compared to controls. There were no significant differences in the average volumes of the nuclei between groups. These results suggest aberrant axonal integrity in multiple pathways responsible for visual & auditory processing, motor function, and emotional response networks. |
| 4940 | Computer 174
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Free water DTI for evaluating gray matter microstructure in major depressive disorder: A preliminary study |
| Xuecong Lin1, Junyan Wen1, Shanshan Yang1, Wei Cui2, Long Qian2, Yanyu Hao1, Liya Gong1, Weikang Huang3, Haijie Zhang4, and Ge Wen1 | ||
1Medical Imaging Department, Nanfang Hospital, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China, 3Department of Radiology, Zengcheng Branch of Nanfang Hospital, Guangzhou, China, 4PET/CT Center, Department of Nuclear Medicine, First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, China |
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Keywords: Psychiatric Disorders, Brain, Major depressive disorder Major depressive disorder (MDD) is a common mental disease with unclear pathophysiology. Herein, we explored the differences in the whole-brain gray matter free-water axial diffusivity (AD) and mean diffusivity (MD) values between MDD patients and healthy controls using free-water DTI. The results showed altered free-water AD and MD values in specific regions of the gray matter in MDD patients, which may be associated with alterations in the brain gray matter microstructure, such as microstructure damage or neurodegeneration. Thus, these quantitative variables could be used as valuable biomarkers that could further our understanding of the pathophysiological mechanisms of depression. |
| 4941 | Computer 175
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Quantitative Study of Brain Iron Deposition in Major Depression Disorder |
| Bo Zhou1, Wenjia Liang2, Chenxi Sun2, Wenjun Wang2, Weiqiang Dou3, Dmytro Pylypenko3, Huimin Hou4, and Bao Wang1 | ||
1Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 2Department of Anatomy and Neurobiology, Cheeloo College of Medicine, Shandong University, Jinan, China, 3MR Research China, GE Healthcare, Beijing, China, 4Department of Orthopedic Surgery, Qilu Hospital of Shandong University, Jinan, China |
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Keywords: Psychiatric Disorders, Quantitative Susceptibility mapping The occurrence of depression may be related to the accumulation of iron in the brain. T1-weighted images were linearly registered into the QSM space, and then six regions of interest (ROIs) were obtained using the automated segmentation pipeline. Susceptibility values of major depression disorder (MDD) and healthy control (HC) groups were compared using the two-sided Student's t-test. The susceptibility of the left amygdala and right putamen in MDD patients were significantly increased, and positively correlated with the severity of depression and insomnia, respectively. The increased iron in the left amygdala may be a new biomarker for MDD. |
| 4942 | Computer 176
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White matter alterations in patients with major depressive disorder: A Quantitative synthetic MRI Study |
| Junyan Wen1, Shanshan Yang1, Xuecong Lin1, Wei Cui2, Long Qian2, Zhimin Chen1, Liaoming Gao1, Qian Gao3, Weikang Huang 4, Dongliang Cheng5, and Ge Wen1 | ||
1Medical Imaging Department, Nanfang Hospital, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China, Beijing, China, 3Department of Radiology, the First Affiliated Hospital of Kunming Medical University, Kunming, China, 4Department of Radiology, Zengcheng Branch of Nanfang Hospital, Guangzhou, China, 5Department of Radiology, First People's Hospital of Foshan, Foshan, China |
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Keywords: Psychiatric Disorders, Brain, Major depressive disorder; white matter microstructure Major depressive disorder (MDD) is a severe mental disorder with unclear pathophysiology mechanism. The present study aimed explore white matter (WM) microstructure alterations in MDD patients using synthetic MRI technique. The results showed shorter T1 relaxation time in several deep WM regions, while extensive myeline content was found in left anterior limb of internal capsule in patients with MDD. Thus, we concluded that WM alterations caused by MDD can be revealed by quantitative MRI parameters. |
| 4943 | Computer 177
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Modulation of left anterior cingulate glutathione in Lithium treatment of bipolar disorder |
| Pallab Bhattacharyya1, Bo Hu1, Mark Lowe1, and Amit Anand2 | ||
1Cleveland Clinic Foundation, CLEVELAND, OH, United States, 2Brigham and Women's Hospital, Boston, MA, United States |
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Keywords: Psychiatric Disorders, Spectroscopy Changes in total glutathione (GSH) level in left anterior cingulate cortex (ACC) following lithium monotherapy of bipolar disorder in depressed state were studied at7T. Patients were scanned with a semi-LASER sequence at baseline and 2, 8 and 26 weeks from onset of therapy. Healthy controls were also scanned at those 4 time points. An increase in GSH level at left dorsal/rostral ACC was observed in patients, and the increase took place between 8 and 26 weeks after the start of therapy. |
| 4944 | Computer 178
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Resting-state brain functional connectome disruptions in social anxiety disorder |
| Xun Zhang1 and Qiyong Gong1 | ||
1Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, fMRI (resting state), gray matter Social anxiety disorder (SAD) is a prevalent disabling psychiatric condition, for which the underlying neurobiological mechanisms remain poorly understood. Herein, we used group independent component analysis to characterize the functional architecture of brain resting-state networks (RSNs) and investigate between-group differences in intra- and inter-network functional network connectivity (FNC), as well as their associations with clinical characteristics and their potential diagnostic value. As a result, we observed widespread intra-/inter-network FNC abnormalities among high-order and primary perceptual RSNs in SAD, which were correlated to the symptom severity and illness duration, and allowed individual classification of SAD versus healthy controls with significant accuracy. |
| 4945 | Computer 179
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Assessment of Oxidative Stress and Neuronal Activity Affected in PTSD Subjects |
| Antonia Susnjar1, Gianna Nossa2, Joseph V Rispoli1, Ulrike Dydak2,3, and Meden Issac-Lam4 | ||
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2School of Health Sciences, Purdue University, West Lafayette, IN, United States, 3Department of Radiology and Imaging Sciences, Indiana School of Medicine, Indianapolis, IN, United States, 4Department of Chemistry and Physics, Purdue Northwest University, Hammond, IN, United States |
