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| 1368 | Contrasting brain MRI features in Ab-mediated demyelinating diseases and MS: investigating the pathogenesis of brain damage | |
| Silvia Messina1, Romina Mariano1, Adriana Roca-Fernandez1, Ana Cavey1, Rosie Everett2, Sandra Reeve2, Maria Isabel Leite1, Mark Jenkinson1,3, and Jacqueline Palace1 | ||
1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Oxford University Hospital NHS Foundation Trust, Oxford, United Kingdom, 3University of Adelaide, Adelaide, Australia |
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The previous non-conventional MRI studies included both AQP4 positive and negative patients, thus yielding differing results, partly explained by cohort heterogeneity (i.e. antibodies status). No studies are available in MOG-Ab disease. We compared, using non-conventional imaging, brain MRI findings in 73 subjects with AQP4-ab, MOG-Ab disease, Multiple Sclerosis and in healthy controls. We found that MOG-Ab disease have a lower lesions load when compared to MS and AQP4-Ab disease and we demonstrated, for the first time, that significant changes occur in the deep grey matter while no significant changes were detected in the non-lesional white matter in MOG-Ab disease. |
| 1369 | Multi-modal Cervical Cord MRI in MOGAD, AQP4-Ab NMOSD & MS | |
| Romina Mariano1, Silvia Messina1, Adriana Roca-Fernandez1, Ana Cavey1, Rosie Everett2, Maria Isabel Leite1, Yazhuo Kong1,3, and Jacqueline Palace1 | ||
1Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom, 3The Key Laboratory of Behaviour Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China |
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Spinal cord involvement is an important feature of antibody-mediated demyelination, as in AQP4-Ab-positive NMOSD and MOGAD, as well as in MS. In this study of 80 participants (20 MOGAD, 20 AQP4-Ab, 20 MS, 20 health volunteers) we use multimodal cervical cord MRI to show that MOGAD may predominantly affect the grey matter; AQP4-Ab disease shows the most severely affected cord, localised to lesional areas; and that MRI metrics in the cervical cord do not differentiate these three conditions but have clinical relevance in their association with disability and pain scores, independent of disease type. |
| 1370 | Hippocampal regional vulnerability to damage differs between MS and neuromyelitis optica | |
| Elisabetta Pagani1, Laura Cacciaguerra1,2, Gianna C. Riccitelli1, Marta Radaelli2, Massimo Filippi1,2,3, and Maria A. Rocca1,2 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, 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 |
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Aim of the study was to characterize regional hippocampal volumetric alterations in multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) and to estimate correlations with MRI measures of inflammation and hippocampal disconnection. Brain T2 and T1 lesions and hippocampi were manually segmented; major hippocampal connections were reconstructed with tractography. Compared to healthy controls, NMOSD patients showed mild atrophy, whereas MS patients had diffuse hippocampal atrophy. Dentate gyrus hypertrophy and correlations between hippocampal volume abnormalities and damage of hippocampal anatomical connections was found in MS only, suggesting that other factors than inflammation, contribute to the hypertrophy process. |
| 1371 | Decoupling of brain activity from connectome in multiple sclerosis and neuromyelitis optica | |
| Chenfei Ye1, Jing Huang2, Haiyan Lv3, Jie Lu2, and Ting Ma1,4,5,6 | ||
1Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China, 2Department of Radiology, Xuanwu Hospital Capital Medical University, Beijing, China, 3Shenzhen MindsGo Life Technology Co.Ltd, Shenzhen, China, 4Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China, 5Peng Cheng Laboratory, Shenzhen, China, 6National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China |
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Coupling of brain functional activity with brain structural network (connectome) plays a key role in cognition and movement. In this study, we anticipated that the structural-functional coupling would be altered in multiple sclerosis (MS) and neuromyelitis optica (NMO). By introducing the graph frequency analysis on diffusion and functional MR images, we found that brain activity in patient with both MS and NMO deviated from the underlying structural network, indicating disrupted structural-functional coupling caused by neuronal inflammation and demyelination. |
| 1372 | Differentiation of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders by Convolutional Neural Network | |
| Akifumi Hagiwara1,2, Yujiro Otsuka1,3, Christina Andica1, Shimpei Kato1,4, Kazumasa Yokoyama5, Masaaki Hori1,6, Shohei Fujita1,4, Koji Kamagata1, Ryusuke Irie1,4, Saori Koshino1,4, Tomoko Maekawa1,4, Toshiaki Akashi1, Akihiko Wada1, Kanako Kunishima Kumamaaru1, Takuya Haruyama1,7, Syo Murata1, Nobutaka Hattori5, and Shigeki Aoki1 | ||
1Radiology, Juntendo University School of Medicine, Tokyo, Japan, 2Radiology, UCLA, Los Angeles, CA, United States, 3Milliman Inc., Tokyo, Japan, 4Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 5Neurology, Juntendo University School of Medicine, Tokyo, Japan, 6Radiology, Toho University, Tokyo, Japan, 7Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan |
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Multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) are both neuroinflammatory diseases and have overlapping clinical manifestations. We developed a convolutional neural network that differentiates between MS and NMOSD based on multi-dynamic multi-echo sequence that measures R1 and R2 relaxation times and proton density. To avoid overfitting on a small dataset, we aimed to separate features of images into those specific to an image and those common to the group (i.e. MS or NMOSD) based on SqueezeNet. We used only common features for classification. Our model achieved a diagnostic accuracy of 80.7%. |
| 1373 | Deep learning based automated white matter lesion detection for MS and NMOSD: a retrospective multicenter study | |
| Yajing Zhang1, Weiwei Jiang1, Zhizheng Zhuo2, Yunyun Duan2, and Yaou Liu2 | ||
1Philips Healthcare, Suzhou, China, 2Beijing Tiantan Hospital, Capital Medical University, Beijing, China |
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Multiple sclerosis (MS) and neuromyelitis optical spectrum disorders (NMOSD) are common demyelination diseases in central neural system. With increasingly used MR examinations in clinical practice, the detection and delineation of white matter lesions is helpful to the calculation of total lesion volume, which is of great significance to clinical treatment planning. However, manual delineation is time-consuming to the clinicians and may lead to poor repeatability. In this work, we employed deep learning method to establish a tool for WM lesion delineation of MS and NMOSD routine MRI data from multiple centers. |
| 1374 | Structural and functional characteristics in neuromyelitis optica spectrum disorders and multiple sclerosis | |
| Zhizheng Zhuo1, Yunyun Duan1, Xinli Wang1,2, Fenglian Zheng1, Jinli Ding1, Decai Tian3, Xiaoya Chen4, Fuqing Zhou5, Jinhui Wang6, Rongkai Ju7, Yingjie Mei8, Xinghu Zhang3, FuDong Shi2,9, and Yaou Liu1,9 | ||
1Department of Radiology, Beijing Tiantan Hospital, Beijing, China, 2Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China, 3Department of Neurology, Beijing Tiantan Hospital, Beijing, China, 4Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 5Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China, 6Center for Studies of Psychological Application, South China Normal University, Guangzhou, China, 7Clinical Application, Philips Healthcare, Beijing, China, 8Clinical Science, Philips Healthcare, Guangzhou, China, 9China National Clinical Research Center for Neurological Diseases, Beijing, China |
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We investigated structural and functional alterations in neuromyelitis optica spectrum disorders (NMOSD) and multiple sclerosis (MS) and examine their clinical relevance using multimodal MRI techniques. |
| 1375
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Gray Matter Alterations in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders Evaluated Using Multimodal Neuroimaging Techniques | |
| Christina Andica1, Akifumi Hagiwara1,2, Shimpei Kato1,3, Kazumasa Yokoyama4, Shohei Fujita1,3, Takuya Haruyama1,5, Koji Kamagata1, Masaaki Hori1,6, Nobutaka Hattori4, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 3Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 4Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan, 5Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 6Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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Multiple sclerosis (MS) shares similar clinical and imaging characteristics with neuromyelitis optica spectrum disorders (NMOSD), but a correct diagnosis is essential as treatment options differ considerably. We applied diffusion tensor imaging, neurite orientation dispersion and density imaging, and synthetic quantitative MRI to assess the gray matter (GM) of relapsing-remitting MS (RRMS) and NMOSD patients. Our results demonstrated that multimodal neuroimaging techniques of the GM might be useful for differentiating NMOSD from RRMS, where NMOSD spares most of the GM. In contrast, RRMS group demonstrated extensive demyelination, circumscribed axonal loss predominantly in the limbic areas, and broad neuroinflammation in the cerebellum. |
| 1376 | Declining frontoparietal connectivity is linked to decreased episodic memory performance in multiple sclerosis | |
| Katherine A Koenig1, Jian Lin1, Daniel Ontaneda2, Kedar Mahajan2, Jenny Feng2, Stephen M. Rao3, Sanghoon Kim1, Stephen J Jones1, and Mark J Lowe1 | ||
1Imaging Sciences, The Cleveland Clinic, Cleveland, OH, United States, 2Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States, 3Schey Center for Cognitive Neuroimaging, The Cleveland Clinic, Cleveland, OH, United States |
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Cognitive dysfunction, often including memory loss, impacts about half of those with Multiple Sclerosis (MS). Our work aims to develop a predictor of future memory decline in MS. Using high resolution MRI, we measured resting state functional connectivity of the frontoparietal network in 77 participants with MS. We found that connectivity was related to episodic memory at baseline, and that the one-year change in connectivity was related to the change in memory performance. This finding suggests that functional connectivity can be developed as a predictor of memory decline in MS. |
| 1377 | Thalamic volume relates to future memory performance in Multiple Sclerosis | |
| Katherine A Koenig1, Jian Lin1, Daniel Ontaneda2, Kedar Mahajan2, Jenny Feng2, Stephen M. Rao3, Sanghoon Kim1, Stephen J Jones1, and Mark J Lowe1 | ||
1Imaging Sciences, The Cleveland Clinic, Cleveland, OH, United States, 2Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States, 3Schey Center for Cognitive Neuroimaging, The Cleveland Clinic, Cleveland, OH, United States |
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Cognitive dysfunction is a common symptom of Multiple Sclerosis (MS), and patients would benefit from a measure that estimates their risk of future decline. Previous work suggests that thalamic volume may have value as a predictive measure. Using 7 tesla MRI, we measured thalamic volume in 79 participants with MS. We found a strong cross-sectional relationship between volume and verbal episodic memory. The longitudinal relationship was significant, but was strongly modulated by disease duration. The current report highlights the need for careful modeling of potential confounding variables. |
| 1378 | Brainstem monoaminergic functional and structural connectivity is altered in multiple sclerosis and contributes to fatigue | |
| Tiziana Carandini1,2, Matteo Mancini1,3,4, Iulia Bogdan1, Charlotte Rae5, Andrew Barritt1, Arjun Sethi6, Neil Harrison7, Waqar Rashid1, Mara Cercignani1, and Marco Bozzali1 | ||
1Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom, 2Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy, 3NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada, 4CUBRIC, Cardiff University, Cardiff, United Kingdom, 5School of Psychology, University of Sussex, Brighton, United Kingdom, 6Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom, 7Department of Psychology and Department of Medicine, Cardiff University, Cardiff, United Kingdom |
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Brainstem monoaminergic functional and structural connectivity was investigated in a cohort of patients with multiple sclerosis (MS) and healthy controls. RS-fMRI analysis revealed in MS patients reduced functional connectivity between monoaminergic nuclei and central brain networks that are critically involved in the pathophysiology of MS. Functional alterations were associated to structural disconnections between these nuclei and cortical/subcortical efferent targets in MS patients. Axonal loss in the mesocorticolimbic tracts and in the noradrenergic projections to prefrontal cortex was associated with central fatigue in MS patients, whereas brainstem functional connectivity did not correlate with fatigue. |
| 1379 | Characterizing dynamic functional connectivity in the main clinical phenotypes of multiple sclerosis | |
| Paola Valsasina1, Milagros Hidalgo de la Cruz1, Francesca Sangalli2, Federica Esposito2, Massimo Filippi1,2,3, and Maria A. Rocca1,2 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, 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 |
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In this study, we used dynamic functional connectivity (dFC) to characterize time-varying connectivity abnormalities in patients with multiple sclerosis (MS) with the main disease phenotypes. Compared to controls, MS patients presented overall dFC reduction in all networks, along with increased dFC in sensorimotor, default-mode and frontal/attention networks. While progressive MS showed additional dFC decrease vs relapsing-remitting (RR) MS, in benign MS the overall reduction of dFC was accompanied by significantly increased dFC in the sensorimotor, default-mode and frontal/attention networks. Reduced dFC correlated with more severe clinical disability and worse cognitive performance. |
| 1380 | Direct and inverse relations in default mode network detected by functional and structural substrate of cognition in mild Relapsing Remitting MS. | |
| Arzu Ceylan Has Silemek1, Lukas Fischer1, Jana Pöttgen1,2, Iris-Katharina Penner3,4, Andreas K. Engel5, Christoph Heesen1,2, Stefan M. Gold1,6, and Jan-Patrick Stellmann1,2,7,8 | ||
1Institut für Neuroimmunologie und Multiple Sklerose (INIMS), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, 2Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, 3Klinik für Neurologie, Heinrich Heine Universität Düsseldorf, Düsseldorf, Germany, 4Zentrum für Angewandte Neurokognition und Neuropsychologische Forschung, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany, 5Institut für Neurophysiologie und Pathophysiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, 6Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Klinik für Psychiatrie & Psychotherapie und Medizinische Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF), Berlin, Germany, 7CRMBM AMU-CNRS , Marseille, France, Marseille, France, 8CEMEREM, APHM, CHU Timone, Marseille France, Marseille, France |
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We utilized an approach combining DTI, RS-fMRI and graph-theory to characterize the relation between cognitive profiles and global and local network features in RRMS patients with mild to moderate disability. Closer association of structural network metrics with cognitive abilities were seen compared to standard-MRI outcomes and an interesting pattern of associations with a slight predominance of nodes located in the default mode network (DMN). While structural connectivity always showed a positive correlation with performance, the number of functional connections of nodes was mostly negatively correlated. DMN had inverse and direct relationships with memory, possible indicating adaptive and maladaptive mechanisms. |
| 1381 | 3T Surface-based quantitative susceptibility mapping and T1 relaxometry in relapsing-remitting and progressive multiple sclerosis patients | |
| Nicholas John Eichner1, Reza Rahmanzadeh1, Matthias Weigel1, Muhamed Barakovic1, Po-Jui Lu1, Ludwig Kappos1, Pascal Sati2, Daniel S. Reich2, Yi Wang3, Jens Kuhle1, and Cristina Granziera1 | ||
1Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 2National Institute of Neurological Disordes and Stroke, Bethesda, MD, United States, 3Cornell University, Ithaca, NY, United States |
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We assessed the presence and extent of cortical abnormalities in patients with relapsing remitting and progressive multiple sclerosis by using surface-based quantitative susceptibility mapping and T1 relaxometry analysis. Our results showed that QSM and T1 maps acquired at 3T MRI are sensitive to cortical damage in MS patients and reveal more extensive areas of alterations in progressive than in relapsing-remitting MS. Changes in cortical QSM and T1 suggest chronic demyelination and possibly iron accumulation. |
| 1382 | Unraveling atrophy, iron and myelin changes in the deep gray matter of multiple sclerosis patients | |
| Giuseppe Pontillo1, Sirio Cocozza1, Serena Monti2, Maria Petracca3, Roberta Lanzillo3, Vincenzo Brescia Morra3, Arturo Brunetti1, and Giuseppe Palma2 | ||
1Department of Advances Biomedical Sciences, University of Naples "Federico II", Naples, Italy, 2Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy, 3Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy |
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Alterations of magnetic susceptibility are known to occur in the deep gray matter (DGM) of multiple sclerosis (MS) patients, reflecting a mixture of atrophy, iron and myelin changes. We combined the analysis of quantitative susceptibility mapping (QSM) and R1 relaxometry contrasts in order to obtain iron- and myelin-specific maps, from which we estimated mean iron and myelin concentrations as well as total iron and myelin contents for each DGM structure. We found increased mean iron in the basal ganglia of MS patients compared to healthy controls, probably reflecting atrophy-related concentration, along with actual atrophy-independent iron depletion phenomena in the thalamus. |
| 1383 | QSM and R2* capture physical and cognitive impairment in multiple sclerosis | |
| Vanessa Wiggermann1,2, Shawna Abel3, Irene M Vavasour4, Enedino Hernández-Torres3, Christian Kames1,2, David KB Li4,5, Roger Tam4,5, Shannon H Kolind1,3, Anthony Traboulsee3, and Alexander Rauscher1,2 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Pediatrics, University of British Columbia, Vancouver, BC, Canada, 3Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5MS/MRI Research (Neurology), University of British Columbia, Vancouver, BC, Canada |
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Abnormalities seen on clinical MRIs in the brain and spinal cord of multiple sclerosis (MS) patients lack specificity to myelin. Thus, efficacy of new treatments that aim to protect or remyelinate cannot be fully captured. Quantitative MR metrics, such as R2* and quantitative susceptibility mapping (QSM), have demonstrated good sensitivity to myelin and iron-related tissue changes, but the clinical relevance of such changes has not yet been assessed. We showed that R2* provides good group-wise distinction of MS patients and controls, while QSM values reflected clinically meaningful variations in upper and lower motor function as well as cognitive processing speed. |
| 1384 | Cross-relaxation magnetic resonance imaging for multiple sclerosis | |
| Jung-Jiin Hsu1, Jung-Yu C. Hsu2, and Roland G. Henry1 | ||
1Department of Neurology, University of California San Francisco, San Francisco, CA, United States, 2Department of Cell Biology and Anatomy, National Cheng Kung University, Tainan, Taiwan |
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Magnetization transfer (MT) is of great interest in clinical and pre-clinical imaging to probe tissue properties that cannot be visualized directly with conventional MRI. Current research and development of MT MRI is based on the chemical exchange mechanism. However, it has long been reported that, instead of chemical exchange, the cross-relaxation mechanism is responsible for MT in biological tissue. In this work, a fast MRI method is developed based on cross relaxation for the measurement of the spin–lattice relaxation rate and the MT rate and is applied to characterize multiple sclerosis lesions. |
| 1385 | Trajectories of magnetic susceptibility in the pulvinar provide further evidence for accelerated decline of thalamic iron in multiple sclerosis | |
| Fahad Salman1, Robert Zivadinov1,2, Niels Bergsland3, Michael G. Dwyer1, Bianca Weinstock Guttman4, and Ferdinand Schweser1,5 | ||
1Neuroimaging, Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States, 2MRI Clinical and Translational Research Center, Buffalo, NY, United States, 3Neurology, Buffalo Neuroimaging Analysis Center, Buffalo, NY, United States, 4Neurology, Jacobs Comprehensive MS Center for Treatment & Research, Buffalo, NY, United States, 5Neurology, MRI Clinical and Translational Research Center, Buffalo, NY, United States |
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Several recent cross-sectional studies have observed decreasedmagnetic susceptibility in the thalamus of patients with multiple sclerosis (MS) using Quantitative Susceptibility Mapping (QSM).However, the concavity of the iron concentration trajectory in normal aging renders the interpretation of findings of the previous studies difficult. In the present work, we applied QSM longitudinally in conjunction with a dedicated analysis procedure to obtain optimal longitudinal measurement accuracy. Our longitudinal results confirm previous cross-sectional findings and suggest that thalamic QSM may serve as an imaging marker for disease progression in MS. |
| 1386 | Quantitative susceptibility of thalamus, basal ganglia and normal appearing white matter in multiple sclerosis | |
| Gibran Manasseh1, Mário João Fartaria2,3,4, Tom Hilbert2, Jérémy Deverdun5, Meritxell Bach Cuadra6, Philippe Maeder1, Patric Hagmann1, Tobias Kober2, and Vincent Dunet1 | ||
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne; Siemens Healthcare AG; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France, 6Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Quantitative susceptibility mapping is an emerging MRI technique that may provide additional information on brain tissue with potential applications in multiple sclerosis characterization and monitoring. However, the link between tissue susceptibility and disease evolution is not well known. This study investigates the relationship between basal ganglia, thalamus and normal appearing white matter susceptibility and lesion load, based on a fully automated pipeline for lesion and brain segmentation. Significant correlations were found between lesion load and susceptibility in putamen, thalamus, and white matter, presumably due to myelin loss in basal ganglia and iron loss in normal appearing white matter and thalamus. |
| 1387 | Susceptibility Relaxation based Optimization for Visualization of the Central Vein Sign in Multiple Sclerosis Using Multi-Echo Gradient Echo | |
| Jiahao Li1, Weiyuan Huang2, Xianfu Luo2, Thanh D. Nguyen2, Susan A. Gauthier2, Pascal Spincemaille2, and Yi Wang1,2 | ||
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States |
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The central vein sign (CVS) has been suggested as a potential biomarker for multiple sclerosis (MS) lesion detection and differential diagnosis. A major hurdle for clinical investigation of CVS of MS lesion is the lack of high-quality visualization on current MRI. In this work, we propose a Susceptibility Relaxation based Optimization (SRO) method that uses routinely acquired multi-echo gradient echo magnitude and phase data to generate an image with optimal CVS contrast while preserving lesion signal. Preliminary qualitative and quantitative results demonstrate that SRO provides superior MS lesion and CVS detection compared to prior methods. |
| 1388 | Clinical disability is associated with normal-appearing white matter MTsat in recently diagnosed relapsing-remitting multiple sclerosis. | |
| Elizabeth N. York1, Rozanna Meijboom1, Nicole White1, Maria Valdes Hernandez1, Michael J. Thrippleton1, Peter Connick1, and Adam Waldman1 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom |
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Magnetization transfer saturation (MTsat) is a quantitative measure of white matter (WM) integrity with inherent correction for B1 inhomogeneities and T1 relaxation. MTsat is sensitive to pathological changes in axonal myelin in multiple sclerosis (MS) and may predict clinical disability. MTsat within normal-appearing WM and WM hyperintensities was measured in 76 patients with recently diagnosed relapsing-remitting MS. After accounting for age, MTsat in normal-appearing WM, but not WM hyperintensities, predicted clinical disability (as assessed by Multiple Sclerosis Functional Composite z-scores) in MS when central tendency and standard deviation were considered. This suggests MTsat is sensitive to early MS pathology. |
| 1389 | White matter magnetic resonance diffusion measures in Multiple Sclerosis with overactive bladder | |
| Xixi Yang1,2,3,4, Martina D Liechti1,2, Baris Kanber3,5, Carole H Sudre5,6,7, Gloria Castellazzi3,8, Jiaying Zhang9,10,11, Marios C Yiannakas3, Gwen Gonzales2, Ferran Prados Carrasco3,5,12, Ahmed T Toosy3, Claudia A. M. G Wheeler-Kingshott3,13,14, and Jalesh N Panicker1,2 | ||
1Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom, 2Department of Uro-Neurology, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 3NMR Research Unit, UCL Queen Square MS Centre, London, United Kingdom, 4Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing, China, 5Centre for Medical Image Computing, UCL Department of Medical Physics and Bioengineering, London, United Kingdom, 6School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 7Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom, 8Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 9Department of Perinatal Imaging & Health, School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, 10King’s Health Partners, St Thomas’ Hospital, London, United Kingdom, 11Department of Computer Science and Centre for Medical Image Computing, University College London, London, United Kingdom, 12Universitat Oberta de Catalunya, Barcelona, Spain, 13Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 14Brain MRI 3T Center, IRCCS Mondino Foundation, Pavia, Italy |
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White matter (WM) abnormalities subtending overactive bladder (OAB) symptoms in multiple sclerosis (MS) is poorly understood. MS patients with and without OAB symptoms were recruited to investigate the association between WM changes and OAB symptoms in MS. Lower FA were found in MS with OAB compared with MS without LUTS (p=0.072). An inverse correlation was found between FA and OAB severity (p=0.021) in MS. OAB symptoms are associated with WM anisotropy changes in MS as demonstrated by diffusion-weighted imging (DWI). |
| 1390 | A comparison of seven white matter diffusion microstructure models to study intralesional damage in Multiple Sclerosis | |
| Muhamed Barakovic1,2, Reza Rahmanzadeh1,2, Po-Jui Lu1,2,3, Pietro Maggi4,5, Pascal Sati6, Daniel Reich6, Francesco La Rosa7,8, Meritxell Bach Cuadra7,9, Simona Schiavi10, Alessandro Daducci10, Jens Kuhle1, Matthias Weigel1,2,11, Ludwig Kappos1, and Cristina Granziera1,2 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Neurologic Clinic and Policlinic, Basel, Switzerland, 2Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 3Digital Technology and Innovation Siemens Healthineers, Princeton, NJ, United States, 4Department of Neurology, Saint-Luc University Hospital,Université Catholique de Louvain, Bruxelles, Belgium, 5Department of Neurology, Lausanne University and University Hospital, Lausanne, Switzerland, 6Translational Neuroradiology Section, Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 7Signal Processing Laboratory (LTSS), Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Radiology Department, Center for Biomedical Imaging, Lausanne University and University Hospital, Lausanne, Switzerland, Basel, Switzerland, 9Radiology Department, Center for Biomedical Imaging, Lausanne University and University Hospital Lausanne, Lausanne, Switzerland, 10Department of Computer Science, University of Verona, Verona, Italy, 11Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland |
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In this study, we implemented seven microstructure models based on diffusion-weighted MRI data and investigated their sensitivity in assessing between-lesion differences in axonal content in multiple sclerosis lesions. The result of the analysis showed that all the models selected report lower intracellular volume fraction in white matter lesions compared to normal-appearing white matter. Few of the methods highlighted high sensitivity; however, they also show a different spectrum of ranges in terms of intracellular volume fraction. Whether one of the methods reflect a reliable assessment will be addressed in further studies using postmortem material. |
| 1391 | Automated atlas-based mapping of white matter tract damage to multiple sclerosis symptoms | |
| Veronica Ravano1,2,3, Michaela Andelova4, Mazen Fouad A-Wali Mahdi1, Reto Meuli2, Tomas Uher4, Jan Krasensky5, Manuela Vaneckova5, Dana Horakova4, Tobias Kober1,2,6, and Jonas Richiardi1,2 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Medical Imaging Processing, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Neurology and Center of Clinical Neuroscience First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 5MR unit, Department of Radiology First Facutly of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 6LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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In multiple sclerosis, the standard radiological metrics correlate poorly with clinical disability (‘clinico-radiological paradox’). To help filling this gap, we propose to map neurological impairments to white matter tract damage resulting from lesions. Because diffusion imaging is typically not part of multiple sclerosis clinical workups, quantitative tract damage metrics were extracted using a tractography atlas and an automated lesion segmentation algorithm. We were able to successfully identify which functional system (EDSS sub-score) was affected by damage on given tracts. These findings suggest the usefulness of using our fully automated atlas-based approach to study mechanisms of neurological diseases. |
| 1392 | Optimization and evaluation of multi-compartment diffusion MRI using the spherical mean technique for practical multiple sclerosis imaging | |
| Sean P Devan1,2, Xiaoyu Jiang1,3, Francesca Bagnato4, and Junzhong Xu1,3,5,6 | ||
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Neuroimaging Unit/Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 6Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States |
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Multi-compartment diffusion imaging using the spherical mean technique (SMT) is a recently developed method that provides more specific information for probing axonal properties in e.g., multiple sclerosis (MS) patients. However, the accuracy and precision of SMT have not been comprehensively investigated to date. We used Cramér-Rao Lower Bound (CRLB) analysis and MS patient data to optimize an SMT acquisition protocol for practical MS imaging. Second, we used computer simulations to comprehensively evaluate the accuracy and precision of SMT for reporting axonal information under various pathologic conditions. The results support better implementation and interpretation of SMT imaging for MS patients. |
| 1393 | Diffusion Tensor Imaging on Three Pathways: Effect of Ibudilast in Progressive Multiple Sclerosis | |
| Xuemei Huang1, Ken E. Sakaie1, Jian Lin1, Robert J. Fox1, and Mark J. Lowe1 | ||
1Imaging Institute, U-15, Cleveland Clinic, Cleveland, OH, United States |
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Diffusion Tensor Imaging (DTI) analysis was performed in the multi-site phase II trial of ibudilast in progressive multiple sclerosis. This study extends that analysis to three pathways to examine DTI measures in 31 progressive MS patients on treatment and 31 patients on placebo. Probabilistic tracking maps were generated. Mean pathway diffusion measures: longitudinal diffusivity (LD) and transverse diffusivity (TD) are reported. We report here that diffusion measures don’t significantly change over time in the treatment group but we observe a significant change over time in the placebo group. |
| 1394 | Evaluation of different diffusivity and cognitive measures in subcortical regions in healthy subjects and RRMS patients. | |
| Cristian Montalba1,2,3, Mariana Zurita1,4, Tomás Labbé1,5, Marcelo Andia1,2, Miguel Guevara6, Jean-François Mangin7, Juan Pablo Cruz2, Ethel Ciampi8,9, Claudia Cárcamo5,8, Pamela Guevara6, and Sergio Uribe1,2,3 | ||
1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 4Institute of Cognitive Neuroscience, University College London, London, UK., London, United Kingdom, 5Interdisciplinary Center of Neurosciences, Pontificia Universidad Católica de Chile, Santiago, Chile, 6Faculty of Engineering, Universidad de Concepción, Concepción, Chile, Concepción, Chile, 7UNATI, Neurospin, CEA,, Université Paris-Saclay, Gif-sur-Yvette, France, 8Neurology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 9Neurology Service, Hospital Dr. Sótero del Río, Santiago, Chile, Santiago, Chile |
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We evaluated different diffusivity measurements of subcortical regions that can be related with different test scores in FAS, SDMT and PASAT test. For this purpose, we evaluated the FA, MD, RD and AD diffusivity maps of U-fibers with the test scores in healthy subjects and RRMS patients. In our sample, FAS test scores are significant linear related with Postcentral gyrus with RD and MD maps in RRMS patients. PASAT test scores are significant linear related with Precentral gyrus with FA and RD maps in healthy subjects. There is no linear relationship between SDMT test score and diffusivity maps. |
| 1395 | Quantitative MR diffusion parameter in normal appearing white matter (NAWM) – a comparison of multiple sclerosis patients and healthy controls | |
| Daniel Güllmar1, Renat Sibgatulin1, Stefan Ropele2, and Jürgen R Reichenbach1,3 | ||
1Medical Physics Group / IDIR, Jena University Hospital, Jena, Germany, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Michael-Stifel-Center for Data driven sciences, Friedrich-Schiller-University Jena, Jena, Germany |
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Quantitative MR diffusion imaging in multiple sclerosis is a promising tool for deciphering the mechanisms and processes during the disease progression. We employed new MR diffusion acquisition techniques (like SMS) as well as advanced post-processing (like NODDI, SMT) in order to investigate the differences in normal appearing white matter of MS patients in contrast to healthy volunteers. |
| 1396 | Diffusion tractography evaluation of specificity of PASAT and SDMT to cognitive pathway in multiple sclerosis | |
| Pallab K Bhattacharyya1,2, Robert Fox3, Jian Lin1, Hong Li4, Ken Sakaie1, and Mark Lowe1 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Radiology, Cleveland Clinic Lerner College of Medicine, CLEVELAND, OH, United States, 3Neurological Institute, Cleveland Clinic, Cleveland, OH, United States, 4Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States |
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Paced auditory serial addition test (PASAT) and symbol digit modalities test (SDMT) are two most commonly used tests to evaluate cognitive performance in MS. The specificity of the two tests to cognitive network in brain was evaluated with diffusion tensor imaging and correlating transverse diffusivity (TD) along different functionally relevant pathways with PASAT/SDMT scores. While SDMT showed association with TD along all pathways (and whole brain white matter), PASAT was associated with only frontoparietal pathway, establishing its specificity to cognitive network. |
| 1397 | Gray matter relaxation rates show different correlation patterns for cognitive impairment and physical disability in Multiple Sclerosis. | |
| Maria Teresa Cassiano1, Roberta Lanzillo2, Bruno Alfano3, Teresa Costabile2, Marco Comerci3, Anna Prinster3, Marcello Moccia2, Rosario Megna3, Vincenzo Brescia Morra2, Arturo Brunetti1, and Mario Quarantelli3 | ||
1Department of Advanced Biomedical Sciences, University "Federico II", Naples, Italy, 2Department of Neurosciences, Reproductive Science and Odontostomatology, University "Federico II", Naples, Italy, 3Biostructure and Bioimaging Institute, National Research Council, Naples, Italy |
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To assess voxelwise in gray matter the correlation between relaxation rates and both physical and cognitive impairment in MS, R1 and R2 relaxation rate maps from 241 Relapsing-Remitting MS patients were assessed voxelwise for correlation with EDSS and the percentage of impaired cognitive test. Inverse correlation between EDSS and R2 were detected throughout the brain, while inverse correlations with R1 were mostly limited to perirolandic and supramarginal cortices. Cognitive impairment correlated negatively with R1, and to a lesser extent with R2, in the limbic system and dorsolateral prefrontal cortices. |
| 1398 | Longitudinal progression of cortical thinning differs across MS phenotypes and is clinically relevant: a multicentre study | |
| Paola Valsasina1, Maria A. Rocca1,2, Milagros Hidalgo de la Cruz1, Claudio Gobbi3, Antonio Gallo4, Chiara Zecca3, Alvino Bisecco4, and Massimo Filippi1,2,5 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland, 4Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 5Vita-Salute San Raffaele University, Milan, Italy |
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In this study, we used cortical thickness analysis to investigate the evolution over time of cortical grey matter atrophy in a multicenter cohort of patients with multiple sclerosis (MS) acquired at 3 European sites. We detected a different susceptibility to cortical damage across the different clinical phenotypes of MS, with the involvement of temporal, parietal and occipital regions in relapsing-remitting MS, and an additional frontal involvement in progressive MS. Different annualized cortical thinning rates were found across MS clinical phenotypes. Cortical thinning in frontal and temporal areas was crucial for identifying patients with more severe disability at follow-up. |
| 1399 | Changes of cortical gray matter myelin and microstructure in multiple sclerosis (MS) assessed with quantitative ihMT and MT | |
| Fanny Munsch1, Gopal Varma1, Manuel Taso1, Shahamat Tauhid2, Olivier M. Girard3, Guillaume Duhamel3, Rob Bakshi4, and David Alsop1 | ||
1Radiology, Division of MRI Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 3CRMBM, Aix Marseille Univ, CNRS, Marseille, France, 4Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States |
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Inhomogeneous magnetization transfer (ihMT) and magnetization transfer (MT) have differential sensitivity to myelin and can be used to characterize cortical gray matter. We compared cortical surface-based analyses of ihMT and MT between multiple sclerosis (MS) patients and age-matched healthy volunteers. IhMT at mid-thickness decreased less than MT in most cortical regions of MS patients. Integrated signal across cortical depth showed less spatial variability and clear decrease of ihMT but less than MT. As ihMT is understood to be more specific to myelin than MT, these findings suggest loss of cortical nonmyelinated cells and structures exceed cortical myelin loss in MS. |
| 1400 | "Comparative analysis of 3D DIR and 3D FLAIR in cases of acute optic neuritis" | |
| Vivek Shriram Murumkar1, Jitender Saini1, Nethravati Manjunath2, Dhritiman Chakraborty3, and Rakesh Gupta4 | ||
1Neuroimaging and interventional radiology, national institute of mental health and neuroscineces (NIMHANS) bangalore, india, Bangalore, India, Bangalore, India, 2Neurology, national institute of mental health and neuroscineces (NIMHANS) bangalore, india, Bangalore, India, Bangalore, India, 3Neuroanaesthesia, national institute of mental health and neuroscineces (NIMHANS) bangalore, india, Bangalore, India, Bangalore, India, 4radiology, Fortis Hospital, Gurugram, India |
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Optic neuritis is presenting feature in 15-20% cases of MS and 50% cases of MS have optic neuritis during course of illness. Signals from CSF and intraorbital fat are main hurdles in optic nerve imaging, 3D FLAIR and 3D DIR are used to study optic nerve pathologies as they suppress fat and CSF signals. DIR nulls signal from NAWM providing inherent contrast. 3D DIR and 3D FLAIR was done in 31 case of acute optic neuritis and 30 controls. We found higher contrast rates, sensitivity and negative predictive value for the 3D DIR than 3D FLAIR in acute optic neuritis |
| 1401 | A pilot in vivo investigation of peripheral nerve damage in multiple sclerosis using magnetisation transfer ratio | |
| Marios C. Yiannakas1, Marco Battiston1, Francesco Grussu1,2, Ratthaporn Boonsuth1, Rebecca S. Samson1, Torben Schneider3, Masami Yoneyama4, Ferran Prados1,5,6, Carmen Tur1, Sara Collorone1, Rosanna Cortese1, Olga Ciccarelli1, and Claudia A.M. Gandini Wheeler-Kingshott1,7,8 | ||
1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Philips Healthcare, Guildford, Surrey, United Kingdom, 4Philips Japan, Minatoku, Tokyo, Japan, 5Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Universitat Oberta de Catalunya, Barcelona, Spain, 7Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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Evidence from histopathological studies has demonstrated the involvement of the peripheral nervous system in multiple sclerosis (MS), specifically alteration in myelin content and, to a lesser extent, axonal degeneration. However, evidence from objective investigations in vivo is lacking. In this pilot study, the lumbar plexus and the sciatic nerve are investigated in people with MS using a previously optimised magnetisation transfer ratio (MTR) protocol developed in healthy controls. Results demonstrate reduced MTR values in both anatomical regions studied, consistent with histopathological data, and as such highlighting a need for further investigations in a larger sample population. |
| 1402 | Reduced field-of-view multi-shell diffusion-weighted imaging of the sciatic nerve: Application to multiple sclerosis | |
| Marios C. Yiannakas1, Francesco Grussu1,2, Marco Battiston1, Ratthaporn Boonsuth1, Rebecca S. Samson1, Torben Schneider3, Masami Yoneyama4, Ferran Prados1,5,6, Carmen Tur1, Sara Collorone1, Rosanna Cortese1, Olga Ciccarelli1, and Claudia A. M. Gandini Wheeler-Kingshott1,7,8 | ||
1Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Philips Healthcare, Guildford, Surrey, United Kingdom, 4Philips Japan, Minatoku, Tokyo, Japan, 5Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 6Universitat Oberta de Catalunya, Barcelona, Spain, 7Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy |
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Ex vivo investigations have demonstrated the involvement of the peripheral nervous system in multiple sclerosis (MS). However, the use of advanced imaging methods to study individual peripheral nerves in vivo, such as the sciatic nerve, has been hindered by a number of technical challenges. In this pilot in vivo study, we explore the feasibility of acquiring multi-shell diffusion-weighted imaging (DWI) metrics in the sciatic nerve of people with relapsing-remitting MS (RRMS) using reduced field-of-view echo planar imaging. DWI metrics in people with RRMS display changes in comparison to healthy controls, suggesting that the structural integrity of the nerve is compromised. |
| 1403 | Cervical cord myelin abnormality is associated with clinical disability in multiple sclerosis | |
| Irene Margaret Vavasour1,2, Lisa Eunyoung Lee3, Adam V Dvorak2,4, Shawna Abel3, Poljanka Johnson3, Stephen Ristow3, Cornelia Laule1,2,4,5, Roger Tam1,6, David KB Li1,3, Nathalie Ackermans3, Alice Schabas3, Jillian Chan3, Ana-Luiza Sayao3, Virginia Devonshire3, Robert Carruthers3, Anthony Traboulsee3, and Shannon H Kolind1,2,3,4 | ||
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 3Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 5Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada |
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Damage to the spinal cord is common in multiple sclerosis (MS) and is an important contributor to physical disability. While spinal cord cross sectional area (CSA) is correlated with disability, CSA is a non-specific measure of tissue damage. The addition of cervical cord myelin water imaging, which measures myelin-related abnormalities, to cord area resulted in better correlations with MS clinical disability than cord CSA alone. In particular, myelin abnormality + CSA was best correlated with 9-hole peg test which requires more fine motor skills and therefore could be strongly influenced by damage to white matter. |
| 1404 | Evaluation of DTI Indices in the Cervical Spinal Cord as Markers of Sensorimotor Impairment in MS Patients with Mild Disability | |
| Kristin P. O'Grady1,2, Kurt G. Schilling2, Mereze Visagie2, Sanjana Satish2, Shekinah Malone3, Atlee Witt2, Anna Combes2, Richard Dylan Lawless2,4, Colin D. McKnight1, Francesca R. Bagnato5, and Seth A. Smith1,2,4 | ||
1Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Meharry School of Medicine, Meharry Medical College, Nashville, TN, United States, 4Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 5Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Spinal cord pathology is integral to disease symptoms and progression in multiple sclerosis (MS), but imaging methods developed and optimized for studying the spinal cord in vivo with clinically relevant scan times are lacking. Here, we applied a clinically feasible diffusion tensor imaging (DTI) sequence to examine relationships between imaging measures of microstructural damage in the spinal cord and lower extremity functional deficits in low-disability, relapsing-remitting MS patients. Our results show significant correlations between gray matter radial diffusivity and measures of sensation and motor function. |
| 1405 | Phase Sensitive Inversion Recovery (PSIR) imaging as surrogate for T1 mapping: applications to the spinal cord of multiple sclerosis patients | |
| Nico Papinutto1, Shuiting Cheng1, Mahir Khan1, Jung-Jiin Hsu1, and Roland G Henry1 | ||
1UCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, United States |
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Acquiring images on a phantom and 54 multiple sclerosis patients, we explored the feasibility of T1 mapping using a fast 2D inversion recovery method based on a TrueFISP sequence. We also explored the relationship between T1 values and the intensity of 2D PSIR images. The fast T1 mapping method was shown to be precise, and PSIR intensities shown to have a strong correlation with T1. PSIR has been extensively used to segment in-vivo gray and white matter tissues in the spinal cord, and this study suggests that it can simultaneously provide microscopic information related to the longitudinal relaxation time T1. |
| 1406 | The Effect of AREX Correction on APT CEST MRI of Lesions within the Spinal Cord of MS Patients | |
| Richard D Lawless1,2, Kristin O'Grady1,3, Mereze Visagie1, Anna Combes1, Haley Feiler1, Francesca Bagnato4, and Seth A. Smith1,2,3 | ||
1Vanderbilt University Institute of Imaging Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Spinal cord damage in multiple sclerosis often leads to the formation of inflammatory lesions. APT CEST has been proposed as an MRI biomarker capable of detecting the underlying biochemical changes associated with lesion formation, however, CEST findings are susceptible to confounding influences such as the macromolecular magnetization transfer contribution and changes to longitudinal relaxation. AREX is a proposed method which corrects for these contributors and may improve measurement of the CEST component in vivo. In this study we sought to compare MT- and T1-corrected AREX to an uncorrected CEST quantification method in SC lesions of MS patients. |
| 1407 | Clinical relevance of multiparametric MRI assessment of spinal cord damage in multiple sclerosis | |
| Elisabetta Pagani1, Raffaello Bonacchi1,2, Alessandro Meani1, Laura Cacciaguerra1,2, Ermelinda De Meo1,2, Paolo Preziosa1,2, Maria A. Rocca1,2, and Massimo Filippi1,2,3 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, 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 |
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Cervical spinal cord involvement is common in multiple sclerosis (MS). We performed a comprehensive multiparametric MRI study to explore pathophysiological substrates of damage and to identify the most accurate imaging predictors of disability and disease course. We found that the processes contributing to disability differ according to the stage of the disease. In relapsing-remitting MS patients, lesions and microstructural damage to cervical spinal cord tracts have a prominent role, whereas in progressive MS patients, cervical cord grey matter atrophy becomes clinically meaningful. |
| 1408 | Microstructure changes in secondary progressive multiple sclerosis measured using advanced quantitative MRI of the brain and spine | |
| Marco Battiston1, Carmen Tur1,2, Marios C. Yiannakas1, Francesco Grussu1,3, Torben Schneider4, Daniele Martinelli5, Baris Kanber6, Ferran Prados1,6,7, Patrizia Pajak1, Olga Ciccarelli1, Rebecca S. Samson1, and Claudia A.M. Gandini Wheeler-Kingshott1,8,9 | ||
1NMR Research Unit, UCL Queen Square MS Centre, Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Neurology Department, , Luton and Dunstable University Hospital, Luton, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Philips Healthcare, Guilford, United Kingdom, 5IRCCS Mondino Foundation, Pavia, Italy, 6Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 7Universitat Oberta de Catalunya, Barcelona, Spain, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain MRI 3T Center, IRCCS Mondino Foundation, Pavia, Italy |
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Multiple Sclerosis (MS) is a complex disease whose mechanisms of progression still remain unclear. The use of quantitative MRI techniques in a multi-modal fashion, i.e. acquisition of more than one contrast type, can help to non-invasively measure changes in the tissue at a microstructural level during the disease course. Moreover, evidence of spinal cord involvement and its role in the diagnosis and prognosis is mounting. Here, we aim to address both needs by developing a multi-modal qMRI protocol for joint investigation of brain and spinal cord microstructure, and we report findings from a small cohort of people with MS. |
| 1409 | Reduced fibre-specific measures in multiple sclerosis patients with cerebellar dysfunction | |
| Sanuji Gajamange1, Frederique Boonstra2, Gustavo Noffs1,3, Thushara Perera1,4, Vilija Jokubaitis2, Adam Vogel1,4,5, Andrew Evans3,4, Helmut Butzkueven2, Anneke van der Walt2, and Scott Kolbe2 | ||
1The University of Melbourne, Melbourne, Australia, 2Monash University, Melbourne, Australia, 3Royal Melbourne Hospital, Melbourne, Australia, 4The Bionics Institute, Melbourne, Australia, 5University of Tübingen, Tübingen, Germany |
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Cerebellar dysfunction is a common feature of multiple sclerosis (MS), leading to disabling symptoms such as tremor. In MS, brain atrophy is the most accepted correlate of neurodegeneration; however cerebellar atrophy does not seem to correlate with the degree of cerebellar dysfunction. Here we explore axonal degeneration, a key driver of disability, with a fibre-specific marker based on diffusion-weighted MRI – fibre density and fibre bundle cross-section. We found that loss of cerebellar fibre density and fibre cross-section was associated with increased clinical cerebellar dysfunction. Fibre-specific measures could provide a useful marker of cerebellar dysfunction in MS. |
| 1410 | Optimized patient-specific refocusing control in turbo spin echo FLAIR for improved detection of infratentorial lesions in multiple sclerosis | |
| Refaat E Gabr1, Luning Wang2, John A Lincoln3, and Ponnada A Narayana1 | ||
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States, 2Philips healthcare, Gainesville, FL, United States, 3Neurology, University of Texas Health Science Center at Houston, Houston, TX, United States |
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Detection of infratentorial lesions is important for diagnosis of multiple sclerosis. However, infratentorial lesions are hard to detect on conventional FLAIR protocols. In this work, we optimized the refocusing flip angle in the turbo spin echo readout of 3D FLAIR to enhance infratentorial lesion contrast in individual patients. T1, T2, and proton density measured in the brain stem and cortical gray matter were used to calculate the refocusing angle that maximizes the contrast-to-noise ratio. The patient-specific approach was assessed in 8 MS patients. Improved infratentorial lesion contrast was achieved in most of the cases. |
| 1411 | Pediatric-Onset Multiple Sclerosis: Imaging with Focus on Posterior Fossa Involvement | |
| Laleh Eskandarian1,2, Bahadır Konuskan3, Hacer Dasgin2, Ismail Solmaz3, Rahsan Gocmen4, Banu Anlar4, and Kader Karli Oguz2,4 | ||
1Neuroscience Department, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Faculty of Medicine, Pediatric Neurology, Hacettepe University, Ankara, Turkey, 4Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey |
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Pediatric-onset-Multiple-Sclerosis (POMS) has been reported to have larger and higher number of T2 lesions as with more frequent posterior fossa involvement compared to adults. We aimed to analyze POMS patients morphological, microstructural alterations and their correlates with clinical characteristics with emphasis on posterior system. SUIT,Freesurfer and TBSS were used for spatialized parcellation, and analysis. Cerebellum except paramedian structures and cerebral cortices showed volume reductions, cerebral white matter and midbrain showed reduced FA and increased MD,AD,RD. Total and periventricular lesion loads, thalamic volumes showed correlations with special clinical metrics. Multiparametric brain MRI may reveal information on tissue changes and clinical correlates. |
| 1412 | CNN-based classification of multiple sclerosis using BOLD venographic imaging (SWI) data | |
| Alina Lopatina1, Renat Sibgatulin1, Stefan Ropele2, Jürgen R Reichenbach1,3, and Daniel Güllmar1 | ||
1Medical Physics Group / IDIR, Jena University Hospital, Jena, Germany, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Michael Stifel Center for Data-driven Sciences, Friedrich-Schiller-University Jena, Jena, Germany |
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Convolutional neural network (CNN) was proposed to identify multiple sclerosis patients and healthy subjects while susceptibility-weighted imaging (SWI) was used for MRI scans preprocessing in order to disclose important features hidden in brain venograms. Using only one two-dimensional slice for each subject makes the proposed algorithm easy-applied and useful for clinical practice. |
| 1413 | Cerebral vasoreactivity reveals white matter tracts alteration in multiple sclerosis patients with motor symptoms | |
| François-Louis Collemiche1, Céline Charroud2, Aude Metzger3, Xavier Ayrignac4, Pierre Labauge4, Nicolas Menjot de Champfleur4, Emmanuelle Le Bars4, and Jérémy Deverdun4 | ||
1Neuroradiology, Hospital Gui de Chauliac, MONTPELLIER, France, 2Center for Mind/Brain Science, Rovereto, Italy, 3Hospital Pierre Wertheimer, Lyon, France, 4Hospital Gui de Chauliac, MONTPELLIER, France |
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One hypothesis in physiopathological mechanisms of multiple sclerosis (MS) involves astrocyte metabolism disruption as a consequence of axonal dysfunction, leading to cerebral vasoreactivity alterations (CVR). The aim was to explore a possible link between axonal tracts alterations and CVR disruption. 35 MS patients underwent MR. We selected motor clinical symptoms, and compared cerebral vasoreactivity and DTI maps. Both poCVR and DTI maps showed vasoreactivity alterations in white matter regions. Maps outlined the Inferior Fronto-Occipital Fasciculus in patients with “difficulties using upper limbs”. Vasoreactivity could be a new biomarker for assessing the evolution of white matter tracts’ alterations in MS follow-up. |
| 1414 | Segmentation of contrast enhancing lesions in multiple sclerosis using deep learning and a large cohort study | |
| Refaat E Gabr1, Ivan Coronado1, and Ponnada A Narayana1 | ||
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States |
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Multiple sclerosis (MS), a demyelinating disease of the central nervous system, affects more than two million people worldwide. Contrast enhancing lesions are thought to reflect active disease state and play a key role in MS management. Deep learning (DL) based on convolutional neural networks has reached state-of-art performance on semantic segmentation tasks. Using annotated images for 398 MS patients, we evaluated DL performance on segmentation of enhancing lesions. Our approach yielded Dice similarity coefficient of 0.78, true positive rate of 0.91, and false positive rate of 0.28 for test data. Network performance was excellent for enhancement volumes ≥70 µl. |
| 1415 | Combined 3D FLAIR and T2-weighted (FLAIR3) improves the detection of infratentorial lesions in multiple sclerosis | |
| Refaat E Gabr1, John A Lincoln2, Arash Kamali1, Xiaojun Sun1, Khader M Hasan1, and Ponnada A Narayana1 | ||
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States, 2Neurology, University of Texas Health Science Center at Houston, Houston, TX, United States |
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Infratentorial lesions play an important role in the diagnosis of multiple sclerosis (MS), but are challenging to detect on conventional FLAIR protocols. Synthetic FLAIR3 images were generated by combining FLAIR and T2-weighted images to improve lesion contrast while maintaining CSF suppression. We evaluated FLAIR3 for detecting infratentorial lesions in 10 patients with MS. Our results show 11-fold increase in the lesion contrast-to-noise ratio and 163% increase in the number of detected lesions using FLAIR3 as compared to FLAIR. |
| 1416 | Shape and Spatial Pattern Analysis through Covariance-based Estimations of MS lesions: the SSPACE-MS study | |
| Carmen Tur1,2, Francesco Grussu1,3, Ferran Prados1,4,5, Baris Kanber4, Thalis Charalambous1,6, Declan T. Chard1,7, Olga Ciccarelli1,7, and Claudia A.M. Gandini Wheeler-Kingshott1,8,9 | ||
1UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 2Neurology, Luton and Dunstable University Hospital, Luton, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Centre for Medical Image Computing, Medical Physics and Biomedical Engineering department, University College London, London, United Kingdom, 5e-Health center, Universitat Oberta de Catalunya, Barcelona, Spain, 6Department of Medicine, St. George’s University of London, London, United Kingdom, 7University College London Hospitals Biomedical Research Centre, National Institute for Health Research, London, United Kingdom, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy |
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Lesion load is the main predictor of future disability in multiple sclerosis (MS) but its predictive power is limited possibly because key aspects of lesions, such as their spatial distribution, morphology or pathological substrate are not being considered. Here we demonstrate the relevance of shape and spatial features of white matter lesions in the development of disability in MS through a novel approach. This new methodological framework (SSPACE-MS) is based on the analysis of the covariance matrix defined by the spatial position of lesional voxels. It can be applied longitudinally and is easily implementable in clinical practice. |
| 1417 | Clinical Evaluation of a Fully Convolutional Neural Network for Automatic MS Lesion Segmentation on MRI | |
| Amalie Monberg Hindsholm1, Claes Nøhr Ladefoged1, Flemming Littrup Andersen1, Stig Præstekjær Cramer1, Liselotte Højgaard1, and Ulrich Lindberg1 | ||
1Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet University, Copenhagen, Denmark |
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Automatic segmentation of MRI-visible multiple sclerosis (MS) lesions could potentially reduce assessment time and inter- and intra-rater variability. Recently, automatic methods using deep convolutional neural networks (CNN) have obtained great results in image segmentation. This work implements a state-of-the-art 2D CNN-based segmentation method from literature and extends and recalibrates it to a local MS dataset of 91 patients. A clinical evaluation is performed on an independent MS dataset of 53 patients, where 94% of predicted segmentation masks were deemed valuable for clinical use. |
| 1418 | Measurement of white matter atrophy in multiple sclerosis using diffusion weighted imaging | |
| Elisabetta Pagani1, Loredana Storelli1, Paolo Preziosa1,2, Federica Esposito2, Laura Cacciaguerra1,2, Massimo Filippi1,2,3, and Maria A. Rocca1,2 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, 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 |
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Gray matter is more relevant than white matter (WM) atrophy in explaining clinical disability and cognitive impairment in multiple sclerosis (MS). However, WM is a complex structure whose fiber orientation should be considered when investigating its morphology. In a group of MS patients and healthy controls, we applied constrained spherical deconvolution and fixel-based morphometry to estimate the distribution of WM fiber bundles and their cross-section area as a measure of atrophy. We found that the application of this approach in MS improved when accounting for the presence of lesions and that atrophy was specific of WM fiber bundles. |
| 1419 | Detection of multiple sclerosis lesion with T1 and T2* MR Fingerprinting | |
| Ingo Hermann1,2, Ralf Schmidt1, Benedikt Rieger1, Eloy Martinez-Heras3, Elisabeth Solona3, Sara Llufriu3, Achim Gass4, Lothar R. Schad1, and Frank G. Zöllner1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany, 2Magnetic Resonance Systems Lab, Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 3Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain, 4Department of Neurology, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany |
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We evaluated an MRF-EPI sequence for simultaneous T1 and T2* quantification in 44 patients with multiple sclerosis (MS) lesions at two scanners. We found significantly increased T1 and T2* times in MS lesions with differences up to 100 %. MS lesions resulted in broad distribution in the T1, T2* space compared with dense, separated clusters for white and gray matter. |
| 1420 | Myelin water imaging of Multiple Sclerosis Lesions | |
| Caroline Köhler1, Hannes Wahl1, Paul Kuntke1, Tjalf Ziemssen2, Jennifer Linn1, and Hagen H. Kitzler1 | ||
1Institut und Poliklinik für Diagnostische und Interventionelle Neuroradiologie, University Hospital Carl Gustav Carus, Dresden, Germany, 2Neurology, University Hospital Carl Gustav Carus, Dresden, Germany |
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Myelin water imaging allows the assessment of relative myelination by estimating the myelin water fraction (MWF). This work investigated if the degree of MWF loss in multiple sclerosis is associated with T1 hypointense and isointense lesions. Within n = 1668 FLAIR lesions of n = 63 MS patients, 79% had a hypointense correlate, and 21% of the lesions had an isointense appearance on non-enhanced T1-weighted images. Significant differences were found for hypointense (MWFmean = 0.126) and isointense (MWFmean = 0.185) lesions. These results show varying degrees of myelin reduction. |
| 1421 | Simultaneous T2 and T2* Mapping of Multiple Sclerosis Lesions with a Radially Sampled RARE-EPI Hybrid | |
| Carl Herrmann1, Eckart Grönerwäller1, Antje Els1, Joseph Kuchling2,3,4, Friedemann Paul2,3,4, and Thoralf Niendorf1,2 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.) Max Delbrück Center For Molecular Medicine in the Helmoltz Association, Berlin, Germany, 2Experimental und Clinical Research Center (ECRC), Charité-Campus Berlin-Buch, Berlin, Germany, 3NeuroCure Clinical Research Center, Charité – Universitätsmedizin, Berlin, Germany, 4Department of Neurology, Charité – Universitätsmedizin, Berlin, Germany |
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MRI examinations commonly involve a series of multiple imaging contrasts and MR-metrics, resulting in long examination times and propensity to motion and slice misregistration. Dual or multi-contrast techniques offer substantial scan time reduction. Recognizing this opportunity this work presents a dual contrast RARE-EPI hybrid, that provides T2 (RARE module) and T2* (EPI module) contrast and facilitates simultaneous T2 and T2* mapping in a single radially (under)sampled scan (2-in-1 RARE-EPI). The applicability of 2-in-1 RARE-EPI is demonstrated in an in vivo feasibility study involving patients suffering from multiple sclerosis and healthy controls and benchmarked versus conventional T2 and T2* weighted/mapping techniques. |
| 1422 | Monitoring the treatment effect of Tecfidera on MS lesion susceptibility with quantitative susceptibility mapping | |
| Xianfu Luo1,2, Elizabeth Sweeney3, Ulrike W. Kaunzner4, Weiyuan Huang1, David Pitt5, Yi Wang1, Susan Gauthier4, and Thanh D. Nguyen1 | ||
1Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States, 2Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou, China, 3Department of Healthcare Policy and Research, Weill Medical College of Cornell University, New York, NY, United States, 4Department of Neurology, Weill Medical College of Cornell University, New York, NY, United States, 5Yale University, New Haven, CT, United States |
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Quantitative susceptibility mapping (QSM) has emerged as a sensitive MRI tool for in vivo monitoring inflammation in MS brain. Low-grade inflammation in chronic active lesions have been shown to contain iron-enriched, activated microglia and macrophages on histopathology and have been linked to greater tissue damage. QSM can provide accurate in vivo quantification of iron-laden inflammatory cells. It might be used to assess treatment response. |
| 1423 | Delayed conscious access assessed by structural connectivity and task-based fMRI using visual backward masking paradigm in Multiple Sclerosis. | |
| Arzu Ceylan Has Silemek1, Jean-Philippe Ranjeva2,3, Bertrand Audoin2,3, Christoph Heesen1,4, Stefan M. Gold1,5, and Jan-Patrick Stellmann2,3 | ||
1Institut für Neuroimmunologie und Multiple Sklerose (INIMS), Universitätsklinikum Hamburg-Eppendorf (UKE), Hamburg, Germany, 2CRMBM AMU-CNRS , Marseille, France, Marseille, France, 3CEMEREM, APHM, CHU Timone, Marseille France, Marseille, France, 4Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany, 5Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Klinik für Psychiatrie & Psychotherapie und Medizinische Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF), Berlin, Germany |
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Visual backward masking paradigm (VB) distinguishes between conscious and unconscious processes and evaluates fundamental brain functions and cognition. Delayed consciousness was shown as related with white matter damage in early Multiple Sclerosis (MS). However, it is unknown, if regional brain activity and structural connectivity are related to delayed consciousness in MS. We investigated the impaired access to consciousness in MS[25(MS)/37(controls)] using task-based-fMRI based on the VB and its relation with structural connectivity. Lower activation was detected in unconscious-processing in MS vs controls. Strong relationship between VB-performance and lower structural connectivity in ventral-attention/visual/default-mode networks supports the sensitivity of VB in MS. |
| 1424 | Network alterations at rest in multiple sclerosis patients with tremor | |
| Frederique Boonstra1, Gustavo Noffs2,3, Thushara Perera2,4, Vilija Jokubaitis5, Adam Vogel2,4,6, Andrew Evans3,4, Helmut Butzkueven5, Anneke van der Walt5, and Scott Kolbe5 | ||
1Neuroscience, Monash University, Melbourne, Australia, 2University of Melbourne, Melbourne, Australia, 3Royal Melbourne Hospital, Melbourne, Australia, 4Bionics Institute, Melbourne, Australia, 5Monash University, Melbourne, Australia, 6University of Tübingen, Tübingen, Germany |
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Almost half of patients with multiple sclerosis (MS) experience tremor, which significantly worsens disability. Pathophysiology studies of MS tremor have highlighted the importance of the cerebello-thalamo tract. This study aimed to use resting-state fMRI to identify brain networks that are dysfunctional in MS tremor. We found significantly higher connectivity within the motor network in tremor patients compared to controls, and the mean activation within the motor network was negatively correlated to tremor. Resting-state fMRI could provide useful markers for studying the pathophysiology of tremor in MS. |
| 1425 | Impact of Scanner Heterogeneity on a Multi-Center Trial | |
| Ken Sakaie1, Paola Raska2, Nancy Obuchowski2, Kunio Nakamura3, Mark J. Lowe1, and Robert J. Fox4 | ||
1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 2Quantitative Health Sciences, The Cleveland Clinic, Cleveland, OH, United States, 3Lerner Research Institute, The Cleveland Clinic, Cleveland, OH, United States, 4Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States |
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In a clinical trial, it may be necessary to incorporate multiple centers to get a sufficiently large sample size. Trials that use imaging may suffer from heterogeneity among centers in terms of scanner platform. In the SPRINT-MS trial, diffusion tensor imaging (DTI) measures indicated a larger treatment effect than brain parenchymal fraction (BPF). However, the effect measured by DTI was not statistically significant. In this study, we examine the hypothesis that heterogeneity in scanner type contributed to variance in DTI measures, reducing the statistical power of the measurement. |