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Keywords: Psychiatric Disorders, Trauma, PTSD We are reporting neurometabolic imbalances in post-traumatic stress disorder using edited and unedited single voxel spectroscopy with optimized HERMES data acquisition at 3T. We have investigated five brain regions that play a significant role in PTSD including insula, hippocampus, amygdala, anterior, and dorsolateral prefrontal cortex. Our findings report the largest metabolic concentration changes in amygdala which moderates flight or fight state. Moreover, we observe decrease of primary neurotransmitter GABA in hippocampus, antioxidant GSH in DLPFC, and membrane turnover marker tCho across all brain regions. |
| 4946 | Computer 180
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Neurochemical effects of intrusive thinking in pathological and non-pathological worriers: A combined MRS, functional connectivity study |
| Antonio Napolitano1, Martino Schettino2,3, Chiara Parrillo1, Giulia Baldassari1, Luca Cairone1, Salvatore Gazzellini1, Federico Giove3,4, and Cristina Ottaviani2,3 | ||
1Bambino Gesù Pediatric Hospital, Rome, Italy, 2Sapienza University of Rome, Rome, Italy, 3IRCCS Santa Lucia Foundation, Rome, Italy, 4Centro Ricerche Enrico Fermi, Rome, Italy |
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Keywords: Psychiatric Disorders, Brain, Spectroscopy; GABA; Glx The present study combined magnetic resonance spectroscopy, resting state functional connectivity and ecological momentary assessment to support the view that intrusive thinking may be pathologically maintained via negative reinforcement, namely a reduction in autonomic arousal that prevents the transition from a relaxed state to a spike of activation. |
| 5043 | Computer 101
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Elevated glutamine levels and activation of astrocytes involved in excessive excitatory neurotransmissions in autism spectrum disorder |
| Kiwamu Matsuoka1,2, Masaki Oya1,3, Manabu Kubota1,4,5, Junya Fujino3,5, Shisei Tei4,5,6,7, Keisuke Takahata1,8, Kenji Tagai1, Yasuharu Yamamoto1,8, Hitoshi Shimada1,9, Chie Seki1, Takashi Itahashi 5, Yuta Y. Aoki5, Haruhisa Ohta5,10, Ryu-ichiro Hashimoto5,11, Genichi Sugihara3, Takayuki Obata12, Ming-Rong Zhang13, Tetsuya Suhara1, Motoaki Nakamura5,14, Nobumasa Kato5, Yuhei Takado1, Hidehiko Takahashi3,15, and Makoto Higuchi1 | ||
1Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 2Department of Psychiatry, Nara Medical University, Kashihara, Japan, 3Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan, 4Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 5Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan, 6Institute of Applied Brain Sciences, Waseda University, Tokorozawa, Japan, 7School of Human and Social Sciences, Tokyo International University, Kawagoe, Japan, 8Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan, 9Center for integrated human brain science, Brain Research Institute, Niigata University, Niigata, Japan, 10Department of Psychiatry, School of Medicine, Showa University, Tokyo, Japan, 11Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan, 12Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 13Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan, 14Kanagawa Psychiatric Center, Yokohama, Japan, 15Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan |
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Keywords: Psychiatric Disorders, Psychiatric Disorders We conducted MRS and PET to examine if enhanced excitatory tones occur and correlate with astroglial activations and/or diminished dopaminergic suppression of astrocytic functions in autism spectrum disorder (ASD) cases. MRS revealed elevated glutamate and glutamine levels associated with astroglial activation in ASD versus control anterior cingulate cortex, while there were also inverse correlations between glutamine levels and dopamine D1 receptor availability in this area of both ASD cases and controls. Hence, dopamine transmissions may repress astroglial glutamine synthesis independently of the ASD etiology, while astroglial activation in ASD could elicit augmented glutamate synthesis and consequent excitation of neuronal tones. |
| 5044 | Computer 102
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Diffusion kurtosis and elastography of uncinate fasciculus relate to dysfunctional emotion regulation and anxiety in youth |
| Melanie A Matyi1, Leah D Church1, Jeremy S Rudoler1, Nadia Bounoua1, Kaleigh E Wieand1, Grace McIlvain2, Curtis L Johnson2, and Jeffrey M Spielberg1 | ||
1Psychological and Brain Sciences, University of Delaware, Newark, DE, United States, 2Biomedical Engineering, University of Delaware, Newark, DE, United States |
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Keywords: Psychiatric Disorders, Adolescents, anxiety Mechanistic theories seeking to explain the onset of anxiety in adolescence propose that delayed myelination of the uncinate fasciculus (UF) confers risk for anxiety onset through, in part, deficits in regulation of emotions. Thus, we examined the relationship between two independent assays of UF structural integrity and measures of both dysfunctional emotion regulation and anxiety. We found that less UF structural integrity is related to more dysfunctional emotion regulation and anxiety. Furthermore, we found that dysfunctional emotion regulation mediates the relationship between UF structural integrity and anxiety. |
| 5045 | Computer 103
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Mapping altered cortical microstructural maturation with diffusion kurtosis imaging in children with autism |
| Minhui Ouyang1,2, Kay Sindabizera1, Tianjia Zhu1,3, Jeffrey Berman1,2, J. Christopher Edgar1,2, and Hao Huang1,2 | ||
1Department of Radiology, Children's Hospital of Philadelphia, Phildaelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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Keywords: Psychiatric Disorders, Gray Matter, Diffusion/Other Diffusion Imaging Techniques The cellular and molecular processes inside the cerebral cortex play a critical role in typical brain development and neuropsychiatric disorders. Altered cytoarchitecture across brain regions in autism spectrum disorder (ASD) was found with histology. Here, we noninvasively mapped the whole-brain cortical cytoarchitectural maturation in 52 children aged 6-9 years with ASD and 59 age-matched typically developmental (TD) children with diffusion kurtosis imaging (DKI). Significant cortical mean kurtosis increases in the temporal and frontal regions were found in TD children with almost flat mean kurtosis changes in ASD observed, suggesting altered underlying cortical cytoarchitectural maturation in ASD. |
| 5046 | Computer 104
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Prediction of early response to antidepressant medication in MDD adolescents using radiomics analysis based on brain multiscale structural MRI |
| Huan Ma1, Jianzhong Yang2, Yingying Ding1, Kun Li1, Dafu Zhang1, Zhongping Zhang3, and Xiaoyong Zhang4 | ||
1Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 2Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 3Philips Healthcare，Guangzhou China, Guangzhou, China, 4Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, Major depressive disorder; Antidepressant medication; Magnetic resonance imaging; Radiomics; Machine learning Based on the radiomics analysis framework and using machine learning, this study constructed a multiscale structural MRI prediction model to predict the early response of MDD patients to antidepressant medication, and determined the radiomics features with high weight for SSRIs/SNRIs selection. The results showed that the baseline radiomics model after normalization can effectively predict the early treatment response of ADM in adolescent MDD patients, and is superior to the model based on conventional imaging indicators and unnormalized radiomics features. The AUC, accuracy, sensitivity and specificity of predicting SSRIs improvement and SNRIs improvement are 0.954, 89.2%, 87.4% and 88.5%, 0.942, 91.9%, 82.5% and 86.8%, respectively. |