| 1426 | Feasibility of myelin water fraction mapping with denoised 2D multi-echo GRE images based on deep learned reconstruction | |
| Ho-Joon Lee1, Yeonah Kang1, Marc Lebel2, Jae Eun Song3, and Sung-Min Gho4 | ||
1Department of Radiology, Haeundae Paik Hospital, Busan, Republic of Korea, 2MR Collaboration and Development, GE Healthcare, Calagary, AB, Canada, 3Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea, 4MR Collaboration and Development, GE Healthcare, Seoul, Republic of Korea |
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With advances in deep learning, feasibility has been investigated for myelin water fraction (MWF) reconstruction showing promising results, enabling fast reconstruction, however whether images denoised with deep learned reconstruction(DL) will improve MWF map quality has not been investigated. After denoising of multi-echo GRE magnitude images with a DL algorithm, data was fitted to a three-component magnitude model. Use of DL, shows better results as compared to conventionally generated maps (i.e. decreased NRMSE and mean fitting errors (WM), increased PSNR and SSIM). Gibb's ringing artifact was removed remarkably. |
| 1427 | Steady state effects on the myelin water pool: evidence for a distinct T1 compartment? | |
| Ana-Maria Oros-Peusquens1, Dennis Thomas1, Alexander L. MacKay2, and N. Jon Shah1 | ||
1Research Centre Juelich, Juelich, Germany, 2University of British Columbia, Vancouver, BC, Canada |
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The influence of steady state on myelin water fraction derived from mGRE data was investigated, with the aim of estimating myelin water T1. Myelin and tissue water were identified by their T2* properties following an NNLS analysis. PCA denoising reduced the variability (SD) of MWF by nearly a factor of 2. The residuals of the NNLS fit were found to be small (below 0.5%) but highly significant, and showed no dependence on TR. The derived T1 of myelin water was highly variable and shorter than that of tissue water. These findings are consistent with a reduced exchange between pools. |
| 1428 | Model-based T2* autoencoder for Myelin Water Fraction Mapping | |
| Jae Eun Song1 and Dong-Hyun Kim1 | ||
1Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea |
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In this study, we propose a model-based unsupervised learning algorithm to estimate three-component exponential model parameters. The proposed method, model-based T2* autoencoder, is composed of ANN encoder and three-component model decoder. Incorporation of ANN encoder and three-component model decoder provides noise robust estimation of MWF and physically meaningful information at deep latent space. |
| 1429 | A novel multicomponent T2 analysis for identification of sub-voxel compartments and quantification of myelin water fraction | |
| Noam Omer1, Tamar Blumenfeld-Katzir1, Natalie Bnaiahu1, Meirav Galun2, and Noam Ben-Eliezer1,3,4 | ||
1Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel, 2Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, 3Center for Advanced Imaging Innovation and Research (CAI2R), New-York University Langone Medical Center, New York, New York, NY, United States, 4Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel |
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Multicomponent T2 analysis (mcT2) can be highly valuable for probing tissue microstructure. However, it remains challenging due to its ill-conditioned nature, and due to inherent contamination of multi spin-echo signals by stimulated echoes. We present a novel mcT2 algorithm that tackles the high-dimensionality of this problem, using correlations between local and global features of the anatomy in question. The accuracy of this tool is demonstrated on phantoms and in vivo. Our results suggest that the method can accurately identify microscopic compartments, operate at realistic scan times, and be used estimate to estimate myelin content in vivo. |
| 1430 | Association of age, sex, and myelin content with regional iron deposition in the human brain | |
| Nikkita Khattar1, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Iron is known to play a central role in neuronal viability and pathophysiology. Although susceptibility weighted imaging (SWI) is highly sensitive to iron, few studies have investigated the effect of age and sex on iron deposition using SWI. Further, the potential association between iron deposition and myelination is unclear. It has been suggested that myelin breakdown releases iron, which further acts to potentiate myelin loss through oxidative mechanisms. Here, we investigate the association between local iron deposition and age, sex, and myelination, measured using an advanced myelin content imaging method, on a cohort of cognitively unimpaired participants. |
| 1431 | Age-dependence of g-ratio values for subcortical white matter structures in the human brain | |
| Richard Wonjoong Kim1, Nikkita Khattar1, Wenshu Qian1, Joseph Alisch1, Richard G. Spencer1, and Mustapha Bouhrara1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Emerging evidence indicates that myelination and axonal abnormalities could lead to alterations of brain connectivity, contributing to a myriad of neurological disorders. Measurement of myelin to axonal volume, as defined by the g-ratio, has been shown to represent a sensitive and specific metric of neurodevelopment and neurodegeneration. However, only a single study to date has sought to evaluate age-related differences in g-ratio in the adult human brain. Here, we introduce and compare two novel approaches to g-ratio mapping. Both methods revealed a quadratic relationship between g-ratio and age in a large cohort of cognitively unimpaired participants. |
| 1432 | Age-related differences in myelin content of the human brainstem | |
| Mustapha Bouhrara1, Luis E. Cortina1, Abinand C. Rejimon1, Nikkita Khattar1, and Richard G. Spencer1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Very few MR investigations have been conducted to assess age-dependent myelination differences in the brainstem, in spite of the brainstem's central role in regulating vital functions. This is likely due to the small structural scale of the brainstem, necessitating accurate high spatial resolution imaging for quantitative studies. Here, we used our recently developed approach to myelin water fraction (MWF) mapping and found a decrease in myelination with age in different brainstem regions, with several regions exhibiting a quadratic association. We believe that this study is the first investigation of MWF changes with normative aging in the brainstem. |
| 1433 | Characterisation of MTsat for assessment of intracortical myelination in the developing marmoset brain | |
| Stephen J Sawiak1, M Arsalan Khan2, Gemma Cockcroft3, Edward T Bullmore4, and Angela C Roberts3 | ||
1Translational Neuroimaging Laboratory, PDN, University of Cambridge, Cambridge, United Kingdom, 2University of Cambridge, Cambridge, United Kingdom, 3Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom, 4Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom |
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Changes in myelination are prominent throughout brain development. Here, we assess MTsat as a measure of intracortical myelination in the developing marmoset brain with 38 subjects from infancy to adulthood. We find that the measure is consistent between brains and that across the cortex as a whole, adults differ in apparent myelination compared with infants and early adolescents particularly within central and deeper cortical layers. Regional analysis with this metric will facilitate differentiation between morphological and microstructural developmental changes that cannot be elucidated with conventional structural imaging. |
| 1434 | Association of Myelination in Internal Capsule with Iron Deposition in the Basal Ganglia in Macaque monkeys | |
| Wenwen Yu1, Run Pu2, Zhe Wu2, Hongjian He2, Yuequan Shi3, Zuofu Zhou3, Zheng Wang4, and Jianhui Zhong2,5 | ||
1Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, CAS Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China, 2Center for Brain Imaging Science and Technology, Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China, 3Department of Radiology, Fujian Provincial Maternity and Children’s Hospital of Fujian Medical University, Fuzhou, China, 4Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China, 5Department of Imaging Sciences, University of Rochester, Rochester, NY, United States |
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A tight association between iron and myelin content has been demonstrated in the local brain regions. However, it remains unknown whether such relationship exists between adjacent brain regions. Using 8 young and 8 older macaque monkeys, we integrated MRI-based QSM and MWF imaging to examine the relation between iron deposition in components of BG and the myelin content of BG-connecting IC. Our results reveal that the iron of BG is positively correlated with the myelin of IC at different aging stages, and demonstrate that iron in BG also affects the myelin content of the anatomically distinguished yet connected WM structures. |
| 1435 | Myelin water imaging of Amyoplasia: Comparison to a control atlas | |
| Bretta Russell-Schulz1, Irene M Vavasour1,2,3, Hanwen Liu2,4, Cornelia Laule2,3,4,5, Erin L MacMillan1,6,7, Alex L MacKay1,3,4, Carolyn Sparrey2,8, and Bonita Sawatzky2,9 | ||
1UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair and Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6SFU ImageTech Lab, Simon Fraser University, Surrey, BC, Canada, 7Philips Canada, Marham, ON, Canada, 8School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada, 9Orthopaedics, University of British Columbia, Vancouver, BC, Canada |
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Adults living with Amyoplasia report lower physical activity but no educational or cognitive impairment. Myelin water fraction (MWF) is a quantitative MRI metric useful for examining white matter myelin content. We expect brain MWF to be similar or higher between Amyoplasia and controls in most of the brain but lower in areas associated with physical ability. In 3 adults with Amyoplasia MWF maps were created using a 32-echo T2 GRASE compared to an open-source healthy control atlas. Small reductions in corticospinal tract myelin were observed, while the remainder of the brain examined was similar to the control atlas. |
| 1436 | Assessing MRI-Based Myelin Measures in Multiple Sclerosis and Healthy Brain White Matter | |
| Ahmed M. Elkady1, Zhe Wu1,2, Dumitru Fetco1, Ilana R. Leppert1, Douglas L. Arnold1, Sridar Narayanan1, and David A. Rudko1,3 | ||
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 2Techna Institute, University Health Network, Toronto, ON, Canada, 3Department of Biomedical Engineering, McGill University, Montreal, QC, Canada |
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We comparatively evaluated non-corrected Magnetization Saturation (MTSat), B1-corrected MTsat, wave-CAIPI direct Visualization of Short myelin Transverse component (wave-CAIPI ViSTa), and multi-atlas probabilistic tissue classification in multiple sclerosis (MS) lesions and white matter tracts of healthy and MS subjects. The relationship between ViSTa myelin water fraction (MWF) and MTSat myelin volume fraction (MVF) was altered in MS normal appearing white matter (NAWM) compared NAWM of controls. This may reflect specific alterations in the macromolecular and myelin water pool fractions observed in demyelinating tissue. ViSTa MWF was more sensitive in detecting pathological differences between the MS and control groups. |
| 1437 | Tract-Specific Myelin Content Mapping of the Corticospinal Tract Predicts Impairment in Patients with Multiple Sclerosis | |
| Richard Dortch1 and Francesca Bagnato2,3 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Neuroimaging Unit/Neuroimmunology Division, Vanderbilt University Medical Center, Nashville, TN, United States |
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Quantitative magnetization transfer using the selective inversion recovery method yields indices [macromolecular-to-free water pool-size-ratio (PSR) and longitudinal spin-lattice relaxation rate (R1f)] that report on myelin content in the brain. In this study, SIR indices were estimated in the corticospinal tract (CST) of patients with multiple sclerosis for comparison to clinical disability measures [Expanded Disability Status Scale (EDSS) and Timed 25-Foot Walk T25FW)]. Significant correlations were observed between SIR indices (PSR/R1f) and disability scores (EDSS/T25FW). The strongest correlation was between PSR and EDSS, suggesting that measurements of PSR in the CST may report on myelin damage and/or repair in multiple sclerosis. |
| 1438 | Longitudinal follow-up of MS active lesions with 3D inhomogeneous Magnetization Transfer (ihMT) | |
| Lucas Soustelle1,2, Soraya Gherib1,2, Samira Mchinda1,2, Sylviane Confort-Gouny1,2, Arnaud Le Troter1,2, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, Patrick Viout1,2, Lauriane Pini1,2, Claire Costes1,2, Adil Maarouf1,2,3, Bertrand Audoin1,2,3, Audrey Rico1,2,3, Clémence Boutière1,2,3, Fanelly Pariollaud1,2, Françoise Reuter1,2, Victor Nunes Dourado de Carvalho1,2, Véronique Gimenez1,2, Andreea Hertanu1,2, Gopal Varma4, David C Alsop4, Jean Pelletier1,2,3, Guillaume Duhamel1,2, and Olivier M Girard1,2 | ||
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France, 3APHM, Hôpital Universitaire Timone, Service de neurologie, Marseille, France, 4Division of MR Research, Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States |
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Assessment of lesion evolution in Multiple Sclerosis (MS) is critical to monitor the disease progression but remains challenging in clinical practice. Inhomogeneous magnetization transfer (ihMT) is a promising technique that has demonstrated sensitivity to demyelination in preclinical and clinical studies. In this work, a 3D ihMT technique was integrated as part of a multiparametric MRI protocol and applied to active MS lesion follow up over a period of six months. Variations of ihMT ratio were compared to those of conventional magnetization transfer imaging and diffusion tensor imaging often used in clinical research to assess demyelination. |
| 1439 | Multi-component relaxation in relapsing remitting multiple sclerosis: Variability of myelin water fraction estimates of individual lesions | |
| Caroline Köhler1, Hannes Wahl1, Tjalf Ziemssen2, Paul Kuntke1, Jennifer Linn1, and Hagen H. Kitzler1 | ||
1Institut und Poliklinik für Diagnostische und Interventionelle Neuroradiologie, University Hospital Carl Gustav Carus, Dresden, Germany, 2Neurology, University Hospital Carl Gustav Carus, Dresden, Germany |
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Multiple Sclerosis lesions are pathologically heterogeneous. The Multi-component relaxation method (mcDESPOT) which allows the determination of relative myelination by estimating the myelin water fraction (MWF) could be valuable to capture the high variability of disease development. In a pilot study n=112 RRMS patients got MRI examination and MWF values were determined of white matter (WM) and individual lesions. The MWF of WM was 0.230 for healthy controls and 0.224 for RRMS patients. 2787 WM FLAIR lesions were examined. Patients with a higher degree of disability of EDSS ≥ 4 significantly have lower MWF values than patients with EDSS < 2.5. |
| 1440 | Development and evaluation of a high spatial resolution diffusion tensor template of the older adult human brain | |
| Mohammad Rakeen Niaz1, Yingjuan Wu1, Abdur Raquib Ridwan1, Xiaoxiao Qi1, Shengwei Zhang1, 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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A high-resolution older adult brain template containing full diffusion tensor (DT) information has not been constructed. Available DT templates of low spatial resolution lack fine details, and most are not representative of the older adult brain. Both factors limit spatial normalization accuracy in studies of aging. This work a) introduced a novel approach for constructing a DT template with high spatial resolution based on principles of super-resolution, and using this technique, b) developed and quantitatively evaluated a DT template of the older adult brain with high spatial resolution using high-quality data from 202 non-demented older adults. |
| 1441 | Uncharted Waters: Insights From A 100-Subject Myelin Water Imaging Atlas | |
| Taylor Swift-LaPointe1, Irene M. Vavasour2,3, Lisa Eunyoung Lee4, Shawna Abel4, Bretta Russell-Schulz2, Carina Graf1,3, Anika Wurl1, Hanwen Liu1,3, Cornelia Laule1,2,3,5, David K.B. Li2,4, Anthony Traboulsee4, Roger Tam2,6, Lara A. Boyd7, Alex L. MacKay1,2, Shannon H. Kolind1,2,3,4, and Adam V. Dvorak1,3 | ||
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries (ICORD), Vancouver, BC, Canada, 4Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 5Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 7Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada |
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Data from 100 healthy volunteers (58F/42M, mean age 41 years, range 20-78 years) scanned at 3.0T were used to create a structural template. Voxel-wise mean myelin water fraction (MWF) and intra/extracellular T2 (IET2) atlases were created, and 19 regions of interest were obtained using the joint label fusion framework. Pearson correlations with both age and sex were calculated for MWF and IET2. Mean MWF and IET2 demonstrated clear ranking between brain structures for different age groups, indicating that relative metric values are generally consistent between ROIs. There were no significant correlations between MWF or IET2 and sex. |
| 1442 | Evidence of association between regional cerebral blood flow deficits and demyelination in normal aging | |
| Mustapha Bouhrara1, Joseph E. Alisch1, Nikkita Khattar1, Abinand C. Rejimon1, Luis E. Cortina1, and Richard G. Spencer1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Little is known about the relationship between white matter (WM) perfusion and microstructure across cognitively normal or impaired subjects. WM maintenance through oligodendrocyte metabolism is an energy-intensive process, so that myelin homeostasis is particularly sensitive to hypoxia, ischemia, or hypoperfusion. In addition to substrate delivery, adequate cerebral blood flow (CBF) is crucial for removal of metabolic byproducts. We investigated associations between CBF deficits and myelin loss in multiple brain regions in a cohort of cognitively unimpaired participants across a wide age range. We show significant correlations between CBF deficits and myelin loss in critical brain structures. |
| 1443 | Effect of myelin integrity on rapid speed gait in normal aging | |
| Mustapha Bouhrara1, Nikkita Khattar1, Luis E. Cortina1, Abinand C. Rejimon1, Elango Palchamy1, and Richard G. Spencer1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Microstructural white matter (WM) degeneration has been shown to have a direct impact on mobility performance. However, the association between speed gait and myelin changes is less clear. This study examines the effect of myelin degeneration measured using myelin water fraction (MWF), a specific proxy of myelin content, and relaxation rates, sensitive but non-specific measures of myelin, on rapid gait speed (RGS), which represents an integrated metric of physiologic function. Our study is conducted on a large age-range cohort of cognitively unimpaired participants. We show statistically significant correlations between MWF loss and RGS decline in several WM structures. |
| 1444 | Brain aging and sexual dimorphism in myelination investigated using magnetic resonance myelin water fraction imaging | |
| Mustapha Bouhrara1, Abinand C. Rejimon1, Luis E. Cortina1, Nikkita Khattar1, and Richard G. Spencer1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Changes in brain myelination with age and sex have been the subject of intense MRI study. However, most studies have used nonspecific methods to probe myelin, including DTI and relaxation times. We investigated age- and sex-related differences in brain myelin water fraction (MWF), a surrogate of myelin content, in a large cohort of unimpaired participants, spanning a wide age range. We observed a quadratic relationship between MWF and age in all brain regions investigated, suggesting that myelination continues until middle age followed by a decrease through older age. Sexual dimorphism in this process was observed in several brain regions. |
| 1445 | Neurite density and myelination differences during normal aging assessed using multicomponent diffusion and relaxometry imaging | |
| Wenshu Qian1, Nikkita Khattar1, Abinand C. Rejimon1, Mustapha Bouhrara 1, and Richard G. Spencer1 | ||
1National Institute on Aging, Baltimore, MD, United States |
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While sensitive to microstructural changes, conventional quantitative MR techniques, such as diffusion tensor imaging, are not specific to underlying physiological mechanisms. Advanced multi-shell diffusion and multicomponent relaxometry analyses have been shown to provide more specific insights regarding microstructural differences with age and disease. In this study, we combined our multicomponent relaxometry method for myelin mapping and the neurite orientation dispersion and density imaging (NODDI) method to investigate neurite myelination and density in a cohort of cognitively unimpaired participants. Quadratic relationships were observed between neurite density and myelination, and age, in critical brain regions. |
| 1446 | Age-associated changes in cerebral blood flow-related measures using arterial spin labeling | |
| Zheng Li1, Zongpai Zhang1, Wenna Duan1, Lissa Riley2, Adam K. Anderson2, Eve DeRosa2, and Weiying Dai1 | ||
1Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 2Human Development, Cornell University, Ithaca, NY, United States |
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Disrupted CBF-related measures in clinical diseases has highlighted the importance of reliable baseline data from normal controls. We characterized CBF-related measures in normal aging by acquiring PCASL images in 11 young and 12 elderly subjects. We found that the elderly exhibited longer ATT in the frontal, parietal, temporal, and subcortical regions, reduced CBF in the prefrontal and parietal regions and increased CBF in the subcortical regions, and increased LFF in the superior frontal and paracentral region, compared to the young. This work sets the stage for a larger scale use of PCASL to investigate CBF-related alterations in neurological diseases. |
| 1447 | Neural correlates of associative new word learning enhancement following high-intensity interval exercise in healthy older adults. | |
| Marie-Pier McSween1,2, Megan L. Isaacs1,2, David A. Copland1,2, Jeff S. Coombes3, Amy D. Rodriguez4, Kirk I. Erickson5, and Katie L. McMahon6 | ||
1The University of Queensland School of Health and Rehabilitation Sciences, Brisbane, Australia, 2University of Queensland Centre for Clinical Research, Brisbane, Australia, 3The University of Queensland School of Human Movement and Nutrition Sciences, Brisbane, Australia, 4Centre for Visual and Neurocognitive Rehabilitation, Atlanta, GA, United States, 5University of Pittsburgh, Pittsburgh, PA, United States, 6Queensland University of Technology School of Clinical Sciences, Brisbane, Australia |
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High-intensity interval exercise (HIIE) can benefit word learning in young adults, however this is yet to be investigated in older adults and the neural mechanisms responsible have not been directly examined. Twenty-six older adults participated in this study and engaged in stretching or HIIE prior to performing an in-scanner (fMRI) associative new word learning task. Results showed increased activation after HIIE, in the left middle temporal gyrus, and right inferior occipital gyrus in addition to better word recognition accuracy, suggesting benefits of HIIE on word learning that may be attributed to increased activation in key language and visual processing areas. |
| 1448 | Assessing the impact of age-related locus coeruleus degeneration on cognitive decline | |
| Jason Langley1, Sana Hussain2, Justino J Flores3, Daniel E Huddleston4, Ilana Bennett3, and Xiaoping Hu1,2 | ||
1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Bioengineering, University of California Riverside, Riverside, CA, United States, 3Psychology, University of California Riverside, Riverside, CA, United States, 4Neurology, Emory University, Atlanta, GA, United States |
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Characterization of age-related alterations in microstructure of locus coeruleus and its projections will aid in the development of new biomarkers and may provide insight in the development of novel interventions to arrest progression of Alzheimer's disease or Parkinson's disease. Imaging locus coeruleus with diffusion-weighted images is difficult due to its small stature (locus coeruleus is 1.5 mm in diameter and 15 mm long) and location in the brain stem. In this abstract, we utilize a high resolution diffusion-weighted protocol to examine age-related microstructural changes in locus coeruleus and examine its effect on age-related cognitive decline. |
| 1449 | Similar mechanisms and locations of white matter lesions in elderly healthy controls and asymptomatic carotid artery stenosis patients | |
| Stephan Kaczmarz1,2, Jens Göttler1,2,3, Andreas Hock4, Claus Zimmer1, Fahmeed Hyder2, and Christine Preibisch1,5 | ||
1School of Medicine, Department of Neuroradiology, Technical University of Munich, Munich, Germany, 2MRRC, Yale University, New Haven, CT, United States, 3School of Medicine, Department of Radiology, Technical University of Munich, Munich, Germany, 4Philips Healthcare, Hamburg, Germany, 5School of Medicine, Clinic of Neurology, Technical University of Munich, Munich, Germany |
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White matter lesions (WML) are detected as hyperintensities on clinically frequently used T2-weighted FLAIR-images and can manifest as cognitive decline. Though most elderly subjects show WML, the pathogenesis is still unclear. Potential causes are small vessel damages and myelin-sheath deformations. We present data from 30 healthy elderly and 29 carotid stenosis patients measuring WML, individual watershed areas (iWSA), capillary transit-time heterogeneity (CTH) and DTI-based structural parameters. We hypothesize increased lesion load inside iWSAs and capillary dysfunction with structural damages in WML. Our results confirm those hypotheses and furthermore, indicate similar WML formation mechanisms in healthy aging and carotid artery stenosis. |
| 1450 | Relationship of regional volume changes and cardiac pulsatility in the brain | |
| Tae Kim1, Annie Cohen1, and James T Becker1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States |
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Brain atrophy is highly associated with cardiac pulsatility in the brain. The reduction of brain regional volumes was correlated with increased pulsatility of its supply arteries and a decrease of sinus and CSF. The regional volume reduction was affected by the pulsatility of different vessels. |
| 1451 | INVESTIGATING THE LINK BETWEEN CEREBROVASCULAR AND NEURO HEALTH IN COGNITIVE DECLINE | |
| Kathryn Broadhouse1, Natalie Winks1, and Jim Lagopoulos1 | ||
1University of the Sunshine Coast, Sunshine Coast, Australia |
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Current markers of early neurodegeneration include β-amyloid plaque accumulation and Tau-mediated neuronal injury; both of which are thought to emerge prior to significant cognitive deficits and measurable brain atrophy. Unfortunately, the role of these biomarkers within the cascade of pathophysiological processes of AD remains poorly understood. Impairment in the glymphatic clearance system has garnered attention and is thought to represent a pathway to decline. Here we demonstrate that quantification of glymphatic clearance measures are feasible in healthy controls. Combining these measures with cognitive performance scores and diagnosis will provide insight into the role of the glymphatics system with decline. |
| 1452 | Age-related changes in brain morphology based on a large-scale MRI database of non-human primates | |
| Mayu Iida1,2, Junichi Hata2,3,4, Yawara Haga1,4, Akiko Uematsu4,5, Fumiko Seki2,4, Daisuke Yoshimaru2,3,4, Kei Hagiya4, Hirotaka James Okano3,4, Hideyuki Okano4, and Takako Shirakawa1 | ||
1Department of Radiological Sciences, Human Health Sciences, Tokyo Metropolitan University Graduate School, Tokyo, Japan, 2Live Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan, 3Division of Regenerative Medicine, Jikei University School of Medicine, Tokyo, Japan, 4Laboratory for Marmoset Neural Architecture, Center for Brain Science, RIKEN, Saitama, Japan, 5Center of Evolutionary Cognitive Sciences, Tokyo University Graduate School, Tokyo, Japan |
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MRI data of 204 large common marmoset colonies were obtained and analyzed regarding brain volume. Marmosets have a brain structure and nerve paths are similar to those in humans compared to other experimental animals. The volume from puberty to old age in six regions (gray matter, deep gray matter, white matter, brainstem, cerebellum, and CSF) could be evaluated. From the viewpoint of volume and variability when performing brain image analysis, it was suggested that marmosets are experimental animals that can evaluate the effects of individual differences at the same level as humans or with slightly less variation than humans. |
| 1453 | Blood-brain barrier integrity and cognitive function in a healthy aging population | |
| SAMUEL BARNES1, SHILPY CHOWDHURY2, JENNIFER GARCIA-CANO3, NICOLE M GATTO4, and GRACE J LEE3 | ||
1RADIOLOGY, LOMA LINDA UNIVERSITY HEALTH, Loma Linda, CA, United States, 2LOMA LINDA UNIVERSITY, LOMA LINDA, CA, United States, 3PSYCHOLOGY, LOMA LINDA UNIVERSITY SCHOOL OF BEHAVIORAL HEALTH, LOMA LINDA, CA, United States, 4School of Community and Global Health, Claremont Graduate University, CLAREMONT, CA, United States |
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Dynamic-contrast enhanced (DCE) MRI can detect changes in the blood brain barrier integrity which can be associated with cognitive changes in aging populations. 40 participants from a large cohort underwent contrast MRI and battery of neuropsychological tests. DCE Ktrans values showed a negative correlation with verbal learning and memory testing (RAVLTIR and RAVLTSD). Blood brain barrier disruption, defined by higher Ktrans values, is associated with worse performance on verbal learning, memory and category fluency tests. |
| 1454 | Association of PC-MRI measured Cerebroarterial Pulsatility with Cognitive Impairment and White Matter Hyperintensity in Aged Subjects | |
| Soroush Heidari Pahlavian1,2, Xinhui Wang 2, Samantha Ma1,2, John Ringman2, Helena Chui2, Danny J.J. Wang1,2, and Lirong Yan1,2 | ||
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, University of Southern California, Los Angeles, CA, United States |
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Elevated cerebroarterial pulsations due to arterial stiffness can impart abnormal forces to downstream capillary/tissue leading to microvascular damage, which are thought to be a contributing factor in the pathogenesis of neurodegenerative disorders such as Alzheimer’s disease and small vessel disease. In this study, we assessed the utility of two-dimensional (2D) phase-contrast MRI (PC-MRI) in quantifying cerebroarterial pulsations and evaluated the associations of pulsatile and non-pulsatile hemodynamic measures with cognitive performance and white matter hyperintensity (WMH). Our results indicated significant associations of PC-MRI derived pulsatility metrics with cognitive performance and WMH. |
| 1455 | Mean diffusivity in white matter correlates negatively with episodic memory performance in aging, non-demented adults with Down Syndrome | |
| Austin Bazydlo1, Sigan Hartley1, Minjie Wu2, Patrick Lao3, Douglas C Dean, III1, Matthew Zammit1, Sterling Johnson1, Dana Tudorascu2, Annie Cohen2, Karly Cody1, Charles Laymon2, William Klunk2, Shahid Zaman4, Benjamin Handen2, Andrew Alexander1, and Bradley Christian1 | ||
1University of Wisconsin-Madison, Madison, WI, United States, 2University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 3Columbia University, New York, NY, United States, 4University of Cambridge, Cambridge, United Kingdom |
||
People with Down Syndrome (DS) are at an increased risk of developing Alzheimer’s Disease (AD), due to an overproduction of β-amyloid resulting from triplication of the amyloid precursor protein (APP) gene located on chromosome 21. The effect of white matter degradation on early AD-related cognitive decline in the DS population is not known. In this work, we present results from a study of non-demented adults with DS showing correlations between increased mean diffusivity (MD), derived using diffusion tensor imaging (DTI), within several white matter regions of interest and poorer performance on measures of episodic memory. |
| 1456
|
Longitudinal trajectory of fibre-specific degeneration in Alzheimer’s disease and mild cognitive impairment | |
| Remika Mito1,2, Robert Smith1, Thijs Dhollander1, Christopher Rowe3,4, Victor Villemagne3,4, Amy Brodtmann1,3, and Alan Connelly1,2 | ||
1Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia, 3Department of Medicine, Austin Health, University of Melbourne, Melbourne, Australia, 4Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Australia |
||
Alzheimer’s disease (AD) is characterised by degeneration of specific white matter tracts, however the longitudinal trajectory of tract-specific decline has not yet been well described. In this work, we utilise a longitudinal fixel-based analysis framework to investigate specific fibre tracts that exhibit accelerated decline in AD and mild cognitive impairment (MCI). Whole-brain analysis revealed that select fixels exhibit accelerated rates of decline in AD compared to healthy elderly controls, while MCI patients did not exhibit accelerated decline in any fibre structures. Tract-of-interest analysis revealed group differences in tract trajectories over time. |
| 1457
|
Pathway-specific polygenic scores for Alzheimer’s disease are associated with multi-modal structural brain imaging markers in young adults | |
| Judith Harrison1, Xavier Caseras2, Sonya Foley1, Emily Baker2, David Linden3, Peter Holmans2, Derek Jones1, and Valentina Escott-Price2 | ||
1CUBRIC, CUBRIC, Cardiff University, Cardiff, United Kingdom, 2MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom, 3School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands |
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This study explores the relationship between structural brain measurements and novel pathway-specific polygenic scores for Alzheimer’s Disease (AD). We observed associations between the pathway-polygenic profiles, cortical thinning, and changes in white matter signal particularly in the fornix, which have been shown to be markers of Alzheimer’s degeneration, in our sample of healthy young adults. Surprisingly, despite the contribution of APOE to AD risk, the signal in the white matter was stronger when APOE was excluded from the polygenic scores. |
| 1458 | White Matter Integrity and Cortical Structure – Dependence on Apolipoprotein E Homozygous ε4 Allele Status | |
| Harald Kugel1, Jonathan Repple2, Janik Goltermann2, Ronny Redlich2, Katharina Dohm2, Claas Kaehler2,3, Dominik Grotegerd2, Katharina Foerster2, Susanne Meinert2, Verena Enneking2, Tim Hahn2, Andreas Jansen4, Axel Krug4, Igor Nenadic4, Simon Schmitt4, Frederike Stein4, Tina Meller4, Dilara Yueksel4, Elena Fischer4, Marcella Rietschel5, Stephanie Witt5, Andreas J Forstner6,7, Markus Noethen6, Andreas Johnen8, Tilo Kircher4, Bernhard T Baune2, Udo Dannlowski2, and Nils Opel2 | ||
1Institute of Clinical Radiology, University of Muenster, Muenster, Germany, 2Department of Psychiatry, University of Muenster, Muenster, Germany, 3Department of Mathematics and Computer Science, University of Muenster, Muenster, Germany, 4Department of Psychiatry, University of Marburg, Marburg, Germany, 5Department of Genetic Epidemiology in Psychiatry, University of Heidelberg, Mannheim, Germany, 6Institute of Human Genetics, University of Bonn, Bonn, Germany, 7Centre for Human Genetics, University of Marburg, Marburg, Germany, 8Department of Neurology, University of Muenster, Muenster, Germany |
||
Apoliprotein E (APOE) genotype status, a predictor of Alzheimer's disease, has been associated with brain structural alterations. Supplementing previous research that primarily focused on hippocampal morphometry, we found a widespread effect of APOE allele status on cortical surface area and white matter microstructure. There is a significant cortical surface area decrease in 57 out of 68 cortical brain regions in APOE ε4 homozygous carriers. Furthermore, APOE ε4 homozygous carriers showed significant and widespread reductions in fractional anisotropy in corpus callosum, right internal and external capsule, left corona radiata and right fornix. |
| 1459 | Cognitive Status in Patients with Alzheimer's Disease Using Quantitative Susceptibility Mapping | |
| Yangyingqiu Liu1, Junyi Dong1, Yanwei Miao1, Ailian Liu1, Qingwei Song1, and Lizhi Xie2 | ||
1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China |
||
Blood oxygen level of the cerebral vein is quantitatively assessed by magnetic sensitivity value (MSV)using quantitative susceptibility mapping (QSM), and its’correlation to cognitive scores is also analyzed in patients with Alzheimer's disease (AD).The results show that increased MSV value of cerebral vein in AD patients may affect cognitive scores. |
| 1460 | Cortical Thickness Estimates to Classify Early Onset Alzheimer’s Disease versus Frontotemporal Dementia | |
| Arun Venkataraman1, Zachary Christensen2, and Jianhui Zhong3 | ||
1Physics, University of Rochester, Rochester, NY, United States, 2Translational Biomedical Sciences, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States |
||
Frontotemporal Dementia (FTD) and Early-Onset Alzheimer's Dementia (EOAD) can occur in the same age group and have overlapping symptoms, often complicating diagnosis. In this study, we focused on trying to understand cortical thickness as a biomarker of dementia type. More specifically, we wanted to classify EOAD vs FTD using only data from T1w MRI. We found that classification of FTD vs EOAD using FreeSurfer and ANTs cortical thickness data is highly dependent on the type of classifier used. In addition, it seems that ANTs is better suited than FreeSurfer independent of classification model. |
| 1461 | Study of the cerebral blood flow and Iron Deposition metabolism in Alzheimer’s disease using ASL-MRI and QSM-MRI | |
| Dongxue Li1, Yuancheng Liu1, Zhenliang Xiong1, Xianchun Zeng1, Lisha Nie2, Pu-Yeh Wu2, and Rongpin Wang1 | ||
1Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China, 2GE Healthcare, MR Research, Beijing, China |
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The CBF and iron deposition evaluation are commonly used in alzheimer's disease. we analyzed the changes and correlations of CBF and iron deposition in different stages of AD. ASL and QSM identified several abnormal brain regions of interest, which were sensitive to tissue alterations in each stage. This study found QSM was detected in the early stage of AD, which is expected to be an effective tool for early AD diagnosis and timely intervention. Additionally, the iron deposition and CBF in the globus pallidum and putamen flow negatively correlated in the AD group that may be relevant to pathologic changes. |
| 1462 | Brain oxygen extraction fraction in cognitive impairment: a potential tool to differentiate between Alzheimer’s and vascular dementia | |
| Dengrong Jiang1, Zixuan Lin1, Peiying Liu1, Sandeepa Sur1, Cuimei Xu1, George Pottanat1, Kaisha Hazel1, Sevil Yasar2, Paul Rosenberg3, Marilyn Albert4, and Hanzhang Lu1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States, 3Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States |
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Alzheimer’s disease (AD) and vascular dementia (VD) are the two most common types of cognitive impairment. However, there is still a lack of effective tools for their differential diagnosis. In this work, we demonstrated that OEF is differentially (in opposite direction) affected by AD and vascular pathology. Among patients with cognitive impairment, patients with low OEF are associated with more AD pathology and less vascular pathology; and the opposite can be said for patients with high OEF. These findings suggest that OEF may provide valuable information in differentiating AD and VD. |
| 1463 | Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease | |
| Yurui Gao1,2, Anirban Sengupta1, Muwei Li1,3, Zhongliang Zu1,3, Baxter P Rogers1,3, Adam W Anderson1,2,3, Zhaohua Ding1,4, and John C Gore1,2,3 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States |
||
Pathological alterations of white matter (WM) have been reported during the development of Alzheimer’s disease (AD). This study extended our previous rsfMRI analyses of WM tract BOLD correlations to evaluate WM functional connectivity (FC) in 383 subjects at different stages of cognitive impairment and found that WM FCs 1) decline regionally in late AD groups relative to a control group, 2) are related to cognitive behavioral scores, and 3) are well-performing features for distinguishing AD patients from controls. These findings suggest the potential of WM FC, which has been overlooked, as a novel neuroimaging biomarker to assess AD progression. |
| 1464 | Perfusion Imaging of Patients with Alzheimer’s Disease by Using highly-accelerated Spin and Gradient Echo (SAGE) DSC-MRI | |
| Yi-Fen Yen1, Mary Kate Manhard1, Annie G. Bryant2, Rachel E. Bennett2, Kimberly A. Stephens1, David H. Salat1,3, Keith A. Johnson2, Bradley T. Hyman2, Kawin Setsompop1, and Susie Huang1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 3VA Boston Healthcare System, Neuroimaging Research for Veterans Center, Boston, MA, United States |
||
We have identified reduced cerebral blood flow, abnormally long mean transit time, and large capillary transit time heterogeneity in seven individuals with mild cognitive impairment or Alzheimer’s disease as compared to healthy subjects by using a highly accelerated dynamic susceptibility enhanced (DSC) MRI technique. This perfusion imaging technique provides whole brain coverage using simultaneous multi-slice acquisition and collects spin and gradient echo in one dynamic scan. The spin-echo and gradient-echo DSC-MRI acquisition enables probing and potentially distinguishing micro- and macro-vascular contributions to perfusion in older adults using a single injection of gadolinium. |
| 1465 | Identifying Alzheimer's Disease Brain Atrophy Subtypes by Deep Learning | |
| Xingjuan Li1, Jurgen Fripp1, Samantha Burnham2, Vincent Doré2, and Pierrick Bourgeat1 | ||
1Australian eHealth Research Center, CSIRO, Brisbane, Australia, 2Australian eHealth Research Center, CSIRO, Melbourne, Australia |
||
Understanding the heterogeneity in atrophy changes from Alzheimer's disease (AD) can be an important factor to develop effective drugs and improve patients' outcomes [7]. In this study, we propose a deep learning approach to identify AD subtypes based on T1w magnetic resonance images (MRI). Experimental results show that the proposed method can accurately identify four AD subtypes exhibiting a distinctive cortical atrophy pattern. |
| 1466 | A preliminary study of geometric deep learning in brain morphometry: with application to Alzheimer’s disease | |
| Huaiqiang Sun1, Lin Zou1, Haoyang Xing1, Min Wu1, Lei Chen2, Qing Li3, and Qiyong Gong1 | ||
1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China, 2Department of Neurology, West China Hospital of Sichuan University, Chengdu, China, 3MR Collaborations, Siemens Healthcare Ltd., Shanghai, China |
||
A preliminary study that apply geometric deep learning to brain morphometry analysis of Alzheimer’s disease, the results show promising prediction accuracy suggesting geometric deep learning opens new prespectives for brain morphometry analysis of neurological and psychiatric disorders. |
| 1467 | Quantitative susceptibility and R2* mapping in mild cognitive impairment and early Alzheimer’s disease | |
| Catherine A Morgan1,2, Zichang Dong3, David Lythgoe4, Lynette Tippett1,2, and Tracy Melzer5,6 | ||
1School of Psychology and Centre for Brain Research, University of Auckland, Auckland, New Zealand, 2Brain Research New Zealand, Auckland, New Zealand, 3Department of Physics, University of Auckland, Auckland, New Zealand, 4Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 5University of Otago, Christchurch, New Zealand, 6Brain Reserach New Zealand, Christchurch, New Zealand |
||
There is a growing body of work (post-mortem and in vivo) to support the link between iron and the pathophysiology of neurodegenerative disorders. While much of the current literature has focused on later stages of diseases such as Parkinson’s and Alzheimer’s disease (AD), how iron may contribute to early pathology is less well understood. We employed QSM and R2* mapping in a group of mild cognitive impairment and early AD subjects along with age-matched controls. Our pilot results suggest that magnetic susceptibility is higher in the cortex of the cognitively impaired group and is negatively correlated with cognition. |
| 1468 | Diffusion Kurtosis Imaging of Basal Ganglia and Thalamus: Compare between Alzheimer’s Disease, Major Depressive Disorder and Healthy Subjects | |
| Siriwan Piyapittayanan1, Sahutchadech Tangisarapap1, Chanon Ngamsombat1, Orasa Chawalparit1, Weerasak Muangpaisan2, and Suwit Charoensak3 | ||
1Radiology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand, 2Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand, 3Psychiatry, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand |
||
The brain circuit pathways of major depressive disorder (MDD) and Alzheimer’s disease (AD) could overlap. The authors hypothesized that AD and MDD subjects would have different diffusion parameters compared to healthy elderly controls (HE). Forty-seven age-matched subjects (AD=19, MDD=11, HE=20) were enrolled and performed MRI included structural brain imaging and diffusion kurtosis imaging (DKI) and then diffusional parameters were compared to differentiate between the three groups. Caudate nucleus and thalamus revealed significant different of diffusion parameters between AD and HE, and between AD and MDD but no significant different between MDD and HE. Diffusion imaging can demonstrate microstructural change in AD. |
| 1469 | fMRI complexity is associated with tau-PET and cognitive decline in Alzheimer’s disease | |
| Kay Jann1, Hosung Kim1, Danny JJ Wang1, and for the Alzheimer's Disease Neuroimaging Initiative2 | ||
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine at USC, Los Angeles, CA, United States, 2http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf, Los Angeles, CA, United States |
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Recently entropy measures have been explored as indices of the complexity of rs-fMRI time-series which decrease in aging and dementia. Here, we compared multi-scale entropy (MSE) of rs-fMRI with tau PET measures of neurofibrillary tangles in a cohort of 50 aged subjects in the ADRC database, through correlational and machine learning approaches. We show that the complexity of BOLD signals provides an index of the information processing capacity of regional neuron populations, and is associated with tau-related neuronal injury and cognitive decline in the AD processes. |
| 1470 | In-vivo classification of arteriolar sclerosis and small vessel atherosclerosis in aging, and prediction of cognitive decline | |
| Nazanin Makkinejad1, Arnold M. Evia2, Ashish A. Tamhane2, 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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Arteriolar sclerosis and small vessel atherosclerosis are two age-related neuropathologies that are common in older adults and have been linked to cognitive decline and dementia. Definitive diagnosis of either pathology is only possible at autopsy. In this work, a novel MRI-based classifier was developed for predicting the presence of arteriolar sclerosis or small vessel atherosclerosis in-vivo. The classifier was first developed based on ex-vivo MRI and pathology data from a large community-based cohort of older adults and was then translated in-vivo. The performance of the classifier was assessed both ex-vivo and in-vivo. |
| 1471 | Comparison of locus coeruleus volume by using a high spatial-resolution MRI template among AD, MCI, and healthy controls | |
| Sung-Jong Eun1, Sang-Young Kim2, Young Noh3, and Eung-Yeop Kim4 | ||
1Health IT Research Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea, Republic of, 2Center for Parkinson's Disease and Dementia, Neuroscience Research Institute, Gachon University, Incheon, Korea, Republic of, 3Department of Neurology, Gil Medical Center, Gachon University of College of Medicine, Incheon, Korea, Republic of, 4Department of Radiology, Gil Medical Center, Gachon University of College of Medicine, Incheon, Korea, Republic of |
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Locus coeruleus (LC) is involved in regulating working memory, learning, attention, and arousal/wakefulness in the brain and accumulating evidence suggest that the LC is the initial brain region that the earliest pathological changes occur in Alzheimer’s disease (AD). We employed neuromelanin-sensitive MRI to detect the changes of LC volumes in AD. Automatic segmentation of the LC revealed profound reductions in LC volumes in AD dementia as compared to prodromal AD and/or healthy controls. Our finding suggests that volumetric reduction of the LC would be a non-invasive biomarker for detecting early pathological changes in AD. |
| 1472 | Relevance-guided Deep Learning for Feature Identification in R2* Maps in Alzheimer’s Disease Classification | |
| Christian Tinauer1, Stefan Heber1, Lukas Pirpamer1, Anna Damulina1, Martin Soellradl1, Maximilian Sackl1, Edith Hofer1, Marisa Koini1, Reinhold Schmidt1, Stefan Ropele1, and Christian Langkammer1 | ||
1Medical University of Graz, Graz, Austria |
||
Using R2* maps we separated Alzheimer's patients (n=119) from healthy controls (n=131) by using a deep neural network and found that the preprocessing steps might introduce unwanted features to be used by the classifier. We systematically investigated the influence of registration and brain extraction on the learned features using a relevance map generator attached to the classification network. The results were compared to our relevance-guided training method. While the resulting classification accuracy on the testset was similar for all training configurations, the relevance-guided method identified anatomical regions, which are known to have higher R2* values. |
| 1473 | Dynamic longitudinal evolving patterns of functional cortical networks in progression of Alzheimer's disease | |
| Wenliang Fan1, Jia Liu1, Jiazheng Wang2, and Jing Wang1 | ||
1Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Philips Healthcare, Beijing, China |
||
The dynamic longitudinal change of brain in progression of AD is still unknown. We analyzed the brain networks of AD patients at different stages. We found in global network properties, most differences only existed between healthy people and patients, and few were discovered between patients at different stages. However, nearly all subnetwork properties showed significant differences between patients at different stages. Moreover, we found two different functional evolving patterns of cortical networks in progression of AD, named ‘Temperature inversion’ and “Monotonous decline”, but not the same monotonous decline trend as the external functional assessment observed in disease progression. |
| 1474 | A novel MRI biomarker for the characterization of early and later forms of Alzheimer’s disease | |
| Marianna Inglese1, Haonan Lu2,3, Matthew Grech-Sollars1,4, and Eric O Aboagye1 | ||
1Surgery and Cancer, Imperial College, London, United Kingdom, 2Cancer Imaging Centre, Imperial College, London, United Kingdom, 3Ovarian Cancer Action Research Centre, Imperial College, London, United Kingdom, 4Department of Imaging, Imperial College Healthcare NHS Trust, London, United Kingdom |
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Alzheimer’s disease(AD) is the most common form of dementia. In the past few decades, great advances have been made in the understanding of its pathophysiology due to the use of biomarkers. Imaging biomarkers, either based on structural brain changes and metabolic alterations alone, or in conjunction with cerebrospinal fluid(CSF) biomarkers, can be informative of the ongoing pathological processes occurring in a patient with AD. In our method, we propose a novel MRI biomarker that is based on the extraction of structural features from a T1-w MRI scan, and it provides biological characterization of early and later forms of AD. |
| 1475 | Distinct fibre-specific white matter reductions pattern in early- and late-onset patients | |
| Shuyue Wang1, Xiao Luo1, Kaicheng Li1, Qingze Zeng1, Yeerfan Jiaerken1, Hui Hong1, Yong Zhang2, Peiyu Huang1, and Minming Zhang1 | ||
1Radiology, The 2nd Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China, 2MR Research, GE Healthcare, Shanghai, China |
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For the first time, we applied fixel-based analysis (FBA) to investigate fibre tract-specific WM changes in early-onset Alzheimer’s disease (EOAD) and late-onset AD (LOAD). To test the repeatability of the results, we repeated the analysis in two independent cohort. We demonstrated that EOAD in two cohorts had more widespread WM tracts loss than LOAD. The different FD extended from the limbic system to long posterior projection regions. Further, we found that FD, rather than FC, had a higher sensitivity in detecting WM loss of EOAD, and vice versa in LOAD. Results may provide clinical clues for early diagnosis of EOAD. |
| 1476 | Source Based Brain Structural Features extraction and Classification on Alzheimer’s Disease | |
| Zhao Qing1, Feng Chen1, Jilei Zhang2, and Bing Zhang1 | ||
1Nanjing Drum Tower Hospital, Nanjing, China, 2Clinical science, Philips Health Care, Shanghai, Shanghai, China |
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We used independent components analysis to analysis the inter-subject variation of the voxel-based morphometry results of 446 subjects of Alzheimer's spectrum. 20 components which reflect the inter subject volume variation were extracted and used as features in SVM. We observed better performance in SVM classification by these features than those using atlas-based method. These findings might be helpful for classification of AD, MCI and NC populations, which provide assistance to the early diagnosis and intervention of Alzheimer’s disease. |
| 1477 | The Evaluation of Cerebral Blood Flow Deficits in Parkinson’s Disease Dementia using ASL-MRI at 3T | |
| Sena Tunçer1, Dilek Betul Arslan1, Tanya Ipek Deniz2, Oznur Aslan 3, Ani Kiçik4,5, Kardelen Eryürek4,6, Emel Erdoğdu4,7, Zerrin Yildirim8, Zeynep Tüfekcioglu8, Basar Bilgic8, Hasmet Hanagasi8, Hakan Gürvit8, Tamer Demiralp4,9, and Esin Ozturk-Isık1 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey, 3Department of Biomedical Engineering, Namik Kemal University, Tekirdağ, Turkey, 4Neuroimaging Unit, Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 5Department of Physiology, Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkey, 6Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey, 7Department of Psychology, Faculty of Arts and Sciences, Isik University, Istanbul, Turkey, 8Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey, 9Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey |
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This study aims to find cerebral blood flow (CBF) deficits in Parkinson’s disease dementia (PDD). ASL-MRI was utilized to obtain CBF values in PD patients with different stages of cognitive decline at 3T. The CBF values were compared using a whole brain voxel-based analysis. The findings of this study revealed that the PDD group had significant CBF reductions in posterior cerebral areas, mostly in visual cortices, but also in medial parietal areas, and cortical and thalamic components of dorsolateral prefrontal fronto-striatal circuit as compared to both PD group with mild cognitive impairment (PD-MCI) and the cognitively normal PD group (PD-CN). |
| 1478 | Topologically Convergent and Divergent Morphological Grey Matter Networks in Parkinson’s Disease with and without Mild Cognitive Impairment | |
| Xueling Suo1,2, Du Lei1,2,3, Wenbin Li1,2,3, Jing Yang1,2, Nannan Li4, Lan Cheng4, Rong Peng4, and Qiyong Gong1,2 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China, 3Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States, 4Department of Neurology, West China Hospital of Sichuan University, Chengdu, China |
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To use graph theory approaches and high resolution T1-weighted structural MRI to explore the brain grey matter (GM) morphological network in patients with Parkinson's disease (PD) with and without mild cognitive impairment (MCI). The individual morphological brain networks were constructed by estimating interregional similarity in the distribution of regional GM volume of 116 brain regions. The lower path length were found in both patients relative to healthy controls. Altered morphological connection primarily in default mode network were common deficits, while different connectivity characteristic in widespread regions involving temporal and subcortical regions, and cerebellum were observed between the patient groups. |
| 1479 | CDR stage of MCI in Parkinson’s disease is associated with whiter matter hyperintensities characteristics: an initial comparison study | |
| Hanyu Wei1, Le He1, Rongsong Zhou2, Xuesong Li3, Shuo Chen1, Yu Ma2, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Department of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, China, 3School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China |
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The aim of this study was to investigate the white matter hyperintensities (WMH) on FLAIR MRI in patients of Parkinson’s disease (PD) with questionable mild cognitive impairment (PD-Q) and without MCI (PD-N). Automatic segmentation and artificial localization of WMH were done to accurately describe WMH characteristics. By the Clinical Dementia Rating (CDR) staging dementia in PD patients, the WMH showed more in the region of bilateral cornu occipital in PD-Q than PD-N. This finding may initially improve understanding about the association between WMH and PD cognitive dysfunction. |
| 1480 | Multivariate Structural and Diffusion MRI Measures Correspond to Mild Cognitive Impairment in Parkinson’s disease | |
| Virendra R Mishra1, Jessica Caldwell1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes1,2, Jeffrey Cummings1,3, Zoltan Mari1, Aaron Ritter1, and Irene Litvan4 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado, Boulder, Boulder, CO, United States, 3Department of Brain Health, University of Nevada, Las Vegas, Las Vegas, NV, United States, 4University of California, San Diego, San Diego, CA, United States |
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Mild Cognitive Impairment (MCI) affects approximately 30% of individuals with Parkinson’s disease (PD). However, no reliable imaging methodology currently exists to identify PD-MCI within PD. We hypothesized that multivariate analysis of sophisticated diffusion-MRI (dMRI) voxelwise measures, volumetric measures, and dMRI-derived graph-theoretical network measures will provide a set of imaging measures that are both sensitive and specific to PD-MCI. Our preliminary analysis with 22 PD-MCI and 15 PD-non-MCI participants suggest that beyond single tensor dMRI voxelwise measures, network measures, and structural MRI-derived measurements might provide both sensitive and specific measures for further multivariate analysis to identify imaging markers corresponding to PD-MCI. |
| 1481 | Longitudinal assessment of brain iron deposition in Alzheimer’s disease | |
| Christian Langkammer1, Anna Damulina1, Lukas Pirpamer1, Martin Soellradl1, Edith Hofer1,2, Christian Tinauer1, Maximilian Sackl1, Christian Enzinger1,3, Stefan Ropele1, and Reinhold Schmidt1 | ||
1Department of Neurology, Medical University of Graz, Graz, Austria, 2Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria, 3Department of Radiology, Medical University of Graz, Graz, Austria |
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Using R2* relaxation rate mapping we found higher iron concentrations in the deep grey matter and neocortical regions in 101 patients with Alzheimer’s disease compared to 101 age-matched community-dwelling individuals. AD patients had significantly higher R2* in the temporal and occipital lobes and caudate nuclei. Independently of brain volume loss, changes in cortical iron levels over time were associated with cognitive decline in participants with Alzheimer's disease. |
| 1482 | Quantitative T1 mapping of the substantia nigra using phase-sensitive inversion recovery: a healthy volunteer study at 3.0 T | |
| Yasuhiro Fujiwara1, Tetsuyoshi Hirai2, Tomohiro Ueda2, Hiroyuki Kumazoe2, and Shigeki Ito3 | ||
1Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan, 2Department of Radiology, National Hospital Organization Omuta National Hospital, Omuta, Japan, 3Department of Medical Radiation Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan |
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We estimated the T1 values of the SN in healthy subjects and clarified its correlation with the SN characteristics obtained in neuromelanin (NM) images to identify an imaging biomarker for early diagnosis of PD. In healthy adults, the area and T1 value of the SN, measured quantitatively from PSIR images, has different characteristics from those obtained from NM images, and may help assess SN degeneration. |
| 1483 | Quantitative measurement of age-related change of myelin content in a large sample of Chinese population | |
| Junye Yao1, Qiqi Tong1, Ting Gong1, Qiuping Ding1, Yi Sun2, Peipeng Liang3, Kuncheng Li4, Hongjian He1, and Jianhui Zhong1,5 | ||
1Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Shanghai, China, 3School of Psychology, Capital Normal University, Beijing, China, 4Department of radiology, Xuanwu Hospital Capital Medical University, Beijing, China, 5Department of Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Magnetic resonance structural images of 902 Chinese subjects were used to study the change of myelin content with the age based on the T1-weighted/T2-weighted ratio. Significant quadratic age effects were observed in white matter tracts and subcortical areas. The gender difference was reflected in the results that the myelin content levels are higher and begin to decline earlier in women. The inverted U-shape myelin-vs-age curve accords with the existing research literature. However, the age of the observed peaks may have been delayed by iron deposition in basal ganglia. |
| 1484 | Age and location related hemodynamic changes in the carotid artery of healthy adults assessed by 4D flow MRI | |
| Guiling Zhang1 and Wenzhen Zhu1 | ||
1Tongji hospital, Wuhan, China |
||
Atherosclerosis is the predominant risk factor of ischemic stroke. Age and location are intrinsic factors in the development of carotid artery plaque. Therefore, the relationship between hemodynamic changes and location/age in healthy subjects can help understand how the hemodynamic states influence carotid incidents. Our study found velocity/WSS/PG decreased with age. And proximal ICA, the most common point arising atherosclerotic plaque, displayed the lowest velocity/WSS/PG. It may imply this state of hemodynamics are more likely to cause atherosclerotic plaques. The multi-parameter analysis of 4D flow MRI may offer suggestions for choosing age and location matched control cohorts in future study. |
| 1485 | FUNCTIONAL DISCONNECT PRECEDES STRUCTURAL ATROPHY IN CONFIRMED MULTI-DOMAIN AMNESTIC MILD COGNITIVE IMPAIRMENT | |
| Kathryn Broadhouse1, Natalie Winks1, and Mathew Summers1 | ||
1University of the Sunshine Coast, Sunshine Coast, Australia |
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Recent work suggests that aberrant functional neurocircuitries arise prior to significant structural atrophy and clinically cognitive deficits in dementia. Using a rigorous, longitudinally confirmed multi-domain amnestic MCI cohort we show that functional decoupling of networks implicated in memory and executive function, occur prior to measurable MTL atrophy in this population. Moreover, we show that decreased functional connectivity in these networks is associated with poorer cognitive performance. Further longitudinal studies investigating the neuronal underpinnings of disease progression will provide insight into potential functional biomarkers and establish significance of functional decoupling within the sequential model of dynamic biomarkers of Alzheimer’s pathological cascade. |
| 1486 | Progressive Increased Degree Centrality in Alzheimer’s Disease and Mild Cognitive Impairment: A Resting-state fMRI Study | |
| Yuan Luo1, Chunchao Ma2, Xianchang Zhang3, Xiuwei Fu4, and Hongyan Ni5 | ||
1Department of Radiology, First Central Clinical College, Tianjin Medical University, Tianjin, China, 2Department of Neurology, Tianjin First Central Hospital, Tianjin, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China, 5Department of Radiology, Tianjin First Central Hospital, Tianjin, China |
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Brain network alterations remain poorly understood in mild cognitive impairment (MCI). This functional magnetic resonance imaging (fMRI) study aimed to investigate the degree centrality alterations in patients with Alzheimer's disease (AD) and MCI using graph theory analyses based on a population-specific template, as well as associations with neuropsychological test scores. The degree centrality of the left middle frontal gyrus and left medial superior frontal gyrus increased as patients’ cognitive function and daily activities declined. These findings suggest that abnormalities in the network topology progress in the prodromal and clinical stages of AD and are associated with clinical manifestations. |
| 1487 | Role of Diffusion MRI-Derived Free Water Fraction in Predicting Progression to Alzheimer’s Disease Dementia from Mild Cognitive Impairment | |
| Virendra R Mishra1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Dietmar Cordes1,2, Jeffrey Cummings1,3, Jessica Caldwell1, and Aaron Ritter1 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado, Boulder, Boulder, CO, United States, 3Department of Brain Health, University of Nevada, Las Vegas, Las Vegas, NV, United States |
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We hypothesized that diffusion-MRI (dMRI)-derived free-water fraction (fiso) will show a significantly lower and a faster change over time in mild cognitive impaired (MCI) participants who progressed to Alzheimer’s disease (AD) dementia in various cortical, subcortical, and white-matter fiber tracts compared to those who did not progress to AD dementia. Utilizing five β-Amyloid (Aβ) positive (+)/ApoE-4 carriers MCI participants who progressed to AD dementia within one-year, and thirteen Aβ+/ApoE-4 carriers MCI participants who did not progress to AD dementia within one-year, we showed that although the relationship between various cortical/subcortical volume and fiso is complex, it was distinct between groups. |
| 1488 | Imaging cerebral ketone metabolism with hyperpolarized 13C magnetic resonance spectroscopy | |
| Lydia M Le Page1,2, Soo Hyun Shin3, Kai Qiao1,2, and Myriam M Chaumeil1,2 | ||
1Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, CA, United States, 2Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3Bioengineering, University of California, Berkeley, Berkeley, CA, United States |
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As ketogenic diets have been shown to elicit cognitive improvements in Alzheimer’s disease (AD) patients, non-invasive methods allowing for in vivo monitoring of brain ketone metabolism are critically needed to understand and monitor these observations. We hypothesized that 13C magnetic resonance spectroscopy of hyperpolarized (HP) [1-13C] beta-hydroxybutyrate (BHB) could be used to monitor response to ketogenic diets in health and AD. Here, we characterized HP [1-13C] BHB and validated an AD mouse model for application of our HP probe. We also carried out the first proof-of-concept acquisition of data showing in vivo metabolism of HP BHB in the mouse brain. |
| 1489 | Sensitivity of ASL MRI for Detecting Perfusion Abnormalities in Frontotemporal Dementia: Preliminary Comparison with 15O-water PET | |
| Tracy Ssali1,2, Lucas Narciso1,2, Justin Hicks1,2, Matthias Günther3, Frank Prato1,2, Udunna Anazodo1,2, Elizabeth Finger4, and Keith St Lawrence1,2 | ||
1Lawson Health Research Institute, London, ON, Canada, 2Department of Medical Biophysics, Western University, London, ON, Canada, 3Fraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany, 4Department of Clinical Neurological Sciences, Western University, London, ON, Canada |
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The ability of arterial spin labeling (ASL) to detect perfusion abnormalities in clinical populations, such as frontotemporal dementia, can be limited by poor signal to noise and transit-time artefacts. Recent advances in ASL imaging protocols should enable detection of more subtle perfusion abnormalities. This study presents a head-to-head comparison of regional hypoperfusion detected by ASL and PET with radiolabeled water (15O-water) - the gold standard for measuring CBF in humans. While 15O-water PET data showed greater sensitivity, as identified by larger and focal clusters on the t-maps, similar areas of hypoperfusion were identified by ASL, particularly with relative CBF. |
| 1490 | MRI subfield hippocampal volumetric analysis combined with amyloid PET result: Comparison between mild cognitive impairment, major depressive disorder and healthy elderly subjects. | |
| Doonyaporn Wongsawaeng1, Chanon Ngamsombat1, Tanyaluck Thientunyakit1, Weerasak Muangpaisan2, Suwit Charoensuk3, Panida Charnchaowanish1, and Orasa Chawalparit1 | ||
1Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, Bangkok, Thailand, 2Department of Geriatric Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, Bangkok, Thailand, 3Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand, Bangkok, Thailand |
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Hippocampus is a part of limbic system involving both neurodegenerative disease and emotional regulation circuit. This study aimed to use MRI automated subfield hippocampal volumetric analysis to differentiate mild cognitive impairment (MCI) from major depressive disorder (MDD) and age-matched healthy elderly (HE) subjects. We found a trend of relative smaller size in several subfield hippocampal regions in MCI than MDD patients. Even though, there were no statistical significance. These may raise possibility of MRI volumetry to be the tool for discriminating early neurodegenerative disease from major depressive disorder. |
| 1491 | Greater BBB permeability change in APOE4 carrier in cognitively normal and mild cognitive impaired subjects: a new imaging phenotype for APOE4 | |
| Won-Jin Moon1, Ilheon Ha1, Changmok Lim1, Yaehoon Kim1, Yeolsil Moon2, and Seol-Heui Han2 | ||
1Radiology, Konkuk University Medical Center, Seoul, Republic of Korea, 2Neurology, Konkuk University Medical Center, Seoul, Republic of Korea |
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In normal and cogntively impaired subjects, BBB permeability of hippocampus is increased in APOE4 carrier group than in APOE4 non-carrier group. After adjusting for education years, and medial temporal lobar atrophy, the only valuable predicting factor for predicting cognitive function was BBB permeability of hippocampus. Our study indicates that BBB permeability imaging can be a distinct imaging phenotype of APOE4 mutation as well as an early imaging marker for clinical decline in cognitive impaired subjects. |
| 1492 | Aberrant cerebral blood flow in patients with subjective cognitive decline: a whole-brain atlas based analysis | |
| Hongyuan Ding 1, Yi Zhu 2, Han Wu 3, Ling Zhang 1, Yaxin Gao 4, Qian Zhong 4, Qiumin Zhou 2, Ming Qi 1, Long Qian 5, Weiqiang Dou5, and Tong Wang2 | ||
1Radiology department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Rehabilitation Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3Rehabilitation Department, Nanjing Drum Tower Hospital, The Affiliated Hospital of the Medical School at Nanjing University, Nanjing, China, 4Nanjing Medical University, Nanjing, China, 5MR Research China, GE Healthcare, Beijing, China |
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In this study, the whole brain cerebral blood perfusion (CBF) values have been respectively investigated for patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) and healthy controls (HCs). Significantly lower CBF values for the left superior frontal gyrus, left middle frontal gyrus, and left caudate nucleus regions have been shown in SCD patients than HCs. Additionally, the CBFs at these regions also showed strong correlations with multiple clinical scales. Therefore, CBF can be considered an effective tool in the early detection of SCD patients. |
| 1493 | Establishing and evaluating reference atrophy ranges from consecutive image pairs in brain MR volumetry | |
| Jonas Richiardi1,2, Bénédicte Maréchal1,2,3, Ricardo Corredor2, Mazen Mahdi2, Reto Meuli1, and Tobias Kober1,2,3 | ||
1Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 3LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Estimating clinical significance of changes in regional brain volumetry using only two consecutive images is difficult because algorithmic measurement error dominates actual biological changes in short-term (less than a year) follow-up imaging. Here, we evaluate an approach to compute reference ranges from image pairs, using empirical Bayesian regularization. With over 6400 image pairs, we evaluate the impact of regularization strength and time between images. Regularization is essential; optimal regularization amount depends on brain region. Increased time between pairs of images improves clinical discrimination in dementia. We recommend a minimum of eight months to one year to obtain discriminative atrophy estimates. |
| 1494 | Quantitative susceptibility mapping of brain iron deposition in patients with cerebral small-vessel disease with cerebral microbleeds | |
| Lingfei Guo1,2, Liangdong Zhou1, Thanh D. Nguyen1, Weiyuan Huang1, Junghun Cho1, and Yi Wang1 | ||
1Weill Cornell Medicine, Cornell University, New York, NY, United States, 2Shandong Medical Imaging Research Institute Affiliated to Shandong University, Jinan, China |
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Quantitative susceptibility mapping (QSM) was used to evaluate and compare the characteristics of iron deposition in gray matter nuclei of the brain between patients with cerebral small-vessel disease and cerebral microbleeds (CSVD-CMBs) and those with CSVD and no CMBs（CSVD–no CMBs). The susceptibility values of the bilateral caudate nucleus, putamen, red nucleus, and substantia nigra were significantly higher in patients with CSVD-CMBs than in those with CSVD–no CMBs and in healthy controls. The change in the susceptibility values of these regions may be an imaging marker of cognitive decline in patients with CSVD. |
| 1495 | Magnetic Resonance Fingerprinting May Differentiate Parkinson’s Disease From Healthy Controls | |
| Yan Bai1, Rushi Chen1, Rui Zhang1, Wei Wei1, Ying Wang1, Mathias Nittka2, Gregor Koerzdoerfer2, Xianchang Zhang3, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China, 2MR Pre-development, Siemens Healthcare, Erlangen, Germany, 3MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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Magnetic resonance parametric mapping techniques such as T1 and T2 relaxation time mapping have been used to capture the potential Parkinson’s disease (PD)-related changes in the substantia nigra (SN). However, the findings in different studies were inconsistent. This study utilized a novel technique magnetic resonance fingerprinting (MRF) to obtain T1 and T2 values on thirty patients with PD and thirty matched healthy controls. Comparison results found that T1 values of the left and right SN in the PD patients were significantly higher than in healthy controls. T1 values in the SN acquired by MRF may differentiate PD from healthy controls. |
| 1496 | Different patterns of perfusion changes in tremor-dominant Parkinson’s disease and essential tremor using 3D arterial spin labeling imaging | |
| Yong Zhang1, Jian Wang2, Chang-Peng Wang2, Li-Rong Jin2, and Bing Wu3 | ||
1GE Healthcare, Shanghai, China, 2Zhongshan Hospital, Shanghai, China, 3GE Healthcare, Beijing, China |
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This preliminary study aimed to identify potential markers in diagnosis of tremor disorders such as tremor-dominant Parkinson’s disease (PDT) and essential tremor (ET). A novel 3D pulsed-continuous arterial spin labeling technique (3D pCASL) was used to provide whole brain quantitative perfusion measurement, followed by voxel-wise comparison to evaluate regional CBF characteristics in patients with PDT, ET and age- and gender- matched healthy controls. PDT patients showed decreased CBF in the caudate and precuneus when compared to ET patients. The altered metabolic patterns of PDT and ET can help to understand different pathophysiological mechanism of tremor disorders. |
| 1497 | Fixel-based analysis on white matter changes in patients with Parkinson's disease, progressive supranuclear palsy and multiple system atrophy | |
| Nguyen Thanh Thao1, Chih-Chien Tsai2, Yao-Liang Chen3, Jur-Shan Cheng4, Chin-Song Lu5, Yi-Hsin Weng5, Sung-han Lin4, Po-Yuan Chen4, and Jiun-Jie Wang6 | ||
1Department of Radiology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam, 2Healthy Aging Research Center, Chang-Gung University, TaoYuan, Taiwan, 3Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Keelung Branch, Keelung, Taiwan, 4Chang-Gung University, TaoYuan, Taiwan, 5Division of Movement Disorders, Department of Neurology, Chang Gung Memorial Hospital, Linkou Branch, TaoYuan, Taiwan, 6Department of Medical Imaging and Radiological Sciences, Chang-Gung University, TaoYuan, Taiwan |
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White matter degeneration have been attributed to the motor and non-motor symptoms of Parkinson’s disease and atypical parkinsonism. Our study shows different pattern of white matter changes in multiple system atrophy and progressive supranuclear palsy compared to Parkinson’s disease. Furthermore, different affected areas of white matter changes were found among atypical parkinsonism. The involved regions are consistent with the understanding of the pathogenesis of the diseases. Our result proves that fixel based analysis is a robust technique to study white matter degeneration in PD and atypical parkinsonism. |
| 1498 | Perfusion-Based Biomarkers of Mild Cognitive Impairment in Parkinson’s disease with different MAPT haplotypes using Arterial Spin Labeling MRI | |
| Dilek Betul Arslan1, Hakan Ibrahim Gurvit2, Ozan Genc1, Ani Kicik3,4, Kardelen Eryurek3,5, Sevim Cengiz1, Emel Erdogdu3,6, Zerrin Yildirim2, Zeynep Tufekcioglu2, Aziz Mufit Ulug1,7, Basar Bilgic2, Hasmet Hanagasi2, Erdem Tuzun5, Tamer Demiralp3,8, and Esin Ozturk-Isik1 | ||
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 2Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey, 3Neuroimaging Unit, Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 4Department of Physiology, Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkey, 5Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey, 6Department of Psychology, Faculty of Arts and Sciences, Isik University, Istanbul, Turkey, 7CorTechs Labs, San Diego, CA, United States, 8Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey |
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The main purpose of this study was to define possible brain perfusion deficits in risky gene carriers in Parkinson’s disease (PD) using arterial spin |
| 1499 | The Cerebral Blood Flow Changes in Parkinson’s Disease with Mild Cognitive Impairment Using Arterial Spin Labeling MRI | |
| Dilek Betul Arslan1, Hakan Ibrahim Gurvit2, Ozan Genc1, Ani Kicik3,4, Kardelen Eryurek3,5, Sevim Cengiz1, Emel Erdogdu3,6, Zerrin Yildirim2, Zeynep Tufekcioglu2, Aziz Mufit Ulug1,7, Basar Bilgic2, Hasmet Hanagasi2, Tamer Demiralp3,8, and Esin Ozturk-Isik1 | ||
1Biomedical Engineering Institution, Bogazici University, Istanbul, Turkey, 2Behavioral Neurology and Movement Disorders Unit, Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey, 3Neuroimaging Unit, Hulusi Behcet Life Sciences Research Center, Istanbul University, Istanbul, Turkey, 4Department of Physiology, Faculty of Medicine, Demiroglu Bilim University, Istanbul, Turkey, 5Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey, 6Department of Psychology, Faculty of Arts and Sciences, Isik University, Istanbul, Turkey, 7CorTechs Labs, San Diego, CA, United States, 8Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey |
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The main aim of this study is to define possible brain perfusion-based signatures based on voxelwise comparison of cerebral blood flow (CBF) maps of Parkinson’s disease (PD) with mild cognitive impairment, cognitively normal PD and healthy controls. CBF maps were calculated by fitting a general kinetic curve model with Look-Locker readout for each pixel of arterial spin |
| 1500 | Quantitative assessment of abnormal susceptibility, R1 and R2* changes in the deep gray matter nuclei in Parkinson’s disease and essential tremor | |
| Kiarash Ghassaban1,2, Sean Kumar Sethi1,2, David Utriainen3, Zenghui Cheng4, Pei Huang5, Yan Li4, Rongbio Tang 4, Paul Kokeny3, Kiran Kumar Yerramsetty6, Vinay Kumar Palutla6, Shengdi Chen 5, Fuhua Yan4, and Ewart Mark Haacke1,2,4 | ||
1Radiology, Wayne State University, Detroit, MI, United States, 2Biomedical Engineering, Wayne State University, Detroit, MI, United States, 3SpinTech, Bingham Farms, MI, United States, 4Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 5Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 6MR Medical Imaging Innovations, Telangana, India |
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This work proposes two investigated problems. The first is the separation of confounding tissue properties of deep gray matter using R1, R2*, and QSM from a 3D GRE protocol known as STAGE by sampling a distribution of low and high iron regions across subjects, including very high iron regions in aceruloplasminemia. The second is investigating if we see any differences in these structures in Parkinson’s Disease, essential tremor, and healthy control subjects. These problems are investigated to show that susceptibility changes and R1 are linked, and that water and iron related changes are observable when comparing controls versus Parkinson’s Disease |
| 1501 | Exploration of structural brain volume changes in patients with early- and middle-late-onset Parkinson's disease using the MPRAGE sequence | |
| Ruichen Zhao1, Chunyan Zhang1, Jinxia Zhu2, Bénédicte Maréchal3, Chen Chen1, Hong Lu4, and Jingliang Cheng1 | ||
1Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG；Department of Radiology, Lausanne University Hospital and University of Lausanne；LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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In this study, the structural brain volume changes in early-onset (EOPD) and middle-late-onset Parkinson’s disease (M-LOPD) patients were evaluated. We found different patterns of volume changes in these patients. The results showed that some brain regions might represent a potential imaging marker for the early diagnosis of EOPD and could explain different clinical characteristics. MPRAGE-based morphometry may be a suitable method to provide a reference for EOPD diagnoses in clinical practice. |
| 1502 | Localization of the iron deposits along myelinated fibers within the substantia nigra of progressive supranuclear palsy on brain MRI | |
| Hansol Lee1, Sun-Yong Baek2, Eun-Joo Kim3, Gi Yeong Huh4, Jae-Hyeok Lee5, and HyungJoon Cho1 | ||
1Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 2Department of Anatomy, Pusan National University School of Medicine, Yangsan, Korea, Republic of, 3Department of Neurology, Pusan National University Hospital, Busan, Korea, Republic of, 4Department of Forensic Medicine, Pusan National University School of Medicine, Yangsan, Korea, Republic of, 5Department of Neurology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea, Republic of |
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The purpose of this study was to determine the morphology change in the substantia nigra of progressive supranuclear palsy using MRI with histopathological validation. MR experiments for progressive supranuclear palsy brains were operated using 3T in vivo and 7T postmortem imaging systems. Perls’ Prussian blue staining, Luxol fast blue staining, and LA-ICP-MS for 2D iron mapping confirmed the large amount of iron deposits along the myelinated fibers within substantia nigra of PSP brain. The iron deposits along the myelinated fibers could be the potential source causing the blurred boundary between red nucleus and substantia nigra in in vivo MRI. |
| 1503 | Functional compensation on disrupted cingulate structural network in Parkinson’s disease | |
| Cheng Zhou1 and Minming Zhang1 | ||
1Zhejiang university, Hangzhou, China |
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Parkinson’s disease (PD) is the second most common neurodegenerative disease and its related brain changes appear not to be localized in isolate region but rather in the networks. We desire to exploring the large-scale structural and functional networks change which are of great importance for understanding the mechanism of disease. Moreover, it deserves to further answer the unsolved question that whether a functional compensation resulting from structural network disruption and whether such effect would be lasting or changed longitudinally. |
| 1504 | Disrupted interhemispheric coordination with unaffected lateralization of global eigenvector centrality characterizes hemiparkinsonism. | |
| Jingjing Wu1, Tao Guo1, Cheng Zhou1, Ting Gao 2, Xiaoujun Guan 1, Peiyu Huang1, Xiaojun Xu1, and Minming Zhang1 | ||
1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China |
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The motor dysfunctions always affect hemi-body first in Parkinson's disease (PD). However, the interhemispheric relationships in patients with only unilateral motor impairment were barely known to date. In this study, 43 unilateral-symptomatic PD patients (UPD, Hoehn-Yahr staging scale, H-Y: 1-1.5), and 54 NC were recruited. We aimed to investigate the interhemispheric coordination and hemispheric dominance pattern for further understanding the pathogenesis of PD. We found that the disrupted interhemispheric coordination in bilateral sensorimotor regions may have significant implications for elucidating the mechanisms underlying the hemiparkinsonism and enabling the individual diagnosis and assessment of early PD. |
| 1505 | Differential clinical associations of Periventricular and Deep White Matter Hyperintensities on FLAIR | |
| Han Yu1, Jingyun Chen1, Henry Rusinek2, and Yulin Ge3 | ||
1Department of Neurology, New York University School of Medicine, New York, NY, United States, 2Department of Neurology and Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Radiology, New York University School of Medicine, New York, NY, United States |
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In this study, we examined the differences of two subtypes of white matter hyperintensities (WMHs), periventricular WMHs (PVWMH) and deep WMHs (DWMH) on MRI, as they associate with cognitive dysfunction and dementia, and other clinical assessments of the elderly. A robust computational method (Bilateral Distance classification) was implemented to quantify PVWMH and DWMH. Clinical associations revealed by the algorithm are consistent with the literature findings based on subjective classification methods that the two types of WMHs have differential clinical associations and may have different pathological etiologies and roles in cognitive impairment and dementia. |
| 1506 | Investigation of iron-sensitive MRI biomarkers for non-motor symptoms in early stage Parkinson’s disease | |
| Seulki Yoo1,2, MinKyeong Kim3,4, Doyeon Kim5, Jin Whan Cho3,4, Ji Sun Kim3,4, Jong Hyun Ahan3,4, Jun Kyu Mun3,4, Jinyoung Youn3,4, and Seung-Kyun Lee1,2 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of, 3Department of Neurology, Samsung Medical Center, Seoul, Korea, Republic of, 4Neuroscience Center, Samsung Medical Center, Seoul, Korea, Republic of, 5Department of Biomedical Engineering, Gachon University, Incheon, Korea, Republic of |
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Deep brain iron accumulation in Parkinson’s disease (PD) has been much studied in MRI but its involvement in clinical non-motor symptoms has been inconclusive. In this work we investigated the correlation between the deep brain iron contents and a wide array of non-motor symptoms in drug naive early PD patients using QSM and R2* mapping at 3T. We found that many non-motor symptoms are significantly correlated with R2* in the extra-striatal system, in particular the thalamus and red nucleus. |
| 1507 | Insula structural changes and behavioral disinhibition in Parkinson’s Disease | |
| Megan Aumann1,2, Kathleen Larson3, Elise Bradley4, David Zald2,5, Ipek Oguz3, and Daniel O Claassen6 | ||
1Neurology, Vanderbilt University, Nashville, TN, United States, 2Psychology, Vanderbilt University, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Neuropsychiatry, Vanderbilt University Medical Center, Nashville, TN, United States, 5Psychiatry, Vanderbilt University Medical Center, Nashville, TN, United States, 6Neurology, Vanderbilt University Medical Center, Nashville, TN, United States |
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Parkinson’s Disease (PD) patients who take dopaminergic therapy are at risk for developing impulsive-compulsive behaviors, and these behaviors localize to the mesocorticolimbic regions. Using a caregiver-reported values from the Frontal Systems Behavioral Scale (FrSBe), we assessed disinhibition, apathy, and dysexecutive symptoms in 72 PD patients. All participants completed brain MRI, and we measured cortical thickness in frontal regions, assessing the relationship between cortical thickness and FrSBE scores. We find that thickness in the insula is directly related to disinhibited behaviors. These results provide new insights into how cortical changes and behavioral symptoms are linked in PD. |
| 1508 | Characterisation of white matter integrity and functional connectivity in ApoE4 and ApoE3 mice | |
| Jiayi Zhang1, Ling Yun Yeow1, Joanne Huifen Koh2, Isaac Huen1, Pei Huang1, Tuck Wah Soong2, Boon Seng Wong2,3, Kuan Jin Lee1, and Bhanu Prakash KN1 | ||
1SBIC, A*STAR, Singapore, Singapore, 2Department of Physiology, National University of Singapore, Singapore, Singapore, 3Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore |
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Cholesterol-transporter ApoE4 is involved in lipid metabolism and is associated with neurodegenerative diseases. Studies show, functional connectivity(FC) in ApoE4 mice is significantly deviating from ApoE3 and Wild-Type(WT). Underlining cause of these differences are less explored. Since myelin is mostly comprised of cholesterol, we investigated if a change in white matter integrity(WMI) could have contributed to the FC changes. FC and WMI in ApoE4 are distinctively different from ApoE3 and WT as shown by our results. Our results within the auditory cortex show that an increase in FA in ApoE4 is associated with a decrease of FC in the region. |
| 1509 | Comparison of T1/T2 values of white matter and deep gray matter between healthy controls and Parkinson’s disease patients using plug-and-play MRF | |
| Koji Fujimoto1, Martijn A. Cloos2, Atsushi Shima3, Thuy Dinh Ha Duy1, Nobukatsu Sawamoto4, Ryosuke Takahashi3, Tadashi Isa1,5, and Tomohisa Okada1 | ||
1Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Neurology, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan, 5Department of Neuroscience, Kyoto University Graduate School of Medicine, Kyoto University, Kyoto, Japan |
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To investigate changes in T1 and T2 of deep gray matter in Parkinson’s disease (PD) patients at 7T, healthy volunteers (N=104, age range 20-77) and PD patients (N=42, age range 50-72) were scanned using a 1ch-Tx/32ch-Rx coil and a Plug-and-Play MR Fingeprinting (prototype) sequence. ROIs were drawn in six regions (left and right putamen, globus pallidus, caudate head, thalamus, frontal white matter (WM)) and a linear and quadratic curve fitting was performed. T2 value of the putamen was larger in PD than the age-matched subgroup of HC, but was not significant. |
| 1510 | Quantitative Evaluation of Impaired Neuroenergetics in Parkinson’s Disease and the Treatment Effects of Ursodeoxycholic Acid | |
| Xiao-Hong Zhu1, Byeong-Yuel Lee1, Lisa Coles2, Abhishek G Sathe2, Paul Tuite3, Jim Cloyd2, Walter Low4, Clifford J. Steer5, Chi Chen6, and Wei Chen1 | ||
1CMRR, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States, 3Department of Neurology, University of Minnesota, Minneapolis, MN, United States, 4Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, 5Departments of Medicine and Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, United States, 6Department of Food Science and Nutrition, University of Minnesota, Minneapolis, MN, United States |
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Abnormal energy metabolism due to mitochondrial dysfunction is thought to be a major contributor to the progression of Parkinson’s disease (PD). We employed 31P MRS-MT technique at 7T to quantify key bioenergetic parameters in the occipital lobe of people with PD (PWPs). Significantly lower intracellular ATP concentrations together with elevated ATPase activity was found in PWPs; suggesting that augmented ATPase enzymatic activity may represent a compensatory mechanism to bioenergetic deficits that occur in PD. The FDA-approved drug, ursodeoxycholic acid (UDCA), shown to have energy-enhancing properties was evaluated for its effect on improving neuroenergetics in PWPs using the 31P MRS-MT approach. |
| 1511 | Susceptibility Map-Weighted Imaging and Neuromelanin-Sensitive MRI in Parkinson’s Disease | |
| Septian Hartono1,2, Isabel Hui Min Chew3, Weiling Lee3, Amanda May Yeng Choo1, Celeste Yan Teng Chen1, Leon Qi Rong Ooi4, Lirong Yin3, Kuan Jin Lee5, Jongho Lee6, Ching-Yu Cheng7, Eng King Tan1,2, and Ling Ling Chan2,3 | ||
1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Singapore General Hospital, Singapore, Singapore, 4National University of Singapore, Singapore, Singapore, 5Singapore BioImaging Consortium, Singapore, Singapore, 6Seoul National University, Seoul, Republic of Korea, 7Singapore Eye Research Institute, Singapore, Singapore |
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Nigrosome-1 imaging and neuromelanin contrast have been identified as good radiological biomarkers of dopaminergic nigral degeneration in Parkinson's disease (PD) pathology. We evaluated the sensitivity of quantitative Susceptibility-Mapping Weighted Imaging (SMWI) derived from Quantitative Susceptibility Mapping (QSM) and neuromelanin sensitive (NMS) imaging in differentiating a case control cohort of PD patients. Region-of-interest analysis of the substantia nigra on both QSM/SMWI and NMS offered excellent differentiation of PD and healthy controls. However, QSM/SMWI offered more robust disease classification compared to NMS and might be preferred for use in the clinical setting. |
| 1512 | ViSTa Myelin Water Imaging in Parkinson’s Disease | |
| Septian Hartono1,2, Leon Qi Rong Ooi3, Amanda May Yeng Choo1, Celeste Yan Teng Chen1, Amanda Jieying Lee4, Weiling Lee4, Pik Hsien Chai4, Kuan Jin Lee5, Jongho Lee6, Eng King Tan1,2, and Ling Ling Chan2,4 | ||
1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3National University of Singapore, Singapore, Singapore, 4Singapore General Hospital, Singapore, Singapore, 5Singapore BioImaging Consortium, Singapore, Singapore, 6Seoul National University, Seoul, Republic of Korea |
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There is increasing evidence that myelin can be directly involved in Parkinson's disease (PD). We investigated the utility of ViSTa myelin water imaging (MWI) to characterize changes in myelination in PD. Slight decrease of global white matter myelin water fraction (MWF) was observed in PD patients. MWF was also associated with cognitive status, while no such association was found between DTI metrics and cognitive status. These indicated that MWF may potentially be a more specific biomarker for dysmyelination in the brain. |
| 1513 | Default mode network connectivity differences in levodopa responsive subtypes of Parkinson’s disease patients with freezing of gait. | |
| Karthik R Sreenivasan1, Xiaowei Zhuang1, Jason Longhurst1, Zhengshi Yang1, Dietmar Cordes1, Aaron Ritter1, Jessica Caldwell1, Jeffrey L Cummings1, Zoltan Mari1, Irene Litvan2, Brent Bluett3, and Virendra Mishra1 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of California San Diego, La Jolla, CA, United States, 3Stanford University, Palo Alto, CA, United States |
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Dopaminergic deficiency can cause altered deactivation of the default mode network (DMN) connectivity, which subsequently impacts executive task performance resulting in freezing of gait (FOG). While the majority of Parkinson’s disease (PD) patients with FOG (PD-FOG) are responsive to levodopa, about 36% of PD patients are levodopa-resistant. Our results show increased DMN connectivity in levodopa-resistant PD-FOG group. Furthermore, we found that altered network connectivity in the levodopa-resistant group was correlated differently with neuropsychological measures. To the best of our knowledge this is the first study to investigate the functional connectivity differences in levodopa-resistant subtypes in PD-FOG. |
| 1514 | Data-driven model of Parkinson’s disease progression performs precision staging with magnetic resonance imaging biomarkers | |
| Neil P Oxtoby1, Leon M Aksman2, Louise-Ann Leyland3, Rimona S Weil3, and Daniel C Alexander1 | ||
1Department of Computer Science, University College London, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Department of Neurodegenerative Diseases, University College London, London, United Kingdom |
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We estimate a data-driven signature of de novo Parkinson's disease progression as a sequence of disease events. We show that clinical decline in classic markers precedes grey-matter and white-matter neurodegeneration estimated from T1-weighted MRI and diffusion-weighted MRI. Using only cross-sectional data from the PPMI data set, we show model utility for fine-grained staging/stratification of patients, which holds promise for future clinical applications. |
| 1515 | Beyond Single Tensor Diffusion Metrics to Quantify White Matter Disorganization in Parkinson’s disease With Freezing of Gait | |
| Virendra R Mishra1, Jason Longhurst1, Jessica Caldwell1, Aaron Ritter1, Karthik R Sreenivasan1, Xiaowei Zhuang1, Zhengshi Yang1, Zoltan Mari1, Dietmar Cordes1,2, Jeffrey Cummings1,3, Irene Litvan4, and Brent Bluett5 | ||
1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado, Boulder, Boulder, CO, United States, 3Department of Brain Health, University of Nevada, Las Vegas, Las Vegas, NV, United States, 4University of California, San Diego, San Diego, CA, United States, 5Stanford University, Stanford, CA, United States |
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Freezing-of-gait (FoG) which is one of the main causes of falls in Parkinson’s disease (PD), results in significant morbidity and mortality. Currently, there are no robust methods of elucidating the neural mechanisms underlying this disabling aspect of PD. Utilizing a well-characterized cohort of PD-patients with-FoG (PD-FoG), PD-patients without-FoG (PD-nFoG), and healthy controls, we showed that diffusion kurtosis imaging and free-water corrected single-tensor diffusion MRI (dMRI)-derived measures identified significant differences in dMRI-derived measures between PD-FoG and PD-nFoG. Our study indicate that these beyond single-tensor dMRI models may identify robust and generalizable dMRI-derived measures to elucidate the neural mechanisms underlying PD-FoG. |
| 1516 | Investigating Iron deposition in the Substantia Nigra of Early Parkinson’s Disease and Idiopathic REM Sleep Behavior Disorder using QSM and R2* | |
| Rahul Gaurav1,2, Romain Valabregue1, Nadya Pyatigorskaya1, Emma Biondetti1, Graziella Mangone3, Claire Ewenczyk4, Matthew Hutchison5, Isabelle Arnulf6, Jean-Christophe Corvol4, Marie Vidailhet4, Mathieu D. Santin1, and Stephane Lehericy1 | ||
1CENIR - Center for Neuroimaging Research, ICM - Brain and Spine Institute, Paris, France, 2Move'IT - Movement Investigations and Therapeutics, ICM - Brain and Spine Institute, Paris, France, 3Clinical Investigation Center (CIC-9503), INSERM - French National Institute of Medical Research and Health, Paris, France, 4Department of Neurology, Pitie-Salpetriere Hospital, Paris, France, 5Biogen Inc., Cambridge, MA, United States, 6Sleep Disorders Unit, Pitie-Salpetriere Hospital, Paris, France |
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Parkinson’s disease (PD) and idiopathic rapid eye movement sleep behavior disorder (iRBD) demonstrate neurodegenerative changes in the substantia nigra (SN) associated with an increase in iron deposition in PD patients. We aimed to quantify iron overload in the SN in early stage PD and iRBD patients using QSM-based and neuromelanin (NM)-based automated segmentation for QSM and R2* maps. We observed an increase in iron deposition in both early PD and iRBD patients with respect to healthy volunteers (HV). |
| 1517 | Substantia nigra changes in Parkinson’s Disease: correlation between Neuromelanin contrast and Free Water fraction | |
| Joana M Grilo1, Marc Golub1, Sofia Reimão2,3, Rafael Neto Henriques4, Ana Fouto1, Patrícia Pita Lobo3, Margherita Fabbri3, Joaquim J Ferreira3,5, and Rita G Nunes1 | ||
1Department of Bioengineering, ISR-Lisbon/LARSyS, Lisbon, Portugal, 2Neurological Imaging Department, Hospital de Santa Maria - CHLN, Lisbon, Portugal, 3Instituto de Medicina Molecular, Faculty of Medicine, University of Lisbon, Lisbon, Portugal, 4Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal, 5CNS – Campus Neurológico Sénior, Torres Vedras, Portugal |
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Parkinson’s Disease is characterized by the degeneration of neuromelanin (NM)-containing neurons in the Substantia Nigra (SN). MRI techniques have emerged aiming to evaluate PD disease progression. NM-MRI (current gold-standard), depicts a reduction in signal intensity at the posterior SN. Recently, free water (FW) fraction maps obtained from DWI, have shown an increase of FW in the SN in PD. This work’s goal was to evaluate how the FW and NM signal relate. A negative correlation between FW and NM was observed in the SN posterior region, suggesting that both metrics can potentially be used as imaging biomarkers. |
| 1518 | In-vivo Visualization of Locus Coeruleus using MTC-STAGE Imaging | |
| Yu Liu1, Jun Chen Li1,2, Yongsheng Chen3, Naying He1, Zhijia Jin1, Weibo Chen4, Fuhua Yan1, and Ewart Mark Haacke1,5,6 | ||
1Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Radiology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China, 3Neurology, Wayne State University, Detroit, MI, United States, 4Philips Healthcare, Shanghai, China, 5Radiology, Wayne State University, Detroit, MI, United States, 6Biomedical Engineering, Wayne State University, Detroit, MI, United States |
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The locus coeruleus (LC) is mainly responsible for the synthesis of noradrenaline in the brain. Pathological alterations of the LC are involved in many neurodegenerative diseases. In this work, we use the tissue properties (spin density and T1 value) of the LC extracted from an MTC-STAGE (strategically acquired gradient echo) susceptibility weighted imaging protocol. Choosing the right flip angle and resolution can provide optimal visualization of the LC. We found that a short echo scan, with a flip angle of 25-30o and a resolution of 0.67 x 0.67 x 1.34mm3 provides the best visualization of the LC. |
| 1519 | Investigating Functional Connectivity of Substantia Nigra pars compacta in Parkinson’s Disease | |
| Apoorva Safai1, Shweta Prasad2,3, Jitender Saini4, Pramod Pal2, and Madhura Ingalhalikar5 | ||
1Symbiosis Center of Medical Image Analysis, Symbiosis International University, PUNE, India, 2Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India, 3Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences, Bangalore, India, 4Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India, 5Symbiosis Center of Medical Image Analysis, Symbiosis International University, Pune, India |
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Parkinson’s disease (PD) is characterized by loss of dopaminergic neurons in Substantia Nigra pars compacta (SNc). SNc to whole brain resting state functional connectivity (rsFC) was compared between healthy controls (HC) and patients with PD to study the functional network of SNc in PD, and its association with disease progression was evaluated using a neuromelanin sensitive MRI based probabilistic atlas of SNc. Putamen, cerebellum and insular cortex connectivity with SNc was significantly reduced in PD as compared to HC. Widespread frontal, occipital regions, SMA and cerebellum were associated with duration and severity of PD. |
| 1520 | Brain Perfusion in Parkinson’s Disease and Multiple System Atrophy using Arterial Spin Labelling MRI | |
| Roshni Kedia1, Archana Vadiraj Malagi1, Jitender Saini2, and Amit Mehndiratta3 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India, 3Indian Institute of Technology Delhi, New Delhi, India |
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Absolute perfusion varies in different brain regions for Parkinson’s disease (PD) and Multiple System Atrophy (MSA). These were studied quantitatively using ASL-MRI and the mean perfusion for each brain region was compared. Significant decrease in perfusion was noted for PD compared to healthy subjects for left and right caudate, anterior and posterior cingulate gyrus and occipital fusiform gyrus. For MSA, right caudate showed significant decrease in perfusion compared to healthy subjects. |
| 1521 | Quantifying Nigrosome-1 Loss in the Substantia Nigra on Susceptibility-Map Weighted Images in Essential Tremor and Parkinson’s Disease | |
| Septian Hartono1,2, Isabel Hui Min Chew3, Amanda Jieying Lee3, Joey Xin Yi Oh3, Leon Qi Rong Ooi4, Yao-Chia Shih3, Jongho Lee5, Zheyu Xu1,2, Eng King Tan1,2, and Ling Ling Chan2,3 | ||
1Department of Neurology, National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 4Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore, 5Department of Electrical & Computer Engineering, Seoul National University, Seoul, Korea, Republic of |
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Our study is the first to investigate the value of susceptibility map-weighted imaging in quantifying Nigrosome-1 loss in the substantia nigra to distinguish between tremor-dominant Parkinson’s disease (TDPD) and Essential Tremor (ET). Region-of-interest (ROI) masks of the Substantia Nigra and midbrain background were manually drawn on SMWI images of 50 subjects comprising 18 healthy controls, 25 ET and 7 TDPD patients. The SN in TDPD patients contained significantly more voxels more hypointense than the background than in ET patients. This could be explained by greater Nigrosome-1 loss and iron deposition in TDPD patients early in the disease. |
| 1522 | Evaluation of the Substantia Nigra and Locus Coeruleus by Neuromelanin-Sensitive MR Imaging with Deep Learning Based Noise Reduction | |
| Sonoko Oshima1, Yasutaka Fushimi1, Satoshi Nakajima1, Yusuke Yokota1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Yuichiro Sano2, Ryo Matsuda2, Masahito Nambu2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Kawai Miyake4, Tsuneo Saga4, and Kaori Togashi1 | ||
1Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Otawara, Japan, 3Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan |
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We assessed neuromelanin-sensitive MR images with number of excitations of 1 or 2 with and without deep learning reconstruction (DLR) denoising method about visualization of the substantia nigra (SN) and locus coeruleus (LC) in 19 patients. The results of visual assessment were better in images with DLR. Contrast ratios of SN did not change after application of DLR, whereas contrast ratios of LC were decreased and hyperintense SN areas became larger. Neuromelanin imaging with DLR has a potential to reduce scan time without spoiling image quality, but further studies are needed for interpreting the signal contrast of SN and LC. |
| 1523
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Fibre-specific white matter degeneration in the patients with Progressive supranuclear palsy | |
| Po-Yuan Chen1, Yi-Ming Wu2, Yi-Hsin Weng3, and Jiun-Jie Wang1 | ||
1Chang Gung University, Taoyuan, Taiwan, 2Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan, 3Chang Gung Memorial Hospital, Taoyuan, Taoyuan, Taiwan |
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Progressive supranuclear palsy (PSP) is an atypical Parkinsonism but with a faster progressive course. Previous studies indicated that PSP patients showed not only gray matter volume decrease but also white matter tract degeneration. We use fixel based analysis to examine the difference in the fibre bundle (FD), fibre-bundle cross-section (FC) and combination of fibre density and bundle cross-sectional area (FDC) between patients with PSP and healthy controls. The results show that significant degeneration of white matter in PSP patients. The major advantage to this study is providing a fixel-based comparison that indicate more directly interpretable measures of structural integrity. |
| 1524 | Multi-modality evaluation of Hyposmia in patients with Parkinson’s disease and atypical Parkinsonism | |
| A Ankeeta1, Shefali Chaudhary1, S Senthil Kumaran1, Priyanka Bhat2, and Vinay Goyal2 | ||
1NMR and MRI facility, All India Institute of Medical Sciences, New Delhi, India, 2Neurology, All India Institute of Medical Sciences, New Delhi, India |
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The pattern of Hyposmia hemodynamic response, functional connectivity and ERP response was investigated in patients with Parkinson's disease, Multiple System Atrophy (MSA) and Progressive Supranuclear Palsy (PSP). Results revealed the presence of significant olfactory loss correlated with differential pattern in the olfactory pathway including frontal region and temporal areas. MRI, BOLD and EEG, can be used to detect early biomarker(s) for the identification of Parkinson and atypical Parkinsonism patients on the basis of hyposmia. |
| 1525 | Free-water imaging in Substantia Nigra in Parkinson’s disease: A Neuromelanin Sensitive MRI Atlas Based Study | |
| Apurva Shah1, Jacob Antony Alapatt2, Shweta Prasad3, Jitender Saini4, Pramod Pal3, Ragini Verma2, and Madhura Ingalhalikar1 | ||
1Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India, 4Department of Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India |
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Parkinson’s disease is characterized by degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNc). To study the micro-structural and free-water (FW) changes using diffusion-MRI in the SNc it is critical to extract SNc accurately. Our work employs a neuromelanin sensitive MRI based atlas to delineate the SNc and demonstrates significant FW and FW eliminated microstructural alterations in a large cohort of PD (with and without psychosis) and its association with PD severity, indicative of novel diagnostic and progression markers of PD which however demonstrate no role in genesis of psychosis in PD. |
| 1526 | Investigation of subcortical brain structures in patients with Parkinson's disease using a quantitative susceptibility mapping atlas | |
| Boliang Yu1, Ling Li2, Xueling Liu2, Naying He3, Hongjiang Wei4, Chuantao Zuo2, Fuhua Yan3, and Yuyao Zhang1 | ||
1School of Information Science and Technology, ShanghaiTech University, Shanghai, China, 2PET Center, Huashan Hospital, Fudan University, Shanghai, China, 3Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 4Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China |
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A limited number of atlases have been constructed using quantitative susceptibility mapping (QSM) images from subjects with Parkinson’s disease (PD), and given disease-specific subcortical structures. In this work, we generated three standard-space templates i.e. the hybrid, QSM and T1w atlas, which kept good image quality to observe brain white, gray matter, and deep-brain nuclei. Based on the atlases, we achieved the manual annotation of a few brain subcortical structures, e.g. globus pallidus, substantia nigra, subthalamic nucleus and thalamus. The results gave the position and shape of subcortical nuclei which could be meaningful for the research and surgical treatment of PD. |
| 1527 | Visualization of Nigrosome-1 with Improved Contrast-to-noise Ratio and Correlation with Signals on Neuromelanin-sensitive MRI | |
| Tzu-Wei Lee1, Chao-Wei Tso1, Kuan Chen1, Cheng-Yu Chen2, and Hua-Shan Liu1 | ||
1School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei City, Taiwan, 2Department of Radiology, School of Medicine, Taipei Medical University, Taipei City, Taiwan |
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A comparative study of different techniques for delineation of the nigrosome-1 in substantia nigra (SN) is needed to define the most sensitive imaging biomarker for SN-related diseases. This study was conducted to assess the potential of multiecho susceptibility-weighted imaging (SWI) in the delineation of the nigrosome-1. We also evaluated the relationship between neuromelanin (NM) and relaxation times of SN. We found that multiecho SWI can improve the contrast-to-noise ratio (CNR). The older subjects exhibited increased CNR values. The correlation between NM-MRI and T2* value suggested that magnetization-transfer effect may be related to the presence of melanin-iron complex in the nigrosome-1. |
| 1528 | Can short echo time magnitude image of quantitative susceptibility mapping resembles neuromelanin-sensitive MRI image of the substantia nigra? | |
| Xueling Liu1, Liqin Yang1, Yuxin Li1, Daoying Geng1, Pu-Yeh Wu2, and Yong Zhang2 | ||
1Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, 2GE Healthcare China, Beijing, Shanghai, China |
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Loss of melanized dopaminergic neurons(1) and iron deposition(2) in substantia nigra (SN) were pathological hallmarks of Parkinson’s disease (PD). Susceptibility images from QSM could detect iron deposition(3, 4) while neuromelanin-sensitive MRI (NM-MRI) could reflect change of melanized dopaminergic neurons(5, 6) in SN. In this study, we found highly spatial similarity of SNhyperintense on Mag1 images from QSM and on NM-MRI images. PD-patients could be differentiated from old HCs on Mag1 images as similar as that on NM-MRI images. Combined with Mag1 and susceptibility images, QSM could provide a promising imaging biomarker for iron deposition and NM deficiency in PD simultaneously. |
| 1529 | Assessing the Diagnostic Power of Parkinson’s Disease Biomarkers: Nigrosome-1 Sign, Neuromelanin and Iron Quantification | |
| Zhijia Jin1, Zenghui Cheng1, Naying He1, Pei Huang2, Sean K. Sethi3,4, Mojtaba Jokar3, Weibo Chen5, Shengdi Chen2, Fuhua Yan1, and E. Mark Haacke1,3,4,6 | ||
1Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Magnetic Resonance Innovations, Inc., Bingham Farms, MI, United States, 4Department of Radiology, Wayne State University, Detroit, MI, United States, 5Philips Healthcare, Shanghai, China, 6Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States |
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Twenty-nine Parkinson’s disease (PD) patients and 29 age- and sex-matched healthy controls (HCs) were scanned using a single 3D gradient echo magnetization transfer sequence to evaluate neuromelanin volume, global and regional iron content, and the appearance of nigrosome-1 territory (the “N1 sign”) in the substantia nigra. Iron increase and neuromelanin volume reduction were found in PD patients compared to HCs. 21/29 and 4/29 of PD patients showed bilateral and unilateral loss of the N1 sign, respectively. Combining the N1 sign with neuromelanin volume, global iron content and regional iron content respectively improved diagnostic performance to differentiate PD patients from HCs. |
| 1530 | Prospective Longitudinal Diffusion Tensor Tractography Evidence of Nigrostriatal Degeneration in Early Parkinson’s Disease | |
| Arthur Yong1, Amanda Lee2, Septian Hartono2,3, Isabel Chew2, Samuel Ng3, Xinyi Choi3, Wilson Jia Wei Wong2, Linda Soo Lee Lim4, Eng King Tan1,3, Louis Tan1,3, and Ling Ling Chan1,2 | ||
1Duke-NUS Graduate Medical School, Singapore, Singapore, 2Singapore General Hospital, Singapore, Singapore, 3National Neuroscience Institute, Singapore, Singapore, 4National Heart Centre Singapore, Singapore, Singapore |
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Parkinson's disease (PD) is characterized by progressive dopaminergic neuronal loss in the substantia nigra (SN) and dopaminergic deafferentation in the striatal nuclei. Diffusion tensor tractography (DTT) has been used to document cross-sectional changes in the nigrostriatal pathway (NSP) in PD. Our prospective longitudinal study using DTT revealed significant interval NSP degeneration over a two-year period compared to controls, besides cross-sectional changes in the NSP congruent with current literature. Our results suggested that demyelination may be the dominant factor in NSP degeneration in PD. DTT may be a useful objective biomarker of disease progression in the early stages of PD. |
| 1531 | Patterns of regional cortical thinning in cognitively impaired patients with Parkinson’s disease | |
| Shefali Chaudhary1, S Senthil Kumaran1, Vinay Goyal2, GS Kaloiya3, M Kalaivani4, NR Jagannathan1, Rajesh Sagar5, Nalin Mehta6, and Achal Srivastava2 | ||
1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 3National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India, 4Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India, 5Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India, 6Department of Physiology, All India Institute of Medical Sciences, New Delhi, India |
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Cognitive impairment (CI) affects 20-40% Parkinson’s disease (PD) patients. Cortical thickness (CT), measuring the shortest distance between brain surface and inner edge of cortical gray matter may relate to CI in PD. In this study, we evaluated CT alteration in cognitively impaired PD patients (PD-CI) in comparison to cognitively normal (CN) healthy controls (HC) and PD patients (PD-CN) using 3DT1 MR data. Extended cortical thinning in frontal, temporal, parietal, occipital regions in PD-CI and significant positive association with global cognition MoCA score may signify cognition linked Lewy pathology and may be a promising tool to characterize cognition in PD. |
| 1532 | In-vivo characterization of the biochemical properties of the locus coeruleus and substantia nigra in healthy controls and Parkinson’s disease | |
| Catarina Rua1, Claire O'Callaghan2, Ron Ye3,4, Luca Passamonti3, P Simon Jones3, Guy B Williams1, James B Rowe3,4, and Christopher T Rodgers1 | ||
1Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 2Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, United Kingdom, 3Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom, 4Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom |
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In Parkinson’s disease, there is severe loss of dopaminergic projection neurons of the substantia nigra (SN) and locus coeruleus (LC). Histology shows that damage is non-uniform and occurs in stages; i.e. there is preferential degeneration of neurons first in the rostral portion of the SN and only later on in the LC. In this study, we measured the biochemical properties of the SN and LC with T2* and Magnetization Transfer imaging in patients with Parkinson’s disease and two groups of healthy controls. |
| 1533 | Identification of potential saliva bio-markers in early and advanced Parkinson’s disease using high resolution NMR | |
| Sadhana Kumari1, S.Senthil Kumaran1, Vinay Goyal2, Achal Srivastava2, SadaNand Dwivedi3, and N.R. Jagannathan1 | ||
1NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Neurology, All India Institute of Medical Sciences, New Delhi, India, 3Biostatistics, All India Institute of Medical Sciences, New Delhi, India |
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NMR-based metabolomics of saliva was studied in patients with Parkinson’s disease (PD) in early and advanced stages in comparison with that of healthy controls (HC). Higher levels of histidine, TMAO, propionate, GABA, valine, isoleucine, alanine, and fucose were observed in early PD in comparison with HC. Higher propionate and acetoin concentrations were observed in both early and advanced PD groups as compared to the HC group. An association of a few metabolites with the disease duration, LEDD and H&Y stage of PD patients was observed. Gut microflora system, ketone body and energy metabolisms may be impaired in patients with PD. |
| 1534 | A Preliminary attempt to Visualize Nigrosome 1 in the Subtantia Nigra for Parkinson’s Disease at 3T: An efficient SMWI imaging with QSMnet | |
| Minju Jo1 and Se-Hong Oh2,3 | ||
1Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea, 2Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea, 3Imaing Institute, Cleveland Clinic Foundation, Cleveland, OH, United States |
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We have described an efficient approach for SMWI visualizing SN and nigrosome 1 on clinical field strength (). QSMnet provides a similar SMWI image to that obtained with the conventional iterative QSM algorithm (such as iLSQR) but improves QSM processing speed by avoiding iterative computation. Since QSM reconstruction is the most time-consuming step of SMWI processing, QSMnet can help to achieve an improved SMWI processing speed. The application of QSMnet will be helpful when processing a massive amount of data or may contribute to the development of a scanner embedded real-time reconstruction of SWMI. |
| 1535 | White Matter Plasticity in Newly Diagnosed Parkinson’s Disease With/Without Mild Cognitive Impairment | |
| Christina Andica1, Koji Kamagata1, Yuya Saito1,2, Wataru Uchida1,2, Akifumi Hagiwara1, Shohei Fujita1,3, Syo Murata1, Masaaki Hori1,4, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Department of Radiology, Graduate School of Medicine, The University of Tokyo, Graduate School of Medicine, Tokyo, Japan, 4Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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We evaluated the white matter (WM) of patients with newly diagnosed Parkinson’s disease (PD) with normal cognition (PD-NC) and mild cognitive impairment (PD-MCI) using diffusion tensor imaging (DTI) and free-water elimination DTI. Increased fractional anisotropy and decreased mean diffusivity and radial diffusivity in patients with PD suggested compensatory neural circuit reorganization. Changes were less extensive in WM areas previously considered vulnerable to MCI in the PD-MCI group than in the PD-NC group. Longitudinal analyses indicated neural compensation in the PD-NC group after 1 year. Overall, extensive and long compensatory mechanisms may be associated with preserved cognitive function in PD. |
| 1536 | Comparison of interconnected basal ganglia probabilistic tractography between Parkinson's disease patients and controls | |
| Jae-Hyuk Shim1 and Hyeon-Man Baek1 | ||
1Gachon University, Incheon, Republic of Korea |
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Basal ganglia structures, globus pallidus internal, globus pallidus external, subthalamic nucleus, substantia nigra, red nucleus and striatum were automatically segmented on 7T diffusion weighted images of controls and Parkinson's disease patients. Connectivity between each basal ganglia structure was observed using probabilistic tractography generated with FSL's diffusion tools such as BEDPOSTX and PROBTRACKX. Basal ganglia tractography was compared between controls and Parkinson's disease patients to observe the possible changes that could occur in tractography due to Parkinson's disease. |
| 1537 | Investigation of the Global Volumetry and Relaxometry of the Brain in Parkinson's Disease using Synthetic MRI | |
| Na Lu1,2, Chunmei Li1, Shuhua Li3, Pu-Yeh Wu4, Wen Su3, Haibo Chen3, and Min Chen1,2 | ||
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3Department of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China, 4GE Healthcare, MR Research China, Beijing, China |
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This study revealed both the brain volumetric and relaxometric characteristics from synthetic MRI technique in Parkinson's disease (PD). Significantly differences were found in fraction of gray matter (GM), white matter (WM) and myelin. We also observed significantly differences in WM T1 value, GM and CSF proton density value. Hence Synthetic MRI might be a quantitative tool for clinical diagnosis of PD. |
| 1538 | Relationship between Free Water and Neuroinflammation/Neurodegeneration Markers in HIV Before and After Combination Antiretroviral Therapy | |
| Md Nasir Uddin1, Abrar Faiyaz2, Yuchuan Zhuang2, Madalina Tivarus3,4, Jianhui Zhong4,5, Maxime Descoteaux6, and Giovanni Schifitto4,7 | ||
1Department of Neurology, University of Rochester, Rochester, NY, United States, 2Electrical & Computer Engineering, University of Rochester, Rochester, NY, United States, 3Radiology, University of Rochester, Rochester, NY, United States, 4Imaging Sciences, University of Rochester, Rochester, NY, United States, 5Physics, University of Rochester, Rochester, NY, United States, 6Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada, 7Neurology, University of Rochester, Rochester, NY, United States |
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Free water (FW) index, a measure of extracellular non-flowing water in the brain parenchyma, can be sensitive to neuroinflammation. We examine the relationship between the FW index and putative markers of neuroinflammation in cART-naïve participants before and after 12 weeks of the treatment. We found that FW index correlated with neuroinflammation markers in HIV+ participants for some GM and WM structures at baseline while this correlation diminished after 12 weeks of cART treatment in some WM structures for NfL. |
| 1539 | Quantitative Assessment of Pathological Brain Changes in HIV using MP2RAGE | |
| Antonio Jimenez Gonzalez*1,2,3, Mário João Fartaria*1,2,3, Pietro Maggi4, Tobias Kober1,2,3, Jean-Philippe Thiran2,3, Karl Egger5, Renaud Du Pasquier4, François Lazeyras6, Frédéric Assal7, Alexandra Calmy8, Matthias Cavassini9, and Cristina Granziera10,11 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Departement of Neurology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5Department of Neuroradiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 6Department of Radiology and Medical Informatics, CIBM, Geneva University Hospital, Geneva, Switzerland, 7Cognitive Neurology Unit, Department of Neurology, University Hospitals of Geneva, Geneva, Switzerland, 8Division of Infectious Diseases, University Hospital Geneva, Geneva, Switzerland, 9Department of Infectious Diseases, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 10Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 11Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland |
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The clinical landscape of HIV has evolved from a fatal disease to a manageable condition, giving rise to secondary complications associated with the chronic infection still present under treatment. HIV penetrates the brain very early after infection. Here, we investigated the mechanism behind structural brain changes observed in 92 aviremic HIV patients compared to 125 seronegative controls using quantitative MRI. Changes in cortical and subcortical structures and T1 relaxation times were observed. We thus speculate that the differential pattern in HIV patients reflects biological mechanisms underlying different stages of brain infection, namely acute inflammation and neuronal loss. |
| 1540 | Cerebral Blood Flow and Cerebrovascular Reactivity in Acute and Chronic HIV-Infection Treated by Combination Antiretroviral Therapies | |
| Kyle Murray1, Md. Nasir Uddin2, Madalina Tivarus3, Arun Venkataraman1, Yuchuan Zhuang4, Xing Qiu5, Lu Wang5, Meera Singh6, Jianhui Zhong1,3, Sanjay Maggirwar7, and Giovanni Schifitto2,3 | ||
1Physics and Astronomy, University of Rochester, Webster, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States, 4Electrical and Computer Engineering, University of Rochester, Rochester, NY, United States, 5Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States, 6Microbiology and Immunology, University of Rochester, Rochester, NY, United States, 7Microbiology, Immunology and Tropical Medicine, The George Washington University, Washington DC, DC, United States |
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Combination antiretroviral therapy (cART) maintains virologic control in HIV patients, but may lead to neurotoxicity. By using neuroimaging and cellular microparticle quantification, we explore the effects cART may have in both acute and chronic HIV-infection. We find that cART treatment does reduce microparticle levels associated with neuroinflammation to those of controls. Further, microparticle levels and neuroimaging results strengthen assumptions about immune dysfunction in HIV infection. We demonstrate that cerebral blood flow and cerebrovascular reactivity can be used in conjunction with quantitative microparticle levels to study the effects of neuroinflammation and cART treatment in both acute and chronic HIV infection. |
| 1541
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Temporal progression patterns of brain atrophy in CBS and PSP determined using Subtype and Stage Inference | |
| Yuya Saito1,2, Koji Kamagata2, Christina Andica2, Wataru Uchida1,2, Syo Murata2, Akifumi Hagiwara2, Toshiaki Akashi2, Akihiko Wada2, Masaaki Hori3, and Shigeki Aoki2 | ||
1Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 2Department of Radiology, Graduate School of Medicine, Juntendo University, Tokyo, Japan, 3Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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Corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP) are two classic clinical syndromes derived from 4 microtubule-binding domain-repeat tau pathology. However, their clinical diagnosis remains challenging due overlaps in their motor symptoms. While majority of previous studies have assessed brain volumes using cross-sectional data, the present study utilizes Subtype and Stage Inference (SuStaIn) for brain volumes based on cross-sectional brain structural magnetic resonance imaging to identify the differences in temporal brain atrophy progression patterns between CBS and PSP. Our results suggested the utility of SuStaIn for estimating brain atrophy progression patterns in and discriminating between patients with CBS and PSP. |
| 1542 | Different iron deposition patterns in hemodialysis patients with and without restless legs syndrome on MRI-QSM | |
| Hao Wang1, Zhenchang Wang1, and Zhili on Xie2 | ||
1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 2GE Healthecare, MR Research China, Beijing, Beijing, China, Beijing, China |
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Based on gradient echo (GRE) magnetic resonance phase data, quantitative susceptibility mapping (QSM) is a novel technology which allows the noninvasive assessment of magnetic tissue susceptibility distribution in hemodialysis (HD) patients. And iron deficiency in gray matter nuclei has been reported to lead to idiopathic restless legs syndrome (RLS) symptoms. In this study, we investigated the differences of iron deposition patterns between HD-RLS and HD-nRLS patients scanned at 3T. Compared with HD-nRLS patients, HD-RLS patients demonstrated reduced susceptibility in caudate nucleus and puteman. Hence, QSM can be used for HD-RLS diagnosis and intervention. |
| 1543 | Nucleus Accumbens Deep Brain Stimulation Ameliorated Cognitive Impairment in Metabolic Syndrome Animal Model | |
| Ting-Chieh Chen1, Yu-Chun Lo2, Szu-Yi Chou2, Ssu-Ju Li1, Ting-Chun Lin1, Ching-Wen Chang1, Yin-Chieh Liu1, Hsin-Tzu Lu1, and You-Yin Chen1,2 | ||
1Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan, 2Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei, Taiwan |
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Cognitive dysfunctions were demonstrated to be associated with the metabolic syndrome (MetS), which could be treated with deep brain stimulation (DBS) of nucleus accumbens (NAc) by altering brain circuitss and facilitating synapse plasticity. However, NAc-DBS for memory-related cognitive function has yet to be investigated. Diffusion MRI, resting-state functional MRI, and behavioral test were applied in this study. We found restoration of the microstructure, increased functional connectivity, and an improvement in cognitive behaviors after NAc-DBS in the MetS models, C-C motif ligand 5/Regulated-on-Activation-Normal-T-cell-Expressed-and-Secreted knockout mice. |
| 1544 | Investigation of amide proton transfer imaging in Multiple system atrophy at 3.0 Tesla | |
| Na Lu1,2, Shuhua Li3, Chunmei Li1, Pu-Yeh Wu4, Wen Su3, Haibo Chen3, Piu Chan3, and Min Chen1,2 | ||
1Department of Radiology, Beijing Hospital, National Center of Gerontology, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3Department of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China, 4GE Healthcare, MR Research China, Beijing, China |
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Multiple system atrophy (MSA) is in great need of diagnosis in its early stage. Our study aims to evaluate the feasibility of using amide proton transfer (APT) imaging in detection of multiple system atrophy (MSA) at 3.0 Tesla. We found that APT MTRasym values were significantly higher in MSA patients than in normal controls at red nucleus, substantia nigra, thalamus and putamen. We also found that APT MTRasym values were significantly higher in probable MSA than in possible MSA patients at red nucleus, caudate and putamen. Hence, CEST may be valuable in diagnosing and predicting the progression of MSA. |
| 1545 | A pilot study of MR–guided focused ultrasound thalamotomy for refractory essential tremor | |
| jianfeng he1, yongqin xiong1, rui zong1, dekang zhang1, xin zhou2, longsheng pan1, and xin lou1 | ||
1Chinese PLA General Hospital, Beijing, China, 2Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China |
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Essential tremor is the most common movement disorder and is often refractory to medical treatment, Deep brain stimulation in the thalamus has proved the efficiency for these patients. However, this treatment has risks associated with an open neurosurgical procedure. MR-guided focused ultrasound has been developed as a non-invasive means of generating precisely placed focal lesions. We examined its application to the management of refractory essential tremor. Satisfactory results were found that the mean reduction in tremor score of the treated hand was 86.7% at 1 month and 72.5% at 3 months, what’s more,no adverse events lasted beyond 3 months. |
| 1546 | Exploration of mannitol-treated dehydration in acute stroke using diffusion kurtosis imaging with free water elimination | |
| Chia-Wen Chiang1, Ezequiel Farrher2, Kuan-Hung Cho1, Shih-Yen Lin1,3, Kuo-Jen Wu4, Yun Wang4, Teh-Chen Wang5, Yi-Ping Chao6, Yeun-Chung Chang7, Chang-Hoon Choi2, and Li-Wei Kuo1,8 | ||
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 2Institute of Neuroscience and Medicine – 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany, 3Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, 4Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan, 5Department of Medical Imaging, Taipei City Hospital, Taipei, Taiwan, 6Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, 7Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, 8Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan |
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Brain swelling typically occurs in acute stroke.1 Mannitol, as a hyperosmolar agent, enables to effectively treat the increased intraocular pressure and cerebral edema in brain injury.2,3 Diffusion kurtosis imaging with free water elimination (DKI-FWE)4 has been recently reported the ability to assess diffusion indices by separating free water compartment in simulations and healthy volunteers. The purpose of the study was to examine the effect of mannitol infusion using a stroke rat model at acute and chronic stages assessed by DKI-FWE and DKI. Our preliminary results revealed that mean kurtosis (MK) was sensitive to reflect mannitol-treated dehydration in acute stroke rat. |
| 1547 | Structural and resting state network alterations in Spinocerebellar Ataxia Type 2 in comparison with healthy controls | |
| Pankaj Pankaj1, S Senthil Kumaran1, Snigdha Agrawal2, Achal Kumar Srivastava3, and Ramesh Kumar Agrawal2 | ||
1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, India, 3Department of Neurology, All India Institute of Medical Sciences, New Delhi, India |
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Spinocerebellar ataxia type 2 (SCA2) is a progressive disorder with an early onset (10-15 years). On resting state functional connectivity and volume morphometrics, we observed reduced midbrain, sensory-motor and prefrontal cortex functional connectivity with cerebellum and atrophy in inferior parietal lobule, middle occipital gyrus, fusiform gyrus, posterior cingulate, precentral gyrus, parahippocampal gyrus, superior temporal gyrus, postcentral gyrus, fusiform gyrus, middle frontal gyrus, middle temporal gyrus, inferior frontal gyrus, middle temporal gyrus, pyramis, uvula, culmen, inferior semi-lunar lobule in SCA2, with respect to healthy controls. Atrophy and alterations in the rsfMRI connectivity suggest deficits in motor and cognition in SCA2 patients. |
| 1548 | Grey matter volume alterations in trigeminal neuralgia: A systematic review and meta-analysis of voxel-based morphometry studies | |
| Yu Tang1, Maohua Wang2, Ting Zheng1, Fengying Yuan1, Fugang Han1, and Guangxiang Chen1 | ||
1Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China, 2Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China |
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In recent decades, a growing number of structural neuroimaging studies of grey matter (GM) in trigeminal neuralgia (TN) have reported inconsistent alterations. We carried out a systematic review and meta-analysis to identify consistent and replicable GM volume abnormalities in TN patients. Our findings provide a thorough profile of GM volume alterations in TN patients and constitute robust evidence that aberrant GM volumes in the brain regions regulating and moderating sensory-motor and affective processing may play an important role in the pathophysiology of TN. |
| 1549 | Brain Iron Deposition and Cognitive Impairment in Idiopathic RBD: A Quantitative Susceptibility Mapping Study | |
| Chao Chai1, Huiying Wang1, Tong Zhang2, Jinxia Zhu3, Xianchang Zhang3, E Mark Haacke4, Shuang Xia1, and Wen Shen1 | ||
1Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, Tianjin, China, 2School of Graduates, Tianjin Medical Univeristy, Tianjin, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Department of Radiology, Wayne State University, Detroit, MI, United States |
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Iron metabolism is a research focus in α‑synucleinopathies. Excessive iron deposition may damage neurons and induce cognitive impairment. However, research on brain iron deposition in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) is lacking. Using quantitative susceptibility mapping (QSM), the present study showed that iRBD patients have greater brain iron deposition in the substantia nigra and dentate nucleus than healthy controls (HCs). Additionally, brain iron deposition in the striatum and cerebellum was associated with cognitive impairment, suggesting the potential of QSM as an auxiliary biomarker for neurodegeneration and the early evaluation of cognitive decline in iRBD patients. |
| 1550 | Revealing reduced CBF and prolonged ATT in prodromal AD using a 3D pCASL with Hadamard encoded multiple PLDs | |
| Yang Wang1, Alexander Cohen1, Guanyu Chen2, Veena Nair3, Piero Antuono4, Malgorzata Franczak4, Vivek Prabhakaran3, Barbara Bendlin5, Shi-Jiang Li2, and the Alzheimer’s Disease Connectome Project6 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 4Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 5Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 6Medical College of Wisconsin, Milwaukee, WI, United States |
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Measured using an advanced 3D pCASL with Hadamard encoded multiple PLDs, patients with MCI showed different patterns of reduced CBF and prolonged ATT in comparison with both AD patients and healthy controls, where CBF and ATT changes highly correlated with severity of disease as assessed by neuropsychological test scores. These findings raised the speculation of underlying vascular abnormality in prodromal AD. Our results also suggested that ATT could serve as useful hemodynamic measure of itself, may be of diagnostic utility for prodromal AD or vascular dementia. |