| 5047 | Computer 105
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7T MRI in Tourette syndrome and correlations with clinical ratings |
| Dimitrios G. Gkotsoulias1, Anna Bujanow1, Simon Schmitt2, Henryk Barthel3, Kirsten Mueller-Vahl2, and Harald E. Moeller4 | ||
1NMR Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Clinic of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany, 3Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany, 4Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany |
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Keywords: Psychiatric Disorders, Quantitative Susceptibility mapping, QSM, 7T, Tourette Syndrome, Substantia Nigra, Basal Ganglia In this study, we used 7T MRI for identifying potential local associations of Quantitative Susceptibility Mapping (QSM) with tic severity in patients with Gilles de la Tourette syndrome (GTS), as well as T1w volumes for VBM analysis of the cerebellum. Our results indicate direct correlations of tic severity with the QSM values in substantia nigra and other basal ganglia regions, supporting the hypothesis that iron imbalance play a significant role in neurotransmitter dysregulations that lead to the symptomatology of GTS. VBM results show previously unreported GM morphometry alterations in Crus-I, a cerebellar region implicated in visual-motor integration, attention and cognition. |
| 5048 | Computer 106
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Functional Connectivity and Clinical Characteristics in Gilles de la Tourette Syndrome |
| Renzo Torrecuso1, Karsten Mueller1, Kirsten Müller-Vahl2, and Harald Möller1 | ||
1NMR, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Hannover Medical School, Hannover, Germany |
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Keywords: Psychiatric Disorders, fMRI (resting state), Functional Connectivity, Tourette Syndrome Gilles de la Tourette syndrome (GTS) is characterized by the expression of tics and frequently co-occurs with comorbidities including obsessive compulsive disorder (OCD), depression, and attention deficit/hyperactivity disorder (ADHD). For a better discrimination of GTS’ manifestation in brain networks, we analyzed resting-state fMRI data from patients with “GTS only” (no comorbidities) and “GTS plus” (with comorbidities) based on clinical ratings. Our findings suggest that increased intrinsic connectivity of insular cortex with putamen are causally related to GTS while decreased connectivity of the frontal pole, medial temporal and superior frontal gyrus is likely to be related to comorbidities. |
| 5049 | Computer 107
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GABA Alterations Associated with Social Cognition Deficits in Youth with Autism Spectrum Disorder Compared to Early-Onset Psychosis |
| Rhideeta Jalal1, Aarti Nair1, Joseph O'Neill2, Hector Gutierrez1, Kristen Laulette3, Mary Rshtouni3, Katherine Karlsgodt3, Carrie E. Bearden2, and Brenda Bartnik-Olson4 | ||
1Psychology, Loma Linda University, Loma Linda, CA, United States, 2Psychiatry, University of California, Los Angeles, Los Angeles, CA, United States, 3Psychology, University of California, Los Angeles, Los Angeles, CA, United States, 4Radiology, Loma Linda University, Loma Linda, CA, United States |
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Keywords: Psychiatric Disorders, Spectroscopy, Adolecents Proton magnetic resonance spectroscopy (1H-MRS) can provide valuable information about cortical activity and metabolite concentrations. Previous research using MRS has found alterations in the concentrations of neurotransmitters in neuropsychiatric disorders, notably in autism spectrum disorder (ASD) and early-onset psychosis (EOP). We used 1H-MRS to quantify signals associated with neurotransmitters in the dorsal anterior cingulate cortex (dACC), a brain region underlying social cognition, by measuring metabolite concentrations and its relationship to social impairments, in youth with ASD or EOP, and typically developing (TD) youth. |
| 5050 | Computer 108
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Evaluation of neurotransmitter profiles in the Auditory Cortex in Children with Autism Spectrum Disorder |
| Maria Baida1, Sana Vaziri1, Marisa Lafontaine1, Carly Demopoulos1,2, Yi Li1, and Yan Li1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, United States |
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Keywords: Psychiatric Disorders, Neuro, Spectroscopy In this study, we used an automated spectral prescription method that predefined the left and right auditory cortex to compare neurotransmitter concentrations between ASD and typically developing control (TDC) and evaluate their relationship to age, sex, and verbal abilities. We found metabolic differences in GABA+ concentrations between the left and right auditory cortex in TDC and ASD. However, no significance was found between TDC and ASD or between ASD with intact speech and impaired speech. |
| 5051 | Computer 109
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Diffusion Brain Imaging in Autistic Adolescents with and without Speech Impairment |
| Yan Li1, Marisa Lafontaine1, Duan Xu1, Yi Li1, and Carly Demopoulos1 | ||
1University of California San Francisco, San Francisco, CA, United States |
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Keywords: Psychiatric Disorders, Pediatric, autism, diffusion In this study, we performed diffusion weighted imaging in subjects with Autism Spectrum Disorder and typically growing controls (TDC) to compare the differences in apparent diffusion coefficient (ADC) values between the two groups and examine their relationship to speech impairment. |
| 5052 | Computer 110
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Image normalization can improve the effectiveness of radiomics model based on multiscale structural MRI for diagnosing MDD and StD in adolescents |
| Huan Ma1, Yingying Ding1, Jianzhong Yang2, Kun Li1, Dafu Zhang1, Xiaoyong Zhang3, and Zhongping Zhang4 | ||
1Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 2Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China, 3Clinical Science, Philips Healthcare, Chengdu, China, Chengdu, China, 4Philips Healthcare，Guangzhou China, Guangzhou, China |
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Keywords: Psychiatric Disorders, Adolescents, Major depressive disorder, Subthreshold depression, Magnetic resonance imaging, Radiomics, Machine learning We developed a radiomics classifier for MDD and StD in adolescents with multiscale structural MRI after normalization, and it had the best performance and was superior to the classifier based on conventional image indicators and unnormalized radiomics features. The AUC, sensitivity, and accuracy for discriminating MDD and HC, MDD and StD, StD and HC were 0.928, 89.2% and 90.5%, 0.821, 73.0% and 80.8%, 0.836%, 82.4% and 79.7% respectively. The high discriminant radiomics features of cuneiform lobe and cerebellum (lobule ⅵ, ⅶ-b and ⅹ, 4/5 area of cerebellar vermis) played a key role in the pathophysiological mechanism of MDD and StD. |