| 1551 | Increases in Arteriolar Cerebral Blood Volume in Huntington’s Disease Measured with Inflow-based Vascular-space-occupancy (iVASO) MRI at 7T | |
| Chunming Gu1,2,3, Martin Kronenbuerger4,5, Di Cao1,2,3, Adrian G. Paez1,2, Xinyuan Miao1,2, Xirui Hou1,3, Jee Bang5,6, Kia E. Ultz5, Wenzhen Duan6,7, Russell L. Margolis5,6, Peter C. M. van Zijl1,2, Christopher A. Ross5,6,7,8, and Jun Hua1,2 | ||
1The Russell H. Morgan Department of Radiology and Radiological Sciences, 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, 3Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Department of Neurology, University of Greifswald, Greifswald, Germany, 5Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 7The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 8Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Significantly elevated arteriolar cerebral blood volume (CBVa) in premanifest Huntington’s Disease (HD) patients has been reported previously. In this study, inflow-based vascular-space-occupancy (iVASO) MRI at 7 Tesla was used to measure CBVa in HD patients longitudinally. We found significant longitudinal increases in CBVa in premanifest HD patients in several brain regions primarily related to motor, visual and cognitive functions, which suggests CBVa as a potential candidate biomarker for HD especially in the premanifest stage. |
| 1552 | Strain-specific disease progression patterns of sporadic Creutzfeldt-Jakob disease revealed by Subtype and Stage Inference model | |
| Riccardo Pascuzzo1, Alexandra L. Young2,3, Neil P. Oxtoby2, Janis Blevins4, Gianmarco Castelli1, Pierluigi Gambetti5, Brian S. Appleby4, Daniel C. Alexander2, and Alberto Bizzi1 | ||
1Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King′s College London, London, United Kingdom, 4National Prion Disease Pathology Surveillance Center, Case Western Reserve University, School of Medicine, Cleveland, OH, United States, 5Department of Pathology, Case Western Reserve University, School of Medicine, Cleveland, OH, United States |
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Transmission studies in animal models have identified four strains of sporadic Creutzfeldt-Jakob disease (sCJD). Using a data-driven approach, we aim to identify subgroups of sCJD patients with distinct diffusion-weighted MRI (DWI) abnormality patterns, and test their association with disease strains. We used an unsupervised machine-learning algorithm named Subtype and Stage Inference, that identified 5 clusters of patients each having a distinct pattern of DWI abnormality progression: one had initial involvement of the parieto-frontal cortex; two started with subcortical regions (striatum, thalamus and cerebellum); and two had cortical and limbic regions affected early. Data-driven subgroups were significantly associated with sCJD strains. |
| 1553 | Brain Iron Imaging Markers in the Presence of White Matter Hyperintensities | |
| Kyle Murray1, Md. Nasir Uddin2, Jianhui Zhong3, and Giovanni Schifitto2 | ||
1Physics and Astronomy, University of Rochester, Webster, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States |
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HIV-infected individuals are at increased risk of developing white matter hyperintensities (WMHs), which can lead to increased iron deposition in deep gray matter structures. In this abstract, we evaluate three region of interest (ROI) brain iron metrics and introduce a novel population-based whole-brain iron metric, the expected iron coefficient (EIC), derived from quantitative susceptibility mapping (QSM) in the context of HIV and mild WMH burden. While the ROI metrics did not show any significant differences between cohorts, the EIC was able to detect iron related differences in a cohort with WMH burden, due to increased statistical power. |
| 1554 | Diffusion kurtosis imaging for characterizing the microstructural changes of hippocampus in mild cognitive impairment patients with cerebral small vascular disease. | |
| Liu Dongtao1, Li Kun2, Bu Qiao2, Pan Zhenyu2, Feng Xiang3, Shi Qinglei3, and Zhou Lichun1 | ||
1Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 3MR Scientific Marketing, Diagnosis Imaging, Siemens Healthcare Ltd, Beijing, China |
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We investigated the early microstructural alterations in hippocampus in MCI patients with cSVD by DKI. Our study found that MCI patients with cSVD show more seriously white matter hyperintensity, and showed significantly increased MD and RD values, and decreased MK, AK, RK, FA and KFA values in left hippocampus. In left hippocampus, values of FA, MK, RK, and KFA showed significantly positive correlations with MoCA score, while MD and RD values were negatively correlated with MoCA score. This may be due to the loss of neuron cell bodies, synapses and dendrites. DKI technique may be feasible to probe the microstructural changes of hippocampus in MCI patients with cSVD. |
| 1555 | Synthetic MRI reveals leukoaraiosis is associated with cerebral small vessel diseases rather than cerebral atherosclerosis | |
| jingdong Yang1, Juan Huang1, Yan Song1, and Pu Yeh Wu2 | ||
1Radiology, Beijing Hospital, Beijing, China, 2GE Healthcare, Beijing, China |
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We explored the feasibility of applying Synthetic MRI to quantify leukoaraiosis and further investigated the association of leukoaraiosis with small vascular cerebral diseases and large vessel atherosclerosis in individuals with acute cerebral vascular symptom. The results show that LA could be evaluated by the volume and relaxation time from synthetic MRI and it was associated with lacune and cerebral microbleeds rather than large cerebral atherosclerosis. This finding suggests that quantitative information provided by Synthetic MRI can help to evaluate leukoaraiosis, and leukoaraiosis may be a type of cerebral small vascular diseases instead of intracranial or extracranial cerebral atherosclerosis. |
| 1556 | Physiological correlates of brain pulsatility in cerebrovascular small vessel disease using data-driven high temporal resolution fMRI | |
| Paula L Croal1,2, Kevin J Ray1, Karolina Wartolowska3, Amy Lawson3, Alastair Webb3, and Peter Jezzard1 | ||
1Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom, 2Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 3Centre for the Prevention of Stroke and Dementia, University of Oxford, Oxford, United Kingdom |
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Small vessel disease (SVD) is associated with stroke and dementia, however pathophysiological mechanisms are poorly understood, and effective treatments are lacking. Here, we determine the association between systemic arterial pulsatility and tissue-level cerebral pulsatility in patients with SVD, and its modulation by anti-hypertensive medication, using a novel analysis technique. We observe a significant association between systemic pulsatility and regional cerebral pulsatility, at baseline and on antihypertensive medication. The association was strongest in periventricular white matter most commonly affected by SVD. This regional dependence suggests that pulsatility is a pathophysiological factor underlying tissue damage in SVD, providing a potential treatment target. |
| 1557 | Neuro-inflammation is associated with WMH burden at baseline and predicts longitudinal cognitive decline in cerebral small vessel disease | |
| Chunwei Ying1, Andria L. Ford2, Michael M. Binkley2, Yasheng Chen2, Peter Kang2, Jon Christensen1, Qing Wang1, Lisa Cash1, Jason Hassenstab2, Jin-Moo Lee1,2, Tammie L. S. Benzinger1,3, and Hongyu An1 | ||
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States, 3Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, United States |
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Neuro-inflammation has been suggested as an important pathogenesis factor for cerebral small vessel disease, but direct evidence in human is lacking. In this study, we found that neuro-inflammation, measured by 11C-PK11195 uptake, was associated with white matter hyperintensities burden at baseline. More importantly, it predicted cognitive decline in a longitudinal follow-up study. |
| 1558 | Increased Cerebral Blood flow was Correlated with Neurocognitive Dysfunction in Chronic Hemodialysis Patients: A Arterial Spin Labeling Study | |
| Chao Chai1, Huiying Wang1, Tong Zhang2, Jinping Li3, Yingying Han3, Jinxia Zhu4, Xianchang Zhang4, Shuang Xia1, and Wen Shen1 | ||
1Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, Tianjin, China, 2School of Graduates, Tianjin Medical Univeristy, Tianjin, China, 3Department of Hemodialysis, Tianjin First Central Hospital, Tianjin, China, 4MR Collaboration, Siemens Healthcare Ltd., Beijing, China |
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Cerebral blood flow (CBF) can be significantly reduced during a single hemodialysis session. However, few studies have investigated the effect of long-term hemodialysis on CBF and its correlation with neuropsychological tests. This study used pulsed arterial spin labeling to show that hemodialysis patients had significantly increased CBF in some cerebral regions. Increased CBF of the right opercular and triangular part of inferior frontal gyrus was negatively correlated with Mini Mental State Examination (MMSE) scores, and after adjusting for hemoglobin and hematocrit levels, these correlations became stronger. Dialysis duration, hemoglobin, hematocrit, and serum phosphorus were clinical risk factors for increased CBF. |
| 1559 | Higher levels of myelination were observed in chronic fatigue syndrome patients relative to healthy controls | |
| KIRAN THAPALIYA1,2, Sonya Marshall-Gradisnik1, Don Staines1, Sandeep Bhuta3, Timothy Ireland3, and Leighton Barnden1 | ||
1Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia, 2Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 3Gold Coast University Hospital, Gold coast, Australia |
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Myalgic Encephalomyelitis (ME)/Chronic fatigue syndrome (CFS) patients suffer from a variety of physical and neurological complaints indicating the central nervous system plays a role in CFS pathophysiology. Studies based on genetic, immune system, psychiatric, and brain volume abnormalities and white matter hyperintensities have been investigated to identify the pathomechanism of this disease. However, assessment of myelination in brain regions between ME/CFS patients and healthy controls has not been investigated. In this study, we showed elevated myelination in white matter regions and grey matter regions in ME/CFS patients relative to normal controls. |
| 1560 | Delayed cerebrovascular response within deep white matter may alter the cortical-subcortical connections in small vessel disease patients | |
| Yi-Tien Li1,2, Yi-Wen Chen1, and David Yen-Ting Chen1,3 | ||
1Department of Radiology, Taipei Medical University - Shuang Ho Hospital, New Taipei, Taiwan, 2Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, 3Department of Radiology, Stanford University, Palo Alto, CA, United States |
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We applied cross-correlation method on breath-holding task to estimate the cerebrovascular response (CVR) strength and latency within deep white matter. The CVR latency showed significant negative correlation with working memory (WM) 1-back accuracy (r = -0.546, p = 0.009). Further, the significant negative correlation between the average CVR latency within deep white matter and the functional connectivity in specific regions of WM activation area, including left anterior insular cortex and bilateral putamen was found. The result suggested that the changes of cortical-subcortical connections in cerebral small vessel disease can be reflected by the delayed CVR latency within deep white matter. |
| 1561 | Diffusion Kurtosis Imaging Detects Subclinical White Matter Abnormalities in Phenylketonuria | |
| Thomas Welton1, Sarah C Hellewell1, Michel Tchan2, and Stuart M Grieve1 | ||
1University of Sydney, Sydney, Australia, 2Department of Genetic Medicine, Westmead Hospital, Sydney, Australia |
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Diffusion kurtosis MRI (DKI) was used to measure changes in white matter structure in 20 patients with phenylketonuria and 43 controls. We found significant differences primarily in the periventricular parietal white matter in various DKI metrics. These scores were related to phenylalanine levels measured in the 3 years prior to MRI and with Scheltens score, reflecting white matter hyperintensities. DKI may be sensitive to pathology invisible to clinical MRI, and we propose a simple metric in the parietal lobe which robustly captures this effect. |
| 1562 | Detecting brain structural abnormality associated with breast cancer and chemotherapy using GQI | |
| Wei Chuang1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai4, and Jun-Cheng Weng1,3,5 | ||
1Department of Medical Imaging and Radiological Sciences, 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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Breast neoplasms are the most common cancer among women. Whether received adjuvant chemotherapy or not, lots of them presented cognitive impairment which decreased their quality of life. Therefore, we attempted to use generalized q-sampling imaging (GQI) to detect the white matter alteration between groups that may due to post-traumatic stress disorder (PTSD), post-traumatic growth (PTG) and chemotherapy. Our results showed the differences in the brain regions associated with cognition, emotion, and execution, such as angular gyrus, cingulate gyrus and so on. It indicted traumatic stressor or chemotoxicity can cause myelin injuries in these regions. |
| 1563 | Comparison of brain atrophy in patients with type 2 diabetes from the Diabetes and Dementia (D2) study and stroke patients from the CANVAS study | |
| Mohamed Salah Khlif1, Carolina Restrepo1, Emilio Werden1, Laura Bird1, Sheila K. Patel1,2, Rebecca Singleton1, Jeffrey D. Zajac2,3, Richard MacIsaac4, Elif I. Ekinci2,3, Louise M. Burrell2,5, and Amy Brodtmann1,2,6 | ||
1The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia, 2Department of Medicine, University of Melbourne, Austin Health, Heidelberg, Australia, 3Austin Health Endocrine Centre, Heidelberg, Australia, 4Department of Endocrinology & Diabetes, St Vincent's Hospital, Melbourne, Australia, 5Department of Cardiology, Austin Health, Heidelberg, Australia, 6Department of Neurology, Austin Health, Heidelberg, Australia |
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Type 2 diabetes and stroke are associated with reduced brain volumes and independently present a high risk for cognitive impairment or dementia. The interaction between diabetes and stroke and its effects on brain atrophy are unknown. We used linear mixed-effect modelling to estimate rates of atrophy over two years based on FreeSurfer segmentation of MR images of healthy participants and patients with type 2 diabetes and/or stroke. Cerebral atrophy, defined by volume reductions in specific regions of interest, was accelerated the most in the group with only type 2 diabetes. Thalamus was affected more by stroke. |
| 1564 | Proximal Nerve Quantitative MRI in Charcot-Marie-Tooth (CMT) Diseases | |
| Yongsheng Chen1, E. Mark Haacke2, Yang Xuan2, Melody Hackett1, Sadaf Saba3, Bo Hu1, Daniel Moiseev1, and Jun Li1,3,4,5 | ||
1Department of Neurology, Wayne State University, Detroit, MI, United States, 2Department of Radiology, Wayne State University, Detroit, MI, United States, 3Center for Molecular Medicine & Genetics, Wayne State University, Detroit, MI, United States, 4Department of Biochemistry, Microbiology and Immunology, Wayne State University, Detroit, MI, United States, 5John D. Dingell VA Medical Center, Detroit, MI, United States |
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To test the hypothesis that quantitative MRI (qMRI) detects proximal nerve dysmyelination and axonal degeneration in Charcot-Marie-Tooth (CMT) diseases. Nine qMRI indices were collected, including whole muscle mean fat fraction (wmmFF), nerve fascicular cross-sectional area (fCSA), magnetization transfer ratio (MTR), T1, proton density (PD), R2, R2*, mean diffusivity (MD) and fractional anisotropy (FA). Compared to controls, patients with CMT had significantly elevated fCSA, T1, PD, T2* and MD for both divisions of sciatic nerves and wmmFF, elevated T2 for the tibial division but not the peroneal division, and decreased MTR for both divisions of sciatic nerves. |
| 1565 | STRUCTURAL PLASTICITY IN THE BRAIN OF CMT1A PATIENTS? A COMBINED VBM AND TBSS STUDY | |
| Sirio Cocozza1, Giuseppe Pontillo1, Raffaele Dubbioso1, Stefano Tozza1, Daniele Severi1, Lucio Santoro1, Andrea Elefante1, Fiore Manganelli1, Arturo Brunetti1, and Mario Quarantelli2 | ||
1University "Federico II", Naples, Italy, 2National Research Council, Naples, Italy |
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We investigated the presence of gray matter (GM) and white matter (GM) structural modifications in a homogeneous group of genetically defined CMT1A patients, by means of VBM and TBSS analyses, respectively. We found increased GM volume in CMT1A patients compared to HC encompassing the right paravermian portions of the cerebellar lobules III, IV and V, showing an inverse correlation with electrophysiological measures. These structural changes may reflect compensatory mechanisms in response to CMT1A peripheral nerve pathology, providing new insights into the comprehension of CNS physiopathology and its role in the development of clinical disability in this condition. |
| 1566 | Drumming training induces myelin remodelling in Huntington’s disease: a diffusion MRI and quantitative magnetization transfer study | |
| Chiara Casella1, Jose Bourbon-Teles1, Derek K Jones1, Greg Daniel Parker1, Sonya Bells2, Anne Rosser3, Elizabeth Coulthard4, and Claudia Metzler-Baddeley1 | ||
1Department of Psychology, Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 2Department of Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada, 3Department of Biosciences, Cardiff University, Cardiff, United Kingdom, 4Department of Clinical Neurosciences, University of Bristol, Bristol, United Kingdom |
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Huntington’s disease is a neurodegenerative disorder leading to debilitating cognitive and motor symptoms. It has been proposed that impaired myelination contributes to HD pathogenesis. As well, evidence shows that myelin formation underlies the learning of new motor skills. Here we demonstrate that two months of drumming and rhythm exercises result in an increase in a proxy MRI measure of myelin in patients with early HD relative to healthy controls. This suggests that tailored behavioural stimulation has the potential to result in neural benefits in early HD that could be exploited for future therapeutics aiming to delay disease progression. |
| 1567 | Identification of amyotrophic lateral sclerosis based on diffusion tensor imaging and support vector machine | |
| Nao-Xin Huang1, Tian-Xiu Zou1, Zhongshuai Zhang2, and Hua-Jun Chen1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2SIEMENS Healthcare, Shanghai, China |
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White matter (WM) impairments have been well documented in amyotrophic lateral sclerosis (ALS). This study tested the potential of diffusion measurements in WM for identifying ALS based on the support vector machine (SVM). In the optimized SVM model, the FA values from the motor areas (including the bilateral precentral gyrus and the corticospinal tract) and extra-motor areas (including right postcentral gyrus, left superior/inferior longitudinal fasciculus) contributed mostly to classification. Our study suggests the feasibility of ALS diagnosis based on SVM analysis and diffusion measurements of WM. Future study with larger cohort is needed to validate the generality of our results. |
| 1568 | A population-specific framework for the morphological analysis of Motor Neuron Disease using ultra-high field MRI | |
| Thomas B Shaw1, Saskia Bollmann1, Frederik Steyn1, Christine Guo2, Amir Fazlollahi3, Jurgen Fripp3, Olivier Salvado3,4, Steffen Bollmann1, and Markus Barth1 | ||
1The University of Queensland, Brisbane, Australia, 2QIMR Berghofer Medical Research Intstitute, Brisbane, Australia, 3CSIRO Health and Biosecurity, Brisbane, Australia, 4CSIRO Data61, Sydney, Australia |
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Imaging biomarkers for Motor Neuron Disease (MND) using MRI presents challenges due to neurodegeneration leading to heterogeneous brain morphology, low SNR, and movement artefacts. Here, we present optimised methods for imaging and processing MND patient data using UHF MRI with submillimetre resolution, and compare hippocampal subfields between patients and healthy controls. We used automatic measures to examine the shape, volume, and morphology of hippocampal subfields and showed specific changes in MND patients that are more sensitive than previous research. This work may serve as a framework for more sensitive computational models for biological characterisation of MND in vivo. |
| 1569 | Serial assessment of magnetic susceptibility in the primary motor cortex in limb-onset Amyotrophic Lateral Sclerosis | |
| Anjan Bhattarai1,2, Zhaolin Chen2, Phillip G. D. Ward2, Paul Talman3, Susan Mathers4, Thanh Phan5, Caron Chapman4, James Howe4, Sarah Lee4, Yennie Lie4, Gary F Egan2, and Phyllis Chua1,4 | ||
1Department of Psychiatry, Monash University, Clayton, Australia, 2Monash Biomedical Imaging, Monash University, Clayton, Australia, 3Department of Neuroscience, Barwon Health, Geelong, Australia, 4Statewide Progressive Neurological Services, Calvary Health Care Bethlehem, South Caulfield, Australia, 5Department of Neuroscience, Monash Health, Clayton, Australia |
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We performed in-vivo measurements of the magnetic susceptibility in the motor cortex in individuals with Amyotrophic Lateral Sclerosis (ALS) at baseline and six-month follow-up, and healthy controls at baseline using Quantitative Susceptibility Mapping (QSM). The results show significant susceptibility difference between individuals with ALS compared to healthy controls. There was a trend towards more pronounced susceptibility changes in lumbar onset compared to healthy controls than cervical onset ALS compared to healthy controls. These findings may lead to the development of a sensitive neuroimaging biomarker that can provide meaningful insights into pathophysiologic changes in ALS subtypes. |
| 1570 | Disrupted grey matter network morphology in amyotrophic lateral sclerosis | |
| Jing Yang1, Du Lei1,2, Xueling Suo1, and Qiyong Gong1,3 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2University of Cincinnati, Cincinnati, OH, United States, 3Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), Chengdu, China |
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The present psychoradiological study demonstrated significant alterations both in global and nodal topological properties of single-subject brain morphological networks in a relatively large population of patients with ALS relative to HCs. This was achieved by combining graph theoretical analysis with a method of describing patterns of intercortical morphological similarities in individual participants using structural MRI data. We found that ALS showed a weaker small world organized brain network in global properties and decreased nodal centralities mainly in prefrontal-limbic network relative to HCs. Further, the nodal efficiency of right inferior frontal gyrus was positively correlated to ALSFRS in ALS group. |
| 1571 | Spatial Distribution Patterns of Secondary White Matter Tract Degeneration in Amyotrophic Lateral Sclerosis | |
| Hagen H Kitzler1, Paul Kuntke1, Carolin Schwamborn1, Hannes Wahl1, Rene Guenther2, Andreas Herrmann3, Sean C Deoni4, and Jennifer Linn1 | ||
1Neuroradiology, Technische Universität Dresden, Dresden, Germany, 2Neurology, Technische Universität Dresden, Dresden, Germany, 3Neurology, Universitätsmedizin Rostock, Rostock, Germany, 4Alpert Medical School, Brown University, Providence, RI, United States |
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Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease of primary cortical neuronal pathology and central nervous system multisystem involvement including related white matter. Based on previous findings of early myelination changes we aimed to investigate the spatial distribution of changes of markers of axonal (diffusion) and myelin (relaxation) integrity of the related motor corticospinal tract (CST). We found different pattern with minor, predominantly diffusion or predominantly relaxation, and extensive ubiquitary alteration. However, heterogeneous distribution of changes suggest a non-uniform secondary CST degeneration and limited prognostic value of ALS disease course. |
| 1572 | R2-based brain iron measurements in patients with iron overload – a retrospective analysis of selected brain regions | |
| Rosalie Victoria McDonough1, Roland Fischer2,3, Regine Grosse4, Thomas Lindner1, Roberta Ward5, Zhiyue Jerry Wang6, Marcela Weyhmiller3, Jens Fiehler1, and Jin Yamamura2 | ||
1Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3UCSF Benioff Children’s Hospital Oakland, Oakland, CA, United States, 4Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 5Imperial College, London, United Kingdom, 6Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States |
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This study investigates the measurement of iron overload in patients using R2 MRI in selected brain regions. |
| 1573 | Method for quantitative evaluation of the substantia nigra using phase-sensitive inversion recovery in 1.5-T magnetic resonance imaging | |
| Tomohisa Doi1, Yasuhiro Fujiwara2, and Hirotoshi Maruyama3 | ||
1Graduate School of Health Sciences, Kumamoto University, Kumamoto, Japan, 2Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan, 3Department of Radiology, National Hospital Organization Kumamoto Saisyun Medical Center, Kumamoto, Japan |
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Degeneration of the substantia nigra cannot be evaluated using neuromelanin imaging at 1.5 T. Therefore, an imaging method to quantitatively evaluate the substantia nigra with 1.5-T magnetic resonance imaging is required. This study aimed to investigate whether the substantia nigra can be quantitatively evaluated by acquiring a T1 map using three-dimensional phase-sensitive inversion recovery (PSIR) at 1.5 T. T1 mapping using the PSIR sequence enables quantitative evaluation of the substantia nigra independent of the imaging parameters. |
| 1574 | QSM Attributes of Neurodegeneration with Brain Iron Accumulation Disorders Subtypes in Basal Ganglia | |
| Alpay Ozcan1, Ozge Uygun2, Fuat Kaan Aras1, Murat Gultekin3, Zuhal Yapici2, and Alp Dincer4 | ||
1Acibadem Mehmet Ali Aydinlar Univ., Istanbul, Turkey, 2Neurology, Istanbul University, Istanbul, Turkey, 3Neurology, Erciyes University, Kayseri, Turkey, 4Radiology, Acibadem Mehmet Ali Aydinlar Univ., Istanbul, Turkey |
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QSM has the potential of describing objectively iron accumulation in brain regions such as basal ganglia which is relevant in neurodegeneration with brain iron accumulation (NBIA). Herein, for accurately assessing iron accumulation, a new metric, high susceptibility density, is introduced against mean value pitfalls which may be hindered by negative susceptibility within ROIs. When analyzing iron accumulation in basal ganglia of 16 patients with subtypes PKAN dispersion, KUFOR lower and PLAN higher accumulation, MPAN separation was obeserved in the Globus Pallidus-Red Nucleus space compared to healthy volunteers. |
| 1575 | The white matter impairment of Gordon-Holmes syndromes: a tracking based analysis | |
| Lei Wei1, KeLiang Chen2, and He Wang1,3 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, shanghai, China, 2Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China, ShangHai, China, 3Human Phenome Institute, Fudan University, Shanghai, China, Shanghai, China |
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The Gordon-Holmes syndrome is an rare condiion caused by mutation of genes, few study has reported the finding of GHS by neuroimaging, but several studies has found the white matter abnormal in GHS brain. According the tracking based analysis. The different quantitative diffusion parameters suggest the white matter abnormal from different aspects. We firstly iinvestigated the white matter abnormal of GHS in the distribution of each diffusion property. |
| 1576 | Gray Matter Changes of Pain-matrix Network in Patients with Acute Carbon Monoxide Intoxication | |
| Ming-Chung Chou1, Jei-Yuan Li2, and Ping-Hong Lai3 | ||
1Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan, 2Department of Neurology, E-Da Hospital, Kaohsiung, Taiwan, 3Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan |
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This study performed a voxel-based morphometry to investigate global gray matter changes in patients with acute CO intoxication. The results show significantly decreased gray matter volumes mostly in the pain-matrix regions, and significantly increased gray matter volumes in the periaqueductal gray (pain-modulating center). In the pain-matrix regions, the GM volumes were significantly negatively correlated with duration of coma, suggesting that longer duration of coma may lead to more headache symptoms in patients with acute CO intoxication. |
| 1577 | Ex-vivo Imaging of Intracerebral Fetal Neural Transplants in a Huntington Patient at 7T: Graft Survival and Interconnectivity 11 year post-OP | |
| David Lohr1, Philipp Capetian2, Bernhard Landwehrmeyer3, and Laura Maria Schreiber1 | ||
1Chair of Cellular and Molecular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany, 2Department of Neurology, University Hospital Würzburg, Würzburg, Germany, 3Department of Neurology, University Hospital Ulm, Ulm, Germany |
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The brain of a Huntington Disease (HD) patient who received neural fetal tissue transplants 11 years before her death, was analyzed ex-vivo in a 7T MRI scanner with a total scan time of 25 hours and 8 minutes. Signs of engrafted tissue could be found on all sites which received a stereotactic implantation (caudate nucleus, putamen) with a tendency to overgrowth for the right hemisphere. Deterministic fiber tracking based on DTI images clearly demonstrated interconnectivity of individual grafts to numerous brain regions. |
| 1578 | Does quantitative ultra-high-field magnetic resonance imaging have added value in the characterization of Friedreich’s ataxia? | |
| Sina Straub1, Stephanie Mangesius2,3, Julian Emmerich1,4, Elisabetta Indelicato5, Wolfgang Nachbauer5, Katja S. Degenhardt1,4, Mark E. Ladd1,4,6, Sylvia Boesch5, and Elke R. Gizewski2 | ||
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria, 3Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria, 4Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 5Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria, 6Faculty of Medicine, Heidelberg University, Heidelberg, Germany |
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Friedreich’s ataxia is a rare disease involving degenerative processes within white matter fiber tracts, spinal nerves, and the cerebellum such as the atrophy of the dentate nuclei. A correlation of patients’ clinical status and white matter atrophy has been shown in MR volumetry studies. This ultra-high-field study assesses the degeneration of fiber tracts throughout the brainstem as well as of the dentate nuclei, the red nuclei, and the substantia nigra in Friedreich’s ataxia with quantitative MR parameters – susceptibility, diffusion anisotropy, and R2 and R1 relaxometry. Statistically significant differences between patients and controls and between disease characteristics were found. |
| 1579 | Lesion distribution and substrate in Type 1 Myotonic Dystrophy: comparison with Multiple Sclerosis | |
| Sara Leddy1, Laura Serra2, Davide Esposito3, Camilla Vizzotto4, Gabriella Silvestri5, Antonio Petrucci6, Giovanni Meola7, Mara Cercignani2,8, and Marco Bozzali2,8 | ||
1Brighton and Sussex University Hospitals Trust, Brighton, United Kingdom, 2Neuroimaging Laboratory, Santa Lucia Foundation, Rome, Italy, 3Department of Vascular and Endovascular Surgery, University of Florence, Florence, Italy, 4University of, Rome, Italy, 5Department of Geriatrics, Orthopedics and Neuroscience, Catholic University of Sacred Heart Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy, 6UOC Neurologia e Neurofisiopatologia, AO San Camillo Forlanini, Rome, Italy, 7Department of Neurorehabilitation Sciences, Casa di Cura Policlinico, Milan, Italy, 8Department of Neuroscience, University of Sussex, Brighton, United Kingdom |
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This study compares the lesion distribution and substrate (by means of quantitative MRI) between patients with type 1 Myotonic Dystrophy (DM1) and patients with Multiple Sclerosis (MS). The main differences in anatomical distribution are the prevalence of anterior temporal lobe lesions in the former group, in the absence of cerebellum and brainstem lesions. MRI markers of myelination were not different between the normal appearing white matter of DM1 and healthy controls. By contrast they were reduced in lesions, but larger than in MS lesions. |
| 1580 | Linking priors-assisted Meyer’s loop tractography with visual field deficits in patients undergoing temporal lobe epilepsy surgery | |
| Dmitri Shastin1,2, Sanchita Bhatia2, Chantal M. W. Tax1, Greg Parker1, Stefan Schwartz2, Khalid Hamandi1,2, William Gray2,3, Derek Jones1, and Maxime Chamberland1 | ||
1School of Psychology, Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 2School of Medicine, Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 3BRAIN Biomedical Research Unit, Cardiff, United Kingdom |
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Pre-operative reconstruction of the Meyer’s loop (ML) using diffusion MRI has a clinical utility when planning temporal lobe resection in order to avoid post-operative visual field deficit. Due to its complex anatomy, precise reconstruction of the ML is challenging. Previous literature has suggested that state-of-the-art hardware and tractography using oriented priors better approximates reconstruction to the reported histological prosections. This pilot work evaluates the ability of these improvements to predict visual field deficit in surgical patients. We report a good association in three out of four cases and suggest that simplistic metrics may not necessarily correlate with function. |
| 1581 | White matter degeneration in Papez circuit is associated with memory function in patients with mesial temporal lobe epilepsy | |
| HSI-YUAN HU1, Yao-Chia Shih2, Chang-Le Chen1, Horng-Huei Liou3, Yu-Ling Chang4, Yung-Chin Hsu5, and Wen-Yih Isaac Tseng6 | ||
1Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, Taipei, Taiwan, 2Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, Singapore, Singapore, 3Department of Neurology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, Taipei, Taiwan, 4Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan, Taipei, Taiwan, 5AcroViz Technology, Inc., Taipei, Taiwan, Taipei, Taiwan, 6Molecular Imaging Center, National Taiwan University, Taipei, Taiwan, Taipei, Taiwan |
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Previous studies did not characterize side-specific associations between structural integrity of the Papez circuit and memory function in patients with mesial temporal lobe epilepsy (MTLE). Here, we used diffusion spectrum imaging (DSI) and T1-weighted MRI to calculate the white matter integrity and gray matter volume, respectively. The structural metrics were correlated with visual and verbal memory function scores assessed by neuropsychological test. The results showed distinct brain-behavior associations in two subtypes of MTLE. |
| 1582 | Diffusion Tensor Metrics Abnormalities in Developing brain: A Comparative Study Between Epilepsy and Simple Febrile Seizure aged 6-60 months | |
| Abdelkareem Salimeen Mustafa1, Xianjun Li1, Miaomiao Wang1, Congcong Liu1, Martha Singh1, Mengxuan Li 1, Xiaocheng Wei2, and Jian Yang1,3 | ||
1First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, Xi’an, China, 2MR Research China, GE Healthcare, China, Beijing, China,, Beijing, China, 3The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, People’s Republic of China,, Xi’an, China |
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Epilepsy is a common neurological disorder spread worldwide. Simple febrile seizures (simple FS) is convulsive disorder associated with fever. However, little known about diffusion changes during the developing brain. The study aimed was to assess the diffusion changes in epilepsy and simple FS at aged of 6 to 60 months, using diffusion tensor imaging (DTI). Through inter-group comparisons, fraction anisotropy (FA) decreased, and radial diffusivity (RD) increased in epileptic children compared to simple FS and control. These results suggested DTI is sensitive method in diagnosis delayed myelination in epilepsy, while simple FS have good prognosis due to different pathophysiological mechanism. |
| 1583 | Conventional and synthetic MRI in children with drug-resistant epilepsy: a comparative study | |
| XIAONA Zhang1, QUANXIN YANG1, and XIAOCHEN WEI2,3 | ||
1The Second affiliated hospital of Xi'an JiaoTong Uuniversity, Xi'an, China, 2GE Healthcare, MR Research China, Beijing, China, 3GE Healthcare, MR Research China, Xi'an, China |
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The current study aims to assess whether multi-contrast qualitative and quantitative relaxation imaging derived from the synthetic MRI can enhance detection of epileptogenic lesions in children. It was concluded that the synthetic MRI has the potential to be more sensitive in detecting lesions than conventional neuroimaging. Studies with more patients are needed to further demonstrate the relative advantages of the synthetic MRI over conventional MRI, and compare the synthetic MRI with 3-dimentional high resolution MRI. |
| 1584 | Altered cerebral functional connectivity asymmetry in unilateral mesial temporal lobe epilepsy | |
| Xu Zhao1, Zhiqiang Zhou2, and Wenzhen Zhu1 | ||
1Radiology department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Anesthesiology department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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The human brain is structurally and functionally asymmetrical. The asymmetry of mesial temporal lobe epilepsy (MTLE) were not clarified yet. This study analyzed the functional asymmetry of MTLE by comparing the functional connectivity (FC) of the left to the right hemisphere directly. The results showed reduction of asymmetrical areas in MTLE and a different asymmetrical features in left and right MTLE. The reduced FC asymmetry in MTLE may play an important role in the cognitive impairment of MTLE. The different asymmetrical features in left and right MTLE may hold the potential for differentiating left from right MTLE. |
| 1585 | Detection of brain microstructural alterations in epilepsy using DTI and mean apparent propagator (MAP)-MRI | |
| Weike Zeng1, Mengzhu Wang2, Xu Yan3, and Guang Yang4 | ||
1Deptpartment of Radiology, SUN YAT-SEN Memorial Hospital, SUN YAT-SEN University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthcare, Guangzhou, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China |
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We investigated the clinical feasibility of characterizing brain tissue microstructure in epilepsy with mean apparent propagator (MAP)-MRI, and compared with diffusion tensor imaging (DTI) using whole-brain voxel-based analyses. Results demonstrated that the MAP-MRI microstructural parameters could potentially provide more sensitive clinical biomarkers than conventional DTI techniques due to increased pathophysiological specificity in microstructural changes detection. |
| 1586 | Yield of peri-ictal arterial spin-labelling MRI perfusion in refractory epilepsy | |
| Jitender Saini1, Sarbesh Tiwari2, Sanjib Sinha3, Ravindranadh Chowdary M3, and Raghavendra K3 | ||
1Nueroimaging and Interventional Radiology, National Institute of Mental Health and, Bangalore, India, 2Diagnostic and Interventional Radiology, All India Institute of Medical Sciences,, Jodhpur, India, 3Neurology, National Institute of Mental Health and, Bangalore, India |
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Arterial Spin Labelling (ASL), a non-invasive MR based perfusion technique, has emerged as an excellent method for quantifying brain perfusion and its potential in detecting perfusion changes in drug resistant epilepsy. Our study also demonstrates the perfusion changes in the epileptogenic zone with good concordance with structural MRI and video-EEG findings. |
| 1587 | BOLD Responses to Breath-by-Breath O2-CO2 Exchange Ratio Under Breath Hold Challenge in Mild Traumatic Brain Injury Patients | |
| Suk-tak Chan1, Cora Ordway1, Ronald J Calvanio2, Ferdinando S Buonanno2, and Kenneth K Kwong1 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Neurology, Massachusetts General Hospital, Boston, MA, United States |
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We used fMRI to map BOLD responses to breath-by-breath O2-CO2 exchange ratio (bER) under breath hold protocol for patients with persistent symptoms from mild traumatic brain injury (mTBI). Comparing to controls, reduced cerebrovascular reactivity (CVR) to bER was reported for patients in insula, anterior cingulate, nucleus accumbens and ventral tegmental area, basically regions which overlapped with the dopamine pathway. The mean resting bER decreased with increased symptom severity indicated by burden scores. Our findings are consistent with impaired dopamine pathway reported for TBI patients and show the success of using bER to evaluate CVR to breath hold. |
| 1588 | Changes in resting state connectivity and brain metabolites during a season of collegiate basketball: A pilot study | |
| Candace C Fleischer1,2, Jeremy L Smith1, Maame Owusu-Ansah1, Selin Ekici1, Dongsuk Sung2, Ojaswa Prasad3, Brandon Mines4, and Jason W Allen1 | ||
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 2Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States, 3Department of Medicine, Philadelphia College of Osteopathic Medicine, Suwanee, GA, United States, 4Department of Sports Medicine, Emory University School of Medicine, Atlanta, GA, United States |
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Sports-related traumatic brain injuries are difficult to diagnose and prognose due to a lack of standardized metrics. Furthermore, there has been limited research on the effects of repeated sub-concussive and sub-clinical injuries over time. In this study, we characterized changes in resting state connectivity and brain metabolites over a season of collegiate basketball in athletes without a diagnosed concussion. We observed significant changes in resting state connectivity and brain metabolites as a function of game time played. No changes in plasma inflammatory markers were observed over time, suggesting that brain changes were not driven by systemic inflammation. |
| 1589 | White Matter Structural Changes after Multiple Concussions in Adolescents and Young Adults | |
| Arun Venkataraman1, Steven P. Meyers2, and Jianhui Zhong3 | ||
1Physics, University of Rochester, Rochester, NY, United States, 2Radiology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Diffusion MRI (dMRI)-based studies in Traumatic Brain Injury have elucidated local and global WM alterations after injury. However, no studies have quantified how repeated concussions affect WM microstucture and coherence. We, therefore, sought to udnerstand how the number of previous concussions impact diffusion metrics. We found that, compared to the control group, there were significant decreases in FA and increases in MD and RD in the corticospinal tract. With respect to the number of concussions, we found that FA actually increased and was related with higher uniformity of the fibers. We believe this is related to aberrant remyelination. |
| 1590 | White matter alterations in mild traumatic brain injury: A tract-based spatial meta-analysis exploring the effects of trauma type | |
| SuMing Zhang1, Xinyu Hu1, Xuan Bu1, and Xiaoqi Huang1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, ChengDu City, China |
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Many tract-based spatial statistics (TBSS) studies in mild traumatic brain injury (mTBI) have been inconsistent. Meanwhile, there is evidence that trauma type may have an effect on white matter (WM) microstructure in mTBI. We performed a tract-based spatial meta-analysis of mTBI and examined the potential effects of trauma type on regional WM microstructure. Our findings identified the left anterior thalamic radiation and right superior longitudinal fasciculus were the most convergent circuitry affected in mTBI and indicated distinct patterns of anatomical connectivity abnormalities in accident related and sport related mTBI, which highlighted the potential importance of trauma specific alterations in mTBI. |
| 1591 | Feasibility of Dark Blood Susceptibility-Weighted Imaging | |
| Wen-Tung Wang1, Dzung Pham1, and John A Butman1,2 | ||
1Center for Neuroscience and Regenerative Medicine, NIH/USU, Bethesda, MD, United States, 2Radiology and Imaging Sciences, NIH, Bethesda, MD, United States |
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First-order flow compensation has been widely used in MRI. While it works for visualization of vessels and CSF, the residual flow effects can impact the vessels visualization in some applications, such as minimum intensity projection, which is often used in detecting cerebral microhemorrhages on SWI images. When applying minIP, slight offset of spatial registration, and residual flow dephasing from acceleration and pulsatility can manifest as segments of hypointensities, compounding the difficulties in microhemorrhage detection. By including flow sensitization gradients in SWI sequence to suppress flow signal, dark vessels are delineated at correct spatial locations. |
| 1592 | FDG-PET imaging shows mesiotemporal hypometabolism in MRI-negative temporal lobe epilepsy | |
| Ben A Duffy1, Julia Pia Simon1, Yan Li2, Arthur W Toga1, Wolfgang G Muhlhofer3, Robert C Knowlton2, and Hosung Kim1 | ||
1USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 2UCSF Weill Institute for Neurosciences, San Francisco, CA, United States, 3University of Alabama at Birmingham, Birmingham, AL, United States |
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The pathophysiology of MRI-negative temporal lobe epilepsy is not well understood. Here, we used a surface-based approach for investigating metabolic changes in the subregions of mesiotemporal structures for MRI-negative TLE patients. We found significant hypometabolism in the anterior to the intermediate hippocampus, the intermediate entorhinal cortex and the centro-medial and laterobasal amygdala. In patients with poor outcome, metabolism tended to be more interhemispherically symmetric in all three regions compared to those with good outcome, which suggests a more complicated seizure origin in this subtype of the disorder. |
| 1593
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Association between Morphologies of Middle Cerebral Artery Occlusion on Vessel Wall Imaging and Cerebrovascular Events in Moyamoya Patients | |
| Fang Wu1, Cong Han2, Zhaoyang Fan3, and Qi Yang4 | ||
1Radiology, Xuanwu hospital, Capital Medical University, Beijing, China, 2Department of Neurosurgery, 307 Hospital of Chinese People's Liberation Army, Beijing, China, 3Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 4Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China |
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In this study, we used whole-brain vessel wall imaging (VWI) to characterize morphologies of middle cerebral artery (MCA) occlusion in patients with MMD, and explore their relationship to clinical findings. We found that plugged MCA was associated with ischemic stroke, however, vanishing MCA correlated with intraventricular hemorrhage. We also found that hemispheres with vanishing MCA manifested a higher degree of lenticulostriate artery (LSA) dilation and proliferation. The results suggest that there are two types of MCA occlusion in MMD, correlating with different stroke types and extent of perforator proliferation. Morphological analysis of occluded MCA using VWI may help understand the stroke mechanism of MMD. |
| 1594
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Intracranial aneurysms (IA) segmentation from 3D TOF-MRA and black-blood MRI (BB-MRI) using a deep convolutional neural network | |
| Miaoqi Zhang1, Shuo Han2, Aaron Carass2, Fei Peng3, Aihua Liu3, Jerry L. Prince2, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2The Johns Hopkins University, Baltimore, MD, United States, 3Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China |
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In this work, we proposed an automatic segmentation algorithm of intracranial aneurysms from dual input 3D TOF-MRA and black-blood MRI (BB-MRI) using a deep convolutional neural network to study its clinical potential for assisting intracranial aneurysm detection. The positioning of an intracranial aneurysm can benefit from the TOF-MRA, and the BB-MRI image can be used to accurately trace its boundary and measure its size. The average Dice coefficients are 0.69 and 0.73 for the TOF-MRA and the BB-MRI images, respectively. |
| 1595 | 3T intracranial vessel wall MRI reveals that arterial wall thickness increases with reducing hematocrit in patients with sickle cell disease | |
| Shuai Yuan1, Larry Davis1, Petrice Cogswell2, Spencer Waddle3, Lori Jordan1, and Manus Donahue4 | ||
1Vanderbilt University Medical Center, Nashville, TN, United States, 2Mayo clinic, Rochester, MN, United States, 3Vanderbilt University, Nashville, TN, United States, 4Vanderbilt University Medical Center Department of Radiology, Nashville, TN, United States |
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Sickle cell disease leads to increased risk of intracranial vasculopathy and stroke. Therefore, sensitive radiological indicators of cerebrovascular disease severity are needed to aid in treatment planning. 3T vessel wall imaging MRI studies demonstrated increased basilar artery wall thickness in sickle cell disease patients and inverse relationship between hematocrit and basilar wall thickness likely due to increased blood flow velocities and wall stress. Evaluation of internal carotid artery is difficult possibly due to variable CSF signal suppression in these regions. |
| 1596 | Optimized Intracranial Vessel Wall Imaging Framework – First clinical results | |
| Konstanze Viktoria Anna Valerie Guggenberger1, Patrick Vogel1, Nils Venhoff2, Ute Ludwig3, Marc Schmalzing4, Esther Raithel5, Axel Joachim Krafft3, Thomas Ness6, Jost Hillenkamp7, Horst Urbach8, Stephan Meckel8, and Thorsten Bley1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Wuerzburg, Wuerzburg, Germany, 2Clinic for Rheumatology and Clinical Immunology, University Hospital Freiburg, Freiburg, Germany, 3Department of Radiology, Medical Physics, University Hospital Freiburg, Freiburg, Germany, 4Rheumatology/Clinical Immunology Department, Internal Medicine II, University Hospital Wuerzburg, Wuerzburg, Germany, 5Siemens Healthcare, Erlangen, Germany, 6University Eye Center, University Hospital Freiburg, Freiburg, Germany, 7Department of Ophthalmology, University Hospital Wuerzburg, Wuerzburg, Germany, 8Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany |
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The extent of intracranial large artery involvement and its assessment is still part of on-going research. Our study group has developed a whole-brain T1-weighted dark blood CS-SPACE sequence suitable for intracranial vessel wall imaging in large-artery vasculitis combined with a dedicated post-processing tool. 53 patients were analyzed in a prospective blinded two university medical center trial. First clinical results demonstrate the technique`s suitability for clinical application. Mural thickening and contrast-enhancement as well as luminal changes are readily visible. However, certain confounders, especially atherosclerotic vessel wall lesions as well as vasa vasorum still propose major challenges for diagnosing intradural vasculitic affection. |
| 1597 | Optimized T1-weighted dark blood CS-SPACE - assessment of superficial extracranial arteries | |
| Konstanze Viktoria Anna Valerie Guggenberger1, Patrick Vogel1, Nils Venhoff2, Ute Ludwig3, Marc Schmalzing4, Esther Raithel5, Axel Joachim Krafft3, Thomas Ness6, Jost Hillenkamp7, Horst Urbach8, Stephan Meckel8, and Thorsten Bley1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Wuerzburg, Wuerzburg, Germany, 2Clinic for Rheumatology and Clinical Immunology, University Hospital Freiburg, Freiburg, Germany, 3Department of Radiology, Medical Physics, University Hospital Freiburg, Freiburg, Germany, 4Rheumatology/Clinical Immunology Department, Internal Medicine II, University Hospital Wuerzburg, Wuerzburg, Germany, 5Siemens Healthcare, Erlangen, Germany, 6University Eye Center, University Hospital Freiburg, Freiburg, Germany, 7Department of Ophthalmology, University Hospital Wuerzburg, Wuerzburg, Germany, 8Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany |
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Superficial extracranial arteries are predilection sites for disease manifestation in large vessel vasculitides. We evaluated the suitability of a whole-brain T1-weighted dark blood CS-SPACE sequence, initially developed for intracranial vessel wall imaging, for visualization of vasculitic changes of superficial extracranial arteries. 53 patients were analyzed in a prospective blinded two university medical center trial. First clinical results demonstrate the technique`s applicability for clinical application. Mural thickening and contrast-enhancement of superficial extracranial arteries are clearly visible. The optimized VWI protocol offers potential for assessment of intra- and extracranial disease extent in case of suspected large vessel vasculitis in one single examination. |
| 1598 | High-resolution MRI of primary and secondary central nervous system vasculitis | |
| Shuai Han1, Xinyi Wang2, and Weiqiang Dou3 | ||
1Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China, 2The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 3GE Healthcare, MR Research, Beijing, China |
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The main goal of this study was to evaluate the treatment effect of primary angiitis of the central nervous system (PACNS) and secondary central nervous system vasculitis(CNSV) with high-resolution magnetic resonance vascular wall imaging. We measured 4 patients with PACNS and 10 patients with secondary CNSV using high resolution CUBE MRI. We found that high-resolution magnetic resonance vascular wall imaging can assess the treatment effect of PACNS and secondary CNSV. Therefore, CUBE MRI can be considered an effective tool in the evaluation of PACNS and secondary CNSV. |
| 1599 | Association between type 2 diabetes mellitus and characteristics of intracranial atherosclerotic plaque: a high-resolution MRI study | |
| Sheng Jiao1, Juan Huang2, Yan Song2, Yuhui Chen3, Chengwen Liu4, Jinxia Zhu4, Jintao Zhang2, and Min Chen2 | ||
1Radiology, Beijing hospital, Beijing, China, 2Radiology, Beijing Hospital, Beijing, China, 3Neurology, Beijing Hospital, Beijing, China, 4MR Collaboration, Siemens Healthcare Ltd., Beijing, China |
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In this study we used high-resolution MRI to image intracranial atherosclerotic plaque more precisely, and then characteristics of plaque were obtained to compare with the blood glycemic (BG) level in Type 2 Diabetes mellitus (T2DM). Results demonstrated that patients with poor BG control had heavier intracranial plaque burden and more vulnerability than the patients without DM. While compared with non-DM, patients with good BG control showed no significant different in plaque burden. It suggested that BG level is an independent risk factor for the vulnerability of the intracranial atherosclerotic plaque. |
| 1600 | Diagnostic feasibility of high resolution vessel wall imaging for isolated posterior inferior cerebellar artery dissection | |
| Miran Han1, Woo Sang Jung1, and Jin Wook Choi1 | ||
1Radiology, Ajou University Medical Center, Suwon, Republic of Korea |
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We evaluate the feasibility of HR-VWI for diagnosing PICA dissection. Our results demonstrated that HR-VWI could effectively diagnose arterial dissection even in PICA, small diameter vessel. The dissection flap with outer wall enlargement on T2W HR-VWI was most confident sign for diagnosing PICAD. Isolated PICAD is not a rare cause of ischemic stroke in posterior circulation. Therefore, in case of PICA territory infarction of uncertain origin, differentiating PICAD using HR-VWI is necessary for proper treatment of patients, and T2WI should be included in HR-VWI. |
| 1601 | CAWE and higher WEI on VW-MRI were associated with symptomatic unruptured intracranial aneurysms | |
| Qichang Fu1, Yi Zhang1, Sheng Guan2, Chengcheng Zhu3, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Interventional Neuroradiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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This study aimed to demonstrate the feasibility of aneurysmal wall enhancement (AWE) and wall enhancement index (WEI) in the identification of symptomatic and asymptomatic unruptured intracranial aneurysms by using vascular wall magnetic resonance imaging (VW-MRI) in a large cohort of Chinese patients with unruptured intracranial aneurysms (UIAs). VW-MRI were obtained at MAGNETOM Skyra/Verio/Prisma 3T MR scanner (Siemens Healthcare, Erlangen, Germany) in these patients. We found CAWE and WEI>0.91 were more frequently identified in symptomatic UIAs. |
| 1602 | Combination of Plaque Characteristics and Hemodynamics Predicts Neurological Impairment in Infarction and TIA Patients | |
| Song Liu1, Ruowei Tang2, Yu Luo3, Song Jin4, and Shuang Xia5 | ||
1Radiology Department, Tianjin Huanhu Hospital, Tianjin, China, 2Radiology Department, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 3Radiology Department, Shanghai Fourth People's Hospital, Shanghai, China, 4Tianjin Huanhu Hospital, Tianjin, China, 5Tianjin First Central Hospital, Tianjin, China |
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Ischemic stroke is the second frequent cause of death worldwide. Some patients have transient symptoms of neurological defect without parenchymal damage, irreversible cerebral tissue injury happens in someone else. How to discriminate TIA from acute stroke needs further study. This study uses muti-modal MRI scaning to investigate the difference of plaque characteristics in Middle Cerebral Artery (MCA) between patients with infarction and transient ischemic attack (TIA), and to explore the predictive model for infarction region and neurological impairment. |
| 1603 | 3D-CUBE T1 vessel wall imaging and Susceptibility Weighted Imaging in the diagnosis of cerebral venous sinus thrombosis: a comparison study | |
| Bing Zhao1, Jianshe Zhao1, Weiqiang Dou2, Chao Zhang3, Meijia Zhu3, and Xinyi Wang3 | ||
1Department of Radiology, Qilu Children's Hospital of Shandong University, Jinan, China, 2GE Healthcare, MRI Research China, Beijing, China, 3Shandong Province Qianfoshan Hospital, Jinan, China |
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This study was aimed at investigating the clinical value of CUBE MRI for high resolution imaging and susceptibility weighted imaging (SWI) in the diagnosis of cerebral venous sinus thrombosis (CVST). The sensitivity, specificity, positive predictive value, and negative predictive value for 3D-CUBE T1 and SWI were calculated respectively. In this study, the diagnosis results of T1 weighted CUBE were better than that of SWI in comparison with the referential diagnosis in the detection of CVST. We therefore demonstrated that the T1 weighted CUBE MRI provided more effective usefulness than SWI in the diagnosis efficacy of the CVST. |
| 1604 | Clinical Feasibility of High-Resolution Intracranial Vessel Wall MRI with Compressed Sensing | |
| Chae Jung Park1, Jihoon Cha1, Sung Soo Ahn1, Hyun Seok Choi1, and Seung-Koo Lee1 | ||
1Department of Radiology, Severance hospital, Seoul, Republic of Korea |
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We investigated the clinical feasibility of compressed sensing (CS) in the intracranial vessel wall magnetic resonance imaging (VW-MRI) by applying CS to 3D post-contrast T1-weighted images (T1C). CS enabled larger scan coverage with nearly same scan time, while achieving comparable image quality, normal wall and lesion wall delineation. Furthermore, most T1C with CS provided acceptable quality with regard to overall image quality (84.7%), normal wall delineation (83.3%), and lesion wall delineation (97.8%), which was similar to T1C without CS. Therefore, CS is clinically feasible when applied to the post-contrast intracranial VW-MRI. |
| 1605 | The feasibility of High resolution MRI in Length Measurement of Cerebral Arterial Thrombosis : a correlation study with Catheter Angiography | |
| Chao Zhang1, Xinyi Wang1, Weiqiang Dou2, and Bing Zhao3 | ||
1The First Affiliated Hospital of Shandong First Medical University, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China, 3Qilu Children's Hospital of Shandong University, Jinan, China |
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This study aimed to investigate the feasibility of CUBE MRI for high resolution imaging in the length measurement of intraluminal thrombi for acute stroke patients. The T1 weighted CUBE images displayed the segments proximal and distal to the thrombus with sufficient quality for clinical diagnosis, and showed the length of it as high signal or iso-signal filling in the lumen. As a result, about 88.9% of the thrombus lengths assessed by CUBE T1 were consistent with the reference DSA. We therefore, demonstrated that the T1 weighted CUBE MRI can effectively evaluate the length of intraluminal thrombi. |
| 1606 | Quantitation of penumbra volumes in acute ischemic stroke using susceptibility- weighted imaging and mapping | |
| Xiudi Lu1, Linglei Meng2, Yongmin Zhou3, Shaoshi Wang2, Miller Fawaz4, Meiyun Wang5, E. Mark Haacke4, Chao Chai6, Meizhu Zheng7, Jinxia Zhu8, Shuang Xia6, and Yu Luo3 | ||
1The First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China, 2Shanghai Fourth People’s Hospital, Shanghai, China, 3Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai, China, 4Wayne State University, Detroit, MI, United States, 5Zhengzhou University People’s Hospital, Zhengzhou, China, 6Tianjin First Central Hospital, Tianjin, China, 7Third Central Hospital of Tianjin, Tianjin, China, 8Siemens Healthcare Ltd, Beijing, China |
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This study aimed to measure ischemic penumbra volumes using susceptibility-weighted imaging and mapping (SWIM). We compared the diagnostic accuracy between SWIvolume-diffusion-weighted imaging (DWI) and SWIASPECTS-DWI mismatches and analyzed the relationships among the SWIvolume-DWI, SWIASPECTS-DWI, and PWI-DWI mismatches and the different parameters and NIHSS. We found that quantitative SWIvolume-DWI mismatch volumes were more accurate than those of the SWIASPECTS-DWI mismatch in being able to evaluate ischemic penumbra. The asymmetrical prominent cortical vein volumes using SWIM showed hypoperfused regions and Tmax >6s volumes, based on perfusion-weighted imaging (PWI). The quantitative SWIvolume-DWI mismatch was highly consistent with the PWI-DWI mismatch. |
| 1607 | Comparison of oxygenation MRI methods with cerebrovascular reactivity in Moyamoya disease using simultaneous [15O]-water PET/MRI | |
| Audrey P Fan1, David Y.T. Chen2, David D. Shin3, Moss Y. Zhao1, Mohammad M. Khalighi1, Jun-Hyung Park1, Bin Shen1, Dawn Holley1, Kim Halbert1, Gary K. Steinberg4, and Greg Zaharchuk1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Radiology, Taipei Medical University, Taipei, Taiwan, 3GE Healthcare, Menlo Park, CA, United States, 4Neurosurgery, Stanford University, Stanford, CA, United States |
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In this [15O]-water PET/MRI study, we compared two non-invasive MRI techniques to measure brain oxygen extraction fraction (OEF) in 10 patients with Moyamoya disease, a steno-occlusive disease of arteries at the base of the brain. Relative OEF from magnetic susceptibility in veins and tissue R2' inversely correlated with [15O]-water PET baseline cerebral blood flow and cerebrovascular reactivity (after vasodilation with acetazolamide). Susceptibility-based OEF in veins was abnormally elevated by 20.4% in regions with severe stenosis compared to healthy tissue. R2' maps showed a smaller OEF elevation (9.6%) that may be confounded by other physiological changes (e.g. blood volume) in disease. |
| 1608 | Investigation of the Windkessel Effect in Intracranial Aneurysms with Dual VENC 4D Flow MRI | |
| Maria Aristova1, Kelly Jarvis1, Michael Pan1, Matthew Potts2, Michael Hurley2, Babak Jahromi2, Ali Shaibani1, Sameer Ansari1, and Susanne Schnell1 | ||
1Radiology, Northwestern University, Chicago, IL, United States, 2Neurosurgery, Northwestern University, Chicago, IL, United States |
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The Windkessel effect is hypothesized to be the mechanism of altered cerebral hemodynamics in intracranial aneurysms, via damping of pulsatile flow. 4D Flow MRI with specialized, network-based post-processing workflow provides damping factor (DF), by measuring pulsatility index (PI) ratio between proximal and distal vessels. PI values were higher in subjects with large aneurysms, even for contralateral vessels, suggesting patients with larger aneurysms may have other contributions to hemodynamics that also impact their vasculature outside the lesion. A multivariate linear correlation model shows that smaller aneurysms may have lower DF than contralateral, while larger aneurysms have higher DF ipsilateral than contralateral. |
| 1609 | Evaluating cervical artery dissections in young adults - A Comparison Study between High-Resolution MRI and CT Angiography | |
| Xiao Cui1, Xianshun Yuan1, Hui Gu1, Mo Wang2, Yin Dong1, Ximing Wang1, and Xiang Feng3 | ||
1Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 2Department of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China, 3MR Scientific Marketing, Diagnosis Imaging, Siemens Healthcare Ltd, Beijing, China |
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This study aimed to compare the diagnostic values between HR-MRI and CTA in young adults with cervical artery dissections. Totally 42 patients with ischemic stroke were recruited, including 20 carotid artery dissections, 12 vertebral artery dissections and 10 non-dissected cervical arteries. Two radiologists separately analyzed all the images. According to the radiologists’ scores for the likelihood of the dissections, positive predictive value, negative predictive value, sensitivity and specificity for both modalities were calculated. We found the higher sensitivity and specificity of HR-MRI. This study supports the value of HR-MRI in non-invasive diagnosis of young adults due to cervical artery dissections. |
| 1610 | Noninvasive assessment of revascularization in adult-onset moyamoya disease after bypass surgery using super-selective ASL perfusion | |
| Inpyeong Hwang1, Chul-Ho Sohn1, Won-Sang Cho2, Jeong Eun Kim2, Roh-Eul Yoo1, Koung Mi Kang1, Dong Hyun Yoo1, Tae Jin Yun1, Seung Hong Choi1, and Ji-hoon Kim1 | ||
1Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2Department of Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of |
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The purpose of this study was to evaluate whether super-selective ASL (SS-ASL) perfusion imaging could precisely visualize the revascularization area after bypass surgery in moyamoya disease, compared to digital subtracted angiography (DSA). Twenty-eight bypassed hemispheres of twenty-six patients in moyamoya disease underwent postoperative six months SS-ASL and DSA. Subjective image analysis of the revascularization area, as well as collateral grading, were performed. The agreement of the revascularization area was excellent (weighted kappa, 0.83), and agreement of collateral grading was good (weighted kappa, 0.722.) SS-ASL could evaluate revascularization territory precisely in the patient of moyamoya disease who underwent bypass surgery. |
| 1611 | Ultrashort TE 4D-MRA for Giant Aneurysms Treated with Flow-Diverter Stents: Visualization of Flow in the Stents and Hemodynamic Vascular Flow | |
| Nao Takano1, Michimasa Suzuki1, Yutaka Ikenouchi1, Munetaka Yamamoto2, Kohsuke Teranishi2, Syo Murata1, Nozomi Hamasaki1, Haruyoshi Hoshito1, Christina Andica1, Toshiaki Akashi1, Akihiko Wada1, Hidenori Oishi3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Hospital, Tokyo, Japan, Tokyo, Japan, 2Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan, Tokyo, Japan, 3Department of Neuroendovascular Therapy, Juntendo University School of Medicine, Tokyo, Japan, Tokyo, Japan |
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We assessed the usefulness of ultrashort TE (UTE) 4D-MR angiography for giant aneurysms treated with flow-diverter stents. We evaluated the depiction of flow in the stents, and visualization of hemodynamic vascular flow in aneurysms. The newly developed UTE 4D-MRA could visualize flow in the stents at the acceptable quality for diagnosis, and hemodynamic vascular flow in aneurysms were comparable to X-ray DSA. Moreover, UTE 4D-MRA showed intraaneurysmal flow within the coil which was difficult to visualize even with X-ray DSA. Our study demonstrated that UTE 4D-MRA was adequate to visualize the hemodynamic vascular flow in aneurysms, and might be useful. |
| 1612 | Non-Contrast Enhanced Ultrashort Echo Time MR Angiography (Silent MRA) for Intracranial Aneurysms Treated with Flow-Diverter Stents and Coils | |
| Nao Takano1, Michimasa Suzuki1, Yutaka Ikenouchi1, Munetaka Yamamoto2, Kohsuke Teranishi2, Syo Murata1, Nozomi Hamasaki1, Haruyoshi Hoshito1, Christina Andica1, Toshiaki Akashi1, Akihiko Wada1, Hidenori Oishi3, and Shigeki Aoki1 | ||
1Department of Radiology, Juntendo University Hospital, Tokyo, Japan, Tokyo, Japan, 2Department of Neurosurgery, Juntendo University School of Medicine, Tokyo, Japan, Tokyo, Japan, 3Department of Neuroendovascular Therapy, Juntendo University School of Medicine, Tokyo, Japan, Tokyo, Japan |