| 5053 | Computer 111
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A study of AFQ-based method in adolescents with first-episode treatment-naive major depressive disorder |
| Lingyu Jian1,2, Junfeng Li3, Kefeng Li4, Xiaoyong Zhang5, and Min Luo6 | ||
1Changzhi Medcal College, Changzhi, China, 2Zigong Fourth People‘s Hospital, Zigong, China, 3Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China, 4Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China, 5Clinical Science,Philips Healthcare, Chengdu, China, 6Zigong Fourth People‘s Hospital, ZIgong, China |
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Keywords: Psychiatric Disorders, Diffusion Tensor Imaging The study is to explore the changes of white matter fiber tracts in adolescents with first-episode treatment-naive depression using a DTI-based AFQ method. Adolescent depression can cause damage to multiple white matter fiber tracts. The severity of depression is positively correlated with white matter fiber damage. The depression prediction model established has a certain accuracy in the diagnosis of adolescent depression. White matter fiber tract abnormalities may be the pathophysiological mechanism of depression and can be used as a potential biomarker for the diagnosis of depression. |
| 5054 | Computer 112
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Functional and structural brain alterations in autism spectrum disorder: A multimodal meta-analysis of neuroimaging studies |
| Zixuan Guo1, Hong Yan1, Xinyue Tang1, long Qian2, and Ying Wang1 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Psychiatric Disorders, Brain, fMRI(resting state); Grey matter volume Numerous neuroimaging studies conducted have shown functional and structural brain alterations in patients with ASD. We conducted a whole-brain voxel-wise meta-analysis to summarize previous inconsistent results by using Seed-based d Mapping software. In the present multimodal meta-analysis, functional and structural alterations in specific regions were found, which provide new insights into the quest for a neuroimaging-based marker for ASD. |
| 5055 | Computer 113
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Alteration in white matter tracts in early onset schizophrenia Using Diffusion tensor imaging |
| Mukesh Kumar1, S Senthil Kumaran1, Pankaj Pankaj1, and Rajesh Sagar2 | ||
1Dept. of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of psychiatry, All India Institute of Medical Sciences, New Delhi, India |
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Keywords: Psychiatric Disorders, Diffusion Tensor Imaging, Early-onset Schizophrenia The study investigated white matter tracts disruption in early-onset Schizophrenia (EOS). Our finding revealed decreased white matter tracts fractional anisotropy (FA) and increased radial, axial and mean diffusivity in EOS as compared to controls, suggesting thinner packing of axon and fiber bundle. Disrupted white matter fibers may be associated with impaired neurobehavior in EOS. |
| 5056 | Computer 114
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Repeated Electroconvulsive Shock does not Affect Cognition and Neurometabolism in Mouse Brain |
| Ajay Sarawagi1,2 and Anant Bahadur Patel1,2 | ||
1Department of NMR Microimaging and Spectroscopy, CSIR - Center for Cellular and Molecular Biology, Hyderabd, India, 2Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, India |
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Keywords: Psychiatric Disorders, Spectroscopy, Metabolism, Glutamate, GABA, 13C NMR Electroconvulsive therapy is an effective treatment for chemo-resistant depression. The impact of electroconvulsive shock (ECS) on cognition and neurometabolism is not clear. The memory of mice was evaluated using Y-maze test. The rates of glucose oxidation (CMRGlc(ox)) were measured by 1H-[13C]-NMR spectroscopy together with an infusion of [1,6-13C2]glucose after 24 hours and 3 months of the repeated ECS. The spontaneous alternation was decreased after 24 h and 1 month of repeated ECS, and was restored after two months. The CMRGlc(ox) was reduced in PFC after 24 h of ECS. These changes were normalized after 3 months of ECS. |
| 5057 | Computer 115
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Diagnosis of Autism Spectrum Disorder Using Age-Specific Brain Morphological Features |
| Dongyue Zhou1, Yunge Zhang1, Siting Xiong1, Wei Zhao1, Fengyu Cong1, and Huanjie Li1 | ||
1Dalian University of Technology, Dalian,Liaoning, China |
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Keywords: Gray Matter, Multimodal, Autism Spectrum Disorder (ASD); multiple kernel learning (MKL); structural magnetic resonance imaging (sMRI); multi-feature-based network (MFN) Autism Spectrum Disorder (ASD) diagnosis based on sMRI can be more objective than clinical scales due to high heterogeneity. However, accuracies on large heterogeneous datasets were not high. We used age-specific features based on ABIDE II dataset to distinguish ASD and control. In the meanwhile, we combined two kinds of age-specific structural features including regional and interregional features using multiple kernel learning (MKL) to complement each other. Results showed that our procedure achieved accuracy of more than 85 percent on discriminating ASD from control. |
| 5058 | Computer 116
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Myelination differences between cerebrum and cerebellum at early-stage schizophrenia detected by macromolecular proton fraction MRI. |
| Ekaterina Krupina1, Andrei Valerievich Manzhurtsev2,3,4, Maxim Vadimovich Ublinskiy2,3, Olga Vasilievna Bozhko3, Galina Mamedova5, Vadim Ushakov1,5,6, Natalia Zakharova5, Vasiliy Leonidovich Yarnykh7,8, Denis Andreyuk5, Maxim Borisovich Shlyapnikov5, Georgiy Kostiuk5, and Tolib Abdullaevich Akhadov3 | ||
1National Research Nuclear University MEPhI, Moscow, Russian Federation, 2Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow, Russian Federation, 3Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russian Federation, 4Moscow State University, Moscow, Russian Federation, 5Psychiatric Clinical Hospital 1 named N.A. Alekseev., Moscow, Russian Federation, 6Institute for Advanced Brain Studies, Moscow State University, Moscow, Russian Federation, 7Radiology, University of Washington, Seattle, WA, United States, 8Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, Tomsk, Russian Federation |
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Keywords: Psychiatric Disorders, Nervous system, myelin, schizophrenia The purpose of this study is to identify quantitative alterations of the myelin content using the macromolecular proton fraction (MPF) method. Forty-five subjects, 22 controls and 23 schizophrenia patients participated in the study. A significant decrease in myelination in schizophrenia was observed in the left and right cerebral cortex and in the left and right cerebral white matter. No myelination alterations in the entire cerebellum (not separated into regions) were detected. The differences found in the regional and global myelination at an early stage of schizophrenia may provide additional information for understanding the biological mechanisms of the disease. |