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We evaluated the usefulness of non-contrast enhanced ultrashort TE MRA (Silent MRA) for intracranial aneurysms treated with flow-diverter (FD) stents and coils. FD stent has a higher metal coverage, thus it is difficult to visualize in-stent flow using TOF-MRA, due to the magnetic susceptibility. In contrast, silent MRA uses ultrashort TE, therefore may visualize in-stent flow. In silent MRA, in-stent flow score was superior to that of TOF-MRA (p<0.05). Moreover, aneurysm occlusion status was in good agreement with X-ray DSA (κ = 0.84). Therefore, silent MRA is useful for the evaluation of intracranial aneurysms treated with FD stents and coils. |
| 1613 | Modulating Functional Networks and Language Performance by Repetitive Transcranial Magnetic Stimulation in Post-stroke Aphasia | |
| Bing-Fong Lin1, Po-Yi Tsai2, and Chia-Feng Lu1 | ||
1Biomedical imaging and radiological sciences, National Yang-Ming University, Taipei, Taiwan, 2Taipei Veterans General Hospital, Taipei, Taiwan |
||
Low-frequency repetitive transcranial magnetic stimulation (rTMS) provided promising results to facilitate the language recovery in stroke patients with non-fluent aphasia. This study demonstrated a contralesional inhibitory rTMS treatment can modulate the brain functional networks compare to the conventional therapy. The modulated functional networks were further correlated with the improvement of language performance after the rTMS treatment. |
| 1614 | Plaque characteristics and implication on mechanism in border-zone infarction caused by middle cerebral artery atherosclerosis | |
| Yu Guo1,2, Jiayu Xiao2, Zhongying Gong3, Wen Shen1, Shuang Xia1, and Zhaoyang Fan2 | ||
1Radiology, Tianjin First Central Hospital, tianjin, China, 2BIRI, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Neurology, Tianjin First Central Hospital, tianjin, China |
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This study aimed to investigate atherosclerotic plaque characteristics in middle cerebral artery (MCA) atherosclerotic patients with border-zone (BZ) infarction using magnetic resonance vessel wall imaging (MR-VWI). In 84 retrospectively enrolled ischemic stroke patients caused by MCA atherosclerosis, the characteristics of culprit plaques were quantitatively compared between BZ only infarction and combined border-zone and pial (BZ+PI) infarction groups. BZ+PI infarction was associated with a higher degree of stenosis and higher plaque-wall contrast ratio and enhancement ratio, compared with BZ only infarction, suggesting that embolic pathogenesis may also account for BZ+PI infarction in addition to hemodynamic compromise. |
| 1615 | Quantitative Evaluation of Neuronal Recovery in stroke patients by Rehabilitation Using Myelin Water Fraction mapping | |
| Junghyeob Kim1, Yejin Jo2, Jae Eun Song1, Hyunjung Kim2, Deogyoung Kim2, and Dong-Hyun Kim1 | ||
1Electrical & Electronic Engineering, Yonsei University, Seoul, Republic of Korea, 2Department and Research Institute of Rehabilitation Medicin, Yonsei University College of Medicine, Seoul, Republic of Korea |
||
Stroke is a worldwide disease and requires quantitative evaluation for better patient management. In evaluating rehabilitation of stroke patients, quantitative analysis was performed using the conventional DTI-FA and multi echo GRE Myelin Water Fraction mapping technique |
| 1616 | Characteristics of Intracranial Artery Dissection on High-resolution MRI Associated with Recurrent Stroke/Transient Ischemic Attack | |
| Bing Tian1, Zhang Shi2, Xia Tian2, Qi Liu2, and Jianping Lu2 | ||
1Radiology, Changhai hospital of Shanghai, Shanghai, China, 2Changhai hospital of Shanghai, Shanghai, China |
||
HR-MRI is helpful for the classification of IAD, could be used to identify the culprit IAD from non-culprit ones. |
| 1617 | Differences of Wall shear stress between patients with high-risk and low-risk plaque in carotid artery: A 4D flow MRI study. | |
| Guiling Zhang1, Zhenxiong Wang1, Weiyin Vivian Liu2, and Wenzhen Zhu1 | ||
1Tongji hospital, Wuhan, China, 2MR Research, GE Healthcare, Beijing, China |
||
High risk plaque is the is the predominant risk factor of stroke. Accurate diagnosis and intervention could prevent patients from cerebrovascular events. Axial, circumferential and 3D wall shear stress calculated by 4D flow MRI were utilized to explore the difference between high risk plaque patients and low risk plaque patients. The results demonstrated the WSS were all significant higher in high risk plaque group. Our results may provide crucial clues to therapeutic interventions. |
| 1618 | Angiogenesis following peripheral blood stem cell therapy: evidence from perfusion MRI of patients with ischemic stroke | |
| Chao-Chun Lin1, Wen-Chau Wu2, Woei-Cherng Shyu3, Yi-Jui Liu4, Hing-Chiu Chang5, Yu-Chien Luo3, Der-Cherng Chen3, Chia-Wei Lin3, Hsiao-Wen Chung6, and Shinn-Zong Lin7 | ||
1Department of Radiology, China Medical University Hospital, Taichung, Taiwan, 2Institute of Medical Device and Imaging, National Taiwan University, Taipei, Taiwan, 3China Medical University Hospital, Taichung, Taiwan, 4Department of Automatic Control Engineering, Feng-Chia University, Taichung, Taiwan, 5Department of Diagnostic Radiology, University of Hong Kong, Hong Kong, Hong Kong, 6Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 7Buddhist Tzu Chi General Hospital, Hualien, Taiwan |
||
Dynamic susceptibility-contrast perfusion-weighted MRI was performed on 15 chronic stroke patients receiving intracerebral implantation of peripheral blood stem cells (PBSC) at baseline and 6 longitudinal stages after therapy to derive relative cerebral blood volume around the implanted graft relative to contralateral white matter (rCBV ratio), with 15 control patients receiving baseline MRI plus two follow-ups. Nine of the 15 patients (60%) in the PBSC group showed significantly increased rCBV ratio than the baselines (1.39±0.60 versus 1.07±0.44; p < 0.01) at one week after implantation only, preceding functional improvements starting at one month as assessed by NIH stroke scale. |
| 1619 | Correlation analysis between APTW and blood flow status in the ischemic penumbra of patients with subacute ischemic stroke | |
| Yuhan Jiang1, Yanwei Miao1, Liangjie Lin2, Zhiwei Shen2, Peipei Chang1, Yiwei Che1, Ailian Liu1, Qingwei Song1, and Jiazheng Wang2 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
||
The presence, dynamic evolution, and outcome of the ischemic penumbra (IP) are important for the choice of treatment options and prognosis. At present, there is currently no study to combine the APTw MRI with the blood flow measurements for IP analyses. Purpose of this study was to analyze the association between APT metabolic changes and blood flow status in the IP of patients with subacute infarction in the unilateral middle cerebral artery by APT and ASL techniques. Significant correlations of APTw values to CBF values of PLD1.5. |
| WITHDRAWN |
| 1620 | Highly Accelerated Time-Encoded Dynamic ASL Angiography | |
| Sophie Schauman1, Joseph G. Woods1,2, Mark Chiew1, and Thomas W. Okell1 | ||
1Wellcome Centre for Integrative Neuroimaging, NDCN, University of Oxford, Oxford, United Kingdom, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States |
||
Time-encoded (TEnc) dynamic ASL angiography is a method that provides high SNR, dynamic information about the blood supply to the brain. However, as is commonly the case with all ASL-based methods, multiple repeat encodings are required to fully sample the information required to decode the dynamic angiographic data. Here we apply spatial sparsity and temporal smoothness constraints to reconstruct highly under-sampled TEnc data, and demonstrate that high fidelity, high resolution ASL angiography can be performed in a fraction of the time it takes using conventional methods. |
| 1621 | Rapid Brain Arterial Spin Labeling (ASL) using pseudo-Continuous ASL Echo Planar Imaging with Compressed SENSE (pCASL-EPICS) | |
| Kosuke Morita1, Masami Yoneyama2, and Takeshi Nakaura3 | ||
1Kumamoto University Hospital, Kumamoto, Japan, 2Philips Japan, Tokyo, Japan, 3Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan |
||
Multi-slice single-shot 2D echo-planar imaging (EPI) readout can be used effectively for pseudo-continuous arterial spin labeling (pCASL) perfusion imaging. In this study we tried to utilize the Compressed SENSE reconstruction for pCASL-EPI without further optimization of EPI sampling scheme. pCASL-EPICS clearly reduces noise-like artifacts and significantly improves the robustness of perfusion images in a short scan time less than 3 minutes compared with conventional pCASL SENSE, without any penalty for scan parameters. This technique may be helpful to further assess the many brain diseases. |
| 1622 | Investigating the Optimal Vasoactive Stimulus to Extract Dynamic Cerebrovascular Reactivity Information: Breath holding versus CO2 Challenge | |
| Eva Elisabeth van Grinsven1, Allen A. Champagne2, Marielle Philippens3, and Alex Bhogal4 | ||
1Department of Neurology & Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht, Netherlands, 2Center for Neuroscience studies, School of medicine, Queen’s University, Kingston, ON, Canada, 3Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 4Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands |
||
This study compared multiple BOLD cerebrovascular reactivity (CVR)-metrics during breath holding (BH) versus a targeted CO2 challenge to determine the degree of similarity in extracting dynamic information about hemodynamic reserves. The preliminary data confirm previous research; CVR-maps were spatially comparable and correlated well between the two stimuli. That said, the data suggests reliable information regarding the flow dynamics is best provided by a controlled CO2 stimulus. Thus, even though BH may be easier to implement, it may also be limited in its ability to provide additional information regarding cerebrovascular health (beyond CVR), which could be of value when investigating patients. |
| 1623 | Towards non-invasive estimation of "resting-state" CVR: associations with congenital heart disease, cognition, and nasal nitric oxide | |
| Vincent Jerome Schmithorst1, Cecilia Lo2, Philip Adams2, and Ashok Panigrahy1 | ||
1Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 2University of Pittsburgh, Pittsburgh, PA, United States |
||
Estimation of cerebrovascular reserve/reactivity (CVR) typically necessitates an invasive vasoactive stimulus. We here propose a metric to non-invasively estimate “resting-state” CVR (rCVR), the capacity of the vasculature to respond to resting-state metabolic demand, as the negative ratio of functional connectivity strength (FCS) to regional cerebral blood flow (CBF). Construct validity was demonstrated via prediction of end-tidal CO2 levels (PETCO2). rCVR was lower in older children with congenital heart disease (CHD) in default mode network (DMN), salience network (SN), and central executive network (CEN), and was positively associated with neurocognitive outcome (NIH Toolbox) and nasal nitric oxide (nNO) levels. |
| 1624 | Apparent PCA territory hypoperfusion on arterial spin labeling MRI is a common artifact in patients with a unilateral fetal PCA. | |
| Abraham Noorbakhsh1 and Divya Bolar1 | ||
1Department of Radiology, University of California, San Diego, San Diego, CA, United States |
||
A retrospective review was performed of 50 patients undergoing MRI with pseudo-continuous arterial spin labeling (pCASL) perfusion imaging and confirmed unilateral fetal PCA. The aim is to determine the frequency of visually-apparent unilateral PCA territory hypoperfusion in patients with a contralateral fetal PCA, but without underlying clinical or imaging pathology to suggest true hypoperfusion. Eight of the fifty cases (16%) had visually-apparent hypoperfusion in the PCA territory contralateral to the fetal PCA. Given these findings, we advise caution when interpreting ASL in patients with a fetal PCA/variant circle of Willis anatomy or suggest using longer post-labeling delay times. |
| 1625 | The relationship between cerebral arterial perforator function on 7 Tesla MRI and carotid occlusive disease | |
| Tine Arts1, Laurien Onkenhout2, Doeschka Ferro2, Eline Oudeman2, Jaap Kappelle2, Thijs van Osch3, Jaco Zwanenburg1, Jeroen Hendrikse1, and Geert Jan Biessels2 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 3Radiology, Leiden University Medical Center, Leiden, Netherlands |
||
Recently, flow velocity and pulsatility can be measured in cerebral perforating arteries. However, whether this perforator function is independent of upstream large vessel function is unknown. This study therefore investigates cerebral perforator velocity and pulsatility in the centrum semi-ovale (CSO) and basal ganglia (BG) using 7 Tesla MRI in patients with carotid occlusive disease and controls, and in patients inter-hemispherical. Cerebral perforator function was found to be similar in patients and controls, and also similar between hemispheres of patients with unilateral COD. These results show that cerebral arterial perforator function is independent of upstream large vessel disease. |
| 1626 | Clipped cerebral aneurysm evaluation with gradient modulated PETRA, preliminary study | |
| Minoru Morikawa1, Hideki Ishimaru1, Yohei Ikebe1, Masataka Uetani1, Reiko Ideguchi2, Hiroshi Imai3, and Naoharu Kobayashi4 | ||
1Department of Radiology, Nagasaki University Hospital, Nagasaki, Japan, 2Department of Radioisotope Medicine, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan, 3Siemens Healthcare K.K., Tokyo, Japan, 4Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, United States |
||
Gradient modulated pointwise encoding time reduction with radial acquisition sequence (GM-PETRA) is a new sequence, which can minimize metallic artifact caused by surgical clips. The GM-PETRA samples k-space more quickly by increasing the gradient amplitude after excitation while keeping a relatively low excitation bandwidth. GM-PETRA provides decrease the susceptibility artifact caused by a metallic implant such as surgical clip and can demonstrate the patency of parent artery adjacent to the surgical clip more clearly than conventional PETRA and TOF MRA. |
| 1627 | Cerebrovascular Atlas: A Novel Framework to Detect Structural Alterations Using MRA | |
| Boyu Zhang1, Bei Wang1, Chengyan Wang2, Ying-Hua Chu3, and He Wang1,2 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3MR Collaboration, Siemens Healthcare Ltd., Shanghai, China |
||
Cerebral vascular alterations are leading risk of several brain diseases. To detect the structural alterations, we proposed the novel framework to automatically generate the cerebrovascular probability atlas and corresponding radius and tortuosity atlas using multistage segmentation and concatenated registration method. 198 hypertension patients and 149 health participants scanned with TOF MRA and T1 sequences were included in our study. The tortuosity in middle cerebral artery and posterior cerebral artery are obviously higher in hypertension group, which may reveal the intrinsic mechanism of cerebrovascular structural changes in hypertension. |
| 1628 | Compressed SENSE Accelerated CE-MRA: Comparison of Image Quality and Vessel Detectability with standard SENSE imaging. | |
| Maarten J. Versluis1, Yi Wang2, Karthik Gopalakrishnan3, Burkhard Maedler4, Charles Truwit5, Velmurugan Gnanaprakasam1, Johan van den Brink1, and Liesbeth Geerts1 | ||
1BIU MR, Philips Healthcare, Best, Netherlands, 2Clinical Science, Philips Healthcare, Seattle, WA, United States, 3BIU MR, Philips Healthcare, Bangalore, India, 4Clinical Science, Philips Healthcare, Hamburg, Germany, 5Diagnostic Imaging, Philips Healthcare, Cambridge, MA, United States |
||
In this study we compared the image quality of CE-MRA scans using Compressed SENSE and SENSE reconstruction in three subjects. A visual comparison between the number of intracranial vessels showed no differences for both reconstruction techniques. Structural Similarity Index (SSIM) and Mean squared error (MSE) metrics were used to compare retrospectively undersampled CS-SENSE and SENSE acquisitions at a number of reduction factors with the fully sampled dataset. It was found that CS-SENSE reconstructed scans show a higher similarity to the fully sampled acquisitions than using conventional SENSE parallel imaging allowing a 50% increase in acceleration compared to SENSE. |
| 1629 | Investigation of the relationship between anatomical morphology of circle of Willis and the primary collateral blood flow based on t-ASL | |
| Zhangli Xing1, Yunjing Xue1, Bin Sun1, and Pu-Yeh Wu2 | ||
1Fujian Medical University Union Hospital, Fuzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
||
We used 3D-TOF-MRA and territorial-ASL (t-ASL) maps to investigate the relationship between anatomical morphology of circle of Willis (CoW) and the primary collateral blood flow in physiological conditions. We found that the primary collateral blood flow had a direct relationship with anatomical structure of CoW. A1 segment has a role in controlling the blood flow in anterior circulation, while in posterior circulation, P1 segment and PcomA cooperate to dominate the blood flow. |
| 1630 | Non-enhanced hybrid arterial spin labeling zTE MRA for intracranial arteries: a feasibility study | |
| Lijuan Wang1, Songan Shang1, Weiqiang Dou2, Jianxun Qu2, Jing Ye1, and Jingtao Wu1 | ||
1Northern Jiangsu People’s Hospital, Yangzhou, China, 2GE Healthcare, Beijing, China |
||
In this study, we aimed to investigate the feasibility of a hybrid arterial spin labeling (hASL) zero-echo-time (zTE) magnetic resonance angiography (MRA) for intracranial arteries. Comparing with the conventional zTE MRA (continuous ASL, cASL), the hASL-zTE-MRA showed higher signal homogeneity in the proximal intracranial arteries. Additionally, hASL-zTE-MRA provided more robust performance in depicting cerebrovascular diseases, such as stenosis and arteriovenous malformation (AVM). We therefore demonstrated that the utilization of hASL strategy could potentially improve the image quality of zTE-MRA, and further be applied routinely in the clinic for patients with cerebrovascular diseases. |
| 1631 | Zero Echo Time Arterial Spinning Labeling Magnetic Resonance Angiography in the diagnosis of intracranial artery stenosis: a feasibility study | |
| Mingzhen Wu1, Weiqiang Dou2, Chengbing He1, Xiaoqian Huang1, Jixin Luan1, Chuanying Shi1, and Chuanchen Zhang1 | ||
1Liaocheng People's Hospital, Liaocheng, China, 2GE Healthcare, MR Research China, Beijing, China |
||
This study aimed to investigate if zero-echo-time arterial-spin-labeling (ZTE ASL) MRA is feasible in the diagnosis of intracranial artery stenosis(ICAD). 25 patients with confirmed clinically stroke or transient ischemic attacks were recruited. For these patients, the correspondingly acquired ZTE-MRA images were compared with those using TOF-MRA technique. DSA imaging was also applied for and considered as a reference standard. For large-medium-sized intracranial arterial segments, ZTE-MRA showed better performance in the image quality and diseased artery detection than TOF-MRA. Therefore, ZTE-MRA can be considered as a promising technique to be further applied in the clinic routinely for patients with ICAD. |
| 1632 | Highly Accelerated Compressed Sensing Time-of-Flight MRA for head and neck arterial stenoses: comparison with digital subtraction angiography | |
| Xuan Zhang1, Yue zhou Cao2, Yi Sun3, Michaela Schmidt4, Christoph Forman4, Peter Speier4, and Shanshan Lu1 | ||
1Radiology department, The first affiliated hospital of nanjing medical university, Nanjing, China, 2Interventional Radiology department, The first affiliated hospital of nanjing medical university, Nanjing, China, 3MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China, 4Siemens Healthcare GmbH, Erlangen, Germany |
||
As a widely used technique for cerebrovascular disease, the anatomical coverage of TOF-MRA is often limited in order to achieve a compromise between high spatial resolution and acceptable scan time. Compressed sensing (CS) is an effective technique for accelerating 3D acquisitions. In this study, we report the preliminary results of CS TOF-MRA for diagnosing head and neck arterial steno-occlusive disease by taking DSA as the reference standard. CS TOF-MRA provides a relatively large coverage, high resolution, good image quality and comparable diagnostic accuracy to DSA in the assessment of head and neck arterial stenoses within a reasonable acquisition time. |
| 1633 | Bright Vessel Appearance on Arterial Spin Labeling MRI: Beyond Localizing Arterial Occlusion | |
| Jinhao Lyu1, Xiangbing Bian1, Liuxian Wang1, Yina Lan1, Xin Zhou2, Lin Ma1, and Xin Lou1 | ||
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences‐Wuhan National Laboratory for Optoelectronics, Wuhan, China |
||
Bright vessel appearance on arterial spin labeling (ASL) had been reported to be a useful marker for localizing arterial occlusion in acute ischemic stroke. But ischemia due to cerebral arterial occlusion did not always show bright vessel appearance on ASL. In the present study, we found that the presence of bright vessel appearance may associate with thrombus age and be able to specifically identify acute cerebral arterial occlusion. The findings may help to optimize current stroke protocols and facilitate the diagnosis of fresh thrombus, thus to support the treatment decision making in stroke patients with large vessel occlusion. |
| 1634 | Investigation of collateral circulation compensatory capacity of Willis ring using vessel selective arterial spin labeling | |
| Yuzhu Yan1, Dan Tong1, Xiaochao Liu2, Xiaolei Wang1, Zhuo Wang1, Fan Yang1, and Lizhi Xie3 | ||
1radiology, The first hospital of Jilin University, Changchun, China, 2The third people's hospital of Datong, Datong, China, 3GE Healthcare, MR Research China,Beijing, Beijing, China |
||
The Willis ring plays an important role in the collateral circulation especially in patients with internal carotid artery (ICA) stenosis. However conventional time of flight (TOF) MR angiography may only offer limited knowledge of the compensatory blood flow attributed to collateral circulation for patients with stenosis. Vessel selective arterial spin labeling allows the assessment of blood flow of a specific vessel. The purpose of this study was to quantify the influence of various anatomical types on the compensatory capacity of the Willis ring for patients with severe stenosis or occlusion using combined TOF MRA and vessel selective ASL method. |
| 1636 | Evidence for reduced oxygen extraction efficiency in sickle cell anemia patients with cerebral capillary shunting | |
| Meher Juttukonda1,2, Spencer Waddle3, Larry Davis3, Chelsea Lee4, Niral Patel4, Sumit Pruthi3, Adetola Kassim5, Manus Donahue3, and Lori Jordan4 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Pediatrics-Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Medicine-Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN, United States |
||
Venous hyperintense signal in arterial spin labeling (ASL) MRI has been associated with abnormal tissue-capillary water exchange in adults with sickle cell anemia (SCA). We tested the hypothesis that such hyperintense signal is associated with reduced oxygen extraction fraction (OEF) in adults with SCA. Higher categorical scores of shunting were associated with lower OEF in SCA participants with silent infarcts and/or white matter lesions but not in participants without lesions. These findings indicate that venous hyperintense signal in ASL images may reflect impaired abilities of blood to subserve oxygen and may contribute to lesion development in SCA patients. |
| 1637 | Anemia, silent stroke, and vascular abnormalities independently contribute to microstructural integrity in Tanzanian sickle cell patients | |
| Hanne A Stotesbury1, Mboka Jacob2, Jamie M. Kawadler1, Dawn E. Saunders1,3, Chris A. Clark1, and Fenella J. Kirkham1 | ||
1Imaging and Biophysics, Developmental Nerosciences, UCL Great Ormond St Institute of Child Health, London, United Kingdom, 2Department of Radiology & Imaging, Muhimbili University of Health and Allied Sciences, Dar Es Salaam, Tanzania, 3Department of Radiology, Great Ormond Street Hospital, London, United Kingdom |
||
Reductions in white matter integrity are associated with neurocognitive dysfunction in sickle cell anemia (SCA) patients, but the aetiology is poorly understood. Aiming to explore whether anemia severity, silent cerebral infarction (SCI), and vascular abnormalities may all play a role, we conducted tract-based-spatial statistics in 62 Tanzanian children with SCA. We found anemia severity to be independently associated with increased mean and axial diffusivity, SCI with increased radial diffusivity, and turbulence or vasculopathy with reduced fractional anisotropy. Our findings are consistent with a model of neurological complications in which these pathologies may all contribute to functionally-significant reductions in tissue integrity. |
| 1638 | Venous Oxygenation in Sickle Cell Patients and Controls using Quantitative Susceptibility Mapping versus T2-relaxation-under-spin-tagging | |
| Hanne A Stotesbury1, Russell Murdoch2, Patrick Hales1, Jamie M. Kawadler1, Melanie Kölbel 1, David Carmichael3, Chris A. Clark1, Fenella Kirkham1, and Karin Shmueli2 | ||
1Imaging and Biophysics, Developmental Nerosciences, UCL Great Ormond St Institute of Child Health, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom |
||
In 15 homozygous sickle-cell disease patients (SCD; hemoglobin-SS) and 12 healthy controls (HC; 10 Hb-AA, 2 Hb-AS), we compared a quantitative susceptibility mapping (QSM)-based estimate of venous oxygen saturation (Yv) with T2-relaxation-under-spin-tagging (TRUST)-based estimates using bovine-hemoglobin (TRUST-HbBV), hemoglobin-S (TRUST-HbS), or hemoglobin-A (TRUST-HbA) calibrations. Agreement between methods varied, with QSM-Yv estimates in HC and SCD respectively on average 5-6% higher versus TRUST-HbBV, 5% higher and 9% lower versus TRUST-HbS, and 9% higher and 2% lower versus TRUST-HbA. Across all comparisons, the limits of agreement were wide (18-26%) underscoring the need for further studies comparing non-invasive methods with gold-standard jugular vein catheterization. |
| 1639 | Intense Ostium Hemodynamics as the Potential Causes for Delayed Occlusion of Unruptured Sidewall Intracranial Aneurysms by Flow Diverter | |
| Tianhao Su1, Philippe Reymond2, Olivier Brina2, Long Jin1, Karl-Olof Lovblad2, and Maria Isabel Vargas2 | ||
1Interventional radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 2Neuroradiology and Neuro-interventional radiology, University Hospitals of Geneva, Geneva, Switzerland |
||
Flow diverter (FD) has recently been introduced for cerebral aneurysms, especially for the uncoilable sidewall type in the tortuous internal carotid artery (ICA). However, some of treated aneurysms remain patent in clinical practices, probably because of hemodynamic reason. Four-dimensional phase contrast sequences (4D flow MRI) targeting the aneurysm bulge were prospectively performed. The results showed that intense hemodynamic effect at the aneurysmal neck and large ostium might need a longer time for FD induced occlusion. 4D flow MRI before FD procedures has the potential to depict and quantify ostium hemodynamics that could bring new insights in characterizing their treatment responses. |
| 1640 | Hemodynamic changes underpinning the discrepancy of task performance in HIV+ patients | |
| Danhui Fu1, Guanqiao Jin1, Wenjuan Deng1, Weiyin Vivian Liu2, Long Qian2, and Danke Su1 | ||
1GuangXi Medical University Cancer Hospital, Nanning, China, 2MR Research, GE Healthcare, Beijin, China |
||
A bulk of research shows reduced cerebral blood flow is linked to thinning of the cortex and cognitive impairment in dementias and vascular disease while negative relations between functional connectivity and cognition in health are positive in HIV. Our findings of significantly increased CBF in the bilateral middle occipital gyri (MCG) while only left MCG negatively correlated with time for Stroop Color in HIV+ group might underpin that the transition from normal cognition to cognitive impairment in compensation for the abnormal structural and functional alterations. CBF values might reflect hemodynamic differences in HIV+ patients without signs of HIV-associated neurocognitive disorder. |
| 1641 | Cerebral perfusion and oxygen extraction are similar in sickle cell disease patients with hemoglobin SS and hemoglobin S-thalassemia phenotypes | |
| Spencer L. Waddle1, Ifeanyi Ikwuanusi1, Lori C. Jordan1,2,3, Chelsea A. Lee1,2, Niral J. Patel1,2, Sumit Pruthi1, L. Taylor Davis1, Allison Griffin1, Michael R. Debaun4,5, Adetola A. Kassim5, and Manus J. Donahue1,3,6 | ||
1Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Pediatrics, Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Pediatrics, Vanderbilt-Meharry Center for Excellence in Sickle Cell Disease, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Internal Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 6Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, United States |
||
Sickle cell disease (SCD) comprises multiple sickle phenotypes, yet it is assumed that most phenotypes have similar cerebral hemo-metabolic impact, despite differing hematological characteristics. Here, patients (n=120) with the two most common phenotypes, hemoglobin (Hb)-SS and HbSβ0-thalassemia, were evaluated using anatomical, cerebral blood flow (CBF)-weighted, and oxygen extraction fraction (OEF)-weighted 3T MRI. Results suggest that while CBF depends closely on hematocrit, SCD phenotype does not discriminate either CBF or OEF and anatomical findings of prior infarct and vasculopathy were not significantly different between groups. These findings are consistent with HbSβ0 and HbSS phenotypes having similar impact on cerebral hemo-metabolic dysfunction. |
| 1642 | Differential Correlations Between White Matter Microstructure and Perfusion Reveal Microvascular Dysregulation in Sickle Cell Anemia | |
| Soyoung Choi1,2, Chau Vu3, Richard M Leahy4, and John Wood5 | ||
1Neuroscience Graduate Program, University of Southern California, LOS ANGELES, CA, United States, 2Children's Hospital Los Angeles, LOS ANGELES, CA, United States, 3Biomedical Engineering, University of Southern California, LOS ANGELES, CA, United States, 4Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States, 5Division of Hematology, Children's Hospital Los Angeles, Los Angeles, CA, United States |
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Patients with chronic anemia has been shown to be susceptible to structural, functional and cognitive impairments. This study explores differences in white matter microstructure (measured by ADC) and cerebrovascular perfusion patterns (measured by MTT) and their relationship to hemoglobin in patients with sickle cell anemia, non-sickle anemia and controls. Larger ADC values and faster MTT is found along the anterior circulation of the brain in sickle-cell anemic patients. Relationships were found between hemoglobin, ADC and MTT in controls that were not observed in sickle-cell patients possibly indicating microvascular dysregulation. Our observations indicate possible microvascular dysregulation in sickle cell anemic patients. |
| 1643 | Altered Spontaneous Brain Activity in Patients with MELAS at Attack and Remission Stages: Evidence from Resting-state fMRI | |
| Rong Wang1, Yuxin Li1, Jie Lin1, Chong Sun1, Daoying Geng1, and Liqin Yang1 | ||
1Huashan Hospital, Shanghai, China |
||
This is the first study that used resting-state fMRI (rs-fMRI) to assess the alterations of spontaneous neuronal activity in patients with mitochondrial encephalomyopathy, lactic acidosis and stroke-like episodes (MELAS) at attack and remission stages, which may provide a new insight into the mechanisms of cerebral cortex damage in MELAS. |
| 1644 | Characterization of biomechanical properties of cerebral vessels using magnetic resonance elastography | |
| Shengyuan Ma1, Linjie Wang2, Mo Zhu2, Yanle Hu3, Yiping Du1, Joel R. Garbow4, Curtis Johnson5, Chun-hong Hu2, and Yuan Feng1 | ||
1Shanghai Jiao Tong University, Shanghai, China, 2Department of Radiology, The first affiliated hospital of Soochow University, Suzhou, China, 3Mayo Clinic, Phoenix, AZ, United States, 4Washington University in St. Louis, St. Louis, MO, United States, 5University of Delaware, Newark, DE, United States |
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Measurements of the biomechanical properties of the cerebral vessels could help diagnosis and prognosis of diseases such as lacunar infarction. In this study, shear moduli of the cerebral vessels were measured using both magnetic resonance elastography (MRE) and MR Angiography (MRA). The magnitude images from MRE were registered to MRA images to obtain the shear moduli of the cerebral vessels. Results showed significant correlations between age and gender in terms of the storage modulus. Significant differences between lacunar infarction and healthy control group were also observed in terms of the absolution shear modulus. |
| 1645 | Posterior collateral circulation and bypassing perfusion changes after revascularization in Moyamoya disease patients | |
| Chuanying Shi1, Weidong Liu2, Chuanchen Zhang1, Jiheng Hao2, Weiqiang Dou3, Jipeng Wang1, and Jixin Luan1 | ||
1Radiology, Liaocheng people's hospital, Liaocheng, China, 2Neurosurgery department, Liaocheng people's hospital, Liaocheng, China, 3MR Research China, GE Healthcare, Beijing, China |
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In patients with Moyamoya disease, posterior collateral circulation plays an important role in defending ischemic syndrome and good revascularization outcome. The association between bypassing perfusion and posterior collateral circulation remains unknown. This study thus used territory arterial spin labeling to evaluate the territory changes of these vessels. Our results showed that good bypassing perfusion is along with the improvement of posterior collateral perfusion territory. This indicates that good operation outcome was not only associated with poor collateral perfusion, but also related with good collateral vessels functioning as blood channels. |
| 1646 | Physiotherapy-induced changes in brain in post-stroke rehabilitation : a longitudinal MRI study | |
| Rama Jayasundar1, Dushyant Kumar1, Rajesh Mishra1, Govind Maurya1, Priyanka Bhagat2, Surbhi Kaura2, Senthil Kumaran1, and Padma Srivastava2 | ||
1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India |
||
This MRI based study has evaluated for the first time, the cortical structural changes effected by physiotherapy in post-stroke (ischemic) recovery. Patients (n=7) with deficits did physiotherapy for one hour daily for six months under bi-weekly supervision of certified physiotherapists. Pre- and post-physiotherapy intervention assessment involved NIHSS and mRS scores and MRI at 3T. The latter included 3D-T1, 3D-FLAIR and fMRI (motor task). Preliminary findings showed individual patients’ positive response to physiotherapy reflected in the significantly reduced NIHSS and increased mRS scores, the recovery of fMRI activation and increase in cortical gray matter volume in specific anatomical locations in brain. |
| 1647 | The Capability of Contrast-enhanced T1-weighted MR Imaging for Quantifying Ivy Sign in Moyamoya Disease: compared with FLAIR | |
| Liu-Xian Wang1, Hui Wang2, Jin-Hao Lyu1, Fang-Bin Hao2, Lian Duan2, and Xin Lou1 | ||
1The First Medical Center of Chinese PLA General Hospital, Beijing, China, 2The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China |
||
Previous study has reported superiority of contrast-enhanced T1-weighted MR (CEMR) imaging compared with FLAIR for depicting ivy sign in Moyamoya disease (MMD), but no quantitative comparison of both scoring modalities was performed. In this study, we found better consistency between CEMR and DSA, higher ability of CEMR to differentiate severity of MCA stenosis, as well as higher specificity of CEMR compared with FLAIR. Our study proposed that for chronic cerebrovascular disease like MMD, CEMR might be more appropriate in assessing leptomeningeal collaterals. |
| 1648 | Deep learning based Ischemic core prediction from perfusion-weighted imaging in acute ischemic stroke | |
| Yannan Yu1, Yuan Xie1, Thoralf Thamm1, Enhao Gong1, Jiahong Ouyang1, Soren Christensen1, Michael P Marks1, Maarten G Lansberg1, Gregory W Albers1, and Greg Zaharchuk1 | ||
1Stanford University, Stanford, CA, United States |
||
Ischemic core of acute ischemic stroke is commonly defined by diffusion-weighted imaging (DWI). CT perfusion, although widely used for acute stroke triaging, is challenging to identify the ischemic core as precise as DWI. In this study, we predicted the DWI lesion from MR perfusion-weighted imaging using U-Net. We found U-net model can predict the ischemic core from perfusion imaging with a better performance compared to clinically-used relative cerebral blood flow map thresholding. In the future study, we will apply the model to patients underwent CT perfusion using transfer learning. |
| 1649 | MRI features of cerebral small vessel disease in patients with systemic lupus erythematosus | |
| Yiwei Che1, Yanwei Miao1, Yuhan Jiang1, Peipei Chang1, and Lizhi Xie 2 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Department of Radiology, GE healthcare, Beijing, China |
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Systemic lupus erythematosus (SLE) is a diffuse connective tissue disease, which can involve the nervous system, and cerebrovascular damage is the most common. Yet, the relationship between SLE and Cerebral small vessel disease (CSVD) are still not clear. The following study evaluated the MRI findings of enlarged perivascular space (EPVS), white matter hyperintense (WMH) and lacunes of CSVD in patients with SLE. The results showed that CVSD in SLE group was more serious than healthy normal control group, and complement C3 and disease duration were the influencing factors on the development of CSVD in SLE patients. |
| 1650 | Whole-Brain Brain Oxygen Metabolism in Adult Sickle-Cell Patients Using Two Different Quantitative MRI Approaches | |
| Seyed Ali Nabavizadeh1, Sanjeev Chawla1, Pei-Hsin Wu1, Ana Rodriguez-Soto2, Erin Englund2, Michael C Langham1, Farzana Sayani1, Eric Russell1, and Felix W Wehrli1 | ||
1University of Pennsylvania, Philadelphia, PA, United States, 2University of California San Diego, La Jolla, CA, United States |
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Silent cerebral infarcts are the most common neurologic injury in patients with sickle cell disease (SCD). In this study, we compared T2 -relaxation under spin tagging (TRUST) and susceptibility-based oximetry (SBO) techniques in a cohort of SCD patients compared to healthy control subjects. We observed opposite trends in oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen (CMRO2) in SCD patients compared to controls using TRUST and SBO methods. High OEF measured by TRUST technique lead to very high supraphysiologic CMRO2 values. We conclude that SBO method is more reliable in measuring OEF and CMRO2 in patients with SCD. |
| 1651 | Measuring blood velocity pulsations in tortuous lenticulostriate arteries:1D versus 3D velocity-encoded imaging at 7T | |
| Marieke van den Kerkhof1,2, Jacobus F.A. Jansen1,2,3, Robert J. van Oostenbrugge2,4,5, and Walter H. Backes1,2 | ||
1Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 4Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, 5Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, Netherlands |
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Recently developed 2D phase-contrast sequences showed the feasibility of measuring the small lenticulostriate arteries with 7T MRI. However, these vessels are known to be tortuous, and their tortuosity generally increases with aging and in vascular disease. Therefore, we aimed to measure the blood flow velocity not only in one direction, but in three directions, to capture all three velocity components. We found significant components for the other two, less conventional, velocity directions, which resulted in a lower pulsatility index and peak acceleration when comparing to the 1D measurements. |
| 1652 | One-stop-shop Carotid Pulse Wave Velocity (cPWV) Using a Single-slice 2D Phase-Contrast MRI | |
| Soroush Heidari Pahlavian1,2, Xiaoming Bi3, Samantha Ma1,2, Helena Chui2, Danny J.J. Wang1,2, and Lirong Yan1,2 | ||
1USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, University of Southern California, Los Angeles, CA, United States, 3Siemens Medical Solutions USA Inc., Los Angeles, CA, United States |
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The association between increased cerebrovascular risk factors induced arterial stiffness, and age-related neurodegenerative disorders has been demonstrated in multiple studies. In this study, we evaluated the utility of single-slice two–dimensional (2D) phase-contrast MRI (PC-MRI) to assess arterial stiffness by calculating the carotid pulse wave velocity (cPWV) along the common carotid artery (CCA) and internal carotid arteries (ICA) within a single two-minute scan. Our results demonstrated the feasibility of cPWV measurement using single-slice 2D PC-MRI and indicated a positive correlation between cPWV and arterial damping factor. 2D PC-MRI-measured cPWV holds potential as biomarker to quantify age-related alterations in arterial stiffness. |
| 1653 | Variation in blood-flow pulsatility and arterial distensibility along the internal carotid artery | |
| Rick J van Tuijl1, Ynte M Ruigrok2, Birgitta K Velthuis1, Irene C van der Schaaf1, Gabriël J. E. Rinkel2, and Jaco J.M. Zwanenburg1 | ||
1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, UMC Utrecht, Utrecht, Netherlands |
||
Velocity pulsatility and area distensibility variation along the internal carotid artery (ICA) trajectory were studied with 2D phase-contrast flow measurements (118 subjects; 3T MRI). Results showed a more complicated behavior than just progressive pulsatility decrease along the ICA towards the circle of Willis. The bony carotid canal appears to constrain the distensibility of the ICA, yielding locally increased velocity pulsatility. Velocity pulsatility was significantly higher in men compared to women and increased with ageing. This age-related increase was strongest just proximal to the circle of Willis, indicating reduced damping of the pulsatility along the ICA with age. |
| 1654 | New Predict Parameter of Prognosis on Hyperacute Cerebral Infarction Evaluated by Multi-delay pCASL Imaging | |
| Masafumi HARADA1, Takashi ABE1, Moriaki YAMANAKA1, Tomoki MATSUSHITA1, Yasushi TAKAGI2, Yuishin IZUMI3, Marc R Lebel4, and Mitsuharu Miyoshi5 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Neurosurgery, Tokushima University, Tokushima, Japan, 3Department of Neurology, Tokushima University, Tokushima, Japan, 4GE Healthcare, Calgary, AB, Canada, 5GE Healthcare, Hino, Japan |
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The purpose of this study was to find a prognostic perfusion parameter to predict the enlargement of acute cerebral infarction. The prognostic parameter of the enlargement ratio (ER) was only mean delay transit time (DT) in all perfusion parameters, and the tendency was different depending on the existence of recanalization or not. DT obtained by multi-delay ASL may become a better prognostic index of acute cerebral infarction than the mismatch area between the infarction core and ischemic penumbra. |
| 1655 | Multi-modal assessment of cerebrovascular reactivity by multiband BOLD and multidelay ASL in moyamoya patients using acetazolamide | |
| Pieter T Deckers1, Alex A Bhogal2, Lisa A van der Kleij2, Mathijs BJ Dijsselhof2, Kees PJ Braun3, Jeroen CW Siero2, and Albert Van der Zwan1 | ||
1Neurosurgery, UMC Utrecht, Utrecht, Netherlands, 2Radiology, UMC Utrecht, Utrecht, Netherlands, 3Pediatric Neurology, UMC Utrecht, Utrecht, Netherlands |
||
Measuring the cerebral blood flow and cerebrovascular reactivity is vital in the preoperative assessment of moyamoya patients. We propose a combination of continuous multiband BOLD-MRI and multidelay ASL-MRI with acetazolamide as a comprehensive multi-modal alternative for the current commonly used PET-CT method. Eight female patients (age 8-41) were scanned at 3T with a ±30 min scan protocol, which is also suitable for patients scanned under general anesthesia. The obtained reactivity maps of the two sequences showed good agreement for severity and location of hemodynamic impairment. This accessible MRI method is directly suitable for routine clinical evaluation of moyamoya patients. |
| 1656 | Prediction of severe stenosis at the unilateral proximal internal carotid artery by intracranial MR angiography | |
| Kentaro Akazawa1, Masashi Yasuike2, Koji Sakai1, Chisa Bamba1, Jun Tazoe1, Nagara Tamaki1, and Kei Yamada1 | ||
1Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan, 2Radiology, Kyoto Yamashiro General Medical Center, Kizugawa, Japan |
||
The proximal internal carotid artery (pICA) stenosis is an important cause of ischemic cerebrovascular disease. We evaluated the predicting power to identify unilateral pICA stenosis based on the intracranial 3D time of flight MR angiography (MRA) with multi-slab acquisition used in daily clinical practice by a quantitative assessment of the asymmetry in the middle cerebral artery (MCA). The result revealed that the MCA volume ratio of subjects were significantly lower than controls and the accuracy, sensitivity and specificity to identify subjects were 0.71, 0.71 and 0.88. The quantitative evaluation on intracranial MRA may provide additional information to unilateral pICA stenosis. |
| 1657 | Evaluating collateral circulation and its association with clinical outcomes in patients with ischemic stroke using random vessel-encoded ASL | |
| Xiaoyue Ma1,2, Yan Wang1,2, Fengshan Yan1,2, Xianchang Zhang3, Lirong Yan4, and Meiyun Wang1,2 | ||
1Radiology, Henan Provincial People's Hospital, Zhengzhou, China, 2Henan Key Laboratory of Neurological Imaging, Zhengzhou, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 4Stevens Neuroimaging Informatics Institute, Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
||
This study aimed to explore the clinical value of random vessel-encoded arterial spin labeling (rVE-ASL) in evaluating the collateral status as well as its association with clinical outcomes in patients with ischemic stroke. Results suggested that the rVE-ASL findings were consistent with DSA/CTA findings in characterizing collateral flows and poor collateral flows evaluated by rVE-ASL were associated with poor outcomes. The rVE-ASL could be a potentially useful tool to assess the cerebral collateral circulation in patients with ischemic stroke and predict the clinical outcome. |
| 1658 | Visualizing the Lumen and Wall of Intracranial Artery Stenosis Before and After StentingUsing High Resolution MRI Vessel Wall Imaging | |
| Bing Tian1, Xia Tian2, Zhang Shi2, Qi Liu2, and Jianping Lu2 | ||
1Radiology, Changhai hospital, Shanghai, China, 2Changhai hospital of Shanghai, Shanghai, China |
||
HR-MRI provides important insights of assessing both vessel lumen and wall inintracranial artery stenosis disease. |
| 1659 | Cerebral perfusion territory changes after artery recanalization in unilateral MCA stenosis disease: a territory arterial spin labeling study | |
| Xinyu Wang1, Xinyi Wang2, and Weiqiang Dou3 | ||
1Medical imaging, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan，Shandong, China, 2Medical imaging, The First Affiliated Hospital of Shandong First Medical University, Jinan，Shandong, China, 3MR Research China, GE Healthcare, Beijing, China |
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In this study, the main purpose was to explore the clinical value of territory arterial spin labeling （T-ASL） in assessing perfusion changes after unilateral middle cerebral artery （MCA）recanalization. We included 15 patients diagnosed by Digital Substraction Angiography（DSA） with unilateral MCA stenosis, T-ASL examination was performed before and after surgery. Patients showed significantly different reperfusion areas between pre- and post-operations, and some had hyperperfusion displacement in the major cerebral arterial blood supply area. Therefore, T-ASL technique can be used as a valuable method to evaluate the effect of vascular recanalization accurately. |
| 1660 | The application of High-Resolution Vessel Wall MRI(HR-VW-MRI) in determining the stability of intracranial MCA and BA plaques | |
| Hongwei Zhou1, Dezheng Kong1, and Tianjing Zhang2 | ||
1Jilin University First Hospital, Changchun, China, 2Philips healthcare, Guangzhou, China |
||
The stability of intracranial of the middle cerebral artery(MCA) and basilar artery( BA) plaques related to the stroke events is a crucial issue. However, the discrimination of the plaque’s stability could be rather challenging. Compared with traditional imaging methods such as CTA, MRA or DSA, high-resolution vessel wall MR imaging(HR-VW-MRI) method could demonstrate the abnormality of the vessel wall .It could also potentially evaluate the stability of the intracranial artery. This study aims to compare HR-VW-MRI’s characteristic features of MCA plaque with BA plaque, and to figure out the relationship between plaques’ imaging features with the stroke events |
| 1661 | Toward the hemodynamic analysis of Moyamoya disease using ultra-fast DCE-MRI by GRASP | |
| Koji Fujimoto1, Yasutaka Fushimi2, Takeshi Funaki3, Satoshi Nakajima2, Yusuke Yokota2, Sonoko Oshima2, Sayo Otani2, Azusa Sakurama2, Krishna Wicaksono Pandu2, Tomohisa Okada1, and Kaori Togashi2 | ||
1Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan, 3Department of Neurosurgery, Kyoto University, Kyoto, Japan |
||
One subject with Moyamoya disease was scanned with radial vibe sequence. GRASP reconstruction was performed using different number of spokes/frame. ROI-based analysis performed to compare the maximum slope for each ROI placed in the vessels showed that the faster imaging gave the larger slope, but the blurring at the corner of TIC is seen at the higher temporal resolution. By using images with 5 spokes/frame, voxel-by-voxel analysis could create the arrival map and the maximum slope map. |
| 1662 | Application of high-resolution 3D vessel wall MR(3D VW-MR) imaging in Primary Angiitis of the Central Nervous System | |
| Hong-Wei Zhou1, Dezheng Kong1, and Tianjing Zhang2 | ||
1Jilin University First Hospital, Changchun, China, 2Philips healthcare, Guangzhou, China |
||
Primary angiitis of the central nervous system(PACNS) is a kind of rare disease, but the clinical diagnosis is difficult. Recently, high-resolution HR-3D-VW-MRI(3-dimensional vessel wall MR imaging) method has been used to evaluate cerebral vessels because it could directly show the vessel wall as well the lumen; thus it can assist in differentiating various types of vasculopathy. The purpose of our study was to summarize the typical imaging performance of PACNS and evaluate the value of 3D- VW-MRI sequence in demonstrating the detailed information in detection, diagnosis, evaluation, and follow-up for PACNS. |
| 1663 | Using Arterial Spin Labelling to measure cerebral blood flow during sleep | |
| Balazs Orzsik1, Iris Asllani2, Mara Cercignani2, and Neil Harrison3 | ||
1University of Sussex, Brighton, United Kingdom, 2Department of Neuroscience BSMS, University of Sussex, Brighton, United Kingdom, 3CUBRIC, University of Cardiff, Cardiff, United Kingdom |
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Cerebral blood flow during awake and pharmacologically induced sleep was investigated with arterial spin labeling imaging in healthy young volunteers. Participants were scanned after a good night sleep and in a separate session after 24h sleep deprivation. Participant received 10mg Zolpidem after the sleep deprivation to maximize sleep in the scanner. There was a significant reduction in cerebral blood flow in the sleep condition compared to awake. The most prominent changes were observed in the Thalamus, cerebellum, posterior cingulate gyrus, these areas stayed significant after family wise error correction at a cluster level. |
| 1664 | Quantitative evaluation of magnetic susceptibility effects in carotid artery CE-MRA with different injected flow rate of contrast medium | |
| Liu Xiaoming1, Kong Xiangchuang1, Lei Ziqiao1, Zhang Xiaoyong2, and Liu Dingxi1 | ||
1Departments of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaborations, Siemens Healthcare Ltd, Shenzhen, China |
||
Contrast-enhanced magnetic resonance angiography (CE-MRA) is the main modality used for assessing carotid artery stenosis in the vessel lumen, but limited to the susceptibility artifact, which would result in artifactual stenosis of artery adjacent to the subclavian vein on the injection side of contrast medium. This study aims to explore the quantitative influence of different injected flow rates of contrast medium on the susceptibility effect in the subclavian arterial image of CE-MRA on a 3T MR scanner. The result indicated that the magnetic susceptibility artifact can be reduced by improving the injection speed of contrast agent |
| 1665 | Fully Automated Intracranial Vessel Angiogram Segmentation from 4D flow MRI Data in Intracranial Stenosis Patients using Deep Learning | |
| Haben Berhane1, Maria Aristova2, Yue Ma2, Michael Markl2, and Susanne Schnell3 | ||
1Lurie Children's Hospital of Chicago, Chicago, IL, United States, 2Northwestern University, Chicago, IL, United States, 3University of Greifswald, Chicago, IL, United States |
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We developed and validated a convolutional neural network for the fully automated 3D segmentation of the cerebral vasculature from 4D flow MRI for rapid flow analysis. Using 53 4D flow MRI scans, including 16 patients with intracranial atherosclerotic disease, we trained and tested our CNN using 10-fold cross validation. We assessed net flow and peak velocities across all of the major arteries and veins of the intracranial vasulature between automated and manually performed analysis. Across all metrics and regions, we found the automated segmentation showed excellent agreement with the manual, while taking a fraction of the time to perform. |
| 1666 | White matter hyperintensity features in Neuropsychiatric Systemic Lupus Erythematosus: a retrospective case-control study. | |
| Francesca Inglese1, Myriam G. Jaarsma-Coes1, Gerda M. Steup-Beekman2, Tom Huizinga2, Mark A. van Buchem1, Itamar Ronen1, and Jeroen de Bresser1 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Department of Rheumatology, Leiden University Medical Center, Leiden, Netherlands |
||
Systemic Lupus Erythematosus (SLE) often presents with neuropsychiatric (NP) symptoms. These symptoms can be directly associated with SLE (NP-SLE) or not (non-NP-SLE). We investigated whether white matter hyperintensity (WMH) features (such as type, volume and shape) may contribute to the diagnosis of NP-SLE. Patients with NP-SLE more often had deep WMH (DWMH) compared to patients with non-NP-SLE. There were no significant differences in WMH volume and shape features between NP-SLE patients compared to non-NP-SLE patients. In conclusion, NP-SLE patients more often had DWMH compared to non-NP-SLE patients and this may help in the diagnostic process of NP-SLE. |
| 1667 | Cerebral Neurovascular Coupling Altered in Patients with Narcolepsy | |
| YuTing Li1 | ||
1Department of Radiology, Tangdu Hospital， Fourth Military Medical University, Xian，ShanXi province, China |
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Our purpose is to find the cerebral neurovascular coupling altered in patients with narcolepsy.It was reported that Multifunctional MRI can explore the relationship between cerebral vascular perfusion and neural activity. And we found decreased NVC in right and left precentral gyrus, left occipital gyrus, left postcentral gyrus, left fusiform gyrus and right amygdala |
| 1668 | MRI for studying yoga-induced cortical structural changes in stroke patients | |
| Dushyant Kumar1, Rajesh Mishra1, Govind Maurya1, Chahat Kumar2, Priyanka Bhagat2, Padma Srivastava2, and Rama Jayasundar3 | ||
1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 3DEPARTMENT OF NMR, ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI, India |
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This MRI study has evaluated for the first time, the structural changes effected by yoga in post-stroke (ischemic) recovery. Patients (n=6) with deficits practiced Hatha yoga for one hour daily for six months under the supervision of certified yoga trainers. Pre- and 6 months post-yoga intervention assessment involved assessment of NIHSS score and 3D-T1 MRI at 3T MR. Results show individual patients’ positive response to yoga reflected in the significantly reduced NIHSS scores, and in the increased gray matter volume in some areas in brain. |
| 1669 | Non-uniform Brain Temperature in Healthy Subjects | |
| Wen-Ching Liu1, Timothy Linghau Chen2, Kyler Shin2, and David Wang3 | ||
1Radiology, OSF Saint Francis Medical Center, Peoria, IL, United States, 2Medicine, University of Illinois College of Medicine at Peoria, Peoria, IL, United States, 3Neurology, Barrow's Neurological Institute, Phoenix, AZ, United States |
||
In order to establish the standard brain regional temperatures in normal and healthy people, we initiated a weekly MR spectroscopy quality assurance program, developed the single voxel MRS thermometry calibration curve with a MRS phantom and scanned 10 normal and healthy right handed men. Five region of interests, hypothalamus, cerebellum, thalamus, frontal lobe, and occipital lobe are selected. Interestingly we found a non-uniform temperature distribution in these ROIs. The hypothalamus and thalamus have the highest temperature while cerebellum has the lowest. |
| 1670 | White Matter Alterations in Patients with End-Stage Renal Disease: A Diffusion Tensor Imaging Study | |
| Yiwei Che1, Yanwei Miao1, Yuhan Jiang1, Peipei Chang1, Bingbing Gao1, Qingwei Song1, Ailian Liu1, Jiazheng Wang2, and Yanling Wu2 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
End-stage renal disease (ESRD) has become risk factor for vascular disease, stroke and cognitive dysfunction, and the white matter lesions may be associated with these adverse outcomes. Silent white matter alterations may occur in the earlier stages, whereas conventional MR imaging may not be found, This study aim to detect subtle white matter alterations in patients with ESRD through diffusion tensor imaging (DTI). DTI can reflect early occult white matter damage in ESRD patients. |
| 1671 | Brain atrophy was a risk factor for neurocognitive impairment in hemodialysis patients: a longitudinal voxel-based morphological study | |
| Huiying Wang1,2, Chao Chai3, and Shuang Xia3 | ||
1Radiology, Tianjin First Central Hospital；Tianjin Medical Imaging Institute, Tianjin,, Tianjin, China, 2Qinghai University Affiliated Hospital, QingHai, China, 3Tianjin First Central Hospital；Tianjin Medical Imaging Institute, Tianjin,, Tianjin, China |
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This study aimed to demonstrate the longitudinal changes of brain volume in hemodialysis, and the relationship between brain volume and cognitive function. Thirty-three hemodialysis patients and thirty healthy controls (HCs) were recruited to this study. All patients underwent MR examinations to evaluate baseline and follow-up brain volume. Compared to the HCs, patients showed decreased gray matter (GM) volume and white matter (WM) volume. Compared to baseline patients, follow-up patients showed decreased GM volume and WM volume. The decreased left caudate volume was positively correlated with reduced neuropsychological scores in patients. Brain atrophy occurred in hemodialysis patients, leading to neurocognitive impairment. |
| 1672 | Longitudinal study on changes of regional cerebral blood flow in patients maintaining hemodialysis | |
| Huiying Wang1,2, Chao Chai1, and Shuang Xia1 | ||
1Tianjin First Central Hospital；Tianjin Medical Imaging Institute, Tianjin,, Tianjin, China, 2Qinghai University Affiliated Hospital, QingHai, China |
||
This was the first study focused on longitudinal CBF changes of ESRD patients with regular hemodialysis. This study used noninvasive pulsed arterial spin labeling technique to provide evidence for clinical evaluation of the changes in cerebral hemodynamics in hemodialysis patients. |
| 1673 | Abnormality of insular functional connectivity in uremic restless legs:a resting state functional magnetic resonance study | |
| DUN DING1,2, Xueying Ma2,3, Peng Li4, Pan Zhang5, and Ming Zhang6 | ||
1The Second affiliated hospital of Xi'an JiaoTong Uuniversity, Xi'an, China, 2The second affiliated hospital of Xi 'an JiaoTong Uuniversity, Xi'an, China, 3The First affiliated hospital of Neimenggu medical Uuniversity, Hohhot, China, 4The first affiliated hospital of Xi'an JiaoTong Uuniversity, Xi'an, China, 5The second affiliated hospital of Xi'an JiaoTong Uuniversity, Xi'an, China, 6The First affiliated hospital of Xi'an JiaoTong Uuniversity, Xi'an, China |
||
Uremic Restless Leg Syndrome (uRLS) is an uncomfortable complication of inferior limbs and involuntary movements in patients with end-stage renal disease during maintenance of insular, especially during sleep breaks. As an important information processing and processing area, the insular play an important role in sensory, motor metabolism, sensorimotor information processing,and mood regulation. Through this study,We found that the altered morphology of post insular was revealed in uRLS patients, abnormal sensorimotor activities in patients with RLS is closely associated with reduced functional connectivity of insular-S1.Low hemoglobin level was the most important risk factor related to brain functional connectivity feature. |
| 1674 | Thalamic structural connectivity abnormalities in minimal hepatic encephalopathy: a probabilistic tractography study | |
| Hua-Jun Chen1, Tian-Xiu Zou1, and Nao-Xin Huang1 | ||
1Fujian Medical University Union Hospital, Fuzhou, China |
||
Minimal hepatic encephalopathy (MHE) is characterized by a series of cognitive impairments. Thalamus is a critical pathological node of MHE. Thus, we applied probabilistic tractography to investigate the thalamic fiber pathway alterations in MHE, for the first time. The thalamic structural connection was disturbed in MHE patients (reflected by decreased CS/FA and increased MD/AD/RD). Abnormal thalamic connection primarily involved prefrontal cortex, sensorimotor cortex, parietal cortex, medial temporal cortex and hippocampus, and striatum. Thalamic connectivity abnormalities deteriorated with disease progression and correlated with patients’ impaired neuropsychological performance. The disturbed thalamic connectivity can serve as biomarker for diagnosis of MHE. |
| 1675 | Investigation of chemotherapy-induced brain volume and shape change in breast cancer women | |
| Yi-Fang Wu1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai4, and Jun-Cheng Weng1,3,5 | ||
1Department of Medical Imaging and Radiological Sciences, 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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Adjuvant chemotherapy has been associated with cognitive impairment among a subgroup of breast cancer patients. A limited number of studies have observed the relationship between adjuvant chemotherapy, post-traumatic stress disorder (PTSD) and structural brain changes. Therefore, we employed voxel-based morphometry (VBM) and vertex-wise shape analyses to find the differences in brain volume and shape among pre- and post-chemotherapy breast cancer patients and healthy subjects. Our results showed gray and white matter volume alterations in frontal and temporal brain regions among each group. We also observed the change of shape in the limbic system. |
| 1676 | Relationship between GluCEST concentration and Perivascular Spaces (glia-lymphatic waste clearance pathways) at 7T in Acute Ischemic Stroke | |
| Benjamin Sinclair1,2, John-Paul Nicolo1,2,3,4, David Wright1, Bradford Moffat5, Andrew Neale1,2,3,4, Nian Yu6,7, Elaine Lui8,9, Patricia Desmond8,9, Rebecca Glarin8,9, Kathryn Davis10, Ravi Prakash Nanga11, Ravinder Reddy11, Farshid Sepehrband12, Bernard Yan3,4, Scott Kolbe1, Patrick Kwan1,2,3,4, Terence J O'Brien1,2,3,4, and Meng Law1,6 | ||
1Department of Neuroscience, Monash University, Melbourne, Australia, 2Department of Neurology, Alfred Hospital, Melbourne, Australia, 3Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia, 4Department of Medicine, University of Melbourne, Melbourne, Australia, 5Melbourne Node of the National Imaging Facility, Department of Radiology, University of Melbourne, Melbourne, Australia, 6Department of Radiology, Alfred Hospital, Melbourne, Australia, 7Department of Radiology, The Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China, 8Department of Radiology, Royal Melbourne Hospital, Melbourne, Australia, 9Department of Radiology and Medicine, University of Melbourne, Melbourne, Australia, 10Penn Epilepsy Center, Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States, 11Center for Magnetic Resonance & Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 12USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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In this pilot study we test the hypothesis that glutamate levels post-stroke are influenced by glia-lymphatic clearance pathways in the brain. Excess glutamate can be neurotoxic, and stroke is associated with focally elevated gluatamate concentrations. Perivascular spaces have recently been found to play a role in waste clearance in the brain, and often become enlarged when compromised. We used Chemical Exchange Saturation Transfer (CEST) imaging at 7T to characterise glutamate concentrations, and found that they were moderately positively correlated with scores of enlarged pervivascular spaces. |
| 1677 | Choroid plexus and gray matter perfusion dissimilarity in patients with cerebrovascular disease: implications for CSF dynamics and glymphatics | |
| Skylar E Johnson1, Colin McKnight1, Spencer Waddle1, Maria Garza1, Lori C Jordan1,2,3, Daniel O Claassen3, and Manus J Donahue1,3,4 | ||
1Radiology and Radiological Sciences, Vanderbilt University School of Medicine, Nashville, TN, United States, 2Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, United States, 3Neurology, Vanderbilt University School of Medicine, Nashville, TN, United States, 4Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, United States |
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The goal of this study is to investigate whether choroid plexus (CP) activity, quantified as perfusion measured from arterial spin labeling, is altered in patients with cerebrovascular disease. Cohorts comprised arterial intracranial stenosis (n=56), sickle cell disease (n=41), and healthy controls (n=31). In controls and stenosis patients, CP and gray matter perfusion were similar; in patients with sickle cell disease, CP-to-gray matter perfusion was reduced (p<0.001) relative to other cohorts. This finding is discussed in the context of how efficient CSF perivascular flow surrounding dilated arterial spaces may require reduced CSF production activity to subserve waste clearance. |
| 1678 | Continuous Golden-Angle Spiral Acquisition as a Flexible Tool for Studying CSF Flow Dynamics | |
| Daniel D Borup1, Sandeep K Ganji2, Petrice Mostardi Cogswell1, and James G Pipe1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Philips Healthcare, Gainesville, FL, United States |
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The use of a 2D golden-angle spiral trajectory is demonstrated for the measurement of CSF flow at the cerebral aqueduct and foramen magnum. The results compare favorably with a standard cardiac-gated Cartesian scan when retrospectively binned using the cardiac waveform. The spiral data also show variation in the CSF flow waveforms across the respiratory cycle and can be reconstructed as a time-resolved image series for spectral analysis of the flow dynamics. |
| 1679 | Mesoscopic imaging of perivascular spaces at 7T | |
| Farshid Sepehrband1, Samantha Ma2, Jeiran Choupan2, Sook-Lei Liew2, and Arthur W Toga2 | ||
1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, USC, Los Angeles, CA, United States, 2USC, Los Angeles, CA, United States |
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Imaging of the perivascular spaces (PVS) is of growing interest, especially due to its involvement in brain clearance and blood-brain barrier exchange [1]–[3]. PVS mapping is often limited to macroscopic PVS (>1mm), which limits the study of subtle morphological PVS alteration that is expected to occur in submillimeter resolution. Here we show the advantage of ultra-high field imaging for detailed quantification of PVS in vivoand noninvasively. |
| 1680 | WMH and PVS mapping from clinical data using semi-supervised multi-modal convolutional neural network | |
| Farshid Sepehrband1, Giuseppe Barisano2, Hyun-Joon Yang2, Jeiran Choupan2, and Arthur W Toga2 | ||
1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, USC, Los Angeles, CA, United States, 2USC, Los Angeles, CA, United States |
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Perivascular space (PVS), also known as Virchow-Robin space, is a pial-lined, fluid-filled structure that surrounds vessels in the cerebral cortex [1], [2], and occupies a large portion of the cerebral tissue. While PVS mapping becomes more clinically relevant, separation of PVS from white matter hyperintensities (WMH) make it challenging to map PVS on clinical data. Here we present a semi-supervised multi-modal approach to extract both PVS and WMH using T1w and FLAIR image modalities automatically. We also evaluated multi-site, multi-vendor reliability of the technique. |
| 1681 | Cerebrospinal fluid flow measurement using alternate ascending/descending directional navigation (ALADDIN) | |
| Jun-Hee Kim1, Seung Hong Choi2, and Sung-Hong Park1 | ||
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea, Republic of |
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Imaging in-vivo movement of cerebrospinal fluid can be applied not only to diagnose the CSF disorders like hydrocephalus, but also to visualize and evaluate the CSF circulation for the clearance. In this study, we used single phase and multiphase alternate ascending/descending directional navigation (ALADDIN) to image the overall, dynamic CSF flow pattern. Single phase ALADDIN showed overall bulk flow of CSF, and multiphase ALADDIN showed dynamically‑tracked signals of labeled CSF. We expect that ALADDIN can be applied to study CSF circulation and clearance disorders. |
| 1682 | Cerebral hemodynamics and CSF flow in patients with disorders of cerebrospinal fluid circulation | |
| Andrey Tulupov1 and Olga Bogomyakova1 | ||
1Laboratory of neuroscience, The Institute International Tomography Center of the Russian Academy of Sciences, Novosibirsk, Russian Federation |
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In this work we study the most momentous disturbances of hemo- and cerebrospinal fluid dynamics in patients with idiopathic intracranial hypertension (IIH) and idiopathic non-obstructive hydrocephalus (INH). It is shown that ICC, AVD and PI are perspective diagnostic criteria for functional brain diseases, associated with disturbances in hemo- and cerebrospinal fluid dynamics. |
| 1683 | Venous disruption affects white matter integrity through increased interstitial fluid in cerebral small vessel disease | |
| Ruiting Zhang1, Peiyu Huang1, and Minming Zhang1 | ||
1The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China |
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We aimed to investigate whether and how venous disruption was related to white matter damage in cerebral small vessel disease(CSVD) patients. SWI was used to investigate venous disruption. Free water elimination DTI model was used to analyze interstitial fluid fraction(fraction of free water, fFW) and white matter integrity(tissue fractional anisotropy, FAt). In 104 CSVD patients, venous disruption was associated with FAt, and the effect was mediated by fFW. This relationship was independent of arterial cerebral blood flow. In conclusion, we discovered the venous disruption - increased interstitial fluid - white matter damage link in CSVD patients. |
| 1684 | Mechanical response of the brain to shunt placement in normal pressure hydrocephalus | |
| Matthew C Murphy1, Petrice M Cogswell1, Joshua D Trzasko1, Armando Manduca1, Matthew L Senjem1, Fredric B Meyer1, Clifford R Jack, Jr.1, Richard L Ehman1, and John Huston, III1 | ||
1Mayo Clinic, Rochester, MN, United States |
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Normal pressure hydrocephalus (NPH) is a neurological disorder characterized by abnormal gait, cognitive decline, and urinary incontinence. The hypothesized role of biomechanics in NPH pathogenesis supports a potential role for magnetic resonance elastography (MRE) in diagnosis and prediction of response to therapy. In this study, MRE was performed in 13 NPH patients before and after shunt placement to test the hypothesis that treatment would reverse NPH-driven changes to the brain’s mechanical properties. We observed that increased stiffness and decreased damping ratio at the vertex were largely reversed by shunting, while periventricular white matter softening was unaffected. |
| 1685 | Association of cerebral microbleeds and blood-brain barrier function in patients with different severity levels of dementia | |
| Szu-Hsuan Yu1, Wei-Chi Li1, Jiun Wei Chen2, Hong-Yuan Mark Liao2, Feng-Chi Chang3, Chih-Ping Chung4,5,6, Jong-Ling Fuh6,7,8, and Li-Fen Chen1,8,9,10 | ||
1Institute of Brain Science, School of Medicine, National Yang-Ming University, Taipei, Taiwan, 2Institute of Information Science, Academia Sinica, Taipei, Taiwan, 3Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, 4Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan, 5Department of Neurology, National Yang Ming University, Taipei, Taiwan, 6Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 7Faculty of Medicine, National Yang-Ming University School of Medicine, Taipei, Taiwan, 8Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 9Integrated Brain Research Unit, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, 10Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan |
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The contributions of blood vessels impairment to dementia are increasingly recognized, but the relationships between microbleeds and blood–brain barrier (BBB) in dementia patients are still unclear. We recruited subjects with Alzheimer’s disease (AD), mild cognitive impairment (MCI), subjective cognitive decline (SCD), and healthy control (HC). The susceptibility weighted images and dynamic contrast-enhanced images were acquired to detect cerebral microbleeds and to estimate BBB integrity. Our results showed high risk with BBB breakdown in AD patients with cerebral microbleeds, which suggests the association between neurovascular unit dysfunction and blood vessel impairment may be a biomarker for the progression of dementia. |
| 1686 | Enlarged Perivascular Spaces in Older Adults: Segmentation by Deep Learning; Correlations with Neuropathology and Cognitive Decline | |
| Carles Javierre Petit1, Ashish A. Tamhane2, Arnold M. Evia1, Nazanin Makkinejad1, Gady Agam3, 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, 3Computer Science, Illinois Institute of Technology, Chicago, IL, United States |
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Enlarged perivascular spaces (EPVS) are common in aging and have been linked to increased risk of stroke, lower cognitive function, and vascular dementia. However, the neuropathologic correlates of EPVS, as well as the contributions of EPVS to cognition, are not well understood. In this work, we first developed a deep-learning algorithm for automatic segmentation and full quantification of whole brain and regional EPVS, and then studied the neuropathologic correlates of EPVS as well as the contributions of EPVS on cognition in a large community-based cohort of older adults. |
| 1687 | Investigating CSF Flow in Amnestic Mild Cognitive Impairment: A Preliminary Report | |
| Arun Venkataraman1, F. Vankee Lin2, Rashid Deane3, and Jianhui Zhong4 | ||
1Physics, University of Rochester, Rochester, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Neuroscience, University of Rochester, Rochester, NY, United States, 4Imaging Sciences, University of Rochester, Rochester, NY, United States |
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Amnestic MCI (aMCI) is a prodromal stage to Alzheimer's Disease (AD), with around 10-15% of patients with aMCI converting to AD per year. It is unclear what mechanisms are involved in the initiation and progression through aMCI. One hypothesis involves the “glymphatic” system, a hypothesized pathway mediated by Cerebrospinal Fluid (CSF) flow that is essential to clearing toxins and cellular debris from the brain. In this study, we analyze how CSF flow dynamics are altered in subjects with aMCI. Overall, we found that lower flow in the 4th ventricle is linked with increased disease burden. |
| 1688 | Diffusion and multi-echo ASL reveal lower blood-brain interface water permeability in mild cognitive impairment and early Alzheimer’s disease | |
| Tabitha J Manson1,2, Xingfeng Shao3, Danny JJ Wang3, Matthias Günther4,5, Lynette Tippett2,6,7, Michael Dragunow2,7,8, David L Thomas9,10, Vinod Suresh1,11, and Catherine Morgan2,6,7 | ||
1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 2Brain Research New Zealand, Auckland, New Zealand, 3Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 5Faculty 01 (Physics/Electrical Engineering), University Bremen, Bremen, Germany, 6School of Psychology, University of Auckland, Auckland, New Zealand, 7Centre for Brain Research, University of Auckland, Auckland, New Zealand, 8Department of Pharmacology, University of Auckland, Auckland, New Zealand, 9Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 10Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, UK, London, United Kingdom, 11Department of Engineering Science, University of Auckland, Auckland, New Zealand |
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Blood-brain barrier (BBB) dysfunction has been found in multiple neurodegenerative conditions, including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). However recent concerns on the repeated use of Gadolinium based contrast agents (GBCAs), prompted us to investigate alternative, non-invasive methods for measuring BBB function. Both diffusion-weighted (DW) and multi-echo (ME) ASL was implemented at 3T to determine water transfer rates (kw) in the brain in MCI and early AD participants. We found kw to be lower in the cognitively impaired group, compared to controls, with both modalities, suggesting that these techniques may provide a marker of early AD pathology. |
| 1689 | Velocity and pulsatility in small cerebral perforators of CADASIL patients compared to healthy controls | |
| Tine Arts1, Hilde van den Brink2, Anna Kopczak3, Martin Dichgans3, Jeroen Hendrikse1, Jeroen Siero1,4, Jaco Zwanenburg1, and Geert Jan Biessels2 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 3Institute of Stroke and Dementia Research, Munich, Germany, 4Spinoza Centre for Neuroimaging, Amsterdam, Netherlands |
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CADASIL is a monogenic form of cerebral small vessel disease that leads to ischemic brain lesions at mid-adult age. We studied arterial perforator blood flow velocity and pulsatility in CADASIL patients and matched controls. We found significantly lower velocity and higher pulsatility in the basal ganglia and in normal appearing white matter (NAWM) of the centrum semi-ovale (CSO) in patients compared to controls. Within patients, no differences in velocity and pulsatility were found between CSO NAWM and white matter hyperintensities. This shows that small vessel disease in CADASIL patients is reflected in abnormal small vessel function also beyond lesioned areas. |
| 1690 | Dilated PVS affects surrounding white matter non-parenchymal water fraction differently in healthy young and elderly CSVD individuals | |
| Yeerfan Jiaerken1,2 and Zhang Minming1 | ||
1Second Affiliated Hospital of Zhejiang University, School Of Medicine, hangzhou, China, 2UNC Chapel Hill, chapel hill, NC, United States |
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We investigated how dilated perivascular space (dPVS) affects water drainage in surrounding tissue and whether there is any distance-related pattern of water distribution around dPVS. We found that The isotropic diffusing water content was higher within dPVS, compared to contralateral normal white matter, and the CSVD subjects had higher within-dPVS water content than healthy subjects, and dPVS showed different distance-related pattern in healthy subjects and subjects with severe CSVD, suggesting dPVS played different roles in healthy subjects and CSVD. |
| 1691 | An anatomic atlas of brain metastases: probability maps based on 13 primary cancer subtypes from post-contrast T1-weighted MRI of 955 patients | |
| Jeremiah W Sanders1, Jason M Johnson2, Henry Szu-Meng Chen1, Melissa Chen2, Maria Gule-Monroe2, Zijian Zhou1, Tina M Briere3, Jing Li4, Jingfei Ma1, and Ho-Ling Liu1 | ||
1Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Neuroradiology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 4Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Metastasis is regarded as a highly inefficient process in that less than 0.01% of circulating tumor cells eventually succeeds in forming secondary tumor growths. The seed and soil theory suggests that certain tumor cells have a specific affinity for the milieu of certain organs. Numerous studies have attempted to better understand the biology behind the distribution of brain metastasis and theories include both variables involving the metastasis and the target brain parenchyma. This work establishes probabilistic maps of locations where 13 primary cancer subtypes metastasize to the brain from T1-weighted MRIs of 955 patients undergoing stereotactic radiosurgery. |
| 1692 | Correlation of glioma grade with basal ganglia iron content using QSMnet+ | |
| Thomas Reith1, Eun-Jung Choi2, Jongho Lee2, Melissa Prah1, Robert Wujek1,3, Mona Al-Gizawiy1, Christopher Chitambar4, and Kathleen Schmainda1 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 3Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States, 4Hematology & Oncology, Medical College of Wisconsin, Milwaukee, WI, United States |
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Basal ganglia iron levels were assessed in 55 patients with gliomas by using a deep neural network-powered quantitative susceptibility mapping method (QSMnet+). Basal ganglia QSM values increased with higher tumor grade, suggesting a correlation between BG iron content and glioma severity. |
| 1693 | Radiomics features from APTw MRI improve the diagnostic performance of structural MRI in early response assessment of malignant gliomas | |
| Shanshan Jiang1, Pengfei Guo2, Hye-Young Heo1, John Laterra3, Charles Eberhart4, Michael Lim5, Peter C.M. van Zijl1,6, and Jinyuan Zhou1 | ||
1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Computer Science, Johns Hopkins University, Baltimore, MD, United States, 3Neurology, Johns Hopkins University, Baltimore, MD, United States, 4Pathology, Johns Hopkins University, Baltimore, MD, United States, 5Neurosurgery, Johns Hopkins University, Baltimore, MD, United States, 6F.M. Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States |
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Assessment of glioma treatment is based on pathological evaluation via biopsies or radiological criteria using follow-up MRI, which is either invasive or time consuming. Amide protein transfer weighted (APTw) MRI has been validated to accurately detect recurrent malignant gliomas by multiple studies. The cutting edge methodology of radiomics provides quantitative measurements for imaging diagnosis. Here, we develop an automated framework that integrates APTw MRI radiomic features with a machine learning model to evaluate treatment response for gliomas. Our results suggest that the use of APTw features enabled the radiomic model to reach a more accurate assessment of the treatment effect. |
| 1694 | Differentiating lymphoma from grade-IV glioma using susceptibility weighted imaging based texture feature at 3T MRI | |
| Rupsa Bhattacharjee1,2, Rakesh Kumar Gupta3, Rana Patir4, Sandeep Vaishya4, Sunita Ahlawat4, and Anup Singh1,5 | ||
1Center for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Philips Health Systems, Philips India Limited, Gurugram, India, 3Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 4Department of Neurosurgery, Fortis Memorial research Institute, Gurugram, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India |
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No standalone method is yet reported to differentiate PCNSL and grade-IV glioma with highest accuracy and diagnostic confidence. Imaging based differentiation between these two types has been a challenging problem. Objective of this study is to evaluate performance of texture-based features of SWI in improved differentiation of PCNSL from grade-IV gliomas. Proposed approach based upon texture feature-extraction from segmented SWI lesion, enabled automatic classification of tumors into primary central nervous system lymphoma and grade-IV glioma cases. One of the texture feature, Contrast, provided highest AUC along with high sensitivity and specificity. This classification might improve diagnosis and grading of tumors. |
| 1695 | MRF for preoperative differentiation of non-functioning gonadotroph adenoma and non-functioning non-gonadotropin adenoma | |
| Rushi Chen1, Yan Bai2, Mathias Nittka3, Gregor Koerzdoerfer3, Xianchang Zhang4, and Meiyun Wang2 | ||
1Henan provincial people's hospital& Zhengzhou University People’s Hospital, Zhengzhou, China, 2Henan provincial people's hospital, Zhengzhou, China, 3MR Pre-development, Siemens Healthcare, Erlangen, Germany, 4MR Collaboration, Siemens Healthcare Ltd, Beijing, China |
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Currently, there is no effective pharmacological treatment for non-functioning pituitary adenoma, including gonadotroph adenoma (GPA). Recent findings showed that an alternative pharmacological treatment targeted at somatostatin receptor 3 may be promising, which required accurate diagnosis of GPA before surgery. This study aimed to evaluate the utility of magnetic resonance fingerprinting (MRF) in the pre-surgical differentiation of GPA from non-functioning, non-gonadotropin adenoma (NGPA). The results showed that GPAs have significantly higher T1 and T2 values in the solid tumor than NGPA, suggesting that MRF may have potential for diagnosing GPA and benefit its treatment plan. |
| 1696 | Assessment of Automated Brain Tumour Segmentation Tools for Clinical Data | |
| Reneira Seeamber1, Katherine L Ordidge2,3, Felice d’Arco4, Kshitij Mankad4, Tara D Barwick2,3, Adam D Waldman5,6, Patrick W Hales7, and Matthew Grech-Sollars2,3 | ||
1Department of Computing, Imperial College London, London, United Kingdom, 2Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 3Department of Imaging, Imperial College Healthcare NHS Trust UK, London, United Kingdom, 4Great Ormond Street Children’s Hospital, London, United Kingdom, 5Department of Medicine, Imperial College London, London, United Kingdom, 6Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom, 7Department of Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom |
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Radiological diagnosis of certain brain tumours remains poor. The development of automated tools that can extract valuable, yet currently underused, information from routine MRI acquisitions have been explored. The present study aimed to evaluate the accuracy of three automatic tumour segmentation programmes using the BRATS validation 2018 glioma dataset (n=66). The performance of BraTumIA was assessed across an adult glioma dataset from Imperial College Healthcare NHS Trust (n=13) and a paediatric brain tumour dataset from Great Ormond Street Hospital NHS Foundation Trust. DeepMedic segments adult gliomas more accurately than BraTumIA and ONCOhabitats. However, BraTumIA provides a more user-friendly segmentation tool. |
| 1697 | Characterization of Brain Tumors using Amide Proton and Nuclear Overhauser Effect at 3 Tesla MR Scanner. | |
| Yuki Kanazawa1, Masafumi Harada1, Mitsuharu Miyoshi2, Takashi Abe1, Yuki Matsumoto1, and Yasushi Takagi3 | ||
1Tokushima University, Tokushima, Japan, 2Global MR Applications and Workflow, GE Healthcare Japan, Hino, Japan, 3Department of Neurosurgery, Tokushima University, Tokushima, Japan |
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To achieve detailed characterization of brain tumors, we demonstrated CEST imaging with multi-pool model [bulk water, magnetization transfer (MT), amide proton transfer (APT), and nuclear Overhauser effect (NOE)] derive from the Bloch equation. This study was performed using five patients with brain tumors. As a result, there was high linearity between MTRasym and T2/T1 in each tumor (R2 = 0.91, P<0.05). Moreover, there were significantly different NOE signals for tumors and normal white matter (P<0.05). Detection using APT and NOE make it possible to provide more detailed information of brain tumors than MTRasym analysis. |
| 1698 | Effects of Chemo-Radiation on Normal Appearing White Matter in GBM patients | |
| Hatef Mehrabian1, Mark Ruschin2, Sten Myrehaug3,4, Hany Soliman1,3,4, Arjun Sahgal1,3,4, and Greg J Stanisz1,5 | ||
1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Physics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 4Radiation Oncology, University of Toronto, Toronto, ON, Canada, 5Medical Biophysics, University of Toronto, Toronto, ON, Canada |
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Chemo-radiation treatment for GBM damages normal brain tissues and leads to significant deterioration in patients’ quality of life months or years after treatment. Magnetization transfer (MT) is sensitive to white matter damage and may detect it early. We observed significant reduction in MT exchange rate (RM0B) that quantifies white matters integrity as early as one month after 6-week chemo-radiation. The treatment impact on normal brain tissue was observed even in regions that received low radiation dose. More importantly, not all patients experienced MT reduction showing the heterogeneity of response to treatment and the potential of MT in identifying vulnerable patients. |
| 1699 | Differential diagnosis of primary CNS lymphoma and glioblastoma using statistics derived from commercial software | |
| Tatsuya Yamamoto1, Kuniyoshi Hayashi2, and Hirohiko Kimura3 | ||
1Department of Diagnostic Radiology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan, 2Division of Biostatistics and Bioinformatics, Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan, 3Department of Radiology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan |
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Primary central nervous system lymphomas (PCNSLs) are sometimes difficult to distinguish from glioblastomas (GBMs) based on routine magnetic resonance examination. This study assessed the utility of histogram analysis of intratumoral contrast-enhanced region using contrast-enhanced T1WI (CET1WI) with a 3D-spoiled gradient recalled acquisition in the steady state sequence for PCNSLs and GBMs to determine whether histogram statistics differed between the two tumors using the commercial software. There were significant differences in skewness, entropy, and angular second moment between PCNSLs and GBMs. This suggests the possibility of the differential diagnosis of PCNSLs and GBMs using histogram analysis of CET1WI. |
| 1700 | Magnetic Resonance Fingerprinting for Preoperative Differentiation of Soft and Hard Meningiomas | |
| Rui Zhang1, Yan Bai1, Xianchang Zhang2, Qin Feng1, Mengke Wang1, Menghuan Zhang1, Mathias Nittka3, Gregor Koerzdoerfer3, Yusong Lin4, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital;Henan Key Laboratory of Neurological Imaging, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, 3MR Pre-development, Siemens Healthcare, Erlangen, Germany, 4Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China |
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Tumor consistency is an important factor in determining the resectability and surgical outcome of meningiomas. This study investigated the use of magnetic resonance fingerprinting (MRF) to distinguish between meningiomas characterized as soft or hard based on intraoperative patient records. Mann-Whitney U tests were used to compare longitudinal relaxation time (T1) and transverse relaxation time (T2) values derived from MRF. Soft meningiomas had significantly higher T1 and T2 values than hard meningiomas. Both T1 and T2 showed good diagnostic performance, suggesting that MRF may provide valuable information for preoperative differentiation of meningioma consistency and help guide the treatment plan. |
| 1701 | Application of Half-Dose Contrast-Enhanced T2-Fluid-Attenuated Inversion Recovery (T2 FLAIR) Sequence in Brain Metastasis | |
| Teng Jin1, Jing Wang1, and Zhenwei Yao2 | ||
1Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China |
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For reducing the gadolinium dose of patients with metastasis, we seek a valuable tool to lower contrast agent doses but keep MR image quality, which is important for patients’ healthcare. We analyzed the optimum scanning time for 1/2 dose CE-T2FLAIR, and compared the CR value of metastases and enhancement degree among the 1/2 dose CE-T2 FLAIR, 1/2 dose CE-T1WI and full dose CE-BRAVO sequence. Our team further analyzed the relationship between enhancement pattern, lesion size and image quality. Our study not only reduced the harm from GBCA administrations but also improved detection rate of brain metastases. |
| 1702 | SWI changes in the dentate nucleus in high and low-grade brain stem neoplasms | |
| Kamlesh Jobanputra1, Bhaswati Roy2, Karuna Raj1, Amit Agarwal1, and Frank Yu1 | ||
1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Anesthesiology, University of California at Los Angeles, Los Angeles, CA, United States |
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An investigation that stemmed from observation that there were dentate volume changes on SWI in low grade tumor of the brainstem showed significant decrease in signal intensity in the ipsilateral dentate nucleus in high grade neoplasms and decrease in ipsilateral dentate volumes in low grade neoplasms. We think that dentate iron deposition and its imaging is yet an unexplored field, especially in brain tumor imaging. Further evaluation with QSM and STI with histopathological correlation may also help explore pathways of iron homeostasis. |
| 1703 | Differentiation of glioblastoma and lymphoma: Improvement in Accuracy and Reliability of DCE Parameters by Using AIF Obtained from DSC-MRI | |
| Koung Mi Kang1, Seung Hong Choi1, Inpyeong Hwang1, Roh-Eul Yoo1, Tae Jin Yun1, Ji-hoon Kim1, and Chul-Ho Sohn1 | ||
1Seoul National University Hospital, Seoul, Republic of Korea |
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We investigated that whether arterial input functions (AIFs) obtained from Dynamic susceptibility-contrast (DSC)-MRI, or AIFDSC values, improved reliability and diagnostic accuracy of DCE parameters, for differentiating glioblastoma (GBM) from primary CNS Lymphoma (PCNSL), compared with AIFs derived from DCE-MRI (AIFDCE). This study demonstrated that AIFDSC –driven DCE parameters had better diagnostic accuracy and reliability for the differential diagnosis than those from AIFDCE. In addition, the AIFDSC-driven mean Ktrans showed better accuracy than the other DCE parameters and rCBV in the discrimination of GBM without marked vascularity from PCNSL. |
| 1704 | Quantitative analysis of MR perfusion imaging in diagnosis and differential diagnosis of alveolar echinococcosis and brain metastases | |
| Jian Wang1, Xin Gao1, Chunhui Jiang1, and Jundi Liu1 | ||
1The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China, Xinjiang, China |
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Due to similar appearance in conventional MR images, it is often difficult to differentiate cerebral vesicular echinococcosis (CAE) from brain metastases (BM). In this study, user perfusion weighted imaging technique, perfusion characteristics of these 2 diseases were systematically investigated. Our results indicated that significant difference of semi-quantitative parameters relative cerebral blood flow (rCBF) and relative cerebral blood volume (rCBV) from PWI between CAE and BM. Hence PWI can provide valuable additional information in differential disagnosis of alveolar echinococcosis and brain metastases. |
| 1705 | Response prediction of the vestibular schwannoma after gamma-knife radiosurgery using DCE-MRI: preliminary results after 1-year follow-up. | |
| Inpyeong Hwang1, Seung Hong Choi1, Jin Wook Kim2, Roh-Eul Yoo1, Koung Mi Kang1, Tae Jin Yun1, Ji-hoon Kim1, and Chul-ho Sohn1 | ||
1Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2Department of Neurosurgery, Seoul National University Hospital, Seoul, Korea, Republic of |
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There are few known predictive factors for response to gamma-knife radiosurgery (GKRS) in vestibular schwannoma (VS). This study investigated the relationship between DCE-MR derived pharmacokinetic parameters and tumor volume change at one year after GKRS follow-up in VS. This prospective study performed a volumetric measurement of DCE-MR pharmacokinetic parameters before GKRS. The patients underwent followed-up MR at post one year, tumor volume was measured, and pharmacokinetic parameters were compared between tumor growth group and stable group. Only the Ktrans value showed statistical differences. Our results suggest that Ktrans value has the potential to predict tumor response in VS after GKRS. |
| 1706 | Pixel-wise and regional comparison of a low flip angle, single-dose versus moderate flip angle, double-dose DSC-MRI protocol | |
| Laura C. Bell1, Leland S. Hu2, Yuxiang Zhou2, Kathleen M. Schmainda3, Jerrold L. Boxerman4, and C. Chad Quarles1 | ||
1Barrow Neurological Institute, Phoenix, AZ, United States, 2Mayo Clinic, Scottsdale, AZ, United States, 3Medical College of Wisconsin53226, Milwaukee, WI, United States, 4Rhode Island Hospital and Alpert Medical School of Brown University, Providence, RI, United States |
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Current recommendations for brain tumor dynamic susceptibility contrast MRI include the use of a moderate flip angle (MFA) and a full standard preload dose.1 Recently, simulations2 identified an equally accurate protocol that requires no preload and uses a low flip angle (LFA) and optimized echo time. This was validated in vivo3 by comparing LFA- and MFA-based mean tumor cerebral blood volume. Here we aim to systematically characterize agreement by evaluating the pixel-wise agreement in enhancing tumor, edema, white matter, and gray matter regions. We found high agreement in all regions further strengthening the clinical utility of the LFA protocol. |
| 1707 | Analysis of Accuracy and Precision of Recommended Protocols for Dynamic Susceptibility Contrast MRI for Brain Metastases | |
| Natenael B Semmineh1, Usha Bhalla2, Laura C Bell1, Ashley M Stokes1, Matthew D Lee3, Leland Hu4, Jerrold L Boxerman3,5, and C Chad Quarles1 | ||
1Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 2Brown University, Providence, RI, United States, 3Alpert Medical School - Brown University, Providence, RI, United States, 4Department of Radiology, Mayo Clinic Arizona, phoenix, AZ, United States, 5Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States |
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Numerous methods have been proposed to overcome the confounding influence of contrast agent leakage on DSC-MRI derived CBV maps in brain tumors. Recently, we leveraged a digital reference object to identify the optimal acquisition and analysis methods for GBM patients, a protocol that is now being recommended as the standardized approach for all clinical scans. It is unknown if the biological differences between GBM and metastases would confound the use of this protocol in patients with brain metastases. In this study we characterize the influence of this GBM-centric protocol resulted in lower metastases CBV accuracy and precision. |
| 1708 | Comparative evaluation of Oligodendroglioma and Astrocytoma subtypes with similar grade using Conventional MRI and T1 perfusion MRI imaging | |
| Mamta Gupta1, Abhinav Gupta1, Anup Singh2, Jitender Saini3, Rana Patir4, Sunita Ahlawat5, Vani Santosh3, Neha Vats2, Manish Awasthi2, Suhail Parvaze6, and Rakesh Kumar Gupta1 | ||
1Department of Radiology, Fortis Memorial Research Institute, Gurgaon, India, 2Centre for Biomedical Engineering, Indian Institute of Technology, New Delhi, India, 3National Institute of Mental, Health and Neurosciences, Bangalore, India, 4Department of Neurosurgery, Fortis Memorial Research Institute, Gurgaon, India, 5SRL Diagnostics, Fortis Remorial Research Institute, Gurgaon, India, 6Philips Innovation Campus, Bangalore, India |
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The differentiation of oligodendroglioma and astrocytoma has become increasingly important due to the distinct sensitivity of oligodendroglioma (OD) to chemotherapy and prolonged survival compared to astrocytoma (AT) of similar grades. The purpose of the present study was to determine whether unique characteristics of OD and AT are visible on MR imaging and to assess the added value of perfusion imaging in differentiating OD from AT tumors across similar grades in large study population. Our results demonstrated no characteristic/specific conventional MRI features and perfusion parameters those could clearly differentiate similar grades of OD’s and AT tumors. |
| 1709 | "ASL-CE mismatch": An Imaging Finding for Diagnosis of Brain Tumor, Multicenter Research | |
| Takashi Abe1, Maki Otomo1, Mihoko Kondo1, Yuta Arai1, Yoichi Otomi1, Yuki Matsumoto2, Yuki Kanazawa2, Kohei Nakajima3, Yoshifumi Mizobuchi3, Yasushi Takagi3, and Masafumi Harada2 | ||
1Radiology and Radiation Oncology, Tokushima University Hospital, Tokushima, Japan, 2Tokushima University, Tokushima, Japan, 3Neurosergery, Tokushima University Hospital, Tokushima, Japan |
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One hundred one cases with brain tumor were included (62: HGG, 10: LGG, 18: metastasis, 11: lymphoma), and divided into two groups by the presence or absence of ASL hyperintensity outside of CE area (ASL-CE mismatch). Only the cases with glioma or lymphoma (23 HGG, 7 LGG, 3 lymphoma) revealed ASL-CE mismatch, and the cases with metastasis didn't (p = 0.001). Similar results were obtained in a sub-analysis where data were divided by MRI vendor. This novel finding may reflect tumor invasion and/or vascular growth in the surrounding brain parenchyma, and is useful for identifying metastasis from the other tumors. |
| 1710 | Time-efficient method for detecting subtle blood-brain barrier leakage – a clinical feasibility study | |
| Paulien H.M. Voorter1,2, Marieke van den Kerkhof2,3, Daniëlle B.P. Eekers4, Richard A.M. Canters4, Wouter van Elmpt4, Joost J. de Jong2,3, Lisanne P.W. Canjels2,3,5, Jacobus F.A. Jansen2,3,5, Alida A. Postma2, and Walter H. Backes2,3 | ||
1Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 3School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 4Department of Radiation Oncology (MAASTRO), GROW – School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands, 5Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands |
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Blood-brain barrier (BBB) disruption underlies the origin of many brain disorders. Measuring subtle BBB leakage of gadolinium-based contrast agents is commonly performed by a continuous and time-consuming dynamic MRI protocol. However, BBB leakage is subtle, for which discrete sampling at strategic time-points might be sufficient. This study explores the feasibility of the time-efficient interleaved protocol by applying it to brain tumor patients. We were able to measure high permeability in a craniopharyngioma and low permeability in a low-grade tumor and in healthy tissue. The time-efficient protocol is promising and will be further evaluated in more patients. |
| 1711 | Simultaneous Fast and Slow DCE: temporal multiresolution and spatial high resolution T1 dynamics of the whole brain from a single continuous scan | |
| Ingomar Gutmann1, Julia Furtner2, Gregor Kasprian2, Gerhard Krexner3, Daniela Prayer2, and Patrick Thurner2 | ||
1University of Vienna, Vienna, Austria, 2Medical University Vienna, Vienna, Austria, 3University of Vienna, Wien, Austria |
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We present DCE acquisition with high spatial resolution that excels the guidelines of the ACR for spatial resolution, maintaining whole brain coverage at all times, while at the same time providing a temporal sampling rate of fast enough to make accurate flow and permeability measurements from T1-weighted DCE MRI in a clinical neuro-oncology setting possible.Furthermore we demonstrate the use of radial spoke aggregation in GRASP reconstruction for DCE perfusion imaging of the brain and show preliminary results on the impact of variable temporal resolution on estimating pharmacokinetic models. |
| 1712 | Increased cerebral blood volume in cortical and subcortical brain regions in Glioblastoma patients after EPI distortion correction | |
| Ivar Thokle Hovden1, Oliver M. Geier1, Ingrid Digernes1, Elies Fuster-Garcia1, Grethe Løvland2, Einar Vik-Mo3, Torstein R. Meling3,4, and Kyrre E. Emblem1 | ||
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 2The Intervention Centre, Oslo University Hospital, Oslo, Norway, 3Department of Neurosurgery, Oslo University Hospital, Oslo, Norway, 4Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland |
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We studied the changes in rCBV introduced by echo-planar imaging (EPI) distortion correction methods when applied to EPI dynamic susceptibility contrast (DSC)-MRI. The results obtained using FSL TOPUP and EPIC distortion correction methods indicate that both subcortical and cortical regions are affected and returning an overall increase in rCBV. In the context of longitudinal EPI-based analysis in glioblastoma patients, EPI distortions and subsequent corrections are important determiners for assessing robust responses of rCBV change. |
| 1713 | Preoperative Proliferation Prediction of Pituitary Macroadenoma Based on Radiomics Analysis on DCE-MRI | |
| Yangyingqiu Liu1, Yanwei Miao1, Ailian Liu1, Qingwei Song1, and Lizhi Xie2 | ||
1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China |
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Proliferative states of pituitary macroadenomas is assessed by radiomics analysis on Dynamic Contrast Enhanced MRI(DCE-MRI). The results show that DCE-MRI could be used as a new noninvasive method for identification the proliferative states of pituitary macroadenomas. |
| 1714 | 3D arterial spin labeling (3D-ASL) MR perfusion imaging application in differentiation primary CNS lymphoma from metastatic brain tumors | |
| zongqiong sun1, weiqiang dou2, and shudong hu1 | ||
1MR, Affiliated hospital of Jiangnan university, Wuxi, China, 2MR research, GE healthcare,MR research China, Beijing, China |
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CBF values of PCNSL are significant lower than those of MBT, and this is helpful to differentiate the two tumors by using 3D ASL MR perfusion imaging from quantitative parameters analyses. |
| 1715 | Value of quantitative dynamic contrast-enhanced MR imaging in analyzing microvascular permeability | |
| Li Xiang1, Lihua Sun1, Longsheng Wang1, and Yaqiong Ge2 | ||
1Radiology, The second affiliated hospital of Anhui Medical University, Hefei, China, 2GE Healthcare, Shanghai, China |
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DCE-MRI was used to conduct quantitative analysis of microvascular permeability in three different areas of meningioma: Lesion, Edge and Normal. 37 patients with pathologically confirmed meningioma were enrolled, while quantitative parameters were measured. The parameters of ktrans, TTP, MAX. Conc, iAUC in Lesion group and Edge group were statistically significant, and the parameters of Ktrans, kep, Ve, TTP, Max.Conc as well as AUC in Lesion group and Normal group, were statistically significance. The ktrans parameter has the highest AUC value, which means the better performance for permeability study of WHO with different grades of meningiomas and invasive meningiomas. |
| 1716 | Histogram-based CBF quantification allows prediction of histopathologic grade and molecular markers in de novo brain gliomas | |
| David Lu1, Jay J. Pillai1,2, Hanzhang Lu1, and Yang Li1 | ||
1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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We developed a histogram-based CBF analysis method for the prediction of tumor histopathologic grade and molecular marker (including IDH1 mutation, ATRX loss, p53 mutation, MGMT methylation, and 1p/19q co-deletion) in a group of de novo brain glioma patients. ASL MRI may be a non-invasive and cost-effective approach to assist in brain tumor diagnosis and prognosis. |
| 1717 | Correlation of MRI signal characteristics of intracranial melanoma metastases with BRAF mutation status | |
| Arian Lasocki1,2 and Grant McArthur2,3 | ||
1Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia, 2The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia, 3Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia |
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In small intracranial melanoma metastases, MRI evidence of melanin was more common in BRAFV600-mutant patients than BRAF-wildtype, supporting that melanin content is greater in not just the primary, but also in the distant metastases. Haemorrhage and central necrosis were more common in larger metastases. Central necrosis was also more common in BRAF-mutant patients who had not previously received anti-BRAF therapy, suggesting that metastases in BRAF-mutant patients have a tendency to central necrosis, though this is modified by anti-BRAF therapy, thus resulting in more solid metastases. |
| 1718 | MRI signatures associated with pathologically relevant histological features of brain cancer at autopsy | |
| Samuel Bobholz1, Allison Lowman2, Alexander Barrington3, Michael Brehler2, Sean McGarry1, Jennifer Connelly4, Elizabeth Cochran5, Anjishnu Banerjee6, and Peter LaViolette2,3 | ||
1Biophysics, Medical College of Wisconsin, Wauwatosa, WI, United States, 2Radiology, Medical College of Wisconsin, Wauwatosa, WI, United States, 3Biomedical Engineering, Medical College of Wisconsin, Wauwatosa, WI, United States, 4Neurology, Medical College of Wisconsin, Wauwatosa, WI, United States, 5Pathology, Medical College of Wisconsin, Wauwatosa, WI, United States, 6Biostatistics, Medical College of Wisconsin, Wauwatosa, WI, United States |
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This study sought to assess the ability for voxel-wise MRI intensity values to distinguish between co-registered pathological annotations of autopsy tissue samples from brain cancer patients. Though single image and pairwise image assessments did not reveal separable intensity distributions for the pathological annotation classes, ensemble-based predictive modelling using multiparametric MRI intensities proved able to predict pathological annotations with modest accuracy. These results suggest a complex relationship between MRI values and pathological features that are most accurately assessed in terms of multiple MR imaging modalities. |
| 1719 | Comparison of radiomics-based and deep learning techniques for predicting nuclei density in brain cancer patients from MRI | |
| Samuel Bobholz1, Allison Lowman2, Alexander Barrington3, Michael Brehler2, Jennifer Connelly4, Elizabeth Cochran5, Anjishnu Banerjee6, and Peter LaViolette2,3 | ||
1Biophysics, Medical College of Wisconsin, Wauwatosa, WI, United States, 2Radiology, Medical College of Wisconsin, Wauwatosa, WI, United States, 3Biomedical Engineering, Medical College of Wisconsin, Wauwatosa, WI, United States, 4Neurology, Medical College of Wisconsin, Wauwatosa, WI, United States, 5Pathology, Medical College of Wisconsin, Wauwatosa, WI, United States, 6Biostatistics, Medical College of Wisconsin, Wauwatosa, WI, United States |
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This study sought to compare localized predictions of cellular density via radiomics-based and neural network-based modeling, using co-registered autopsy tissue samples from 16 brain cancer patients as ground truth. We found that radiomics models tended to slightly outperform the neural networks, despite evidence of overfitting in all radiomics-based models and an Alexnet-based transfer learning model. These results suggest that radiomics models tend to perform at least as well as neural network when applied to this dataset, but the propensity of these models for overfitting highlights further needs to be addressed with modelling on larger data sets. |
| 1720 | A radiomics model for preoperative prediction of brain invasion in meningioma based on MRI | |
| jing Zhang1, kuan Yao2, Zhenyu Liu3, Junlin Zhou1, Guojing Zhang4, and Yuntai Cao1 | ||
1Radiology, Lanzhou University Second Hospital, Lanzhou, China, 2School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, China, 3CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, Beijing, China, 4Lanzhou University Second Hospital, Lanzhou, China |
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Objectives Using a radiomics method to predict brain invasion by meningioma. Methods 1595 quantitative imaging features were extracted. LASSO was performed to select features. SVM was used to fit the predictive model. Furthermore, a nomogram was constructed, and validated using decision curve analysis (DCA). Results 8 features were significantly correlated with brain invasion. The radiomics model derived from the fusing MRI sequences resulted in the best discrimination ability, with AUC of0.855(95%CI, 0.829-0.882), sensitivity of 80.32% (95%CI, 75.56%-85.25%). Conclusions The radiomics model developed in this study provided a new non-invasive way to facilitate the preoperative prediction of brain invasion in meningioma. |
| 1721 | Radiomics features of magnetic resonance images as novel predictive factors of bone invasion in meningiomas | |
| Jing Zhang1, Jianqing Sun2, Guojing Zhang1, Yuntai Cao1, and Junlin Zhou1 | ||
1Radiology, Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Shanghai, Shanghai, China |
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Objectives Radiomics method was used to predict bone invasion. Methods 1227 quantitative imaging features were extracted. Recursive Feature Elimination (RFE) was performed to select the most informative features. Ridge Classifier was chosen to predict model. Results The AUCof the radiomics model derived from CET1WI and T2WI sequence were0.72,0.72and 0.72,0.64 in the training and test datasets , respectively, and combined CET1WI and T2WI sequences were 0.73and 0.72 when predict bone invasion. Conclusions The radiomics model developed in this study may aid neurosurgeons in the pre-operative prediction of bone invasion by meningiomas ,which can contribute to make clinical strategies and predict prognosis. |
| 1722 | MRI-based radiomics analysis for differentiating subtypes of glioma | |
| Jing Zhang1, Yanghong Ou1, and Shuangfeng Dai2 | ||
1Lanzhou University Second Hospital, Lanzhou, China, 2Huiying Medical Technology Co., Ltd., Beijing, China |
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Radiomics provides a tool for comprehensive quantification and visualization of intra-tumor heterogeneity at the radiological level. Several radiomics studies have been reported in prediction of the survival and treatment response of glioma. And most researches had focused on binary classification of the Low-grade glioma (grade II) and high-grade glioma (grade III and grade IV). However, the influence of different MRI scan plane on the radiomic features of glioma has not been investigated. The purpose of this retrospective study was to demonstrate the feasibility of radiomics methods to determine the three subtypes (grade II, III, and IV) of glioma based on multi-sequences and different scan plane of magnetic resonance imaging (MRI). |
| 1723 | Experience counts! Comparison of ROI placement strategies for radiomics analysis of gliomas | |
| Bárbara Schmitz Abecassis1,2, Koji Sakai2, Tomonori Toyotsuji2, Yoshiaki Ota2,3, and Kei Yamada2 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan, 3Department of Radiology, University of Michigan, Ann Arbor, MI, United States |
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Glioma delineation is complex and time-consuming. We evaluated whether a technically less challenging method could potentially bypass this tedious process, when using a simple manual circular-ROI by less trained personnel. We assessed whether applying a circular-ROI to clinical 3T-MRIs from 12 glioma patients, would extract significantly different GLI features. We compared it to the gold-standard manual delineation approach, having 3 observers with different levels of expertise placing the ROIs. Experience matters to extract consistent GLI features across delineation runs. The different ROI methods extracted significantly different GLI features, emphasizing the importance of delineation strategies when analyzing heterogeneous tumors like gliomas. |
| 1724 | Radiomics approach in preoperative differentiation of prolactinoma and non-prolactinoma pituitary adenomas | |
| Rushi Chen1, Yan Bai2, Mengke Wang2, Feng Qin2, Menghuan Zhang2, Xueping Zhang2, Shang Wang2, Yongchao Zhao2, Ting Fang2, Xinhui Wang2, Huan Zhao2, Li Mao3, Xiuli Li3, and Meiyun Wang2 | ||
1Henan provincial people's hospital& Zhengzhou University People’s Hospital, Zhengzhou, China, 2Henan provincial people's hospital, Zhengzhou, China, 3Deepwise AI Lab, Beijing, China |
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The primary treatment for prolactinomas is dopamine agonist, while transsphenoidal surgery is recommended as primary therapy for the non-prolactinomas. This study aimed to evaluate the radiomic model in the differentiation of prolactinoma from non-prolactinomas before surgery. Our results demonstrated that the eXtreme Gradient Boosting model based on 2264 radiomic features extracted from the original and preprocessed sagittal contrast-enhanced T1WI and coronal T2WI yielded the AUC value of 1.000 and 0.828 on the train set and test set, respectively. The radiomic model may have potential for differentiating the prolactinomas from non-prolactinomas, which may be beneficial to guide the treatment plan. |
| 1725 | A preliminary study on predicting the ACTH&GH hormone immunohistochemistry typing of pituitary macroadenoma based on Radiomics DCE-MRI | |
| Yangyingqiu Liu1, Yanwei Miao1, Ailian Liu1, Qingwei Song1, and Bing Wu2 | ||
1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE healthcare, Beijing, China |
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Hormone immunohistochemistry typing of pituitary macroadenomas is assessed by radiomics analysis on Dynamic Contrast Enhanced MRI(DCE-MRI). The results show that DCE-MRI could be used as a new noninvasive method to predictive the hormone immunohistochemistry typingof pituitary macroadenomas. |
| 1726 | The Diagnostic Performance of Multiparametric MRI Radiomics for Classification of Untreated Adult Gliomas | |
| Amirah Faisal Alsaedi1,2, Jasmina Panovska-Griffiths3, Xavier Golay2, and Sotirios Bisdas2,4 | ||
1Department of Radiology Technology, Taibah University, Medina, Saudi Arabia, 2Department of Brain Repair & Rehabilitation, UCL, Queen Square, Institute of Neurology, London, United Kingdom, 3Department of Applied Health Research, UCL, London, United Kingdom, 4Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, United Kingdom |
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This study aimed to assess the diagnostic performance of multiparametric MRI radiomics for glioma class prediction according to the WHO 2016 classification. Histogram features were extracted from prospectively acquired multiparametric MRI (pCASL, DSC-MRI, DCE-MRI, and DWI) in 32 patients with primary gliomas. The uncombined significant features of ASL, ADC, DSC, and DCE, revealed diagnostic performances varying from low (44% ) to fair (86%) and unable to predict all the histomolecular classes. However, combining them for each MRI method, independently, enhanced the diagnostic accuracy up to 100% and predict all the classes. This alludes the use of multimodal radiomics for glioma classification. |
| 1727 | Addition of peritumoral area improves T1-weighted texture-based prediction of glioblastoma multiforme progression | |
| George Zenzerovich1 and Tim Q Duong2 | ||
1Radiology, Stony Brook University, Stony Brook, NY, United States, 2Stony Brook University, Stony Brook, NY, United States |
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Texture features obtained from peritumoral area of diagnostic MR image of Glioblastoma Multiforme were used to improve texture based prediction of tumor progression. The peritumoral area was drawn and examined then derived texture features were added to conventional model to improve performance. |
| 1728 | Multiparametric MRI Texture Analysis in Prediction of Genetic Biomarkers in Patients with Brain Glioma | |
| Shingo Kihira1, Nadejda Tsankova2, Adam Bauer3, Yu Sakai1, Nicole Zubizarreta4, Jane Houldsworth2, Fahad Khan2, Adilia Hormigo5, Constantinos Hadjipanayis6, and Kambiz Nael1 | ||
1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, Kaiser Permanente Fontana Medical Center, Fontana, CA, United States, 4Institute for Health Care Delivery Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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In this retrospective study, we used a commercially available texture analysis software (Olea Medical) to construct a multiparametric MRI radiomic model that can be used to predict several important prognostic biomarkers in a cohort of patients with brain glioma. A total of 92 texture features were calculated from both FLAIR and T1C+ images using a volume-of-interest analysis encompassing the entire FLAIR hyperintense tumor. Radiomic features obtained from our multiparametric MR texture model were able to predict genetic biomarkers of brain glioma with predictive accuracies ranging from modest (62.4%) for MGMT to nearing 90% for IDH-1 and ARTX. |
| 1729 | Prediction of high-grade glioma prognosis based on radiomics features of tumor and peritumoral edema areas from magnetic resonance imaging | |
| YiXin HU1, Lan Li1, JiuQuan Zhang1, and Jianqing SUN2 | ||
1Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, ChongQing, China, 2Philips Healthcare, Shanghai, China |
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To build a radiomics signature from MR images to predict high grade glioma (HGG, WHO grade III and IV) patients with different prognosis. Then, to explore the predictive value based on the edge of the tumor area and PBZ, respectively. |
| 1730 | Differential diagnosis of solitary fibrous tumor/hemangiopericytoma and angiomatous meningioma using 3D-MRI texture feature model | |
| Junyi Dong1, Yangyingqiu Liu2, Yanwei Miao1, Huicong Shen3, and Yan Guo4 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian,116011,China, Dalian, China, 2Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian,116011,China, Dalian, China, 3Beijing Tiantan hospital, Beijing, China, 4Life science, Shenyang, China |
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Intracranial solitary fibrous tumor(SFT)/hemangiopericytoma (HPC) is a rare malignant tumor originating from the intracranial vasculature, while Angiomatous meningioma (AM) is also a rare benign one as a histological subtype of meningioma with World Health Origination (WHO) grade I. The two tumors have similar location and conventional MRI features, but the treatment and prognosis are quite different. Texture analysis can get more information that can't be seen in conventional MRI images. It is very necessary to establish the differentiation model of texture analysis between the two kinds of tumors. |
| 1731 | WITHDRAWN |
| 1732 | Diffusion Histology Imaging Characterizes and Differentiates Various Tumor Histological Features in High-Grade Brain Tumors | |
| Zezhong Ye1, Sam E. Gary2, Jeffrey D. Viox3, Anthony T. Wu4, Joshua Lin5, Peng Sun1, Joshua B. Rubin6, Sonika Dahiya7, and Sheng-Kwei Song1 | ||
1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, AL, United States, 3School of Medicine, University of Missouri - Kansas City, Kansas City, MO, United States, 4Biomedical Engineering, Washington University, St. Louis, MO, United States, 5Keck School of Medicine, The University of Southern California, Los Angeles, CA, United States, 6Pediatrics, Washington University School of Medicine, St. Louis, MO, United States, 7Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States |
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Current clinical diagnosis, surgical resection, and assessment of treatment response for high-grade brain tumor patients relies heavily on gadolinium-enhanced T1-weighted MRI, although such imaging is non-specific for tumor and merely reflects a disrupted blood-brain barrier. The complex tumor microenvironment and spatial heterogeneity make high-grade brain tumor very difficult to characterize using current clinical imaging modalities. We developed a novel imaging strategy to characterize key tumor histological features and demonstrated its capability to accurately predict these histology. Extending this approach to larger cohorts of both tumor specimens and patients could provide further validation and facilitate its clinical translation for patient management. |
| 1733 | Assessment of Cerebello-Thalamo-Cortical (CTC) Fiber Pathways in Post-Surgical Medulloblastoma Patients Using a CTC Template | |
| Qing Ji1, Matthew Scoggins1, Angela Edwards1, John O. Glass1, Tara Brinkman2,3, Zoltan Patay1, and Wilburn E. Reddick1 | ||
1Diagnostic Imaging, St.Jude Children's Research Hospital, Memphis, TN, United States, 2Psychology, St.Jude Children's Research Hospital, Memphis, TN, United States, 3Epidemiology and Cancer Control, St.Jude Children's Research Hospital, Memphis, TN, United States |
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A CTC fiber pathway template was built in MNI space from the CTC data of 10 healthy controls. The template was aligned with the principle diffusion directions of each individual DTI data of additional 10 healthy controls and 11 post-surgical medulloblastoma patients using a linear algorithm developed in this study. The aligned template can accurately mimic the real CTC pathways in an individual subject in both healthy and post-surgical subjects. The DTI parameter values in post-surgical medulloblastoma patients can be accessed using the transformed CTC pathway. |
| 1734 | Non-invasive separation of low and high grade gliomas with diffusion kurtosis decomposition (DKD) | |
| Sirui Li1, Wenbo Sun1, Yuan Zheng2, Qing Wei3, Samo Lasic4, Shihong Han3, Shuheng Zhang3, Danielle van Westen5, Karin Bryskhe4, Daniel Topgaard4,5, and Haibo Xu1 | ||
1Zhongnan Hospital of Wuhan University, Wuhan, China, 2UIH America, Inc., Houston, TX, United States, 3United Imaging Healthcare, Shanghai, China, 4Random Walk Imaging, Lund, Sweden, 5Lund University, Lund, Sweden |
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Diffusion kurtosis decomposition (DKD) is a novel advanced diffusion MRI modality relying on customized pulse sequences and high-performance hardware to assess cell shapes and density heterogeneity via the anisotropic and isotropic mean kurtosis parameters, MKa and MKi, which are fundamentally different microstructural properties that are inextricably entangled in conventional diffusion kurtosis imaging (DKI). We have investigated DKD imaging of gliomas in a clinical setting, and for the first time established the correlations between MKa, MKi, and tumor grade. In comparison to conventional diffusion methods, DKD more accurately describes the microstructural changes and provides a useful tool for glioma diagnosis. |
| 1735 | Tumor Grading of Glioma by Histogram Analysis Based on Multiple Advanced Diffusion Models, including DTI, DKI, MAP-MRI and NODDI | |
| Gao Ankang1, Zhang Huiting2, Yang Guang3, Wang Shaoyu2, Yan Xu2, Bai Jie1, and Cheng Jingliang1 | ||
1MRI, Dept. of MRI, 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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Diffusion imaging is widely used to noninvasively detect the microscopic diffusion properties of biological tissues in vivo. Advanced diffusion models were recently proposed to provide additional microstructure information. In present work, we applied four diffusion models in glioma grading, including DTI, DKI, MAP-MRI and NODDI model, which could be acquired within a single scan. |
| 1736 | Track-density imaging (TDI): Evaluating the peritumoral white matter areas of glioblastoma | |
| Gao Ankang1, Chen Qianqian1, Zhu Jinxia2, Stefan Huwer3, Bai Jie1, and Cheng Jingliang1 | ||
1MRI, Dept. of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd., Beijing, China, Beijing, China, 3Siemens Healthcare GmbH, Erlangen, Germany, Erlangen, Germany |
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By observing the gradually developing characteristics of track density in the area of peritumoral edema, the extent of possible tumor invasion was judged. This may contribute to neurosurgical planning, the postoperative quality of life, and longer survival expectancy. Simultaneously, TDI was able to show the crossing fibers of the tumor part but could not resolve the disturbed diffusion of severe peritumoral edema’s influence on the fibers. |
| 1737 | Along-tract quantitative analysis of arcuate fasciculus for awake glioma surgery | |
| Lia Talozzi1, Matteo Martinoni2, Micaela Mitolo 3, Filippo Badaloni2, Sofia Asioli1,4, Claudia Testa5, Raffaele Lodi1,6, and Caterina Tonon1,3 | ||
1Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 2IRCCS Istituto delle Scienze Neurologiche di Bologna, Neurosurgery Unit, Bologna, Italy, 3IRCCS Istituto delle Scienze Neurologiche di Bologna, Neuroradiology Functional Diagnostic Unit, Bologna, Italy, 4Section of Anatomic Pathology 'M. Malpighi', Bellaria Hospital, Bologna, Italy, 5Physics and Astronomy, University of Bologna, Bologna, Italy, 6, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy |
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Probabilistic arcuate fasciculus (AF) tractography was computed in healthy controls (HC) and for a patient with a diffuse glioma, IDH 1 wild type left frontal lobe. Bilateral curvature mapping and along-tract DTI measures were evaluated, modelling surface geometry. In HC, hemispheric asymmetries in tract curvature showed a more lateral and inferior trajectory on the left, not measured for the patient’s left AF, medially dislocated. In HC, a left-lateralized asymmetries (higher FA and volume) was measured, and it was preserved for the patient. During pre-surgical evaluation, the proposed developed tractography analyses allowed a quantitative investigation of AF dislocation and microstructural integrity. |
| 1738 | Minimizing false streamlines in anatomically constrained tractography for neurosurgery guidance in patients with brain neoplasms | |
| Daniel Krahulec1, Ahmed Radwan2, Stefan Sunaert2, Maarten Versluis1, Kim van de Ven1, and Marcel Breeuwer1,3 | ||
1MR R&D Clinical Science, Philips Healthcare, Best, Netherlands, 2Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium, 3Department of Biomedical Engineering – Medical Image Analysis, Eindhoven University of Technology, Eindhoven, Netherlands |
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A data analysis pipeline comprising KUL neuroimaging tools was applied to analyze diffusion and anatomical MRI datasets with neoplastic lesions and perform diffusion tractography with anatomical priors. We utilized a novel framework for reducing the amount of false positive streamlines to allow for improved visualization of different fiber bundles. Results illustrate the meaningfulness of this approach in neurosurgery workflow through offering clinicians more information on the quality of perilesional fiber bundles as well as where to resect with care to preserve functionally eloquent areas. |
| 1739 | Do advanced fMRI and tractography preoperative evaluations correspond to intraoperative findings? A pilot evaluation in brain tumour patients. | |
| Marco Borri1, Jose Pedro Lavrador2, Irene Brumer1,3, Enrico De Vita4, Jonathan Ashmore1,5, Francesco Vergani2, Ranjeev Bhangoo2, Keyoumars Ashkan2, and Jozef Jarosz1 | ||
1Neuroradiology, King's College Hospital, London, United Kingdom, 2Neurosurgery, King's College Hospital, London, United Kingdom, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, London, United Kingdom, 5Department of Medical Physics and Bioengineering, NHS Highland, Inverness, United Kingdom |
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In this work we have evaluated the feasibility of incorporating advanced fMRI and tractography evaluations into the real-life presurgical management of patients undergoing brain lesion resections. In this pilot cohort of patients, all major preoperative imaging findings were validated by intraoperative measurements. With the inclusion of fMRI end regions, probabilistic tractography allowed a better reconstruction of the corticospinal tract and its branches in regions adjacent or within the tumour with altered or damaged fibre architecture. Robust fMRI-based language lateralization was able to describe likely dominance, in agreement with intraoperative findings and initial postoperative deficit. |
| 1740 | IVIM analysis using Total Variation Penalty Regularization Based Model for Brain Tumor Analysis | |
| Mridula Vij1, Archana Vadiraj Malagi1, Esha Badiya Kayal1, Jitender Saini2, and Amit Mehndiratta1 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, India |
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The occurrence of brain tumor is increasing; it is believed that early detection will prove to be beneficial for its treatment. IVIM has proved to provide valuable information and has been explored for brain tumor in prior studies. In the following study, IVIM analysis for brain tumor detection was performed using a novel Biexponential model with Total Variation regularization function (BE+TV model), and a comparison with established Biexponential model was performed. Improvement in coefficient of variation by 16.5 to 43.4% was observed across IVIM parameter. Perfusion faction was estimated to be reliably with this novel methodology. |
| 1741 | Do targeted biopsies improve the correlation between ADC and cellularity in patients with glioma? | |
| Simran Kukran1,2, Marianna Inglese2, Katherine L Ordidge2,3, Claire Davies 2, Lesley Honeyfield3, Babar L Vaqas4, Sophie Camp4, David Peterson4, Kevin O'Neill4, Clara Limback-Stanic5, Tara Barwick2,3, Adam Waldman6,7, and Matthew Grech-Sollars2,3 | ||
1Department of Radiotherapy and Imaging, Institute of Cancer Research, Sutton, United Kingdom, 2Department of Surgery and Cancer, Imperial College London, London, United Kingdom, 3Department of Imaging, Imperial College London, London, United Kingdom, 4Department of Neurosurgery, Imperial College London, London, United Kingdom, 5Department of Histopathology, Imperial College London, London, United Kingdom, 6Department of Medicine, Imperial College London, London, United Kingdom, 7Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom |
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It is thought that hypercellular regions of glioma have lower ADC values via a restriction in flow path, but there is no consensus regarding the correlation between ADC values and the cellularity of histological biopsies. In this study a slightly stronger negative correlation was observed between sample cellularity and the average ADC across the biopsy region as compared to the average ADC across the whole tumour in patients with glioma. However, neither correlation was found to be significant, which could be due to a small cohort size and the variation in tumour biological factors other than cellularity affecting ADC. |
| 1742 | Histogram analysis in predicting the grade and histological subtype of meningiomas based on diffusion kurtosis imaging | |
| Xiaodan Chen1, Ying Chen2, Lin Lin3, Jie Wu4, and Guang Yang4 | ||
1Radiology, Fujian Cancer Hospital, Fuzhou, China, 2Fujian Cancer Hospital, Fuzhou, China, 3Fujian Medical University Union Hospital, Fuzhou, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, Shanghai, China |
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Objectives Presurgical grading is particularly important for selecting the best therapeutic strategy for meningioma patients. Therefore, our study is to investigate the value of histogram analysis of diffusion kurtosis imaging (DKI) maps in the differentiation of grades and histological subtypes of meningiomas.Methods A total of 172 patients with histopathologically proven meningiomas underwent preoperative magnetic resonance imaging (MRI) and were classified into low-grade and high-grade groups. Mean Kurtosis (MK), fractional anisotropy (FA), mean diffusivity (MD) histograms were generated based on solid components of the whole tumour. The following parameters of each histogram were obtained：10th， 25th， 75th, and 90th percentiles, mean，median，maximum，minimum，and kurtosis, skewness, and variance. Comparisons of different grades and subtypes were made by Mann-Whitney U test，Kruskal-Wallis tests, ROC curves analysis, and multiple logistic regression.Results Significantly higher maximum, Skewness, and variance of MD, mean, median, maximum, variance, 10th, 25th, 75th, and 90th percentile of MK were found in high-grade than low-grade meningiomas (all P<0.05). DKI histogram parameters differentiated 7 of 10 pairs of subtype pairs (atypical versus meningothelial/ fibrous/transitional/angiomatous meningiomas; angiomatous versus fibrous/transitional meningioma; fibrous versus meningothelial meningiomas). The 90th percentile of MK yielded the highest AUC of 0.870 and was the only independent indicators for grading meningiomas.Conclusion The histogram analysis of DKI is useful for differentiating meningioma grades and subtypes. The 90th percentile of MK may serve as an optimal parameter for predicting the grade of meningiomas. |
| 1743 | Evaluation of glioma grade and proliferation activity by different diffusion-weighted-imaging models: including DKI and MAP-MRI | |
| shenghui Xie1, shaoyu Wang2, xu Yan2, huapeng Zhang2, guang Yang3, and yang Gao1 | ||
1Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2Siemens Healthineers, Shanghai, China, 3East China Normal University, Shanghai, China |
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The purpose of this study was to explore the diagnostic value of multimode diffusion imaging in the evaluation of glioma tumor grade and proliferation activity. (DKI) and MAP-MRImodel). The results showed that there were significant differences in MK, RTOP and QIV between high and low grade glioma, and the values of MK and QIV of the tumor parenchyma were positively correlated with ki-67. MK and QIV have great potential in predicting tumor proliferation activity. Multimode diffusion-weighted imaging is valuable for the evaluation of preoperative glioma grade and tumor proliferation activity. |
| 1744 | The value of 3D ASL and DTI combined with conventional MRI features in differential diagnosis of hemangiopericytoma and angiomatous meningioma | |
| rui hu1, yi jun wu1, wen chen1, ke hua zheng1, dai zhong wang1, and lin xu1 | ||
1taihe hospital, shiyan, China |
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To investigate the value of MRI characteristics in the differential diagnosis of hemangiopericytoma and angiomatous meningioma.15 cases of AM and 11 cases of the HPC which were confirmed by pathology. MRI sequences were routinely available. The mean ADC values of HPC was significantly higher than that of AM (t = 2.613, p =0.02). The mean CBF values (t= -8.99, P<0.01) and FA values (t= -3.66, P<0.01) were lower for HPC compared with AM. MRI imaging characteristics of HPC and AM have significant difference. Combining structural MRI comparative analysis and functional MRI was useful for distinguishing HPC from MA. |
| 1745 | The difference between multicentric gliomas and diffuse gliomas: evidence from the probabilistic fiber tracking by diffusion tensor imaging | |
| Simin Zhang1, Xiaorui Su1, Weina Wang1, Qiang Yue1, and Qiyong Gong1 | ||
1Huaxi MR Research Center，Department of Radiology, West China Hospital of Sichuan University, Chengdu, China |
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Multicentric gliomas are rare lesions of central nervous system. Due to the invasive nature of glioma, differentiating multicentric gliomas from diffuse gliomas is difficult. As yet there remains lack of methods to elucidate lesions are totally separated unless surgical biopsy. We use probabilistic fiber tracking to identify the white matter dissemination routes. Our results showed the connectivity value and probabilistic value of the lesions in multicentric gliomas were significantly lower than the lesions in diffuse gliomas. The features provide new insight into multicentric gliomas and may aid in accurate classification of multicentric glioma and diffuse glioma in vivo. |
| 1746 | Multi-level fiber tracking: evaluation on clinical data | |
| Andrey Zhylka1, Nico Sollmann2,3, Alberto De Luca4, Daniel Krahulec5, Marcel Breeuwer1,5, Alexander Leemans4, and Josien Pluim1 | ||
1Biomedical Engineering department, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Diagnostic and Interventional Neuroradiology, , Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 3TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany, 4University Medical Center Utrecht, Utrecht, Netherlands, 5MR R&D Clinical Science, Philips Healthcare, Best, Netherlands |
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Conventional deterministic fiber tractography approaches commonly used in clinical applications are prone to generating false-negative reconstructions, which might influence further decision-making related to treatment and repeated surgery in patients with brain tumors. Surgery-related effects, such as blood inflow into white matter and edema, further distort the diffusion signal, complicating the task of tractography. We evaluated a novel multi-level fiber tractography approach on data of subjects who had undergone tumor resection. A comparison with conventional deterministic approaches is performed. The results were correlated with the reported motor-function deficit grades. |
| 1747 | Compressed Sensed MPRAGE with Parallel Imaging: Image Quality Metrics and Morphometry Study at 3T | |