| 5059 | Computer 117
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Obsessive-compulsive symptom-related brain connectivity associated with calcium homeostasis in first-episode drug-naïve schizophrenia |
| Qi Zhang1, Hui Sun1, Jiaxin Zeng1, Xia Wei1, Huaiqiang Sun1, Naici Liu1, Chengmin Yang1, Wenjing Zhang1, Jing Dai2, Qiyong Gong1, and Su Lui1 | ||
1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, 2The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China |
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Keywords: Psychiatric Disorders, Psychiatric Disorders, schizophrenia The present study recruited a Chinese Han cohort of first-episode patients with never-treated schizophrenia. Partial least squares regression was used to investigate the functional connectivity specifically related to obsessive-compulsive symptom and the results mainly involved the frontal lobe, insula, temporal lobe, and Rolandic operculum. Using association rules, we dug that Calcium level exhibited a bidirectional effect with the strength of the connection between the right Rolandic operculum and the right insula, especially regarding PCDHGB1 expression in the right Rolandic operculum. |
| 5060 | Computer 118
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In vivo primary sensorimotor cortex glutathione does not differ in autistic children |
| Yulu Song1,2, Kathleen E. Hupfeld1,2, Christopher W. Davies-Jenkins1,2, Helge Zöllner1,2, Deana Crocetti3, Steve C.N. Hui1,2, Vivek Yedavalli1, Georg Oeltzschner1,2, Natalie Alessi3, Mitchell A. Batschelett3, Nicolaas A.J. Puts4,5, Stewart H. Mostofsky3,6,7, and Richard A.E. Edden1,2 | ||
1The Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom, 5MRC Centre for Neurodevelopmental Disorders, King’s College London, London, United Kingdom, 6Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, Baltimore, MD, United States |
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Keywords: Psychiatric Disorders, Spectroscopy, Autism Redox imbalance has been suggested as a pathophysiological factor in autism spectrum disorder (ASD). Edited MRS can be used to measure levels of glutathione, the most abundant redox compound in the brain. This study aims to compare glutathione levels in autistic children and typically developing children (TDC). Edited data were collected from the primary sensorimotor cortex (SM1) in 34 children with ASD and 31 TDC and quantified using Osprey. No difference was found in GSH levels in the SM1 between these two groups. |
| 5061 | Computer 119
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Long-term effects of childhood trauma subtypes on adult brain function |
| Qin Liu1, Weiyin Vivian Liu2, Jianjian Cai1, and Tian Tian1 | ||
1Department of Radiology, Tongji Hosptial, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
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Keywords: Psychiatric Disorders, Trauma, childhood trauma. Childhood trauma is prevalent in our society, but little is known about why and how different forms of early traumatic experiences exert long-term effects on differential brain function in adulthood. This study aimed to measure experience-specific neural correlates of distinct subtypes of childhood trauma. Our data showed the differential associations of abusive and neglectful experiences with brain function in adulthood. These experience-specific associations could underpin potentially differential risks of specific forms of psychiatric sequelae in adulthood. More attention to maltreated children and timely psychological treatment are needed to reduce the incidence of psychosis. |
| 5062 | Computer 120
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Relationships among brain controllability, cognition, and clinical symptoms of major depressive disorder |
| Qian Li1, Youjin Zhao1, Yaxuan Wang1, Fenghua Long1, Qiyong Gong1, and Fei Li1 | ||
1Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China |
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Keywords: Psychiatric Disorders, Brain, major depressive disorder Major depressive disorder (MDD) showed both clinical symptoms and cognitive deficits. Prior studies have typically examined either symptoms or cognition correlated with brain measures, thus causing a paucity of stable brain markers that capture the full characteristics of MDD. Sparse canonical correlation analysis was used to assess the associations between two multi-dimensional clinical measurements (symptoms and cognition) and brain controllability of MDD. Average controllability of dorsal attention network (DAN) and visual network reached high associations with clinical variates in MDD, and altered controllability of DAN in patients could induce impairment of cognitive flexibility, and thus cause severe depressed mood. |
| 5199
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Computer 101
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Combining MR Fingerprinting with Voxel-based Morphometric MRI Analysis to Reduce False Positives for Focal Cortical Dysplasia Detection |
| Zheng Ding1,2, Siyuan Hu2, Ting-Yu Su1,2, Joon Yul Choi1, Xiaofeng Wang3, Ken Sakaie4, Hiroatsu Murakami1, Hans-Juergen Huppertz5, Ingmar Blumcke1,6, Stephen Jones4, Imad Najm1, Dan Ma2, and Zhong Irene Wang1 | ||
1Epilepsy Center, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Quantitative Health Science, Cleveland Clinic, Cleveland, OH, United States, 4Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 5Swiss Epilepsy Clinic - Klinik Lengg AG, Zurich, Switzerland, 6University of Erlangen-Nuremberg, Erlangen, Germany |
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Keywords: Epilepsy, MR Fingerprinting We sought to improve focal cortical dysplasia (FCD) lesion detection by combining MR fingerprinting (MRF) with voxel-based morphometric MRI analysis. We acquired high-resolution MRF and T1w MPRAGE data from 29 patients and 47 age-and-gender-matched healthy controls. FCD probability maps were generated using the morphometric analysis program (MAP18). MRF T1 and T2 values in white matter were significantly higher in true-positive clusters than false-positive clusters. Using normalized MRF T1, T2, and cluster size as input, an SVM model was able to predict whether each cluster represents a true positive with high accuracy, demonstrating its potential contribution to clinical FCD detection workflow. |
| 5200 | Computer 102
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N-acetylaspartate and myo-inositol provide complementary information for lateralization of mesial temporal lobe epilepsy |
| Hui Huang1, Miao Zhang2, Bingyang Cai1, Siyu Yuan1, Wen Jin3,4, Yudu Li3,5, Yibo Zhao3,4, Zhi-Pei Liang3,4, Yao Li1, Biao Li2, and Jie Luo1 | ||
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Beckman Institute for Advanced Sciences and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 5National Center for Supercomputing Applications, University of Illinois at Urbana Champaign, Urbana, IL, United States |