| David D Shin1, Dan Rettmann2, Naoyuki Takei3, and Suchandrima Banerjee1 | ||
1GE Healthcare, Menlo Park, CA, United States, 2GE Healthcare, Rochester, MN, United States, 3GE Healthcare, Hino Tokyo, Japan |
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While there is a growing trend for using volumetric acquisitions for brain MRI, long acquisition times still limit their adoption. There is still a tremendous need to reduce scan time of these volumetric acquisitions to improve workflow productivity and to reduce the likelihood of motion during the scan. MPRAGE sequence is a key 3D brain acquisition because of its excellent gray-white contrast which is ideal for visualization of substructures, segmentation and morphometric measurements. This work takes a rigorous quantitative approach to investigating the effects of compressed sensing and parallel imaging factors on various tissue measurements derived from accelerated MPRAGE images. |
| 1748 | Detectability of the Dura Matter at 7T using Compressed Sensing | |
| Olivier E Mougin1, Joshua McAteer1, Matthan Caan2, and Penny A Gowland1 | ||
1School of Physics and Astronomy, SPMIC, Nottingham, United Kingdom, 2Department of Biomedical Engineering & Physics, Amsterdam University Medical Center, Amsterdam, Netherlands |
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High resolution of the dura matter is useful to detect and follow meningeal pathology. We presented 0.5mm isotropic images obtained at 7T, using compressed sensing to reduce the acquisition time and improve the detectability of the dura matter. Acceleration up to a factor of 8 was possible with broadening of the PSF of the dura visible at acceleration factor higher than 6. |
| 1749 | The Feasibility of Accelerated Brain 3D T1WI MRI Using Compressed Sensing: Qualitative and VBM validation | |
| Yunyun Duan1, Yaou Liu1, and Jiazheng Wang2 | ||
1Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2Philips (China) Investment Co., Ltd, Beijing, China |
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A major barrier of clinical application of 3D T1 sequence is the long acquisition time. Compressed SENSE (CS-SENSE) was introduced into the clinical routine and showed reduced scan time without reduced image quality. However, automatically quantitative assessment of brain structure has not been certificated up to date. This study evaluated the different acceleration factors of CS-SENSE or SENSE of a 3D brain T1 sequence with qualitative and quantitative measurements in health volunteers and patients, in order to assess the feasibility of 3D brain structural imaging acceleration. |
| 1750 | Evaluating brain MRE optimal conditions at low and high excitation frequencies | |
| Fatiha Andoh1, Marion Tardieu2, Claire Barakat Pellot3, and Xavier Maître1 | ||
1Univ. Paris Saclay, IR4M Laboratory, Orsay, France, 2Institut du Cancer de Montpellier, ICM, Montpellier, France, 3INSERM, IMIV Laboratory, Orsay, France |
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Mechanical parameters may be underestimated by MR-Elastography if data
quality is not properly monitored to discarded inaccurate and unprecised biased
data. Optimal condition defined by proper spatial data sampling upon λ/a≈[6;9] can
alleviate the quality requirements by lowering Qthreshold, which is defined on each dataset at the drop
of correlation between the quality factor and the targeted mechanical parameters. |
| 1751 | Quantitative susceptibility mapping: comparison of reproducibility between 3T and 7T | |
| Pascal Spincemaille1, Julie Anderson2, Gaohong Wu2, Baolian Yang2, Maggie Fung2, Ke Li2, Shaojun Li1, Ilhami Kovanlikaya1, Ajay Gupta1, Doug Kelley, 2, Nissim Benhamo2, and Yi Wang1 | ||
1Weill Cornell Medicine, New York, NY, United States, 2General Electrical Healthcare, Waukesha, WI, United States |
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In this work, we compare the performance of QSM at 7T versus 3T in an intra-scanner test-retest experiment with varying echo numbers and in an image quality analysis. QSM was reproducible within fixed field strength when the same number of echoes were used. Across field strengths and with different numbers of echoes, QSM was reproducible between the 3T acquisition with 10 echoes and the 7T acquisition with 5 echoes. The preliminary data suggest that 7T can be used to shorten QSM acquisition time or enable higher resolution QSM in clinically acceptable scan times. |
| 1752 | Comparison of advanced quantitative diffusion MRI parameter in a multi-site MR study using the traveling volunteer approach | |
| Daniel Güllmar1, Renat Sibgatulin1, Stefan Ropele2, and Jürgen R Reichenbach1,3 | ||
1Medical Physics Group / IDIR, Jena University Hospital, Jena, Germany, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Michael-Stifel-Center for Data driven sciences, Friedrich-Schiller-University Jena, Jena, Germany |
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If quantitative diffusion measures are acquired at different sites but identical hardware and protocol settings, it remains unclear if a site bias would require a data homogenization in order to pool the data for analysis. A traveling volunteer (including four subjects) approach was applied and different complex diffusion measure as well as diffusion tensor metrics were computed based on the measurements at two different sites. Our results suggest that the inter-site differences are much smaller than the inter-subject differences in the ROI based analysis. The voxel-wise analysis was found to be more susceptible to incomplete artifact compensation and registration errors. |
| 1753 | Assessing and comparing the suitability of 3D Gradient Echo and VIBE for quantifying subtle blood-brain barrier leakage | |
| Nicholas G Dowell1, Nourah Alruwais2, Paul S Tofts1, and Jennifer Rusted2 | ||
1CISC, Brighton and Sussex Medical School, Brighton, United Kingdom, 2School of Psychology, University of Sussex, Brighton, United Kingdom |
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There is increasing interest in measuring leakage across the blood-brain barrier (BBB) to assess its response to pathology, inflammation or ageing. Quantifying permeability of the BBB is typically performed using dynamic contrast enhanced (DCE) MRI which involves repeated T1-weighted imaging following administration of a Gd contrast agent. In this work, we assess the suitability of two popular DCE acquisition approaches to BBB permeability: (1) a slow gradient echo approach and (2) fast T1-weighted imaging using the VIBE technique . We discuss the advantages and disadvantages of both techniques and recommend the optimum technique for quantification of subtle BBB permeability. |
| 1754 | In vivo performance evaluation of silicon carbide dielectric pads for 7T MRI. | |
| Zo Raolison1, Redha Abdeddaïm2, Marc Dubois2, Michel Luong3, Luisa Neves1, Franck Mauconduit3, Stefan Enoch2, Kaizad Rustomji1, Clarence Quinaux1, Nicolas Malléjac4, Pierre Sabouroux2, Fawzi Boumezbeur3, Patrick Berthault5, Mikhail Zubkov6, Anne-Lise Adenot-Engelvin4, Lucie Hertz-Pannier3, and Alexandre Vignaud3 | ||
1Multiwave Imaging, Marseille, France, 2Aix Marseille Université, Marseille, France, 3CEA-DRF/Joliot/Neurospin, Gif-sur-Yvette, France, 4CEA-DAM Le Ripault, Monts, France, 5CEA-DRF/IRAMIS/NIMBE/LSDRM, Gif-sur-Yvette, France, 6Faculty of Physics and Engineering, ITMO University, Saint Petersburg, Russian Federation |
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Dielectric pads have demonstrated to be a simple and yet efficient solution to mitigate locally RF transmission heterogeneities while using classic 7T MRI birdcage. Extensive research has not yet been carried on alternative candidate to water-based perovskites. The grail would be a long-lasting, comfortable, MR invisible, efficient, unalterable and high permittivity soft material. In this study, a novel material based on silicon carbide particles and addressing those requirements was successfully compared to perovskite pads from the literature in terms of B1+ homogeneity and image contrast through in vivo measurements. |
| 1755 | Intraplatform Repeatability and Interplatform Agreement of Whole-Brain 3D MRE | |
| Yuxiang Zhou1, Yuan Le2, Kevin J Glaser2, Jun Chen2, Roger C Grimm2, Arvin Arani2, Bradley D Bolster, Jr3, Stephan Kannengiesser4, John Huston III2, Joel P Felmlee2, Richard L Ehman2, and Joseph M Hoxworth1 | ||
1Radiology, Mayo Clinic, Phoenix, AZ, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States, 3Siemens Medical Solutions USA, Inc., Salt Lake City, UT, United States, 4Siemens Healthcare GmbH, Erlangen, Germany |
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Using MRE to evaluate the brain requires acquisition of the full 3D wave field and application of 3D inversion processing to generate valid stiffness maps. The goal of this study was to assess the precision and cross-platform reproducibility of whole brain stiffness measurements obtained with prototype 3D SE-EPI-based MRE techniques, as implemented on GE and Siemens MRI platforms, with the goal of standardization. Our data showed excellent intraplatform repeatability and good interplatform agreement. |
| 1756 | The effect of distinct spatial resolution on quantitative maps using synthetic MRI | |
| Tie-bao Meng1, Haoqiang He1, Huiming Liu1, Weijing Zhang1, Chenghui Huang1, Long Qian2, and Chuanmiao Xie1 | ||
1Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
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In the field of neuroscience, an emerging technology named relaxation quantitative MRI (RQ-MRI) have demonstrated its great potential in both clinic and research. Among those RQ-MRI related technologies, the synthetic MRI has moved rapidly towards clinical application due to its acceptable acquisition time. However, how the spatial resolution of synthetic MRI impacts the quantitative maps is still largely unclear. To address this question, in current study, a total of 13 normal subjects with four distinct spatial resolutions were applied. Our results demonstrated that both the in-plane resolution and slice thickness have significantly influence on the measured quantitative values. |
| 1757 | Evaluation of 3D FLAIR Combined Compressed Sense Technology in Cerebrospinal Fluid Flow Artifacts Reduction: Comparison with 2D FLAIR | |
| Si Xu1, XiaoMing Liu1, and JiaZheng Wang2 | ||
1Departments of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, WuHan, China, 2Philips Healthcare, BeiJing, China |
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3D FLAIR TSE imaging can effectively inhibit cerebrospinal fluid flow artifacts, but the scanning time is long, affecting clinical application. Compressed sensing (CS) is a technique to accelerate the acquisition of magnetic resonance imaging (MRI) by using sparsity constraints during readout measurements of k-space. This study aimed to compare the cerebrospinal fluid flow artifacts and overall image quality in CS 3D FLAIR TSE imaging combined and in 2D FLAIR TSE imaging. Results showed that CS 3D FLAIR TSE yielded better image quality, enhanced diagnosis performance, and reduced fluid flow artifacts when compared to the traditional 2D FLAIR TSE sequence. |
| 1758 | Try this at home: Ex vivo Human Brain at 200 Micron Resolution with a Simple Set Up. | |
| Sanghoon Kim1, Ken Sakaie1, Mark J Lowe1, and Stephen E Jones1 | ||
1Cleveland Clinic Imaging Institute, CLEVELAND, OH, United States |
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Postmortem, whole-brain MRI provides an opportunity to investigate anatomy at spatial resolution approaching that of histology without the distortions and limited coverage inherent to histology. Previous work with ex vivo imaging has been done using a sophisticated process with additional steps, such as a custom-built vibration apparatus to remove air bubbles, proton-free oil to eliminate background signal and modifications to the image reconstruction hardware to deal with the large quantity of imaging data as well as a custom RF coil. The results shown here suggest that similar data can be readily acquired without taking extraordinary or costly measures. |
| 1759 | Postmortem Whole-Brain MP2RAGE Optimization at 3T: A New Imaging Window into Multiple Sclerosis Cortical Pathology | |
| Matthias Weigel1,2,3, Riccardo Galbusera1,2, Reza Rahmanzadeh1,2, Muhamed Barakovic1,2, Po-Jui Lu1,2, Ludwig Kappos2, Wolfgang Brück4, Tobias Kober5,6,7, Peter Dechent8, and Cristina Granziera1,2 | ||
1Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 3Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 4Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany, 5Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Department of Cognitive Neurology, MR-Research in Neurology and Psychiatry, University Medical Center Göttingen, Göttingen, Germany |
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The MP2RAGE sequence provides fast volumetric T1 weighted MR imaging and offers the possibility to reconstruct quantitative T1 maps. Therefore, it is frequently applied for studying Multiple Sclerosis pathologies in recent years. The present work investigates and explains necessary protocol changes for applying MP2RAGE in fixated human brain acquisitions. Using the established protocol, it is shown that strong soft tissue contrast is reinstated and quantitative T1 values can be derived for normal appearing gray matter and lesions. Based on the feasibility of using long scan times, the isotropic resolution of the MP2RAGE could be even increased to 0.75mm. |
| 1760 | Quantifying Cerebral Microbleeds using MPRAGE-based Quantitative Susceptibility Mapping | |
| Nashwan Naji1, Myrlene Gee1, Glen C. Jickling2, Richard Camicioli2, and Alan H. Wilman1 | ||
1Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Division of Neurology, University of Alberta, Edmonton, AB, Canada |
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The MPRAGE sequence is commonly included in brain studies for structural imaging using magnitude images; however, its phase images can provide an opportunity to assess microbleed burden using Quantitative Susceptibility Mapping (QSM). In this study, the mean susceptibility and the cross-sectional area of cerebral microbleeds were assessed using a susceptibility map derived from the phase of the MPRAGE sequence, with comparison to QSM measurements based on standard multi-echo gradient-echo. Microbleeds were well visualized on MPRAGE-QSM with susceptibility generally higher on MPRAGE-QSM, mostly due to mismatch in spatial resolution and SNR. |
| 1761 | Improved presentation of brachial plexus at 3T using diffusion-weighted imaging with multiple interleaves in the phase-encode direction | |
| Ke Jiang1, Jiazheng Wang1, and Yuefei Ma1 | ||
1Philips Healthcare Greater China, Beijing, China |
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Diffusion weighted imaging for brachial plexus can provide useful information for clinical applications. However, clinical DWI usually employs single-shot EPI for signal acquisition, which suffers from image distortion or signal loss especially in the imaging in the head-neck regions due to the spatial variation in B0 field. This work demonstrated the application of a multi-interleave DWI sequence that achieves quality brachial plexus imaging with a resolution of 1.9x1.9 mm2 at 3T system. |
| 1762 | Vascular space occupancy asymmetric spin echo (VASO-ASE) for regional cerebral oxygen extraction fraction mapping | |
| Spencer L. Waddle1, Maria E. Garza1, and Manus J. Donahue1,2,3 | ||
1Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, United States |
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The asymmetric spin echo technique (ASE) can be used to collect maps of R2’ and calculate cerebral oxygen extraction fraction (OEF). However, these models require extravascular signal only, which is often not fully achieved in standard ASE approaches. Here, a vascular-space-occupancy (VASO) prepulse is used to null intravascular signal in a novel VASO-ASE method, and repeatability measurements of parenchymal versus extravascular R2’ are presented. VASO-ASE was found to provide physiological OEF (34.1±5.3%) and higher reproducibility in controls compared to standard ASE. |
| 1763 | Isotropic High-Resolution Brain T1rho Mapping with 3D FLAIR MAPSS at 3T | |
| Qi Peng1, Can Wu2, Xiaojuan Li3, Michael L Lipton1, and Craig Branch1 | ||
1Gruss Magnetic Resonance Research Center, Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 2Philips Healthcare, Andover, MA, United States, 3Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, United States |
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Quantitative T1rho (T1ρ) mapping MRI has recently gained wider clinical/research application in human brain imaging. However, high resolution 3D brain T1rho mapping on clinical scanners is still time consuming with compromised quantitative accuracy due to image blurring or artifacts. We propose a 3D FLAIR MAPSS T1rho imaging scheme, which combines CSF-suppression with 3D MAPSS sequence for improved quantitative accuracy in T1rho mapping. Phantom, volunteer, and patient studies validated its sensitivity and reliability for isotropic high resolution of voxel size (1.3mm)3 quantitative mapping using continuous-wave or adiabatic RF pulse T1rho preparation, acquired within clinically acceptable scan duration at 3T. |
| 1764 | Evaluation of 4D ultrashort TE MR Angiography using Variable Inversion Time. | |
| Haruyuki Fukuchi1,2, Nao Takano3, Yutaka Ikenouchi2, Michimasa Suzuki2, Osamu Abe1, and Shigeki Aoki2 | ||
1Department of Radiology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan, 2Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 3Department of Radiology, Juntendo University Hospital, Tokyo, Japan |
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We developed a novel method, Variable TI, to improve the visibility of ASL based UTE 4D-MRA. In the phantom study and the volunteer study, the Variable TI UTE 4D-MRA offered a higher signal intensity and improved visualization of arteries in late phase compared to the conventional method. The Variable TI technique can improve clinical usability of 4D-MRA because this technique not only offered better visibility of arteries but also realized the data efficacy and reduced reconstruction time. |
| 1765 | Simultaneous Brain/Spinal Cord fMRI reveals Subject-Level Activation Differences under Noxious Thermal Stimulus | |
| Christine Sze Wan Law1, Ken Arnold Weber1, Sean Mackey1, and Gary Glover1 | ||
1Stanford University, Stanford, CA, United States |
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Functional activation within brain has been studied extensively via BOLD fMRI. Limiting investigation to brain alone provides a truncated view of the central nervous system as it does not capture information exchange between brain and spinal cord. Simultaneously imaging brain, brainstem, and cervical spine provides insight into pain modulation pathways because dorsal horn is the first synapse connecting periaqueductal gray with cortical pain regions. Sprenger & Finsterbusch (2015) have shown group-level functional connection of brain to spinal cord under noxious thermal stimulus. Here, we investigate subject-level differences in neural activity in brain-spinal cord. |
| 1766 | Initial feasibility of a multi-band PSF-mapping based, reverse-gradient approach with geometric distortion correction for whole-brain fMRI | |
| Myung-Ho In1, Daehun Kang1, Hang Joon Jo2, Uten Yarach1, Nolan K. Meyer1, Joshua D Trzasko1, Erin M Gray1, John III Huston1, Matt A Bernstein1, and Yunhong Shu1 | ||
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Physiology, College of Medicine, Hanyang University, Seoul, Korea, Republic of |
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A point-spread-function mapping-based reverse-gradient approach was demonstrated as a viable method to correct severe susceptibility artifacts for deep-brain-stimulation fMRI in a pig model, but at the cost of reduced temporal resolution. Interleaved acquisition of the echo-planar-imaging was used with opposite phase-encoding polarities. In this work, feasibility was evaluated in in-vivo resting-state fMRI reliability in high-susceptibility regions. To compensate for the reduced temporal resolution, multi-band imaging was used, and the improved reliability in highly susceptible regions was evaluated on both standard whole-body and high-performance compact 3T scanners. |
| 1767 | Accelerating magnetic resonance angiography using Compressed SENSE technology - a prospective multi-center study | |
| Jinli Ding1, Yunyun Duan1, Zhizheng Zhuo1, Yawei Yuan2, Guiqing Zhang2, Qingwei Song3, Bingbing Gao3, Bing Zhang4, Maoxue Wang4, Linlin Yang5, Yang Hou5, Fenglian Zheng1, Xiaoya Chen6, Yishi Wang7, and Yaou Liu1 | ||
1Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2Beijing Royal Integrative Medicine Hospital, Beijing, China, 3First Affiliated Hospital of Dalian Medical University, Dalian, China, 4Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Jiangsu, China, 5Shengjing Hospital of China Medical University, Shenyang, China, 6the First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 7Philips Healthcare, Beijing, China |
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Clinical feasibility of using Compressed SENSE (CS-SENSE) technology to shorten the scan time of Time-of-flight (TOF) magnetic resonance angiography (MRA) and optimal acceleration factor were investigated via a multi-center study. Ninety subjects underwent 8 customized TOF-MRA sequences including sequences with CS-SENSE technology, SENSE technology and without acceleration technology. Subjective assessments including evaluations of artery branches and artifacts, and objective measurements including signal-to-noise ratio, contrast-to-noise ratio and peak signal-to-noise ratio were performed. The results indicated that TOF-MRA using CS-SENSE with an optimal acceleration factor (4 to 6) provided comparable results compared with traditional TOF-MRA sequences, and significantly increased the scan efficiency. |
| 1768 | Evaluation of Compressed Sensing Approaches for Rapid Anatomical Imaging of Patients with Brain Tumors | |
| Janine M Lupo1, Javier Villanueva-Meyer1, Maryam Vareth1,2, David Shin3, Emma Bahroos1, Angela Jakary1, Brian Burns3, and Suchandrima Banerjee3 | ||
1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Berkeley Institute for Data Science, UC Berkeley, Berkeley, CA, United States, 3GE Healthcare, Menlo Park, CA, United States |
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Compressed Sensing with parallel imaging can allow for an accelerated anatomical imaging protocol for imaging patients with brain tumors, saving ~10 minutes of scan time over standard clinical protocols when incorporated into 3D T2-FLAIR, and 3D T1-weighted pre- and post- contrast imaging. We first determined the optimal undersampling pattern and acceleration for CS T1-weighted IR-SPGR sequences and then evaluated the quality of the images and lesion definition in patients with brain tumors. This shortened anatomical imaging protocol has the potential to reduce the frequency of motion artifacts and can allow time for more advanced, therapy specific imaging to be acquired. |
| 1769 | Combination of Compressed Sensing and Sensitivity Encoding (CS-SENSE) in MR brachial plexus imaging: a study of different acceleration factors | |
| kong xiangchuang1, Tianjing Zhang2, Jiazheng Wang3, Qian Qi4, Zhenyang Zhou1, and Dingxi Liu1 | ||
1radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Clinical Science, Philips Healthcare, Shenzhen, China, 3Clinical Science, Philips Healthcare, Beijing, China, 4Philips Healthcare, Beijing, China |
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The aim of this study was to reduce the scan time of 3D Nerve-view using Compressed Sensing-Sensitivity Encoding (CS), and evaluate the image quality and capability of diagnosis of accelerated 3D Nerve-view sequences. 3D Nerve-view sequences with 5 different CS (compressed sense technology) accelerating factors (4,6,8,10,15), and a traditional 3D Nerve-view with 4-fold parallel imaging (sense) as a clinical reference were obtained.The 3D-CS sequence offer comparable diagnostic quality to the clinical 3D scan with much less time, potentially increasing the productivity of MR scanners.CS-3D Nervview with factor 6 offer equilibrium between comparable clinical diagnostic quality with less scan time (235seconds). |
| 1770 | Can 7T MPRAGE match MP2RAGE for gray-white matter contrast? | |
| Ícaro A F de Oliveira1,2, Thomas Roos1, Serge O Dumoulin1,2,3, and Wietske van der Zwaag1 | ||
1Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 2Experimental and Applied Psychology, VU University, Amsterdam, Netherlands, 3Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, Netherlands |
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We compared MPRAGE and MP2RAGE at Ultra-High Field (UHF) in terms of signal separability in gray and white matter. Using a k-space shutter, kt-point universal pulses for signal excitation, and an efficient TR-FOCI for signal inversion, we obtained very good signal contrast throughout the brain, including the cerebellum, for the MPRAGE. Nevertheless, gray-white matter contrast was larger in the MP2RAGE data, leading to better segmentation results, especially in areas affected by low B1+. Hence, MP2RAGE appears more suitable for 7T T1-weighted anatomical data, despite the longer acquisition times. |
| 1771 | Improved combination of multi-inversion time images for fluid and white matter suppression | |
| Dzung L Pham1, Neville Gai2, Yi-Yu Chou3, Abbey Goodyear2, Wen-Tung Wang3, and John A. Butman2 | ||
1Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation, Bethesda, MD, United States, 2National Institutes of Health, Bethesda, MD, United States, 3Henry M. Jackson Foundation, Bethesda, MD, United States |
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Fluid and White Matter Suppression (FLAWS) MRI uses two inversion times within a T1-weighted magnetization-prepared gradient echo sequence to enhance visualization of gray matter structures within the brain. FLAWS is based on the MP2RAGE sequence, but with different inversion times, followed by a voxel-wise minimum. In this work, we demonstrate that a variation of the regularized, ratio combination approach of MP2RAGE yields superior gray matter contrast-to-noise and intensity uniformity compared to the originally proposed FLAWS MRI combination based on minimum intensity. |
| 1772 | The effect of the refocusing flip angle on CSF dynamics imaging using multi-spin echo acquisition cine imaging (MUSACI) | |
| Tatsuhiro Wada1, Chiaki Tokunaga1, Osamu Togao2, Yasuo Yamashita1, Kouji Kobayashi1, Masami Yoneyama3, and Toyoyuki Kato1 | ||
1Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan, 2Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Philips Japan, Fukuoka, Japan |
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Multi-spin echo acquisition cine imaging (MUSACI) is based on the multi-spin echo technique and used for detection of cerebrospinal fluid (CSF) movement. MUSACI detects CSF movement as a signal loss due to proton phase dispersion and flow void. To better detect the CSF loss caused by CSF movement and reduce the CSF signal loss caused by T2 decay, we modified the refocusing flip angle modulation using pseudo steady state sequence (PSS). The modulation of refocusing flip angle in PSS improved the CSF dynamic imaging using MUSACI. |
| 1773 | Imaging the Nigrosome 1 using Susceptibility Weighted Imaging and Quantitative Susceptibility Mapping: An Application to Parkinson’s Disease | |
| Zenghui Cheng1, Naying He1, Pei Huang2, Sean K. Sethi3, Kiran Kumar Yerramsetty4, Vinay Kumar Palutla4, Weibo Chen5, Shengdi Chen2, Fuhua Yan1, and E.Mark Haacke1,3,6 | ||
1Radiology, Ruijin Hospital, school of medicine, Shanghai Jiaotong University, Shanghai, China, 2neurology, Ruijin Hospital, school of medicine, Shanghai Jiaotong University, Shanghai, China, 3Magnetic Resonance Innovations, Inc, Bingham Farms, MI, United States, 4MR Medical Imaging Innovations India Pvt. Ltd, Telangana, India, 5Philips Healthcare, Shanghai, China, 6Radiology, Wayne State University, Detroit, MI, United States |
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Imaging the nigrosome 1 has been reported to be promising in the diagnosis of Parkinson’s disease (PD), however, there is no uniform imaging protocol. This study was designed to create a rapid imaging protocol with high image quality to consistently visualize and characterize the N1 and to evaluate the loss of N1 in the diagnosis of PD. We found that the N1 sign could be consistently visualized using true SWI (tSWI) with a resolution of at least 0.67 x 0.67 x 1.34 mm3 and could be seen in 95% of HCs, while only 21.1% in PD and atypical parkinsonian syndromes. |
| 1774 | Difference in Morphometry Measures of 1mm and 0.6mm MPRAGE data with Prospective Motion Correction at 3T | |
| Joelle E. Sarlls1, Francois Lalonde2, Joellyn Stolinski1, Maxim Zaitsev3, and Lalith Talagala1 | ||
1NMRF, National Institutes of Health, Bethesda, MD, United States, 2NIMH, National Institutes of Health, Bethesda, MD, United States, 3MR Development and Application Center, University Medical Center Freiburg, Freiburg, Germany |
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Higher resolution anatomical images can provide more accurate estimates of morphometric measures extracted from segmentation algorithms. Acquisition of submillimeter MPRAGE data at 3T requires long scan times making it prone to subject motion. Prospective motion correction (PMC) techniques can mitigate these effects by tracking brain motion and updating scan parameters accordingly. Here, we compare morphometric measures from 1.0mm and 0.6mm isotropic resolution MPRAGE data obtained at 3T while using PMC. Results show that good quality 0.6mm MPRAGE data can be acquired with PMC in approximately 30minutes. Increased cortical thickness in some brain regions is seen with higher resolution data. |
| 1775 | Feasibility of a quasi-volumetric synthetic MRI of the brain using 2D slice-interleaved MDME acquisition with deep learned reconstruction | |
| Ho-Joon Lee1, Yeonah Kang1, Marc Lebel2, Min Soo Park3, and Joonsung Lee3 | ||
1Department of Radiology, Haeundae Paik Hospital, Busan, Republic of Korea, 2MR Collaboration and Development, GE Healthcare, Calagary, AB, Canada, 3GE Healthcare Korea, Seoul, Republic of Korea |
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Sequences that allow volumetric parametric maps are being developed but when these techniques will be available clinically is uncertain. MDME sequence is a robust method, allowing rapid acquisition of T1, T2 relaxation times, PD from which one can generate synthetic multi-contrast images. However, acquisition at thin slices is challenging. With a deep learned reconstruction method, we demonstrate that interleaved thin slice acquisition of MDME, can produce quasi-volumetric synthetic MRI at an isotropic resolution. Limitations include motion misregistrations between acquisitions, parallel imaging/partial volume/pulsation related artifacts, which we believe can be overcome with technical development. |
| 1776 | Voxel-Based Quantitative Susceptibility Mapping of Brain Using Compressed SENSE Acceleration | |
| Aocai Yang1, Guangbin Wang1, Weibo Chen2, and Ye Li1 | ||
1Shandong Medical Imaging Research Institute,Shandong University, Jinan, China, 2Philips Healthcare, Shanghai, China |
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Quantitative susceptibility mapping (QSM) is an important technique for quantifying iron content in the brain. The conventional time of high spatial QSM data is too long. Compressed sensing acceleration (CS) technique can primarily reduce the acquisition time. We sought to evaluate the accuracy and stability of whole brain QSM on both the voxel-wise level and regional level by using several CS accelerations. We found significant differences in the magnetic susceptibility values on voxel-based QSM, but no statistically different in regions of interest. CS acceleration is feasible for QSM acquisition without influence the magnetic susceptibility values obviously. |
| WITHDRAWN |
| 1777 | Comparison of EPI- and SSFP-PC with S-Transform for Separating Cardiac- and Respiratory-driven Intracranial CSF Motions under Free Breathing | |
| Satoshi Yatsushiro1, Tomohiko Horie2, Mitsunori Matsumae3, and Kayagaki Kuroda1 | ||
1Department of Human and Information Science, School of Information Science and Technology, Tokai University, Hiratsuka, Kanagawa, Japan, 2Department of Radiological Technology, Tokai University Hospital, Isehara, Kanagawa, Japan, 3Department of Neurosurgery, School of Medicine, Tokai University, Isehara, Kanagawa, Japan |
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To compare the performance of separating cardiac- and respiratory-driven intracranial CSF motions under free breathing with Stockwell transform (ST), real time phase contrast imaging based on echo planar imaging (EPI-PC) and steady state free precession (SSFP-PC) were compared. In 3 healthy volunteers, 3 patients with idiopathic normal pressure hydrocephalus (iNPH), and 2 patients with Chiari malformation, both PC schemes yielded almost the same image quality, although EPI-PC had relatively higher frame rate than SSFP-PC. These preliminary results indicated that both techniques in conjunction with ST will be useful to seize the CSF motions under free breathing. |
| 1778 | Multi-planar, multi-contrast and multi-timepoint analysis tool (MOCHA) for intracranial vessel wall imaging review | |
| Li Chen1, Duygu Baylam Geleri 1, Jie Sun 1, Hiroko Watase 1, Jiarui Cai1, Yin Guo1, Niranjan Balu 1, Dongxiang Xu 1, Thomas Hatsukami 1, Yongjun Wang 2, Jenq-Neng Hwang 1, and Chun Yuan 1 | ||
1University of Washington, Seattle, WA, United States, 2Beijing Tiantan Hospital, Capital Medical University, Beijing, China |
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A visualization technique (MOCHA) was developed to facilitate intracranial artery review using 3D Magnetic Resonance vessel wall imaging. Multiple intracranial MR scans, either from multiple contrasts or timepoints, are registered, then the artery of interest is traced and straightened using multiplanar reformation. Scans of 15 subjects with intracranial atherosclerosis were reviewed using MOCHA by a novice reader, with the traditional review method as comparison. The results showed higher sensitivity for plaque identification and higher accuracy for quantifying plaque features with MOCHA. MOCHA is promising for artery reviews using multiple scans, such as identifying plaque components and monitoring vessel wall thickening. |
| 1779 | PCA-multiFuse: Visualising multi-dimensional data in a single colorised image | |
| Daniel Gallichan1 | ||
1School of Engineering, Cardiff University, Cardiff, United Kingdom |
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A novel approach for image colorisation is presented, intended for situations where multiple contrasts are available covering the same anatomy. A colormap is created in a PCA-based hybrid parameter space, allowing signals from all contrasts to contribute to the final image colorization. Examples are shown from a dataset of high grade glioma patients, enabling rapid visual comparison between subjects. Within-subject there is clear contrast between healthy and pathological tissue, while contrast between healthy GM/WM/CSF is preserved. |
| 1780 | Towards Template-Invariant Voxel-Wise Analysis | |
| Roman Fleysher1, Nelson Gil1, and Michael L Lipton 1 | ||
1Radiology, Albert Einstein College of Medicine, Bronx, NY, United States |
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Voxel-wise cluster analysis of any MR-derived metric necessitates non-linear registration to a common brain template. Because quality of inter-brain registrations is sensitive to the similarity between the brains, the results of such analyses are sensitive to the choice of the template. Despite judicious selection of the template may reduce registration errors, inherently the results should not depend on template choice. We show that a dramatic reduction in this sensitivity is achieved by filtering out poorly registered images. Consequently, voxel-wise cluster analyses of the remaining data become more robust and less sensitive to the choice of the template. |
| 1781 | Cerebral oxygen extraction fraction mapping: comparison of dual-gas challenge calibrated BOLD and challenge-free gradient echo QSM+qBOLD | |
| Junghun Cho1, Yuhan Ma2, Pascal Spincemaille3, Bruce Pike2,4, and Yi Wang1,3 | ||
1Biomedical Engineering, Cornell University, New York, NY, United States, 2McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada, 3Radiology, Weill Cornell Medical College, New York, NY, United States, 4Radiology, University of Calgary, Calgary, AB, Canada |
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In this study, we compare cerebral oxygen extraction fraction (OEF) and metabolic rate of oxygen consumption (CMRO2) maps obtained using dual-gas challenge calibrated-BOLD (DGC) and challenge-free gradient echo quantitative susceptibility mapping plus quantitative blood oxygen level-dependent modeling (QSM+qBOLD or QQ) to explore the important clinical advantage of challenging-free data acquisition. In n=11 healthy subjects, cortical gray matter average OEF was not significantly different (36.4±1.9% and 38.0±9.1%, P=0.63) as was CMRO2 (151.4±17.6 and 168.2±54.1 μmolO2/min/100g, P=0.26), for QQ and DGC, respectively. QQ can measure OEF and CMRO2 at both baseline and hypercapnia independently, showing a 14% CMRO2 decrease in hypercapnia (P=0.039). |
| 1782 | A Quantitative MRI-Based Method of Repolarization of T1 for the Mixed Turbo Spin Echo Pulse Sequence | |
| Ryan McNaughton1, Mina Botros2, Ning Hua2, Xin Zhang1, and Hernan Jara2 | ||
1Mechanical Engineering, Boston University, Boston, MA, United States, 2Boston University Medical Center, Boston, MA, United States |
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Purpose: To develop quantitative MRI-based algorithms for correction of signal polarity for measurement of T1. Methods: Two polarity maps of T1 are calculated according to the mixed-TSE acquisition, and repolarized on a voxel-wise basis. The two polarity maps are compared to thresholds for PD and T2. The correct polarity is selected based on which T1 more accurately describes the selected voxel. Maps of the T1/T2 ratio repolarize the remaining unpolarized tissue. Results: Repolarized T1 maps exhibit an accurate bimodal distribution in vivo. Conclusion: A qMRI-based repolarization technique allows T1 measurement from mixed-TSE magnitude data, toward studying the extremely preterm brain. |
| 1783 | Spatially selective physiological noise suppression for high frequency resting state fMRI | |
| Khaled Talaat1, Bruno Sa De La Rocque Guimaraes2, and Stefan Posse2 | ||
1Nuclear Engineering, University of New Mexico, Albuquerque, NM, United States, 2Neurology, University of New Mexico, Albuquerque, NM, United States |
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Assessing the extent of high frequency resting state connectivity (> 0.15 Hz) across different brain networks has been hampered by the presence of physiological noise. Much of the high frequency information is lost when global filters are applied to stop respiratory and cardiac frequency bands. A spatially selective automated filtering method is developed in order to preserve high frequency signal information in regions where physiological contamination is weak. Preliminary results show significant reduction in artifactual correlations compared to unfiltered data. |
| 1784 | Development of an unbiased population-specific brain atlas for adolescent collision-sport athletes | |
| Yukai Zou1,2, Wenbin Zhu3, Ho-Ching (Shawn) Yang1, Nicole L Vike4, Diana O Svaldi1, Trey E Shenk5, Victoria N Poole1,4, Gregory G Tamer, Jr.1, Larry J Leverenz6, Ulrike Dydak7, Eric A Nauman1,4,8, Thomas M Talavage1,5, and Joseph V Rispoli1,5 | ||
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States, 3Department of Statistics, Purdue University, West Lafayette, IN, United States, 4Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, United States, 5School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 6Department of Health and Kinesiology, Purdue University, West Lafayette, IN, United States, 7School of Health Sciences, Purdue University, West Lafayette, IN, United States, 8School of Mechanical Engineering, Purdue University, West Lafayette, IN, United States |
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Over years of practices and competitions, adolescent collision-sport (American football, soccer) athletes undergo repetitive subconcussive head impacts, and therefore may exhibit a neuroanatomical trajectory different from healthy adolescents in general. Targeting this vulnerable population, we constructed a specific brain atlas that includes templates (T1 and DTI) and semantic labels (cortical and white matter parcellations), and we demonstrated that the unbiased population-specific brain atlas can minimize bias introduced in spatial normalization, improve sensitivity of voxel-wise statistical analysis, and therefore better clarify the mechanisms that lead to traumatic brain injury in adolescent athletes. |
| 1786 | Optimizing Fusion Bootstrap Moves Solver (FBMS) regularization for improved B1+ mapping using Multi Spin-Echo brain sequences | |
| Andreia C. Freitas1, Inês Sousa1, Andreia S. Gaspar1, Rui P.A.G. Teixeira2, Joseph V. Hajnal2, and Rita G. Nunes1,2 | ||
1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Centre for the Developing Brain, King's College London, London, United Kingdom |
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T2 mapping provides valuable tissue-specific MR information. To enable shorter scan times, multi spin-echo (MSE) sequences are commonly used but the achieved T2 accuracy using conventional mono-exponential fitting is poor. Improvements are possible by matching the measured signal to a pre-computed dictionary. Although simultaneous B1+ estimation is feasible, previous work demonstrated a bimodal behaviour. We investigate further improvements in B1+ accuracy using an iterative pixel-neighborhood based method (the Fusion Bootstrap Moves Solver), comparing different levels of spatial regularization. Improved B1+ accuracy and recovery of spatially smooth maps was demonstrated both in simulated and in-vivo brain data. |
| 1787 | Evaluating VoxelMorph, a deep learning-based non-linear diffeomorphic registration algorithm, against native ANTs SyN | |
| Victoria Madge1,2, Philip Novosad1,2, Daniel A. Di Giovanni1,3, and D. Louis Collins1,2,3 | ||
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, Montreal, QC, Canada, 2Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 3Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada |
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VoxelMorph is a deep-learning based non-linear diffeomorphic registration algorithm which claims to perform comparably to the state-of-the-art. However, the previous evaluation did not compare against manual gold-standard anatomical segmentations, used only the Dice metric for comparison, and compared against a modified version of a state-of-the-art algorithm, ANTs SyN. Here, VoxelMorph is evaluated against an unmodified version of ANTs SyN using multiple metrics based on manual labels. Results show VoxelMorph is less robust than ANTs SyN and underperforms in the presence of simulated deformations, and in registration of BrainWeb20 images to the VoxelMorph atlas. |
| 1788 | Penumbra Quantification from SWI visible Prominent Veins and its comparison with ASL-derived penumbra in patients with acute stroke | |
| Rupsa Bhattacharjee1,2, Rakesh Kumar Gupta3, Vijay Kant Dixit4, Praveen Gupta5, and Anup Singh1,6 | ||
1Center for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Philips Health Systems, Philips India Limited, Gurugram, India, 3Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 4Department of Interventional Neuroradiology, Fortis Memorial research Institute, Gurugram, India, 5Department of Neurology, Fortis Memorial research Institute, Gurugram, India, 6Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India |
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Objectives are to enhance the PHVS visibility in SWI, quantify stroke penumbra from it and calculate the mismatch ratio between PHVS(SWI) and DWI. For algorithm performance evaluation, 3D non-contrast pCASL as a gold standard was used to calculate true mismatch ratio with DWI. The proposed approach demonstrates high correlation between the two mismatch ratios, suggesting that PHVS and SWI based penumbra quantification has the potential to be used as an alternative for perfusion based methods. If mismatch ratio can accurately be produced from PHVS SWI, it could potentially reduce the scan time for acute stroke. |
| 1789 | Distortion Correction in EPI Diffusion MRI within Clinical Workflow: A Quantitative Evaluation | |
| Jaemin Shin1, Jungho Cha2, Jeffrey McGovern3, Patrick Quarterman1, Suchandrima Banerjee4, and Ki Sueng Choi2 | ||
1GE Healthcare, New York, NY, United States, 2Mount Sinai, New York, NY, United States, 3GE Healthcare, Waukesha, WI, United States, 4GE Healthcare, Menlo Park, CA, United States |
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This work does a quantitative evaluation of the effectiveness of a distortion correction method, clinically available at the scanner console, in diffusion MRI of the brain (N=10). After distortion correction, average cross-correlation coefficient between T1 and DWI was significantly increased. Distortion correction reduced average residual distance error to 1.1 mm or less (average 76% reduction) in all of three anatomical landmarks (frontal pole,lateral ventricle, pons). This on-console distortion correction method could help in the clinical applications that requires fast and accurate distortion correction such as deep brain stimulations surgery and cases with high susceptibility such as postoperative cohorts. |
| 1790 | 3D volume reconstruction from three orthogonal multi-slice 2D images using a super-resolution network | |
| Xue Feng1, Huitong Pan2, Li Zhao3, and Craig H. Meyer1 | ||
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Springbok, Inc., Charlottesville, VA, United States, 3Children's National Health System, Washington DC, DC, United States |
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High-resolution 3D MRI can provide detailed anatomical information and is favorable for accurate quantitative analysis. However, due to the limited data acquisition time and other physical constraints such as breath-holding, multi-slice 2D images are often acquired. The 2D images usually have a larger slice thickness than the in-plane resolution. To reconstruct the high- resolution 3D MRI, we propose to use a super-resolution network with three orthogonal multi-slice 2D images as the input. We validated the proposed method on brain MRIs and achieved good results in terms of mean absolute difference, mean squared difference and image details with visual inspection. |
| 1791 | Importance of Off-resonance Effects in Ultrashort echo-time Imaging | |
| Wen-Tung Wang1, Dzung Pham1, and John A Butman1,2 | ||
1Center for Neuroscience and Regenerative Medicine, NIH/USU, Bethesda, MD, United States, 2Radiology and Imaging Sciences, NIH, Bethesda, MD, United States |
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Ultrashort echo-time (UTE) imaging can detect short- and ultrashort-T2 tissue components. e.g. tendons, ligaments, and cortical bone. Multi-echo UTE is used to generate the tissue attenuation maps required for quantitative MRI PET, as short T2 skull is visible on the first echo but not on the second. For accurate classification, it is assumed that these are registered. Here we show that geometric scaling issues of fat and water may be different between the 1st and 2nd echoes – and hence lead to erroneous tissue classification. |
| 1792 | Blood-Brain Barrier Imaging as a Biomarker for Cognitive Decline in Systemic Lupus Erythematosus | |
| Lyna Kamintsky1, Steven D Beyea2,3, John D Fisk4,5, Javeria A Hashmi6, Antonina Omisade7, Tim Bardouille8, Chris Bowen2,3, Maher Quraan2,3, Kara A Matheson9, Alon Friedman1,10, and John G Hanly11,12 | ||
1Department of Medical Neuroscience, Dalhousie University, Halifax, NS, Canada, 2Department of Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 3Biomedical Translational Imaging Centre (BIOTIC), QEII Health Sciences Centre, Halifax, NS, Canada, 4Departments of Psychiatry, Psychology & Neuroscience and Medicine, Dalhousie University, Halifax, NS, Canada, 5Nova Scotia Health Authority, Halifax, NS, Canada, 6Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, NS, Canada, 7Acquired Brain Injury (Epilepsy Program), Nova Scotia Health Authority, Halifax, NS, Canada, 8Department of Physics, Dalhousie University, Halifax, NS, Canada, 9Research Methods Unit, Nova Scotia Health Authority, Halifax, NS, Canada, 10Department of Physiology and Cell Biology, Medicine, Ben-Gurion University of the Negev, Beer Sheva, Israel, 11QEII Health Sciences Center, Halifax, NS, Canada, 12Department of Medicine and Division of Rheumatology, Dalhousie University, Halifax, NS, Canada |
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This study addresses the need for mechanism-based understanding of cognitive impairment in systemic lupus erythematosus (SLE). Using dynamic contrast-enhanced MRI we identified extensive blood-brain barrier (BBB) leakage in 16 of 46 SLE patients. Extensive BBB leakage was associated with worse overall cognitive performance, affecting primarily information processing speed and executive abilities. Our study provides the first compelling evidence for BBB damage in SLE, and links BBB leakage to cognitive dysfunction. These findings highlight the diagnostic potential of BBB imaging and call for research into BBB-targeting therapies. |
| 1793 | White matter neuroplasticity: Motor learning modifies hemodynamic responses in the internal capsule | |
| Lukas A. Grajauskas1,2,3, Tory Frizzell2,4, Sujoy Hajra2,4, Caressa Liu2,4, Xiaowei Song2,3, and Ryan C.N. D'Arcy4,5 | ||
1Cumming School of Medicine, University of Calgary, Calgary, AB, Canada, 2Surrey Memorial Hospital ImageTech Laboratory, Fraser Health, Surrey, BC, Canada, 3Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada, 4Faculty of Applied Sciences, Simon Fraser University, Burnaby, BC, Canada, 5Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada |
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Though white matter has a noted role in motor learning, there have been no MRI studies of functional neuroplasticity in this tissue. Therefore, in this work, twelve healthy participants underwent a motor training program designed to drive behavioral changes in the non-dominant hand. Using BOLD fMRI, we noted an associated change in the temporal dispersion of the white matter hemodynamic response over the training period. This is in line with previous DTI studies that show increases in white matter myelination with training, and BOLD investigations that show hemodynamic responses differ between grey and white matter, and between white matter tracts. |
| 1794 | Resting brain entropy in the default mode network and the executive network may serve as a functional brain reserve | |
| Ze Wang1 | ||
1Radiology, University of Maryland School of Medicine, Baltimore, MD, United States |
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Human brain relies on long-range coherent activity to execute complex function. The long-range coherence can be measured by brain entropy mapping, which has gained increasing research interest in recent years. The purpose of this study is to examine the relationship between brain entropy and brain functions using large data. |
| 1795 | Patterns of grey matter atrophy in patients with MS: a multivariate analysis using source-based morphometry | |
| Paola Valsasina1, Maria A. Rocca1,2, Alessandro Meani1, Claudio Gobbi3, Chiara Zecca3, Alex Rovira4, Xavier Montalban5, Hugh Kearney6, Olga Ciccarelli6, Lucy Matthews7, Jacqueline Palace7, Antonio Gallo8, Alvino Bisecco8, Carsten Lukas9, Barbara Bellenberg9, Frederik Barkhof10,11, Hugo Vrenken10, Paolo Preziosa1,2, and Massimo Filippi1,2,12 | ||
1Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy, 2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy, 3Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland, 4Section of Neuroradiology and MRI Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain, 5Department of Neurology/Neuroimmunology, Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain, 6NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 7Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 8Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania “Luigi Vanvitelli”, Naples, Italy, 9Department of Radiology and Nuclear Medicine, and Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany, 10Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, Amsterdam, Netherlands, 11Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom, 12Vita-Salute San Raffaele University, Milan, Italy |
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In this study, we used source-based morphometry to identify patterns of grey matter tissue loss in a large, multicenter cohort of patients with multiple sclerosis (MS) acquired at 8 European sites. We detected a differential involvement of grey matter networks across the different stages of the disease. Cortical and subcortical grey matter atrophy progressed significantly in MS patients over 1-year of follow-up. Grey matter atrophy, especially in the sensorimotor network, was able to explain patients’ clinical disability, while cerebellar atrophy was able to predict clinical disability worsening over 1-year follow-up. |
| 1796 | Higher b-value diffusion improves correlation with cortical myelin content | |
| Sandy Mournet1,2, Gosuke Okubo1,2,3, Ismail Koubiyr1,2, Valentin H Prevost4, Clémence Bal2, Bei Zhang5, Hiroshi Kusahara 4, Nobuyasu Ichinose4, Bruno Triaire4, Bassem Hiba6, Vincent Dousset1,2,7, and Thomas Tourdias1,2,7 | ||
1Neurocentre Magendie, INSERM U1215, Bordeaux, France, 2Université de Bordeaux, Bordeaux, France, 3Department of Radiology, Tenri Hospital, Nara, Japan, 4Canon Medical Systems Corporation, Otawara, Japan, 5Canon Medical systems Europe, Paris, France, 6Centre de neuroscience cognitive, CNRS UMR 5229, Université Claude Bernard Lyon, Lyon, France, 7Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France |
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In diffusion MRI, the use of very high b-value remains very challenging. In this study, we scanned 9 volunteers with a protocol of dMRI sequences using b values from 1000 to 5000 s/mm². We compared cortical surface map of myelin (T1wi/T2wi) to maps of mean diffusivity (MD) computed from each b value. As opposed to b1000 s/mm², MD maps from b3000 and b5000 inversely mirrored the myelin maps. With increasing b-values, multiple regression models confirmed an increasing negative association between myelin and MD. The MD obtained with high b-value is sensitive to subtle cellular variations such as the cortical myeloarchitecture. |
| 1797 | The impact of cerebrocortical-cerebellar loops on brain dynamics in simulations using The Virtual Brain | |
| Fulvia Palesi1, Roberta Lorenzi1, Claudia Casellato1, Petra Ritter2, Viktor Jirsa3, Claudia AM Gandini Wheeler-Kingshott1,4,5, and Egidio D'Angelo1,5 | ||
1Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 2Department of Neurology with Experimental Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany, 3Institut de Neurosciences des Systèmes - Inserm UMR1106, Aix-Marseille Université, Marseille, France, 4NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United Kingdom, 5IRCCS Mondino Foundation, Pavia, Italy |
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The Virtual Brain(TVB) has been developed to simulate brain dynamics starting from individual structural and functional connectivity(FC) MRI data. Nowadays, only cerebrocortical circuits have been considered. Here, we provided the first TVB simulations including cerebellar nodes on single-subject datasets. The brain dynamics simulated by either including or excluding cerebrocortical-cerebellar connectivity were compared, revealing that the predictive power of empirical FC is not significantly modified by inclusion of cerebro-cerebellar loops. To improve the present results and apply this pipeline to predict disease states involving cerebrocortical-cerebellar loops, specific neural mass models accounting for cerebellar microcircuit physiology need to be integrated in TVB. |
| 1798 | 180 vertebrate brains for an open data set of comparative neuroanatomy | |
| Katja Heuer1, Mélanie Didier2, Stéphanie Anastacio2, Antoine Burgos2, Romain Valabregue2, Marc Herbin3, Roberto Toro1,4, and Mathieu David Santin2 | ||
1Groupe de Neuroanatomie appliquée et théorique, Unité de Génétique humaine et fonctions cognitives, Département de neuroscience, Institut Pasteur, Paris, France, 2Centre de Neuroimagerie de Recherche, Institut Cerveau Moelle – ICM, CENIR, UPMC-Inserm U1127, CNRS 7225, Paris, France, 3Département Adaptations du Vivant, UMR MECADEV 7179 Equipe FUNEVOL Sorbonne Universités-MNHNUPMC- CNRS-IRD, Muséum National d'Histoire naturelle, PAris, France, 4Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France |
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This work presents the MR acquisition of 180 post mortem brains from different species coming from a Museum collection. 3D-High resolution images were obtained at 3 and 11.7T, depending on brain size. The images where then preprocessed in order to be available online for dowload on The Brain Catalogue (https://braincatalogue.org) web portal designed for comparative neuroanatomy studies. |
| 1799 | Bedside Stroke Imaging at 64mT | |
| Rafael OHalloran1, Laura Sacolick1, Hadrien Dyvorne1, Carole Lazarus1, Samantha By1, Brian Welch1, Bradley A Cahn2, Jill T Shah2, Mercy H Mazurek2, Matthew M Yuen2, Gordon Sze2, W. Taylor Kimberly3, Matthew S Rosen4,5, and Kevin N Sheth2 | ||
1Hyperfine Research, Inc., Guilford, CT, United States, 2Yale New Haven Hospital, New Haven, CT, United States, 3Division of Neurocritical Care, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 5Department of Physics, Harvard University, Cambridge, MA, United States |
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Initial evidence of the feasibility of clinical stroke imaging using a portable 64mT MRI system is presented. Twelve patients with a diagnosis of ischemic stroke diagnosis admitted to a neuroscience intensive care unit were imaged with a portable, point-of-care, MRI system. |
| 1800 | Ultrashort-T2* component differences in white matter regions of the brain | |
| Nikhil Deveshwar1 and Peder E. Z. Larson1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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This work presents a study detailing how ultrashort-T2* measurements can provide new and complimentary characterizations and differentiations of white matter anatomy in comparison to classic DTI measurements. Specifically the magnitude and frequency shift components of the measured signal are significantly different between white matter with thick versus thin myelin sheaths and provides new methods of assessing myelin content in white matter when compared to FA, MD, and V1 values. These results show that this method could be used to better characterize and study demyelinating diseases such as multiple sclerosis. |
| 1801 | Glial changes induced by lipopolysaccharide inflammatory challenge in humans detected with diffusion-weighted MRS | |
| Itamar Ronen1, Francesca Branzoli2, Alessandro Colasanti3, Iris Asllani3, Riccardo De Marco3, Neil Harrison4, and Mara Cercignani3 | ||
1Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Centre for NeuroImaging Research - CENIR, Brain and Spine Institute - ICM, Paris, France, 3Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom, 4Cardiff University Brain Research Imaging Centre (CUBRIC), School of Medicine, Cardiff University, Cardiff, United Kingdom |
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Neuroinflammation is a pathomechanism implicated in several neruological, neurodegenerative and psychiatric disorders and is expressed in activation of microglia, the resident brain macrophages. Currently the only neuroimaging method for detecting microglial activation is PET with translocator protein (TSPO) ligands. A well-known model of experimentally inducing systemic inflammation is the administration of lipopolysaccharides (LPS). Here we report a significant increase in the apparent diffusion coefficient of the glial metabolite choline (tCho) in the human thalamus, following injection of LPS. This finding suggests that the ADC(tCho) is a putative marker for glial activation and may be useful in measuring neuroinflammation in disease. |
| 1802 | Comparing aMRI to DENSE for the assessment of brain tissue motion | |
| Ayodeji L Adams1, Itamar Terem2, Allen A Champagne3, Samantha J Holdsworth4, and Jaco Zwanenburg5 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Radiology, Stanford University, Stanford, CA, United States, 3School of Medicine, Queen’s University, Kingston, ON, Canada, 4Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand, 5University Medical Center Utrecht, Utrecht, Netherlands |
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aMRI holds great potential for assessing brain motion/strain using images acquired from readily-available sequences. However, registration is needed to extract displacements from the motion-amplified images, which may limit its accuracy. In this study we separately assessed the errors induced by registration limitations and by imperfections in the aMRI amplification. Displacements were extracted from aMRI and DENSE-amplified images using a common registration algorithm, which were then compared to a ground truth. Although significant differences were found between DENSE-amplified images and aMRI, the aMRI-derived displacements were comparable to the ground truth, strengthening the potential of aMRI for investigating brain motion in disease. |
| 1803 | Assessing gray and white matter glutamatergic turnover in human brain non-invasively using 1H MRS and deuterated glucose | |
| Puneet Bagga1, Laurie J Rich1, Abigail Cember1, Ravi Prakash Reddy Nanga1, Deepa Thakuri1, Mark Elliott1, Mohammad Haris2,3, John A Detre4, and Ravinder Reddy1 | ||
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Sidra Medicine, Doha, Qatar, 3LARC, Qatar University, Doha, Qatar, 4Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States |
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Cerebral metabolism is reported to be monitored by various techniques including 13C/2H MR spectroscopy and 18F-FDG Positron emission tomography. It is well known that 1H MRS allows the non-invasive detection and quantification of neurochemicals. In this study, we performed 1H MRS in conjuction with the oral administration of [6,6′-2H2]glucose in a healthy volunteer at 3T and 7T to measure turnover of glutamate in gray and white matter. As 2H is invisible on 1H MRS, the 2H enrichment of glutamate leads to a corresponding drop in its 1H MR resonance measured via LCModel. |
| 1804 | Automatic Classification of MR Image Contrast | |
| Julia Cluceru1, Yannet Interian2, Janine M. Lupo3, Riley Bove4, Atul Butte5, and Jason Crane3 | ||
1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Program in Data Science, USF, San Francisco, CA, United States, 3Radiology and Biomedical Imagin, UCSF, San Francisco, CA, United States, 4Department of Neurology, UCSF, San Francisco, CA, United States, 5Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, United States |
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To perform large-scale analyses of disease progression, it is necessary to automate the retrieval and alignment of MR images of similar contrast. The goal of this study is to create an algorithm that can reliably classify brain exams by MR image contrast. We use two modeling strategies (SVM and CNN) and two training/testing cohorts to compare within-disease and between-disease transferability of the algorithms. For both cohorts, deep ResNets for extract imaging features combined in a random forest with DICOM metadata perform the best, resulting in 95.6% accuracy on the within-disease comparison, and 99.6% overall accuracy on between-disease comparison. |
| 1805 | Visualization of uncertainty in tractograms using ROC-based transfer functions for real-time TMS applications | |
| Dogu Baran Aydogan1 | ||
1Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland |
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Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation technique that is widely used in both research and clinical settings. However, state-of-the-art TMS guidance systems do not leverage the valuable structural connectivity in real-time applications. This is mainly due to the limitations of tractography which has been increasingly pointed out in validation studies. In order to address this problem, in this work we propose a novel visualization approach that is capable of providing information about the uncertainty of obtained streamlines. Our technique offers an easy and intuitive way for the TMS operator to interpret the displayed streamlines in real-time. |
| 1806 | Amide Proton Transfer Brain Imaging with Compressed Sense: Comparison of Different Acceleration Factors and Conventional Parallel Imaging | |
| Nan Zhang1, Qingwei Song1, Renwang Pu1, Haonan Zhang1, Jiazheng Wang2, Zhongping Zhang2, and Yu Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer (APT) imaging is a novel and promising MRI contrast method, but it can be time-consuming. Common parallel imaging methods, like SENSE, can lead to reduced quality of APT. Here, compressed sensing technique is evaluated for the acceleration of APT in brain. The purpose of the present study is to explore feasibility of different acceleration factors in brain APT. The results show that it is feasible to apply accelerator factor 5 to APT display of brain tissue and brain tumor, which could reduce the scan time with in 1 min. |
| 1807 | Optimization of k-space Filtering for Compensating T2 Blurring in 3D ASL-MRI: Application to GBM | |
| Yiming Wang1, Limin Zhou1, Joshua S. Greer1,2, Edward Pan3,4,5, Marco C. Pinho1,6, Joseph A. Maldjian1,6, and Ananth J. Madhuranthakam1,6 | ||
1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Pediatrics, UT Southwestern Medical Center, Dallas, TX, United States, 3Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, United States, 4Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, United States, 5Harold C. Simmons Cancer Center, UT Southwestern Medical Center, Dallas, TX, United States, 6Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States |
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3D arterial spin labeled (ASL) MRI using turbo spin echo (TSE) acquisition suffers from image blurring, due to T2 decay along the echo train. In this study, a k-space filtering method proposed earlier was optimized to compensate T2 blurring, incorporating ASL T2 measurements in healthy volunteers for T2 decay estimation. This method was then applied to 3D ASL images acquired in healthy volunteers and patients with glioblastoma (GBM) from an ongoing clinical trial. Results showed reduced image blurring in both volunteers and patients. |
| 1808 | Implementation of the academic image processing pipeline ExploreASL in an outpatient center using IntelliSpace Discovery | |
| Sandeep Ganji1, Nandor Pinter2, Jan Petr33, Bela Ajtai2, Joseph V Fritz2, Laszlo Mechtler2, Shahrukh Husain2, Alexander Fischer4, Frederik Barkhof5,6, and Henri Mutsaerts5,7 | ||
1Philips, Gainesville, FL, United States, 2Dent Neurologic Institute, Amherst, NY, United States, 3Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 4Philips Research, Aachen, Germany, 5Dept of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, Netherlands, 6Institute of Biomedical Engineering and Neurology, University College London, London, United Kingdom, 7Ghent Institute for Functional and Metabolic Imaging, Ghent, Belgium |
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The use of standardized image processing pipelines is continuously increasing in radiological research with developments in computing power, image processing, and machine learning techniques. Early integration of academic processing methods into clinical research workflow would accelerate the translation of promising novel MRI techniques into the clinic. However, the integration of such tools is both resource and time consuming. While most of neurological imaging takes place in outpatient centers, resource and workflow limitations of such clinics do not allow for the application of advanced image analysis. Here, we present the integration the “ExploreASL” into the PACS-connected research platform IntelliSpace Discovery. |
| 1809 | Multiparametric brain MR Imaging for the assessment of Multiple Sclerosis disease progression over 6 months | |
| Xiaomeng Zhang1, Xiaoqing Yang2, Karthikeyan Subramanian3, Bradley A Hooker1, Mark Haacke3, Ivonne Suridjan1, Qi Guo1, Robert Comley1, Adam Ziemann4, and Yanping Luo1 | ||
1Translational imaging, iSAT, Abbvie Inc., North Chicago, IL, United States, 2Data & Statistical Sciences, Abbvie Inc., North Chicago, IL, United States, 3Wayne state university, Detroit, MI, United States, 4Neuroscience Development, Abbvie Inc., North Chicago, IL, United States |
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Quantitative brain MRI was used to evaluate 18 RRMS patients and 10 age matched controls at baseline and 6 months. The study aimed to assess test-retest reproducibility in healthy controls, disease variability in the RRMS population, and sensitivity to disease progression of each MRI-derived parameter. The results will inform the selection of MRI measures to be used as biomarkers in future clinical trials. In addition, longitudinal multiparametric assessment of MS lesions may improve our understanding of different pathological components of such lesions (e.g. inflammation, demyelination, and iron accumulation) during disease progression. |
| 1810 | Improved Cerebral Microbleed vs Calcification Discrimination using QSM compared to SWI Phase Maps | |
| Salil Soman1, Kyuwon Lee2, Magdy Selim3, Aristotelis Filippidis4, Ajit Thomas4, Pascal Spincemaille5, and Yi Wang5 | ||
1Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States, 2Radiology, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States, 3Neurology, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States, 4Neurosurgery, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States, 5Radiology, Weill Cornell Medicine, New York, NY, United States |
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Cerebral microbleeds are bleeds < 1 cm seen on MRI, not visible on CT, which play a role in diagnosing disease and identifying risks of developing multiple diseases. Many susceptibility based techniques, such as SWI require a phase map to distinguish CMB from calcification. However, studies have demonstrated that for non-CMB bleeds on GRE and SWI, the phase dominant sign may differ across slices, preventing clinical interpretation. We compared the dominant sign for candidate CMBs on SWI phase maps and MEDI QSM images, and found that QSM images showed much less change in dominant sign than SWI phase maps.