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Keywords: Epilepsy, Metabolism Lateralization of drug refractory mesial temporal lobe epilepsy can be challenging for routine MR scans at 3.0T. Exogenous and radioactive tracer 18F-FDG has been widely reported to aid the lateralization of MR unidentifiable epileptic hippocampus. 1H-MRSI holds promise to provide endogenous metabolic information of the epileptogenic zone. This study demonstrated the feasibility of fast high-resolution mapping of NAA/Cr, mIn/Cr and mIn/NAA, and investigated their associations with the FDG uptake. Our experimental results showed that NAA and mIn were independently sensitive to metabolic changes in hippocampal sclerosis, providing complementary information for temporal lobe epilepsy lateralization. |
| 5201 | Computer 103
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Quantification of Lesion Volume Differences in Structural Epilepsy in 7T and 3T |
| Stefanie Chambers1,2, Lukas Haider3, Philipp Lazen1, Gregor Kasprian3, Johannes Koren4, Robert Diehm5, Katharina Moser5, Matthias Tomschik1, Jonathan Wais1, Fabian Winter1, Vitalij Zeiser1, Stephan Gruber2,6, Susanne Aull-Watschinger7, Tatjana Traub-Weidinger8, Christoph Baumgartner 4, Martha Feucht5, Christian Dorfer1, Wolfgang Bogner2,6, Siegfried Trattnig2,6, Ekaterina Pataraia7, Karl Rössler1,6, and Gilbert Hangel1,2,6 | ||
1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, 2High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 4Department of Neurology, Hietzing Hospital, Vienna, Austria, 5Center for Rare and Complex Childhood Onset Epilepsies, Member of ERN EpiCARE, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria, 6Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria, 7Department of Neurology, Medical University of Vienna, Vienna, Austria, 8Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria |
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Keywords: Epilepsy, High-Field MRI In this study, structural lesions in 3T and 7T of 12 patients suffering from intractable focal epilepsy were co-registered and manually segmented using ITK-SNAP. The rendered volumes were compared with reference to 3T lesional size in FLAIR, T1 and T2-weighted sequences. Additionally, a WMS sequence was compared to 3T FLAIR as well as 7T FLAIR. Our findings illustrate that on average, 7T showed larger lesion volume in all sequences except WMS. |
| 5202 | Computer 104
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The diagnostic value of mean apparent propagator (MAP) MRI in temporal lobe epilepsy (TLE) with unilateral amygdala enlargement: A pilot study |
| Lu Zu1,2, Peng Zhao2, Mengxiao Liu3, Xiaoli Li4, Wei Zhang5, Yani Cheng1,2, and Xiangtao Lin2 | ||
1Shandong University, Jinan, China, 2Department of Radiology, Shandong Provincial Hospital, Jinan, China, 3MR scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd, Shanghai, China, 4Department of Radiology, The Second People’s Hospital of Kunming, Kunming, China, 5The People's Hospital of Laoling, Laoling, China |
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Keywords: Epilepsy, Diffusion/other diffusion imaging techniques, mean apparent propagator (MAP) For patients with routine MRI-negative epilepsy, noninvasive imaging is important for differential diagnosis. AE might be a subtype of MRI-negative TLE. The aim of this study was to evaluate the diagnostic efficacy of MAP-MRI and traditional DTI between TLE-AE patients and healthy controls. Results showed that MSD, QIV, RTAP, RTOP from MAP-MRI and FA from DTI in amygdala can be used as an imaging indicator to identify TLE-AE(P<0.05). Furthermore, MSD, RTAP, RTOP had a significant correlation with seizure types. MAP-MRI outperformed DTI in the diagnosis of TLE-AE, and MAP-MRI is expected to contribute in probing MRI-negative epileptogenic lesions. |
| 5203 | Computer 105
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Connectome gradient dysfunction in benign childhood epilepsy with centrotemporal spikes: Initial discovery |
| Guiqin Chen1, Jie Hu1, Haifeng Ran1, Heng Liu1, and Tijiang Zhang1 | ||
1Department of Radiology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China |
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Keywords: Epilepsy, Brain Large-scale brain network abnormalities and cognitive impairment in patients with benign childhood epilepsy with centrotemporal spikes (BECTS). And cognitive function needs hierarchical interaction support between brain-collateral systems. Whether there are changes in the interaction and functional arrangement between different network systems in patients with BECTS still ambiguous. The purpose of this study is to use the method of gradient connection to investigate the changes of macro-network function hierarchy of BECTS and its potential contribution to cognitive function in BECTS children . |
| 5204 | Computer 106
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Static and Dynamic Alteration of Intrinsic Brain Activity might improve MRI-negative Temporal Lobe Epilepsy Diagnosis and Lateralization |
| song cheng ru1 and cheng jing liang1 | ||
1MRI, the first affiliated hospital of zhengzhou university, zhengzhou, China |
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Keywords: Epilepsy, fMRI (resting state), intrinsic brain activity, dynamic, cognition We comprehensively explored the potential intrinsic brain activity (IBA) abnormalities affected by MRI-negative temporal lobe epilepsy (TLE) based on six temporal dynamic indicators (dALFF, dfALFF, dReHo, dDC, dGSCorr, dVMHC) and their corresponding static indicators, the results revealed that the abnormally activated brain regions overlap markedly, including ①decreased fALFF, Reho, DC, VMHC, dfALFF, dReHo in the temporal neocortex with ipsilateral superiority. ②decreased dGSCorr and dVMHC in the occipital lobe. Moreover, many IBA indicators significantly correlated with the epilepsy duration or cognitive scale scores. The dDC, fALFF and DC showed significant discrimination ability. The ReHo and fALFF demonstrated lateralization significance. |
| 5205 | Computer 107
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Spatial Distortion from Leksell G-frame for Stereotactic Neurosurgery at 1.5T and 3T |
| Kiran K Seunarine1, Martin M Tisdall2, and Enrico De Vita1 | ||
1Physics Group, Department of Radiology, Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom, 2Department of Neurosurgery, Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom |
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Keywords: Epilepsy, Precision & Accuracy, Stereotactic Stereo electroencephalography (sEEG) is a valuable tool for localising seizure-onset zones in focal epilepsy. Pre-surgical planning typically combines CT images, which have little spatial distortion, with MRI images, which have improved cerebral tissue contrast. However, the use of CT results in a potentially unnecessary radiation dose to the patient and additional demand on radiology services. In this work, we assess the additional distortion caused by the stereotactic Leksell G-frame in a single healthy volunteer at both 1.5T and 3T. We show that distortion is <1mm in 99.6% of the brain volume at 3T. |
| 5206 | Computer 108
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In vivo γ-aminobutyric acid alterations as a biomarker of the therapeutic effect of MRI-negative temporal lobe epilepsy |
| Shuohua Wu1,2, Qianqi Wang2, Huige Zhai2, Yiwen Zhang2, Pu-yeh Wu3, Gen Yan2, and Renhua Wu1 | ||
1The Second Affiliated Hospital, Medical College of Shantou University, Shantou, China, 2The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China, 3GE Healthcare, Beijing, Beijing, China |
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Keywords: Epilepsy, Molecular Imaging, therapeutic effect Current diagnosis of MRI-negative TLE relies on clinical history and EEG or IEEG. However, IEEG is invasive and fails to monitor therapeutic effects dynamically. It is necessary to screen for effective biomarkers. We used MEGA-PRESS technique to investigate role of GABA and other metabolic alterations in TLE. We demonstrated that GABA, NAA, NAA+NAAG, and Glu levels in MTL were significantly different between epileptic and contralateral sides, and increasing index of GABA values is associated with increasing index of seizure frequency. These findings suggested that GABA is an effective biomarker for lateralization and therapeutic effect monitoring in patients with MRI-negative TLE. |
| 5207 | Computer 109
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Diffusion spectrum imaging study of cognitive and emotional related structural network in patients with temporal lobe epilepsy |
| jiachen Li1, jing Zhang1, wanjun Hu1, guangyao Liu1, liang Zhou1, and kai Ai2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Epilepsy, Diffusion/other diffusion imaging techniques To investigate the relationship between changes in brain networks and changes in emotion and cognition in patients with temporal lobe epilepsy. We used Diffusion spectrum imaging to construct structural brain networks. Then graph-theoretical analysis was applied to estimate structural connectivity and network properties in temporal lobe epilepsy (TLE) patients. Our study found that the brain network connectivity is altered and this alteration is associated with cognitive decline in TLE patients. This result offers a complementary understanding of neuropathology mechanism of TLE and its related cognition alteration, which may be helpful for clinical diagnosis and prognosis evaluation. |
| 5208 | Computer 110
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Detection of Lesions in Focal Epilepsy by Asymmetry Analysis of MR Fingerprinting |
| Yuting Li1, Leiyu Geng2, Hong Ge2, Wenbo Zhang3, Siyuan Wu3, and Shenghong Ju2 | ||
1Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China, 2Zhongda Hospital, Medical School of Southeast University, Nanjing, China, 3Medical School of Southeast University, Nanjing, China |
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Keywords: Epilepsy, MR Fingerprinting Conventional MRI is limited in diagnosis of subtle epileptic lesions. Therefore, this study aimed to localize epileptic lesions by using MRF technology. Twenty epilepsy patients were included which underwent T1, T2 and MRF examinations. The MRI were spatially normalized to the symmetric ICBM-152 template, followed by transformation of T1 and T2 MRF maps. Absolute asymmetric index (|AI|) analysis was then performed on T1 and T2 MRF maps to detect epileptic lesions. Results showed that the |AI| analysis can detect epileptogenic foci in 75% of patients. In conclusion, the asymmetry analysis could help improve epileptic focus localization in clinical practice. |
| 5209 | Computer 111
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Diagnostic value of rs-fMRI indicators based on SVM classification in adult patients with MRI-negative temporal lobe epilepsy |
| Yang Fan1, JIA Wen xiao1, HANJIAERBIEKE KUKUN1, WANG Shao yu2, and WANG Yun ling1 | ||
1Department of Radiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China, 2MR Scientific Marketing MR Scientific Marketing, Shanghai, China |
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Keywords: Epilepsy, fMRI (resting state) Rs-fMRI technology provides a range of analytical approaches that expand the scope of epilepsy research, and these algorithms provide unique views on pathophysiological processes that complement each other in interpreting regional spontaneous brain activity. ALFF, fALFF and ReHo can effectively identify MRI negative TLE (MRIn TLE) patients based on support vector machine algorithm. We hypothesized that there were abnormal changes in DMN-related brain regions in MRIn TLE patients, and the brain function indexes of angular gyrus, precuneus, and inferior parietal angular gyrus could distinguish MRIn TLE patients from HC. |
| 5210 | Computer 112
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The potential value of PCASL in reflecting cognitive performance for older adults with MRI-negative epilepsy |
| Xuyang Yin1, Jianhong Wang2, Yanwei Zeng1, Zhenxu Xiao2, Junyan Fu1, Qianhua Zhao2, Ding Ding2, and Jun Zhang1 | ||
1Radiology Department, Huashan Hospital, Shanghai, China, 2Neurology Department, Huashan Hospital, Shanghai, China |
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Keywords: Epilepsy, Arterial spin labelling Older adults with epilepsy accompanied by cognitive impairment represent a huge proportion, which calls for novel clinical techniques for early diagnosis and intervention. By applying pseudo-continuous arterial spin labeling (PCASL), we identified whole-brain voxel-based perfusion pattern of epilepsy associated with cognitive impairment, and explored correlations between cerebral blood flow (CBF) and domain-specific cognitive performance. The enrolled patients exhibited decreased CBF mostly in the bilateral frontal lobes, and there were positive associations between mean CBF and memory as well as executive function. Therefore, CBF measured by PCASL may be a useful indicator for cognitive performance in older adults with MRI-negative epilepsy. |
| 5211 | Computer 113
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Structural and functional changes in patients with temporal lobe epilepsy: a VBM and rs-fMRI study |
| jiachen Li1, jing Zhang1, wanjun Hu1, guangyao Liu1, liang Zhou1, and kai Ai2 | ||
1Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China |
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Keywords: Epilepsy, fMRI (resting state) To investigate the structural and functional changes of the Temporal Lobe Epilepsy (TLE) patients, voxel-based morphometry (VBM) and resting-state functional MRI (rs-fMRI) methods were used. Our findings showed that thalamus gray matter volume decreased and performed negative correlation with self-rating anxiety scale (SAS) and self-rating depression scale (SDS). Furthermore, in rs-fMRI analysis, we found decreased functional connectivity between bilateral thalamus and right superior frontal gyrus. The results suggested that thalamus plays an important role in emotional change in TLE patients and structural and functional alterations may be related to the pathological mechanism of TLE. |
| 5212 | Computer 114
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Focused Ultrasound Neuromodulation combined with rs-fMRI and EEG as a preclinical tool to investigate and intervene Drug-Induced Epilepsy |
| Yi-Jing Juan1, Xiao Zhen1, Po‑Chun Chu2, You-Yin Chen3, Hao-Li Liu2, and Jyh-Horng Chen2 | ||
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei City, Taiwan, 2Department of Electrical Engineering, National Taiwan University, Taipei City, Taiwan, 3Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan |
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Keywords: Epilepsy, fMRI (resting state), Focused Ultrasound, Neuromodulation, EEG A drug-induced epileptic animal model to investigate the feasibility of FUS neuromodulation with rs-fMRI and EEG |
| 5213 | Computer 115
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Mixed brain perfusion pattern and its association with epilepsy duration: The application of arterial spin labeling in older people with epilepsy |
| Xuyang Yin1, Jianhong Wang2, Yanwei Zeng1, Zhenxu Xiao2, Junyan Fu1, Qianhua Zhao2, Ding Ding2, and Jun Zhang1 | ||
1Radiology Department, Huashan Hospital, Shanghai, China, 2Neurology Department, Huashan Hospital, Shanghai, China |
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Keywords: Epilepsy, Arterial spin labelling The early identification, evaluation and intervention are important for older people with epilepsy, which calls for techniques of high convenience, repeatability and practicality in clinical application. By applying arterial spin labeling (ASL), we detected perfusion differences between older people with epilepsy and healthy controls on whole-brain voxel-based level, and conducted linear regression between cerebral blood flow (CBF) and duration of epilepsy. Our findings revealed a mixed perfusion pattern for older people with epilepsy, and the significant correlation between CBF and duration of epilepsy. Therefore, ASL has potential value in early diagnosis and evaluation of seizure activity and severity for epilepsy. |
| 5214 | Computer 116
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T2 mapping with GRAPPATINI in temporal lobe epilepsy improves epileptogenic zone characterization: a pilot study |
| Maria Celeste Bonacci1, Maria Eugenia Caligiuri1, Ilaria Sammarra2, Tobias Kober3, Domenico Zacà4, Francesco Fortunato2, and Antonio Gambardella2 | ||
1Neuroscience Research Center, Università degli Studi Magna Graecia di Catanzaro, Catanzaro, Italy, 2Institute of Neurology, Università degli Studi Magna Graecia di Catanzaro, Catanzaro, Italy, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Siemens Healthcare, Milan, Italy |
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Keywords: Epilepsy, Quantitative Imaging The use of qMRI techniques in the routine imaging assessment of epilepsy patients may improve sensitivity in detecting subtle MRI abnormalities which can further aid lateralization and localization of the epileptogenic zone. T2 relaxometry might be a promising tool for a better and non-invasive lateralization of the epileptogenic zone, as well as for identifying lesions that are not visible on standard MRI. |
| 5215 | Computer 117
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Structural and functional changes in drug-naïve Rolandic epilepsy and their associated gene expression profiles |
| Yu Yin1 and Heng Liu1 | ||
1the Affiliated Hospital of Zunyi Medical University, Zunyi, China |
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Keywords: Epilepsy, fMRI (resting state) Combining structural and functional neuroimaging analyses with brain transcriptional data, the present study investigated GMV and fALFF changes in children with RE as well as their underlying gene transcriptional profiles. VBM and fALFF analyses showed altered GMV and fALFF in brain regions associated with behavioral and cognitive regulation. Transcription-neuroimaging spatial correlation analyses further identified genes correlated with GMV and fALFF changes in RE, respectively. Moreover, functional enrichment analysis demonstrated that RE-related genes were enriched for the regulation of biological process. These findings may provide us with important knowledge for understanding the pathophysiological basis of this disease. |
| 5216 | Computer 118
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Quantitative Comparison of 1.5T and 3.0T 1H Magnetic Resonance Spectroscopy for Temporal Lobe Epilepsy |
| Biao Qu1, Hejuan Tan2, Min Xiao2, Dongbao Liu3, Shijin Wang4, Yiwen Zhang5, Runhan Chen6, Gaofeng Zheng1, Yonggui Yang7, Gen Yan7, and Xiaobo Qu3 | ||
1Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China, 2Institute of Artificial Intelligence, Xiamen University, Xiamen, China, 3Biomedical Intelligent Cloud R&D Center, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Department of Electronic Science, Xiamen University, Xiamen, China, 4Department of Information & Computational Mathematics, Xiamen University, Xiamen, China, 5Department of Neurology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China, 6National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China, 7Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China |
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Keywords: Epilepsy, Brain The study explored the diagnostic utility of different field strengths for the temporal lobe epilepsy (TLE) with 1H magnetic resonance spectroscopy (1H-MRS) which could be utilized to examine the concentrations of related metabolites. Four ratios of brain metabolites, including NAA/Cr, NAA/Cho, NAA/(Cho+Cr) and Cho/Cr were introduced to four control experiments with the Mann-Whitney U Test, the power analysis and the Paired T-Test adopted. Results suggested that 1.5T and 3.0T scanners might have comparable potential in distinguishing TLEs from HCs when 1H-MRS was used to identify patients with TLE. |
| 5217 | Computer 119
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Neurite orientation and dispersion density imaging (NODDI) to detect PCDH19 related microstructural anomalies. |
| Antonio Napolitano1, Chiara Parrillo1, Giulia Baldassari1, Daniela Longo1, Maria Camilla Rossi Espagnet1, and Lorenzo Figa' Talamanca1 | ||
1Bambino Gesù Children's Hospital, Rome, Italy |
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Keywords: Epilepsy, Diffusion/other diffusion imaging techniques, NODDI Protocadherin 19 (PCDH19)-clustering epilepsy (PCDH19-CE) is a genetic form of epilepsy caused by a mutation of PCDH19-CE gene that begins in the first year of life. Patients with this disorder may present intellectual disability, behavioral problems and motor and language delay. Using advanced Magnetic Resonance Imaging (MRI) methods we were able to highlight microstructural changes of brain in PCDH patients. These results shows that Neurite orientation dispersion and density imaging (NODDI) techniques might be useful tools to investigate PCDH19 anomalous arborization. |
| 5218 | Computer 120
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Epileptogenic periventricular nodular heterotopia BOLD fluctuations are anti-correlated to non-epileptogenic nodular heterotopias |
| Mark J. Lowe1, Jian Lin1, Ajay Nemani1, Spencer Morris2, Balu Krishnan2, David Martinez2, Juan Bulacio2, Stephen Jones1, Imad Najm2, and Irene Wang2 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Neurologic Institute, Cleveland Clinic, Cleveland, OH, United States |
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Keywords: Epilepsy, fMRI (resting state) In this study, using a limited sample size, we establish with 95% confidence that epileptogenic and non-epileptogenic periventricular nodular heterotopias can be distinguished based on their relative resting state connectivity |