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| 1811 | Optimized Structural Imaging at 7T using ME-MP2RAGE | |
| Eberhard Daniel Pracht1, Philipp Ehses1, Hankyeol Lee2, Kamil Uludag2,3, and Tony Stoecker1,4 | ||
1German Center for Neurodegenerative Diseases, Bonn, Germany, 2Center for Neuroscience Imaging Research, Institute for Basic Science & Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, 4Department of Physics and Astronomy, University of Bonn, Bonn, Germany |
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In this work, we present an optimized, scan-time efficient multi-echo MP2RAGE sequence (ME-MP2RAGE) for improved brain segmentation at ultra-high field. Apart from removing B1-, M0, and T2* dependencies (MP2RAGE features), the proposed method removes susceptibility induced image distortions along the readout direction. Additionally, an optimized reordering scheme was implemented for scan-time optimization. |
| 1812 | Probabilistic structural atlas of human ventral tegmental area, mesencephalic and isthmic reticular formation using in-vivo 7 Tesla MRI | |
| KAVITA SINGH1, María Guadalupe García-Gomar1, and Marta Bianciardi1 | ||
1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States |
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Human ventral tegmental area and its parabrachial pigmented nucleus are involved in attention, memory, reward, drug abuse, and motivation. Mesencephalic and isthmic reticular formation nuclei are implicated in the control of head/eye movement and position. Currently, their assessment in radiological investigations is difficult due to the limited-resolution and contrast of clinical MRI. We precisely delineated these nuclei on 7 Tesla MRI of healthy humans and generated a validated in-vivo stereotaxic probabilistic atlas of these structures. Upon coregistration to clinical MRI, this atlas might improve the evaluation of lesions and assessment of connectivity pathways underlying clinical conditions relating to these nuclei. |
| 1813 | Evaluation of Ultrafast Wave-CAIPI 3D FLAIR Versus Standard 3D FLAIR for Quantitative Analysis of White Matter Lesions | |
| Chanon Ngamsombat1,2, Maria Gabriela Figueiro Longo1,3, Augusto Lio M. Gonçalves Filho1,3, Stephen F. Cauley1,4, Kawin Setsompop1,4,5, Qiyuan Tian1, Qiuyun Fan1, Daniel Polak6,7, Wei Liu8, Wei-Ching Lo7, Ramon Gilberto González3,4, Pamela W. Schaefer3,4, John E. Kirsch1,3, Otto Rapalino3,4, John Conklin1,3, and Susie Y. Huang1,3,5 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Faculty of Medicine, Siriraj Hospital Mahidol Univerity, Bangkok, Thailand, 3Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Department of Physics and Astronomy, Heidelberg University, Heidelberg, Heidelberg, Germany, 7Siemens Healthineers AG, Erlangen, Erlangen, Germany, 8Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, Shenzhen, China |
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Quantification of cerebral white matter lesion volume has become increasingly feasible for routine clinical evaluation and research due to the availability of automated segmentation tools and 3D FLAIR sequences. However, these sequences suffer from long acquisition times, limiting their widespread use. We demonstrate that quantitative white matter lesion volumes estimated using ultrafast Wave-CAIPI SPACE-FLAIR obtained in <3 minutes show excellent agreement with standard SPACE-FLAIR requiring >7 minutes of scanning in patients undergoing clinical evaluation for suspected MS and epilepsy. Wave-CAIPI SPACE-FLAIR may facilitate the adoption of 3D FLAIR sequences for lesion evaluation in patients with MS and other white matter diseases. |
| 1814 | Highly Accelerated Wave-CAIPI Post-Contrast 3D-T1 Compared to Standard Post-Contrast 3D-T1 SPACE for Detection of Abnormal Enhancing Lesions. | |
| Augusto Lio Mota Goncalves Filho1,2, Maria Gabriela Figueiro Longo1,2, John Conklin1,2, Stephen Cauley1,2, Daniel Polak3, Wei Liu4, John Kirsch1,2, Kawin Setsompop1,2, Ramon Gilberto Gonzalez1, Pamela Schaefer1, Susie Yi Huang1,2,5, and Otto Rapalino1 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Siemens Healthineers, Erlangen, Germany, 4Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 5Harvard Medical School, Boston, MA, United States |
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We present the first large-scale evaluation of the diagnostic performance and image quality of highly accelerated Wave-CAIPI post-contrast 3D-T1 SPACE (Wave-T1 SPACE) compared to standard post-contrast 3D-T1 SPACE for the detection of intracranial enhancing lesions in patients undergoing 3T MRI scanning. Two neuroradiologists assessed the images in a head-to-head comparison, and found no significant difference between the two sequences for detection of abnormal intracranial enhancement and overall diagnostic quality, despite a nearly 3-fold decrease in acquisition time of post-contrast Wave-T1 SPACE. The application of highly-accelerated 3D imaging may improve use of MRI resources while reducing motion artifacts and patient anxiety. |
| 1815 | Quantitative susceptibility mapping reveals increased iron content of subcortical nuclei in hypertensive patients | |
| Xin Li1, Yue Qin1, Shaoyu Wang2, Xiang Feng3, Yifan Qian1, Juan Tian1, Liyao Liu1, Yinhu Zhu1, Boyuan Jiang1, and Yanqiang Qiao1 | ||
1XI’AN DAXING HOSPITAL, ShaanXi, Xi’an, China, 2Siemens Healthcare Ltd., ShaanXi, Xi’an, China, 3Siemens Healthcare Ltd., Beijing, China |
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Hypertension is known to be a major risk factor for damage to target organs, including the brain. Hypertension may be associated with increased heme content and non-heme iron contents. QSM is a potent imaging method that can provide a noninvasive and accurate measurement of iron content in the brain for diagnosing diseases and monitoring progression and treatment. This study evaluated the feasibility of QSM in the measurement of brain iron deposition in patients with hypertension. We found increased iron accumulation primarily in the deep gray matter nucleus in hypertensive patients. |
| 1816 | Correlation analysis between brain iron deposition and physiological parameters in hypertensive patients | |
| Xin Li1, Yue Qin1, Shaoyu Wang2, Xiang Feng3, Juan Tian1, Yifan Qian1, Yinhu Zhu1, Liyao Liu1, Yanqiang Qiao1, and Boyuan Jiang1 | ||
1XI’AN DAXING HOSPITAL, ShaanXi, Xi’an, China, 2Siemens Healthcare Ltd, ShaanXi, Xi’an, China, 3Siemens Healthcare Ltd., Beijing, China |
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Hypertension is becoming a common health problem worldwide with increasing life expectancy and increasing prevalence of risk factors. Hypertension was positively associated with body mass index. Previous studies have detected that increased iron accumulation mainly in deep gray matter nucleus and CSF in hypertensive patients. There has no study about the correlates of physiological parameters and magnetic susceptibility of brain in hypertension. The present study used Pearson's correlation test to compare the relationship between the magnetic susceptibility of brain tissue and BMI, maximum systolic blood pressure and maximum diastolic blood pressure in hypertensive patients. |
| 1817 | Evaluating normative radiomics in T2-FLAIR MRI of the brain | |
| Umang Pandey1, Jitender Saini2, Rakesh Gupta3, and Madhura Ingalhalikar1 | ||
1Symbiosis Centre For Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India, 3Department of Radiology, Fortis Hospital, Gurgaon, India |
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Radiomics has gained momentum as a non-invasive prediction tool to assess MRI based tumor data in neuro-oncology. However, there’s little understating about the robustness and reproducibility of these features in normative population which is an important first step before translating to pathology. This work investigates and demonstrates the reproducibility of radiomic features on T2-FLAIR images and variation within hemispheres and lobes and its gender and age-related effect. Overall, our findings suggest that care must be taken while interpreting these features for pathological inference. |
| 1818 | Diffusion Imaging Correlates of Neurocognition in Healthy Adults: The Potentials of Sequences with Multiple Diffusion Encoding Schemes | |
| Khin Khin Tha1,2, Daisuke Sawamura3, Xinnan Li3, Yuta Urushibata4, Keita Ogawa5, Kohsuke Kudo1,2, and Hiroki Shirato2 | ||
1Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 2Global Station for Quantum Medical Science and Engineering, Hokkaido University, Sapporo, Japan, 3Department of Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 4Siemens Healthcare, Tokyo, Japan, 5Department of Rehabilitation, Hokkaido University Hospital, Sapporo, Japan |
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This prospective study was aimed to identify the diffusion imaging correlates of neurocognition. Newly developed diffusion-imaging sequences, i.e., oscillating gradient spin-echo (OGSE), pulsed gradient spin-echo (PGSE), and double diffusion encoding (DDE) sequences, were acquired in 30 healthy adults. The diffusion imaging indices were tested for correlation with the neuropsychological test scores. The microscopic fractional anisotropy (υFA) and fractional anisotropy (FA) of the right caudate nucleus, the υFA of the right temporal lobe, and the OGSE sequence-derived apparent diffusion coefficient (ADC) of the right sublobar white matter showed significant correlations with forward digit span test or trail-making test part-B. |
| 1819 | Microscopic fractional anisotropy measurements from double diffusion encoding for human brain tumor diagnosis | |
| Masaaki Hori1,2, Masanori Ozaki3, Hiroshi Kusahara4, Masahiro Abe4, Shuji Sato5, Seiko Shimizu6, Kouhei Kamiya1,7, Toshiaki Akashi2, Koji Kamagata2, and Shigeki Aoki2 | ||
1Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Juntendo University School of Medicine, Tokyo, Japan, 3Research and Development Center, Canon Medical Systems Corporation, Kanagawa, Japan, 4Advanced MRI development PJ Team, Canon Medical Systems Corporation, Kanagawa, Japan, 5Juntendo University Hospital, Tokyo, Japan, 6Canon Medical Systems Corporation, Tokyo, Japan, 7Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan |
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We investigated the values and image contrast of μFA using double diffusion encoding in patients with brain tumors in vivo, as a preliminary study. In general, μFA showed higher values than FA did in the brain tumors. There is no correlation among μFA and FA and ADC, in the meningiomas and solid part of glioblastoma and malignant lymphoma. However, more investigation will be needed to establish the usefulness of μFA in clinical use. |
| 1820
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Quantitative Measurement of Cerebral Oxygen Extraction in Patients with Sickle Cell Disease after Diamox Infusion Using Asymmetric Spin Echo | |
| Jian Shen1, Chau Vu1, Soyoung Choi2, Aart Nederveen3, and John Wood1,4 | ||
1Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 2Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States, 3Academic Medical Center, Amsterdam, Netherlands, 4Division of Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States |
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This study demonstrated tissue oxygen extraction change in patients with sickle cell disease after Acetazolamide injection using Asymmetric Spin Echo technique, and compared with global oxygen extraction change revealed by TRUST. The results suggested that global oxygen extraction decreased as blood flow increased, while tissue oxygen extraction remained stable. And this mismatch might be a proof to the existence of "physiological shunting". |
| 1821 | Pointwise Encoding Time Reduction with Radial Acquisition in Subtraction-Based MRA: Assessing Intracranial Saccular Aneurysms | |
| Qing Fu1, Xiao-yong Zhang2, Ding-xi Liu1, and Xian-bo Deng1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2MR Collaborations, Siemens Healthcare Ltd., Shenzhen, China |
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This study compared the clinical utility of the pointwise encoding time reduction with radial acquisition (PETRA) sequence in subtraction-based magnetic resonance angiography (MRA) with conventional time-of-flight MRA (TOF-MRA) for evaluating intracranial saccular aneurysms. The results showed no substantial differences between PETRA-MRA and TOF-MRA in detecting, localizing, and determining the size of aneurysms. Furthermore, PETRA-MRA produced better image quality and provided a higher correlation with computed tomography angiography (CTA) in assessing morphologic parameters of aneurysms than TOF-MRA. |
| 1822 | Multimodal quantitative magnetic resonance neurography in chronic inflammatory demyelinating polyneuropathy | |
| Su Xiaoyun1, Zheng Chuansheng1, Kong Xiangquan1, Lu Zuneng2, Osamah Alwalid1, and Zhang Huiting3 | ||
1Radiology, union hospital, tongji medical college, Huazhong University of science and technology, Wuhan, China, 2Neurology, Renming Hospital of Wuhan University,, Wuhan, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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Conventional imaging is insufficient for diagnosis and management of patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Brachial and lumbosacral plexus of 37 CIDP patients and 37 age and gender-matched controls were examined by using multi-sequences. Our study showed that fractional anisotropy (FA) had the most sensitivity, while contrast-enhanced ratio (CR) had the most specificity in single-parameter. The combination of FA and CR value had the best diagnostic efficiency. FA had a negative correlation with course duration, and CR positive correlation with CSF protein. SPACE combined with DTI and contrast enhancement sequences serve as a recommended composite protocol. |
| 1823 | Detection of microstructural abnormalities of gray matter in migraineurs without aura using Mean Apparent Propagator (MAP) MRI model | |
| Su Xiaoyun1, Wang Jing1, Chi Bin1, Zhu Qing2, Zhang Huiting3, Zhang Xiaoyong4, and Zheng Chuansheng1 | ||
1Radiology, union hospital, tongji medical college, Huazhong University of science and technology, Wuhan, China, 2Neurology, union hospital, tongji medical college, Huazhong University of science and technology, Wuhan, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 4Shanghai Key Laboratory of Magnetic Resonance,East China Normal University, Shanghai, China |
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The mean apparent propagator (MAP) MRI is an advanced diffusion model proposed recently for brain microstructure imaging. In this study, the MAP-MRI model was applied in diagnosis of migraineurs patient without aura. The results found that the parameter of MAP-MRI showed significant differences in in superior frontal gyrus, temporal lobe, cingulate gyrus, parahippocampal gyrus, hippocampus and left amygdata in MWoAs between patients and healthy controls. These findings further suggest involvement of the gray matter in pathology of migraine without aura. |
| 1824 | Viscerotoxic Brain Infarcts: A Voxel-Based Neuroanatomic Localization Study | |
| Ken Chang1, James Brown2, Praveer Singh1, Jay Patel1, Katharina Hoebel1, Andrew Beers3, Bruce Rosen1, Jayashree Kalpathy-Cramer1, and Hakan Ay1 | ||
1Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2University of Lincoln, Lincoln, United Kingdom, 3University of Washington, Seattle, WA, United States |
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It is currently not fully known what parts of the human brain predispose to neurogenic organ injury when injured. In this study, we aimed to identify the neuroanatomic correlates of a broad range of cardiac and systemic alterations occurring after ischemic stroke. Using a mapping technique that is free from the bias of a-priori hypothesis as to any specific location, we show that both cardiac and systemic abnormalities occurring after stroke map to specific infarct locations on diffusion-weighted MR. We show that these maps are predictive of the abnormalities as well as patient outcomes. |
| 1825
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QuaSI-MTR (qualitative scans for imaging MTR): deep-learned MTR from routine scans using U-nets. | |
| Antonio Ricciardi1,2, Francesco Grussu1,3, Ferran Prados1,2,4, Baris Kanber2, Rebecca S Samson1, Daniel C Alexander3, Declan T Chard1,5, and Claudia A M Gandini Wheeler-Kingshott1,6,7 | ||
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Universitat Oberta de Catalunya, Barcelona, Spain, 5National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, United Kingdom, 6Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 7Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy |
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Magnetisation transfer ratio (MTR) is a popular MR-modality for the identification of brain anomalies in multiple sclerosis due to its sensitivity to myelin changes. It however requires dedicated sequences with long acquisition times, which make its applicability in clinics less feasible. In this work, deep learning U-net architectures have been used to extract MTR information directly from routine qualitative images, bypassing the need for specialised acquisitions. Results show strong correlation with MTR and agreement between regional distributions in normal appearing tissues, both in healthy controls and multiple sclerosis patients. |
| 1826 | Measurement of cardiac pulsatile map in the brain without monitoring an external cardiac signal. | |
| Tae Kim1 and James T Becker1 | ||
1University of Pittsburgh, Pittsburgh, PA, United States |
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In order to obtain cardiac waveforms in the brain for studies with incomplete measurement by pulse-oximeter, we developed a technique to map cardiac pulsation directly from fMRI data itself. We compared the cardiac-phase from our method with that from pulse-oximeter and found they are highly correlated (r > 0.8). |
| 1827
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MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE): Development and Feasibility Study | |
| Zhehao Hu1,2, Anthony G. Christodoulou1, Nan Wang1,2, Yibin Xie1, Bin Sun3, Xiaoming Bi4, Fei Han4, Shlee S. Song5, Marcel M. Maya6, Debiao Li1,2,7, and Zhaoyang Fan1,2,7 | ||
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering Department, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 4Siemens Healthineers, Los Angeles, CA, United States, 5Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 7Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States |
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Perfusion MR imaging (i.e. DCE, DSC) has evolved as an increasingly common modality for evaluating a variety of cerebrovascular diseases, such as stroke and brain tumors, and susceptibility weighted imaging (SWI) is suitable for detection of intracranial hemorrhage. In this work, we developed an MR MultiTasking based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE) technique that can provide DCE, DSC and SWI information simultaneously with one 8-minute scan and a single contrast agent injection. Feasibility of MT-DICE was demonstrated in healthy volunteers and patients with hemorrhagic stroke or brain cancer. |
| 1828
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Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity | |
| Martijn Nagtegaal1, Ingo Hermann1,2, Sebastian Weingärtner1, Jeroen de Bresser3, and Frans Vos1 | ||
1Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, 2Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Radiology, Leiden University Medical Centre, Leiden, Netherlands |
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We propose a novel multi-component analysis for MR fingerprinting that enables detection of small lesions, while taking partial volume effects into account. The algorithm uses a joint sparsity constraint limiting the number of components in local regions. It is evaluated in simulations and on MRF-EPI data from a patient with multiple sclerosis (MS). MS-lesions are separated from other tissues based on having increased T2* relaxation times. The improved sensitivity to multiple components makes it possible to detect components with long relaxation times within the lesion, possibly increasing our insight into these small pathologies. |
| 1829 | Quantitative Evaluate the Differential Between Cerebral Microbleeds and Calcification in Susceptibility Weight Imaging Mapping | |
| Ke Gao1, Yu Luo1, and Yong Zhou1 | ||
1Department of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China |
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To quantitative assess the differential between cerebral microbleeds and calcification in susceptibility weight imaging mapping. We quantified the magnetic susceptibility value of calcifications and cerebral microbleeds(CMBs) in susceptibility weight imaging mapping. Significant difference of magnetic susceptibility value was found between them. The 95% confidence interval for the magnetic susceptibility value of the calcification and CMBs was different. The optimal threshold to detecting CMBs was selected by receiver operating characteristic. The conclusion was that magnetic susceptibility value can used to differential diagnose cerebral microbleeds and calcification in the susceptibility weighted imaging mapping. |
| 1830 | Development of simultaneous calcium photometry and fMRI of the mouse brain | |
| Shabnam Khorasani Gerdekoohi1, Hsu-Lei Lee1, Helena Hung-Yin Huang1, Pankaj Sah1, and Kai-Hsiang Chuang1,2 | ||
1Queensland Brain Institute, University of Queensland, Brisbane, Australia, 2Centre for Advanced Imaging, University of Queensland, Brisbane, Australia |
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Neural calcium activity of genetic reporter GCaMP6f was successfully recorded in 9.4T MRI. Event-related BOLD activation can be measured using short stimuli. Susceptibility artefacts from the optic fiber and dental cement affect fMRI quality. |
| 1831 | Quantitative measurement of cerebral blood flow in healthy volunteers and hypertension patients by multi-TI arterial spin labeling at 3 T MRI | |
| Fan Qiuju1, Tan Hui1, Yang Zhen1, Yu Nan1, Yu Yong1, Wang Shaoyu2, Xue Yu3, and Li Yue3 | ||
1Affiliated Hospital of Shaanxi University of Chinese Medicine, Shaanxi, China, 2MR senior scientific marketing specialist, Shaanxi, China, 3Shaanxi University of Chinese Medicine, Shaanxi, China |
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This study aimed to quantitative measurement of cerebral blood flow in different brain regions of different levels of blood pressure by mTI ASL. In the first part of this study, we evaluated the reproducibility of mTI-ASL in healthy subjects, and then mTI-ASL was used to evaluate 55 primary hypertension patients. There was no major variation between two consecutive mTI-ASL measurements in healthy volunteers. Furthermore, the rCBF and ATT values provided valuable information for the classification of hypertension, which can be used as a non-invasive quantitative monitoring MRI tool for hypertension progression. |
| 1832 | In-vivo imaging of current induced magnetic fields during High Definition transcranial direct current stimulation (HD-tDCS) | |
| Mayank A Jog1, Kay Jann1, Lirong Yan1, Chenyang Zhao1, Bhargavi Kannan1, and Danny JJ Wang1 | ||
1University of Southern California, Los Angeles, CA, United States |
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High-definition transcranial direct current stimulation (HD-tDCS) is an emerging neuromodulation technique that uses a multi-electrode montage to focally modulate regional brain activities. However, the effects of stimulation have been shown to be variable across subjects, and efforts to investigate this have been hampered by an inability to visualize the electric current distribution in-vivo. To address this, we developed a MR technique that maps the tDCS current induced magnetic fields in-vivo. The measured fields were robust (avg. ICC = 0.69) and show different hotspot-locations between subjects, potentially demonstrating the sensitivity of this technique to track individual differences in responses to HD-tDCS. |
| 1833 | Automated Segmentation of Human Skull to plan Craniofacial Surgery using dual-Radiofrequency dual-Echo, 3D Ultrashort Echo Time MRI sequence | |
| Pulkit Khandelwal1, Carrie E. Zimmerman2, Long Xie3, Hyunyeol Lee3, Cheng-Chieh Cheng3, Scott P. Bartlett2, Paul Yushkevich3, and Felix W. Wehrli3 | ||
1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Division of Plastic Surgery, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 3Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Bone-selective Magnetic Resonance Imaging (MRI) produced by a Dual Radiofrequency (RF), dual‐echo, 3D Ultrashort Echo Time (UTE) pulse sequence and bone‐selective image reconstruction process provides a radiation-free imaging modality with high concordance to computed tomography (CT). This imaging technique is of specific interest to craniofacial surgeons. Here, we pilot the use of an automated segmentation pipeline on the bone-selective MR images with the goal of reducing time required for the 3D segmentation step. This automated segmentation pipeline, used with bone-selective MRI could eliminate the need for radiative CT thereby reducing the risk of malignancy in pediatric craniofacial patients. |
| 1834 | Comparison between MPRAGE GRAPPA 2×1 with MPRAGE Wave-CAIPI 3×3 | |
| Azusa Sakurama1, Yasutaka Fushimi1, Satoshi Nakajima1, Yusuke Yokota1, Sonoko Oshima1, Sayo Otani1, Krishna Pandu Wicaksono1, Tomohisa Okada2, Wei Liu3, and Kaori Togashi1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Siemens Healthineers AG, Shenzhen, China |
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This comparison study between MPRAGE with GRAPPA and MPRAGE with Wave-CAIPI has been performed at the clinical MR scanner. MPRAGE with Wave-CAIPI 3×3 shows relatively good contrast despite its short scan time of 1 m 42 s. No segmentation error was found in MPRAGE with Wave-CAIPI 3×3 in our cohort. The correlation of cerebral cortex and cerebral white matter was very high between 2 MPRAGEs. In deep gray matters except pallidum and hippocampus, the correlation of VOIs were also high. These results suggest that volumes derived from automated segmentation of MPRAGE with Wave-CAIPI are reliable measures. |
| 1835 | Identifying RSN-like spatially covarying sources in synaptic density PET (11C-UCB-J) with independent component analysis | |
| Xiaotian T. Fang1, Takuya Toyonaga1, Ansel T. Hillmer1,2, Patrick D. Worhunsky2, and Richard E. Carson1 | ||
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Psychiatry, Yale School of Medicine, New Haven, CT, United States |
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Resting-state networks, functionally connected brain regions, are canonically investigated with resting-state functional-MRI. 11C-UCB-J is a recently developed PET tracer that binds and visualizes synaptic vesicle protein 2A. The aim is to identify networks of coherent 11C-UCB-J covariation patterns using independent component analysis. We find modest similarity between five 11C-UCB-J PET-based synaptic density sources and rs-fMRI template RSNs. In several sources, there are varying rates of age-related change in subject loading weight, consistent with functional changes in RSNs and age-related gray matter decline. Our findings support the independency of such networks and potential physiological links between synaptic density and brain function. |
| 1836 | Prediction-Identification Landscape for Brain Structure and Connectivity | |
| Sina Mansour L.1, Ye Tian2, Vanessa Cropley2, and Andrew Zalesky1,2 | ||
1Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia, 2Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, Australia |
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Neuroimaging-derived brain phenotypes can be used to identify individuals and predict behavior. We investigated the prediction and identification performance of brain structure and connectivity phenotypes derived from structural, functional and diffusion MRI. Five behavioral domains were predicted: cognition, illicit substance use, tobacco use, personality-emotion traits, and mental health. We arranged the phenotypes on a two-dimensional prediction-identification landscape. Functional connectivity performed better at prediction than identification, whereas the converse was found for curvature and other structural phenotypes. Structural connectivity performed well for both tasks. High-resolution measures outperformed atlas-based counterparts. Our work can aid brain phenotype selection in future neuroimaging studies. |
| 1837 | Quantitative mapping of brain tissue oxygenation around neural interfaces | |
| Babak Moghadas1, Arati Sridharan1, Livia De Mesquita1, Yuka Sugamura1, Jitendran Muthuswamy1, and Vikram D Kodibagkar1 | ||
1Biomedical engineering, Arizona State University, Tempe, AZ, United States |
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There is a significant need to spatially map the pO2 levels around chronically implanted neural devices to assess the impact on surrounding tissue. Here we apply a quantitative MRI based oximetry approach to map pO2 around neural interfaces. Electrodes were coated with polydimethylsiloxane matrix and soaked in tetradecamethylhexasiloxane, which was characterized and used as a 1H MR pO2 reporter along with the previously developed PISTOL technique. Tissue pO2 in response to air and oxygen breathing was successfully measured from around implanted electrodes. Future studies will combine single-unit electrophysiology with quantitative, high resolution spatial maps of pO2 levels in vivo. |
| 1838 | CMRO2 and slow-wave activity are inversely related during sleep: findings from concurrent EEG and OxFlow MRI. | |
| Alessandra Caporale1, Hyunyeol Lee1, Hui Lei2, Hengyi Rao3, Michael C Langham1, Alessandra A Caporale2, and Felix W Wehrli1 | ||
1Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 2Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States, 3Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States |
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Radial OxFlow, a technique able of measuring cerebral metabolic rate of oxygen (CMRO2) dynamically, has been combined with simultaneous electroencephalography (EEG) recording, during the natural onset of sleep and maintenance during a 50-min period of scanning. During sleep, CMRO2 (measured continuously with an effective temporal resolution of 3.4 seconds) decreased up to 24% with respect to pre-sleep wakefulness. CMRO2 changes were positively correlated with heart rate (r2=0.25-0.48, P<0.0005), and negatively with changes in EEG slow-wave activity (r2=0.41-0.67, P<0.005), when sleep onset and maintenance occurred. |
| 1839 | MR radiomic features Correlate with EEG Connectivity during Intermittent Photic Stimulation in Patients with Cavernous Malformation | |
| Nai-Chi Chen1, Cheng-Chia Lee2,3,4, Yo-Tsen Liu3,5,6, Chien-Chen Chou2, Chung-Jung Lin7, Wan-Yuo Guo3,7, Wen-Yuh Chung2,3, and Chia-Feng Lu1 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, 3School of Medicine, National Yang-Ming University, Taipei, Taiwan, 4Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 5Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 6Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, 7Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan |
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Cavernous malformation (CM) is one of the common cause for seizure attacks. Till now, the relationships between the structural characteristics of CM and the resultant abnormality of neural activity are still less explored. We employed MR radiomics analysis and EEG functional connectivity analysis to investigate whether quantitative and non-invasive features derived from these approaches can be used to differentiate CM patients with and without seizure. Furthermore, the association between structural and functional characteristics of CM were unraveled. |
| 1840 | Multimodal Quantitative Magnetic Resonance Imaging in Adolescent Idiopathic Scoliosis | |
| Bertwin Zhicheng Chen1, Reuben Chee Cheong Soh1,2, Septian Hartono2,3, Chu Ning Ann3, Ming-Ching Wen3, Weiling Lee1, Soo Lee Lim4, Julian Gan5, Yew Long Lo2,3, and Ling Ling Chan1,2 | ||
1Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3National Neuroscience Institute, Singapore, Singapore, 4National Heart Centre Singapore, Singapore, Singapore, 5Siemens Healthineers, Singapore, Singapore |
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The aetiopathogenesis of adolescent idiopathic scoliosis (AIS) remains elusive, with studies suggesting a neurological basis. Using a case control, multimodal approach incorporating volumetry and diffusion tensor imaging, we characterised brain MRI changes in AIS. The pontine volume was significantly larger while left insula was smaller in patients than controls. Whole brain Tract-Based Spatial Statistics (TBSS) showed no difference between subject cohorts. Tractography of the corticoreticular pathway (CRP), which innervates the axial muscles, showed significant differences in mean and axial diffusivity between the left and right CRP only in the patient cohort, but no such asymmetry in the control cohort. |
| 1841 | Fluorine-19 MR Characterisation of Siponimod as MR Theranostic Approach in the Treatment of Multiple Sclerosis | |
| Christian Prinz1, Fatima Sherazi1, Ludger Starke1, Paula Ramos Delgado1, Andre Kuehne2, Thoralf Niendorf1,2,3, and Sonia Waiczies1 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2MRI TOOLS GmbH, Berlin, Germany, 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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Siponimod is a trifluorinated anti-inflammatory drug indicated for Multiple Sclerosis that could be potentially tracked in pharmacokinetic studies by fluorine-19 (19F) MR techniques in order to support therapeutic monitoring. In this study, we investigated the 19F MR properties of siponimod and its dependency on environmental factors. We found a temperature dependence of the relaxation times T1 and T2 and identified a T2-drop in the presence of human serum. We identified UTE as SNR-efficient MR pulse sequence to study siponimod physiologically and show the potential of tailoring MR methods in the future to individual patient therapeutic needs. |
| 1842 | The performance of mean-apparent-propagator diffusion model in assessing brain parenchymal microstructure changes of hypertensive patients | |
| shenghui Xie1, shaoyu Wang2, xu Yan2, huapeng Zhang2, guang Yang3, and yang Gao1 | ||
1Department of radiology, affiliated hospital of Inner Mongolia medical university, Hohhot, China, 2MR Scientific Marketing, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, Shanghai, China |
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The purpose of this study was to evaluate the value of diffusion spectrum imaging (DSI) MAP diffusion model in the changes of brain tissue microstructure in patients with primary essential hypertension, as well as the differences of various parameters including RTOP, RTAP, RTPP, QIV and MSD between the hypertensive group and the normal control group. The results showed that there were significant differences between RTOP and QIV. All the MAP-MRI parameters showed obvious differences in detecting the changes of brain structure microstructure in the early stage of hypertension, especially the RTOP and QIV parameters. |
| 1843 | Definition of Brainstem Nuclei: Ventral Tegmental Area (VTA) and Dorsal Raphe Nucleus (DRN) | |
| Anna Crawford1, Stephen Jones1, and Mark Lowe1 | ||
1Imaging Institute, Cleveland Clinic Foundation, Cleveland, OH, United States |
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Many advanced imaging application require the identification of seed and target ROIs. Due to size, and signal characteristics some brain structures including brainstem nuclei are difficult to identify with MR imaging, while other types of imaging such as PET have other drawbacks such as poor spatial resolution. We have come up with a “recipe” for defining the ventral tegmental area (VTA) as well as the dorsal raphe nucleus (DRN) using three anatomic atlases. The definition of these ROIs were confirmed with PET imaging. Our method allows for robust, reproducible ROIs using only a high resolution T1 weighted image. |
| 1844 | Clinical Application of Six-fold Accelerated Submillimeter Whole Brain 3D T2-weighted Imaging with Deep Learning Reconstruction | |
| Sayo Otani1, Yasutaka Fushimi1, Satoshi Nakajima1, Yusuke Yokota1, Sonoko Oshima1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Yuichiro Sano2, Ryo Matusda2, Masahito Nambu2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Kawai Miyake4, Tsuneo Saga4, and Kaori Togashi1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Kyoto, Japan, 3Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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We have demonstrated six-fold accelerated submillimeter whole brain 3D T2-weighted imaging with deep learning reconstruction (DLR) showed better coefficient of variation and signal ratio compared with that without DLR. Scan time of around 2.5 min is clinically feasible and the delineation of fine structure is preserved after DLR processing. 3D T2-weighted image with better image quality derived from DLR will help clinicians and radiologists evaluate CSF space abnormalities, and its short scan time will be feasible for routine clinical examinations. |
| 1845 | Clinical evaluation of automated deep-learning based meningioma segmentation in multiparametric MRI | |
| Kai Laukamp1, Lenhard Pennig1, Frank Thiele1, Robert Reimer1, Lukas Goertz1, David Zopfs1, Georgy Shakirin1, Marco Timmer1, Michael Perkuhn1, and Jan Borggrefe1 | ||
1UKK, Cologne, Germany |
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We trained an established deep-learning-model architecture (3D-Deep-Convolutional-Neural-Network, DeepMedic) on manual segmentations from 70 meningiomas independently segmented by two radiologists. The trained deep-learning model was then validated in a group of 55 meningiomas. Ground truth segmentations were established by two further radiologists in a consensus reading. In the validation-group the comparison of the automated deep-learning-model and manual segmentations revealed average dice-coefficients of 0.91±0.08 for contrast-enhancing-tumor volume and 0.82±0.12 for total-lesion-volume. In the training-group, interreader-variabilities of the two manual readers were 0.92±0.07 for contrast-enhancing-tumor and 0.88±0.05 for total-lesion-volume. Deep-learning based automated segmentation yielded high segmentation accuracy, comparable to manual interreader-variability. |
| 1846 | Fast APTw imaging with Compress Sense technique in Glioma | |
| Cong Xie1, Yaou Liu1, Rongkai Ju2, Zhiwei Shen2, Zhizheng Zhuo1, Yunyun Duan1, Xiaobo Wang1, Qiong Qiu1, and Fenglian Zheng1 | ||
1Department of Radiology, Beijing Tiantan Hospital, Beijing, China, 2Philips,healthcare,China, Beijing, China |
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explorer the performance of in APTw with Compress Sense (CS) in the evaluation of glioma with high grade and low grade. |
| 1847 | A Container and Detailed Preparation Protocol for Ex Vivo Whole Human Brain MRI | |
| Alan C Seifert1,2,3, Joseph A Borrello1,2,3, Jessie Laffey4, Etty Cortes4, Tamjeed Sikder4, Enna Selmanovic5, Bradley N Delman2, John Crary4, Kristen Dams-O'Connor5, and Junqian Xu1,2,3,6 | ||
1Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Whole-brain ex vivo MRI has proven extremely valuable in neuroscience research, but detailed descriptions of the specific preparation and packaging steps to minimize motion, susceptibility artifacts, and background signal are often missing from reports of experimental findings. We present the design of a reproducible container and a detailed protocol that yield whole-brain images uncorrupted by susceptibility artifacts. The most important steps to eliminate susceptibility artifacts due to residual air bubbles are removal of the leptomeninges, application of vacuum to dislodge bubbles, immersion in Fluorinert, and rolling of the sealed container, although removal of leptomeninges may be undesirable in some cases. |
| 1848 | High temporal resolution glymphatic influx/efflux analysis with 3D-FISP sequence | |
| Evan Hunter Stanton1, Niklas Daniel Åke Persson1, Björn Sigurdsson1, Tuomas Lilius1, Humberto Mestre2, Maiken Nedergaard1, and Yuki Mori1,3 | ||
1Division of Glial Disease and Therapeutics, University of Copenhagen, Center for Translational Neuromedicine, Copenhagen, Denmark, 2Division of Glial Disease and Therapeutics, University of Rochester Medical Center, Center for Translational Neuromedicine, Rochester, NY, United States, 3Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, Panum NMR Core Facility, Copenhagen, Denmark |
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The glymphatic system is a brain waste clearance pathway based on cerebrospinal fluid (CSF) and interstitial fluid exchange. As such, this pathway plays important roles in both acute and neurodegenerative conditions. With 3D-FISP-based fast imaging, we investigated how anesthetic regiments, i.e., ketamine-xylazine (K/X) versus isoflurane, influences the movement of tracer through the brain. This was achieved by conducting acute cisterna magna cannulations, tracer scanning using 3D-FISP, and calculating dynamic tracer distribution maps. Our analysis demonstrates that anesthesia alters the spatial and temporal distribution of CSF tracer, with K/X showing higher influx, and isoflurane shunting CSF out via deep cervical nodes. |
| 1849 | Brain GABA levels distinguish multiple sclerosis and neuromyelitis optica using edited magnetic resonance spectroscopy | |
| fei gao1, fuxin ren1, weibo chen2, and guangbin wang1 | ||
1Shandong Medical Imaging Research Institute, Shandong University, Jinan, China, 2Philips Healthcare, shanghai, China |
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Distinguishing relapsing-remitting multiple sclerosis (RRMS) and neuromyelitis optica (NMO) is clinically important because they differ in prognosis and treatment. Edited magnetic resonance spectroscopy (MRS), using the MEGA-PRESS sequence, is the most widely used technique for detecting GABA in the human brain. However, none of the existing studies are performed to compare the brain GABA levels between patients with MS and NMO. In this study, we found GABA levels differences in the LHC and PCC between the RRMS and NMO patients, which may be helpful in distinguishing RRMS from NMO after further validation. |
| 1850 | Cross sectional evaluation of neurometabolic alterations in RRMS with fingolimod and injectable treatments using advanced MRS | |
| Oun Al-iedani1,2, Karen Ribbons2, Saadallah Ramadan1,2, Rodney Lea2, and Jeannette Lechner-Scott2,3,4 | ||
1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute (HMRI), Newcastle, Australia, 3School of Medicine and Public Health, University of Newcastle, Newcastle, Australia, 4Department of Neurology, John Hunter Hospital, Newcastle, Australia |
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This novel study evaluated the amount of axonal injury with neurometabolite in RRMS patients on fingolimod(N=52) and injectable(N=46) treatments compared with 51 HCs in hippocampus using advanced MRS. PRESS-MRS of the hippocampal voxel(30x15x15mm3) and clinical assessments for RRMS and HCs were acquired. Hippocampal MR-spectra were analysed by LCModel. Hippocampal-NAA/tCr decreased (fingolimod:-17%,p=0.001;injectables:-15%,p=0.01) and in Glx/tCr increased (fingolimod:+16%,p=0.001;injectables:+15%,p=0.02) in RRMS compared to HCs. Total-ARCS (r=0.402) and memory in particular (r=0.428) displayed associations with hippocampal NAA/tCr. This study is the first cross-sectional in-vivo investigation comparing the impact of fingolimod and injectable treatments on the hippocampal metabolism in RRMS patients. |
| 1851 | Human cerebral blood flow-metabolic uncoupling during acute hypoxia: A 1H Magnetic Resonance Spectroscopy & Arterial Spin Labelling study | |
| Matthew Rogan1,2, Alexander Friend2, Gabriella Rossetti2, Jamie Macdonald2, Sam Oliver2, and Paul Mullins1 | ||
1The Bangor Imaging Centre, School of Psychology, Bangor University, Bangor, United Kingdom, 2Extremes Research Group, School of Sport Health and Exercise Science, Bangor University, Bangor, United Kingdom |
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Acute exposure to a moderate hypoxic environment leads to regional specific reduction in cerebral blood flow (rCBF) to the posterior cingulate cortex. Despite this, there is no concomitant reduction in the main excitatory neurotransmitter glutamate, as would be expected if the reductions in rCBF were coupled to neural activity. Our findings obtained using a combined 1H Magnetic Resonance Spectroscopy and Arterial Spin Labelling paradigm indicate that hypoxia disrupts neurovascular coupling, as it is presently understood, in a regionally specific manner. |
| 1852 | Hippocampal concentration of glutamate: A comparative study of CEST and 1HMRS measurements at 7T. | |
| Tomohisa Okada1, Ravi Prakash Reddy Nanga2, Koji Fujimoto1, Dinh Ha Duy Thuy1, Ravinder Reddy2, Hideto Kuribayashi3, Yuta Urushibata3, Ravi Teja Seethamraju4, Sinyeob Ahn5, and Tadashi Isa1 | ||
1Kyoto University, Kyoto, Japan, 2University of Pennsylvania, Philadelphia, PA, United States, 3Siemens Healthcare K.K., Tokyo, Japan, 4Siemens Healthineers USA, Burlington, MA, United States, 5Siemens Healthineers USA, Berkeley, CA, United States |
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Chemical exchange saturation transfer of the glutamate (GluCEST) contrast is considered from glutamate to be about 70 - 75 %. Its values at the bilateral hippocampus were compared to those of 1HMRS in 10 healthy subjects. Correlation between GluCEST contrast and glutamate from 1HMRS measurements of all subjects was marginally significant (r = 0.44, p = 0.054), but it was statistically significant (r = 0.56, p = 0.030) when analysis was limited to 1HMRS measurements with SNR ≥ 10. The GluCEST map gives regional difference in glutamate concentration in high resolution and is expected to facilitate investigation of the hippocampus. |
| 1853 | Brain and immune system crosstalk: Examining the link between proinflammatory markers and glial markers measured with 1H-MRS at 7T | |
| Carl-Johan Boraxbekk1,2,3, Anna Lind1, Esben Thade Petersen1,4, Hartwig Roman Siebner1,5,6, and Anouk Marsman1 | ||
1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark, 2Department of Radiation Sciences, Umeå University, Umeå, Sweden, 3Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark, 4Center for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark, 5Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, 6Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark |
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Inflammation is proposed as one of the central pillars driving ageing. This study was the first to link peripheral inflammation to brain metabolite differences during normal ageing and to associate this to visuo-spatial working memory performance. Our data shows how peripheral inflammatory markers were associated with performance on visuo-spatial working memory and glial metabolic markers in ACC, Hippocampus, and Thalamus. The findings highlight the role of glial cells as part of the neurobiological link between peripheral inflammation and cognitive performance during ageing. |
| 1854 | Neurochemistry and cognition across age: Examining the link between working memory and neuronal and glial markers measured with 1H-MRS at 7T | |
| Anouk Marsman1, Anna Lind1, Esben Thade Petersen1,2, Hartwig Roman Siebner1,3,4, and Carl-Johan Boraxbekk1,5,6 | ||
1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 2Center for Magnetic Resonance, Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark, 3Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, 4Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark, 5Department of Radiation Sciences, Umeå University, Umeå, Sweden, 6Institute of Sports Medicine Copenhagen, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark |
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Ageing has been associated with widespread neurochemical changes and cognitive decline. The increased sensitivity and resolution of 1H-MRS at 7T could shed new light on the potential relationship between neurochemistry and cognition during ageing. Our data show that primarily levels of glial metabolic markers, and not neuronal markers, differed between younger, middle-aged and older normal individuals and were correlated with visuo-spatial working memory performance across these age groups. This suggests that glial markers may be more affected by ageing than neuronal markers and that there is a potential association between glial markers and visuo-spatial working memory performance during ageing. |
| 1855 | Diffusion of NAA as a marker for tau pathology in Alzheimer's disease - a combined diffusion weighted MRS and positron emission tomography study. | |
| Nicola Spotorno1, Markus Nilsson2, Boel Hansson2, Felix Andersson3, Antonie Leuzy3, Danielle van Westen2, Oskar Hansson3, and Itamar Ronen4 | ||
1Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Diagnostic Radiology, Lund University, Lund, Sweden, 3Department of clinical sciences Malmö, Lund University, Lund, Sweden, 4Department of Radiology, Leiden University Medical Center, Leiden, Netherlands |
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Intraneuronal tau accumulation is a hallmark of Alzheimer's disease. Currently, positron emission tomography with tau specific ligands (Tau-PET) is the only neuroimaging method for measuring tau in AD. In this study that combines Tau-PET with diffusion weighted MRS we show that the apparent diffusion coefficient of NAA, a neuronal metabolite, is significantly lower in AD patients compared to healthy controls in a brain region that shows elevated levels of uptake of the tau-PET ligand. Standard MRS data shows elevated level of glial metabolites, suggesting concomitant gliosis of neuroinflamation. We propose ADC(tNAA) as a putative marker for tau aggregation in AD. |
| 1856
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Neuronal and Astroglial Metabolism in icv-STZ Mouse Model of Alzheimer’s Disease: A 1H-[13C]-NMR Study | |
| Narayan Datt Soni1, Dipak Roy2, Akila Ramesh2, and Anant Bahadur Patel2 | ||
1NMR spectroscopy and Microimaging, CSIR-CCMB, Hyderabad, India, 2NMR Spectroscopy and Microimaging, CSIR-CCMB, Hyderabad, India |
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Alzheimer’s Disease (AD) has been categorized into familial (~5%) and sporadic AD (~95%). Familial cases are genetic whereas sporadic AD (sAD) is acquired during individual’s lifespan. Intracerebroventricular(icv) streptozotocin(stz) administered animals has been shown to resemble AD phenotype through many molecular studies. In this study we have investigated the impact of icv-stz treatment on memory and neurometabolic activity by infusion of [1,6-13C2]Glucose and [2-13C]Acetate in conjunction with NMR spectroscopy. Our findings have shown the compromised memory, perturbed neurometabolic homeostasis along with decreased synaptic neurotransmission across glutamatergic and GABAergic synapse in cortical and hippocampal brain regions of icv-stz treated mouse. |
| 1857 | Comparison of three tissue sodium concentration quantification methods at 3T and 7T MRI. | |
| Lazar Fleysher1, Mounir El Mendili2, Guilaume Madelin3, Fernando Boada 3, and Matilde Inglese2 | ||
1Mount Sinai Medical Center, New York, NY, United States, 2Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3NYU School of Medicine, New York, NY, United States |
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We report results of a comparison of three methods of tissue sodium concentration (TSC) quantification which use GRE, FLORET and TPI acquisition techniques at different field strengths. Results demonstrate a good inter-method agreement (better than 10%) in TCS quantification. |
| 1858 | Microstructural Attributes of Hemispheric Lateralization: A Combined Evaluation of Diffusion Spectrum Imaging and MR Spectroscopic Imaging | |
| Xinnan Li1, Kagari Abiko2, Yuta Urushibata3, Hiroyuki Hamaguchi1, Sinyeob Ahn4, and Khin Khin Tha5,6 | ||
1Department of Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 2Hokkaido University Hospital, Sapporo, Japan, 3Siemens Healthineers, Tokyo, Japan, 4Siemens Healthineers, San Francisco, CA, United States, 5Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 6Global Station for Quantum Medical Science and Engineering, Hokkaido University, Sapporo, Japan |
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We evaluated the extent of laterality of the diffusion spectrum imaging (DSI) indices, and tested the association of their laterality to laterality of neurometabolite concentrations derived from whole-brain MR spectroscopic imaging (MRSI). Leftward asymmetry was observed mainly in the motor structures and rightward asymmetry in the structures associated with attention and emotion. A similar pattern of GFA, NQA and FA laterality in NAA/Cr and Cho/Cr and a reversed pattern in ADC were observed. The combination of DSI and MRSI can be helpful for a better understanding of ongoing neural processes. Hemispheric lateralization needs to be paid attention when interpreting pathologies. |
| 1859 | Rosette spectroscopic imaging of epilepsy at 3T | |
| Jullie W Pan1, Arun Antony2, Victor W Yushmanov1, Claud W Schirda2, and Hoby P Hetherington1 | ||
1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2UPMC, Pittsburgh, PA, United States |
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Our group has implemented the rosette trajectory at 3T with 3dimensional phase and Hadamard encoding to achieve multi- and whole-slice spectroscopic images covering a total longitudinal 60mm. These acquisitions are applied in n=25 surgical epilepsy patients (15 medial temporal lobe; 10 neocortical epilepsy), evaluating metabolic dysfunction in terms of overlap with surgical target and outcome. In 19/25 patients the MRSI identified gyral regions of overlap between the abnormal MRSI and surgical therapy. Based on a 4% cut segregation of fractional volume of MRSI abnormalities, the outcome ILAE score was significantly lower (better) in patients with <=4% abnormality compared to >4%. |
| 1860 | CDP-choline may influence metabolite levels in the anterior cingulate of people in remission of depression | |
| Reggie Taylor1, Emma Lynn1,2, Pierre Blier1,2, Gerd Melkus3,4, Verner Knott1,2, and Natalia Jaworska1,2 | ||
1Institute of Mental Health Research, Ottawa, ON, Canada, 2Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada, 3The Ottawa Hospital, Ottawa, ON, Canada, 4Radiology, University of Ottawa, Ottawa, ON, Canada |
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Cognitive deficits often persist beyond remission in major depressive disorder (MDD). CDP-choline has shown improvements in cognition in other populations characterized by cognitive deficits. These improvements may be due to interactions with the glutamatergic and cholinergic systems. The aim of this ongoing study was to assess the neurochemical response through magnetic resonance spectroscopy to the acute administration of CDP-choline compared with placebo in the anterior cingulate in a group of remitted MDD participants. Early results indicate possible relationships between glutamate and myo-inositol concentrations, and CDP-choline. |
| 1861 | N-Acetyl Aspartate and Myo-Inositol as biomarkers of HIV infection in the brain | |
| Teddy Salan1, Sameer Vyas2, Paramjeet Singh2, Sulaiman Sheriff3, Mahendra Kumar4, and Varan Govind1 | ||
1Radiology, University of Miami, Miami, FL, United States, 2Postgraduate Institute for Medical Education & Research, Chandigarh, India, 3University of Miami, Miami, FL, United States, 4Psychiatry and Behavioral Sciences, University of Miami, Miami, FL, United States |
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The purpose of this study is to determine whether magnetic resonance spectroscopic imaging (MRSI) can identify metabolite biomarkers of HIV infection in the brain. Concentrations of N-acetyl aspartate (NAA), choline (CHO), creatine (CR), myo-inositol (MI), and glutamate and glutamine (GLX) were measured at the whole-brain level and compared between HIV+ and healthy control subjects. Significant reductions in NAA and increases in MI are observed throughout the brain, while the concentrations of other metabolites show no significant change. |
| 1862 | Automatic detection of Multiple Sclerosis cortical lesions based on 3D-FLAIR and MP2RAGE sequences | |
| Francesco La Rosa1,2, Ahmed Abdulkadir3, Mário João Fartaria1,2,4, Reza Rahmanzadeh5,6, Riccardo Galbusera5,6, Jean-Philippe Thiran1,2, Cristina Granziera5,6, and Meritxell Bach Cuadra1,2 | ||
1LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Radiology Department, Center for Biomedical Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Universitäre Psychiatrische Dienste and University of Bern, Bern, Switzerland, 4Siemens Healthcare AG Switzerland, Lausanne, Switzerland, 5Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 6Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland |
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Multiple Sclerosis cortical lesions are not readily visible in conventional MRI, but they are clinically highly relevant and have been recently included in the MS diagnostic criteria. However, advanced MRI sequences such as the MP2RAGE are needed in order to identify them visually. In this work, we propose an automatic method based on a convolutional neural network to automatically detect cortical lesions. In a cohort of 84 patients with FLAIR and MP2RAGE acquisitions our framework achieves a 77% cortical lesion detection rate with a 26% lesion-wise false positive rate. |
| 1863 | Deep-Learning based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images | |
| Wenhao Jiang1,2, Jian Zhang1, Peng Cao3, Jing Gu1, and Silun Wang1 | ||
1YiWei Medical Technology Co.,Ltd, Shenzhen, China, 2School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, 3Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong |
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In this work, deep-learning-based methods were utilized to segment white matter hyperintensities (WMH) on T2-weighted MRI from 213 patients diagnosed with ischemia and lacune. Vulnerability maps of each disease were generated regarding the prevalence of WMH registered to the standard MNI template. The WMH were allocated into 68 regions of interest using a Hammers atlas. Correlation among the region-specific WMH was analyzed for a lesion-symptom study. |
| 1864 | Brain graph representation of structural disconnectivity estimated with an atlas-based approach in multiple sclerosis | |
| Veronica Ravano1,2,3, Michaela Andelova4, Mazen Fouad A-Wali Mahdi1, Reto Meuli2, Tomas Uher4, Jan Krasensky5, Manuela Vaneckova5, Dana Horakova4, Tobias Kober1,2,6, and Jonas Richiardi1,2 | ||
1Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Medical Imaging Processing, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Neurology and Center of Clinical Neuroscience First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 5MR unit, Department of Radiology First Facutly of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic, 6LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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In multiple sclerosis, the correlation between clinical scores and classical radiological metrics is poor (“clinico-radiological paradox”). To improve the prediction of future disease course, we suggest to study structural brain disconnectivity resulting from white matter lesions. We proposed an atlas-based approach to quantify structural disconnectomes without diffusion imaging, as it is typically not part of clinical routine MR protocols for multiple sclerosis. The disconnectome was modelled as a graph where brain regions are vertices and affected connections edges. Our method provides a new representation of brain disconnectivity that enables to stratify multiple sclerosis patients in two groups with different prognosis. |
| 1865 | Transfer learning with progressive training as a novel approach for classifying clinical forms of multiple sclerosis based on clinical MRI | |
| Daniel McClement1, Jinseo Lee2, Glen Pridham2, Olayinka Oladosu2, Zahra Hosseinpour2, and Yunyan Zhang2 | ||
1University of British Columbia, Vancouver, BC, Canada, 2University of Calgary, Calgary, AB, Canada |
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Transfer learning and greedy layer-wise training are two potential approaches to advance the performance of deep learning, particularly in fields with limited sample size including medical imaging. Taking the advantage of both, we have implemented a novel strategy that allows progressive training with transfer learning using the VGG19 network. Based on clinical MRI of 19 patients only, our approach achieved 88% accuracy in classifying relapsing remitting from secondary progressive multiple sclerosis (MS), 6% greater than training with the traditional approach. This innovative method may help provide new insight into the pathogenesis and progression mechanisms in MS. |
| 1866 | Automatic Assessment of DWI-ASPECTS for Assessment of Acute Ischemic Stroke using Recurrent Residual Convolutional Network | |
| Luu-Ngoc Do1, Byung-Hyun Beak2, Seul-Kee Kim3, Hyung-Jeong Yang4, Woong Yoon5, and Ilwoo Park5 | ||
1Department of Radiology, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Radiology, Chonnam National University Hospital, Gwangju, Korea, Republic of, 3Department of Radiology, Chonnam National University Hwasun Hospital, Gwangju, Korea, Republic of, 4Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 5Department of Radiology, Chonnam National University Medical School and Hospital, Gwangju, Korea, Republic of |
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The purpose of this study was to demonstrate the feasibility of using deep learning algorithms for automatic classification of DWI-ASPECTS from patients with acute ischemic stroke. DWI data from 319 patients with acute anterior circulation stroke were used to train and validate recurrent residual convolutional neural network models for binary task of classifying low- vs high- DWI-ASPECTS. Our model produced the accuracy of 84.9 ± 1.5% and the AUC of 0.925 ± 0.009, suggesting that this algorithm may provide an important ancillary tool for clinicians in a time-sensitive assessment of DWI-ASPECTS from acute ischemic stroke patients. |
| 1867 | Using an Artificial Neural Network for Fast Mapping of the Oxygen Extraction Fraction with Combined QSM and qBOLD | |
| Simon Hubertus1, Sebastian Thomas1, Junghun Cho2, Shun Zhang3,4, Yi Wang2,3, and Lothar R. Schad1 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States, 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 4Department of Radiology, Tongji Hospital, Wuhan, China |
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MRI-based mapping of the oxygen extraction fraction (OEF) is a valuable addition to diagnosis and treatment planning of various diseases; yet, it often lacks robustness and suffers from elaborate, time-consuming reconstructions. We trained an artificial neural network (ANN) on simulated QSM values and qBOLD data, tested it in 7 healthy volunteers and compared it to a standard quasi-Newton approach. The ANN reduced the intersubject variability of OEF by regularizing the reconstruction. Moreover, it lowered the reconstruction time from approximately one hour to one second and removed the necessity of accurate parameter initialization through an additional acquisition. |
| 1868 | An end-to-end MR-based classification of arteriolar sclerosis using 3D convolutional neural networks | |
| Nazanin Makkinejad1, Ashish A. Tamhane2, Carles Javierre Petit1, 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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Arteriolar sclerosis is common in the brains of older adults and has been shown to be associated with cognitive decline and dementia. Definitive diagnosis of arteriolar sclerosis is only possible at autopsy. The purpose of this work was to develop an end-to-end deep learning model to predict the presence of severe arteriolar sclerosis from MR images without the need to extract hand-engineered features. The model was developed by combining ex-vivo MRI and pathology data in a large community-based cohort of older adults. |
| 1869 | Fast prediction of whole-brain cerebral microbleed masks from 7T SWI imaging with a deep residual 3D UNet | |
| James R Golden1, Yicheng Chen1, Melanie A Morrison1, Kate Nelson1, and Janine M Lupo1 | ||
1Radiology, UCSF, San Francisco, CA, United States |
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Cerebral microbleeds (CMBs) are known risk factors of stroke and hemorrhage that can be a marker of cognitive impairment. Although CMBs are easily visualized with susceptibility weighted imaging, they are burdensome to localize and quantify manually. Image processing algorithms based on the radial symmetry transform have previously been used to identify candidate CMBs, and convolutional neural networks have been effective at distinguishing real CMBs from mimics with high sensitivity and specificity. A deep neural network was trained to carry out this entire pipeline and to predict CMB voxel masks using a dataset of radiation therapy-induded CMBs from patients with gliomas. |
| 1870 | Fetal Cortical Plate Segmentation using 2D Recurrent Residual U-Net with Plane Aggregation | |
| Jinwoo Hong1,2, HyukJin Yun1, Gilsoon Park2, Jong-Min Lee2, and Kiho Im1 | ||
1Division of Newborn Medicine, Boston Children's Hospital, BOSTON, MA, United States, 2Hanyang University, Seoul, Korea, Republic of |
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Quantitative measurements about sulcal patterns are a basic approach to characterize the possibility of neurological disorders. In this study, we used recurrent residual U-Net. Also, to improve the accuracy of segmentation, the models of each plain in the MR image were produced separately and the results combined. As a result, the cortical plate segmentation showed an average dice coefficient of 0.901 ± 0.030, and segmentation for the internal region of the cortical plate showed 0.978 ± 0.010. The proposed method is expected to be useful as a quantitative developmental measurement of the fetus. |
| 1871 | Realistic MRI simulation pipeline for anatomically variable normal young, aging and diseased brain | |
| Aymen Ayaz1, Jouke Smink2, Tom Geraedts3, Cristian Lorenz4, Juergen Weese4, and Marcel Breeuwer1,2 | ||
1Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 2MR R&D – Clinical Science, Philips Healthcare, Best, Netherlands, 3MR R&D – Collaboration Office, Philips Healthcare, Best, Netherlands, 4Philips Research Laboratories, Hamburg, Germany |
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A pipeline based on the XCAT phantom, the JEMRIS software for simulating the MR signal and a commercial reconstruction pipeline has been set-up for simulating realistic brain MRI images. Using this pipeline, an anatomically variable brain MRI population is simulated across age and gender. Anatomical variation is generated by means of changing individual brain sizes, and cortical gray matter volumes to mimic aging brain. MS lesions are simulated to mimic diseased brain as well. Significant contrast is generated across detailed brain structures. The commercial reconstruction pipeline increased the realism of simulated data. |
| 1872 | A robust transfer learning method to improve early diagnosis of autism spectrum disorder classification | |
| Bonian Lu1 and Gopikrishna Deshpande1 | ||
1AU MRI Research Center, Electrical and Computer Engineering, Auburn University, Auburn, AL, United States |
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Overfitting, the main issue that constrains the validity and generalizability of machine-learning in neuroimaging-based diagnostic-classification, is in part due to small sample-sizes in relation to what is required for generalization. Even with data aggregation (such as in ABIDE), the relatively smaller sample-sizes are a result of the fact that it is difficult/expensive to acquire data from clinical-populations. With healthy-controls, we have comparatively larger samples available. Therefore, we propose to address overfitting by using larger healthy-samples (HCP) to learn the neural signature of healthy-controls, with the aim of transferring that learning into the context of discriminating Autism from healthy-controls. |
| 1873 | Predicting the brain state index, pupil dynamics, with rs-fMRI signal-trained models | |
| Filip Sobczak1,2, Patricia Pais-Roldán1,3, Xiaoning Zhao1, and Xin Yu1,4 | ||
1Translational Neuroimaging and Neural Control Group, High Field Magnetic Resonance Department, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, Tuebingen, Germany, 3Forschungszentrum Jülich, Jülich, Germany, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States |
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Lately, we have acquired the resting state fMRI (rs-fMRI) signal with pupillometry from anesthetized rats to investigate specific resting-state network correlations with brain state-specific pupil dynamics. Here we used the acquired data to estimate the instantaneous arousal index based on the rs-fMRI signal. We evaluated predicting pupil dynamics using three methods: linear regression (LR), gated recurrent unit (GRU) neural networks and a previously proposed correlation-based (CC) approach. LR and GRU provided much better predictions than CC method. Also, using weighted PCA components, we can identify specific regions of the brain related to pupil dynamics as the brain state index. |
| 1874 | Decoupling the default mode network and global state oscillation by neural network-based prediction of the fMRI signal fluctuation | |
| Filip Sobczak1,2, Yi He1,3, Terrence J. Sejnowski4,5, and Xin Yu1,6 | ||
1Translational Neuroimaging and Neural Control Group, High Field Magnetic Resonance Department, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, Tuebingen, Germany, 3Danish Research Centre for Magnetic Resonance, Hvidovre, Denmark, 4Howard Hughes Medical Institute, Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, United States, 5Division of Biological Sciences, University of California, San Diego, CA, United States, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States |
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Previously we developed an echo-state network (ESN) to predict the future temporal evolution of the rs-fMRI slow oscillatory feature from both rodent and human brains. In particular, rs-fMRI signals from individual blood vessels that were strongly correlated with neural calcium oscillations were used to train an ESN to predict brain state-specific rs-fMRI signal fluctuations. Here, the ESN-based predictive model was applied to classify rs-fMRI datasets from the Human Connectome Project (HCP). The ESN enables to decouple the brain state-dependent global rs-fMRI signal fluctuation from the intrinsic activity of the default-mode network. |
| 1875 | The moderation effects of depression and anxiety on sleep-linked cortical morphology in general population | |
| Yanlin Wang1, Ping Jiang1, Shi Tang1, Lu Lu1, Xuan Bu1, Hailong Li1, Yingxue Gao1, Lianqing Zhang1, Lingxiao Cao1, Jing Liu1, Xinyue Hu1, Xinyu Hu1, 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, Sichuan University, Chengdu 610041, China, Chengdu, China |
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It remains unclear whether cortical changes in poor sleep quality are modulated by emotional distress in the general population. An Elastic-Net Regularized Generalized Linear Models based on bootstrapping was implemented to acquire candidate regions for sleep quality. The moderation effects of emotional distress on the relationship between sleep quality and cortical morphometry were acquired by a hierarchical regression. The low level of emotional distress could offset positive correlation between sleep quality and dorsal anterior cingulate cortex (dACC) volume. The result indicates dACC volume enlargement might be a compensatory response to poor sleep quality, or a marker of resilience against recurrent emotional distress. |
| 1876 | Deep learning based image reconstruction for improved multiparameter mapping and synthetic MRI | |
| Ken-Pin Hwang1, Xinzeng Wang2, Marc Lebel2, Peter Johansson3, Catharina Petersen3, Marcel Warntjes3, Ersin Bayram2, Suchandriam Banerjee2, Jingfei Ma1, and Jason M Johnson4 | ||
1Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 2MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 3SyntheticMR, Linkoping, Sweden, 4Department of Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States |
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Images from a multiparameter mapping sequence were reconstructed with a novel deep learning based reconstruction (DL Recon) method trained to remove noise and enhance edges. Mean T1, T2, and PD values as measured in a system phantom differed by less than 0.6% between the DL and conventional reconstructions, while noise was lower in all measurements on DL Recon images. In vivo synthetic images also exhibited reduced noise and increased definition of structures. We find that the SNR and resolution benefits of DL Recon applied to raw MR data extend to improve the fitted relaxation maps and subsequent synthetic images. |
| 1877 | Deep Learning Enables Accurate Quantitative Volumetric Brain MRI with 2x Faster Scan Times | |
| Long Wang1, Suzie Bash2, Sara Dupont1, Sebastian Magda3, Chris Airriess3, Enhao Gong1, Greg Zaharchuk1,4, Ajit Shankaranarayanan1, and Tao Zhang1 | ||
1Subtle Medical Inc, Menlo Park, CA, United States, 2RadNet, Encino, CA, United States, 3CorTechs Labs Inc, San Diego, CA, United States, 4Stanford University, Stanford, CA, United States |
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3D T1-weighted MRI is valuable for providing high resolution structural information and is commonly used in brain MRI exams despite long scan times. The recent development of deep learning (DL) has shown great potential for scan time reduction. However, the generalizability of DL methods is of concern for actual clinical deployment. In this study, we apply FDA-cleared DL software to accelerate 3D T1-weighted MRI scans by two folds and evaluate the quantification accuracy using FDA-cleared image analysis software. This study provides insight into the generalizability and accuracy of DL in clinical settings. |
| 1878 | Quantitative imaging enhancement with deep learning based denoising: a validation study | |
| Valentin H. Prevost1, Bei Zhang2, Clemence Bal3, and Wolter de Graaf2 | ||
1Canon Medical Systems Corporation, Tochigi, Japan, 2Canon Medical Systems Europe, Zoetermeer, Netherlands, 3Bordeaux University, Bordeaux, France |
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In MRI, signal noise ratio is the key point, determining the image quality and its medical relevance. Different ways exist to significantly increase it and then to access to high resolution imaging. Preliminary works introduced deep learning based denoising on several contexts and conclude to a significant signal noise ratio on qualitative images. However, it has not been tested yet on quantitative imaging sequences, questioning its feasibility and potential in this context. In this study, we investigated the DLR impact on calculated T1 and T2 relaxation times and diffusion imaging in healthy human brain areas. |
| 1879 | Automatic deep learning segmentation of grey and white matter lesions in 7T MRI data | |
| Frederik Luca Sandig1,2, Julian Emmerich3,4, Edris El-Sanosy1,2, Mark Ladd1,2,3, Heinz-Peter Schlemmer1, and Sina Straub3 | ||
1Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Medicine, Heidelberg University, Heidelberg, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany |
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Multiple sclerosis is a chronic inflammatory disease characterized by demyelination. Magnetic resonance imaging (MRI) is an important method for diagnosis and prognosis predictions. The ongoing study presented here shows the use of deep learning algorithms for white and grey matter lesion segmentation in 7T MRI images. Results show high accuracy for patients with high lesion load. Furthermore, it is demonstrated that it is possible to train a neural net to find small cortical lesions, which can be used as a potential biomarker. |
| 1880 | Representation Learning of Fiber Tracts and Direct Comparison of Tract Distributions | |
| Kaikai Shen1,2,3, Lee Reid1, Samantha Burnham1, and Jurgen Fripp1 | ||
1Australian eHealth Research Centre, CSIRO, Herston, Australia, 2Department of Biomedical Sciences, Macquarie University, Sydney, Australia, 3Rapiscan Systems, Sydney, Australia |
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The distribution of fiber population in the whole brain can be inferred from the samples generated by tractography on diffusion MRI. In this paper, we modeled the distribution of fiber population globally based on representation learning method. Using deep neural networks, we performed dimension reduction on the fiber tracts, and modeled the fiber population by a probability distribution over a latent space in lower dimension. This method enabled us to identify tracts distributed with different densities when compared with another tractogram, and can thus be used to identify structural difference or to detect spurious tracts caused by probabilistic tractography. |
| 1881 | Incorporating Deep Learning into Multi-shot EPI DWI Reconstruction | |
| Hui Zhang1, ZiYing Feng2, Fei Dai1, WeiBo Chen3, YiShi Wang4, ChengYan Wang2, and He Wang1,2 | ||
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Human Phenome Institute, Fudan University, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Philips Heathcare, Beijing, China |
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This work tried to optimize MUSE for high resolution multi-shot EPI DWI reconstruction by using Convolutional neural network (CNN). By using multi-scale U-net learning neural network, final reconstructed images showed less artifacts due to the improved phase estimation. Besides, CNN can improve the computational efficiency for the image reconstruction process. |
| 1882 | A Machine Learning Based Method to Distinguish between Tumor and Non-Tumor within FLAIR Non-Enhancing Regions of Brain Lesions | |
| Robert Wujek1,2, Melissa Prah3, Mona Al-Gizawiy3, and Kathleen Schmainda3 | ||
1Graduate School, Medical College of Wisconsin, Milwaukee, WI, United States, 2Graduate School, Marquette University, Milwaukee, WI, United States, 3Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States |
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There is a clinical need for a biomarker that can distinguish between infiltrative tumor and non-tumor within FLAIR non-enhancing brain lesions. In this study, we used multi-parametric MRI and FLAIR non-enhancing biopsy ground truths to train a 3D convolutional neural network to address this need. |
| 1883 | Initial clinical evaluation of deep-learning-based image synthesis and superresolution using a clinical dataset of patients with brain lesions | |
| Ai Nakao1, Daiki Tamada2, Tomohiro Takamura2, Shintaro Ichikawa2, Utaroh Motosugi2, and Yasuhiko Terada1 | ||
1Institute of Applied Physics, University of Tsukuba, Tsukuba, Japan, 2Department of Radiology, University of Yamanashi, Chuo, Japan |
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Shortening scan time has been a long-standing goal in MRI, and image synthesis and superresolution using deep learning (DL) are promising tools for achieving this goal. However, most of studies use datasets with healthy volunteers for network training, and the clinical evaluation has not yet been fully performed. Here we trained networks using a large, clinical dataset of patients with brain lesions, and evaluated the generated images in terms of the diagnostic image quality and performance. Our results showed that FLAIR superresolution outperformed FLAIR image synthesis. Our results could also provide useful guidelines for evaluating diagnostic performance of DL-based networks. |
| 1884 | Regional gray matter volume predicts HIV-positive patients with HAND using a machine learning approach | |
| Danhui Fu1, Guanqiao Jin1, Lidong Liu1, Wenjuan Deng1, Wei Zhang1, Qianlin Ding1, Weiyin Vivian Liu2, Long Qian2, and Danke Su1 | ||
1GuangXi Medical University Cancer Hospital, Nanning, China, 2MR Research, GE Healthcare, Beijin, China |
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Conventional neuropsychometric tests could not early detect HIV-associated neurocognitive disorder (HAND) on HIV-patients. More objective indicators with neuroimaging techniques have offered to sub-classify patients with specific symptoms. Significant differences of regional gray matter volumes (rGMV) betweenHIV-positive group and age-matched healthy group was found in our preliminary study. Ten major rGMV well distinguished HIV-positive patients with HAND from those without HAND. Our study showed rGMV might be an indicator to explain for neurocognitive impairments. |
| 1885 | A Support Vector Machine Prediction Model for HIV-Status in Adults Using Magnetic Resonance Angiography and Arterial Spin Labeling of the Brain | |
| Kyle Murray1, Igor B Titoff2, Henry Wang3, Jianhui Zhong1,3, and Giovanni Schifitto2,3 | ||
1Physics and Astronomy, University of Rochester, Webster, NY, United States, 2Neurology, University of Rochester, Rochester, NY, United States, 3Imaging Sciences, University of Rochester, Rochester, NY, United States |
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HIV-infection is known to be related to vascular diseases, which can be explored via cerebral imaging techniques such as magnetic resonance angiography (MRA) and arterial spin labeling (ASL). In this abstract, we use quantitative features extracted from demographic information and vascular imaging data, only, to predict HIV-status in adults using a support vector machine (SVM). This is the first SVM to reasonably predict HIV-status in an aging HIV-population on combination antiretroviral therapy, which may have future biological implications in HIV research. |
| 1886 | Functional and structural connectivity predict MS patients’ impairment level using an ensemble model applied with a machine learning method | |
| Ceren Tozlu1, Keith Jamison1, Susan Gauthier1,2,3, and Amy Kuceyeski1,4 | ||
1Department of Radiology, Weill Cornell Medicine, New York City, NY, United States, 2Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, United States, 3Department of Neurology, Weill Cornell Medicine, New York City, NY, United States, 4Brain and Mind Research Institute, Weill Cornell Medicine, Ithaca, NY, United States |
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No study to date has performed a rigorous analysis of the relative contributions of multi-modal imaging data including the brain’s functional (FC) and structural connectivity (SC) in the task of classifying high and low adapting MS patients for a deeper understanding of the connectome-level mechanism contributing to variability in MS-related impairment. We built a machine learning based ensemble model that can accurately classify MS patients as high and low adapters (AUC> 0.626). We observed that SC and FC networks can be used to identify the most discriminative regions and to accurately classify MS patients regarding their impairment level. |
| 1887 | Synthetic CMB generation for Training classifiers on QSM images | |
| Saba Momeni1,2, Amir Fazlollahi1, Pierrick Bourgeat1, Paul Yate3, Nawaf Yassi4, Patricia Desmond5, Yongsheng Gao2, Alan Wee Chung Liew6, and Olivier Salvado7 | ||
1CSIRO Health and Biosecurity, Brisbane, Australia, 2Griffith University, Brisbane, Australia, 3Department of Nuclear Medicine and Centre for PET, Brisbane, Australia, 4University of Melbourne, Parkville, Australia, Melbourne, Australia, 5Austin Health Heidelberg, Australia, Melbourne, Australia, 6Griffith University, Gold coast, Australia, 7Data61, Brisbane, Australia |
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The lack of clinical dataset with enough examples of rare lesions challenges supervised machine learning methods. Here we propose to generate synthetic lesions for training a classifier to identify microbleeds from MRI QSM. We show that the performance of the classifier is improved compare to standard data augmentation using actual data alone. Our synthetic dataset can have unlimited size allowing to perform validation experiment, while keeping the actual data for testing. Moreover, many aspects of the data can be investigated, which would not be possible when using actual lesions: lesions can be synthetize on any location, size, shape, and intensity. |
| 1888 | Predicting suicidal ideation from depressive patients using autoencoder machine-learning model with brain generalized q-sampling imaging | |
| Jun-Cheng Weng1,2,3, Tung-Yeh Lin1, Man Teng Cheok1, Yuan-Hsiung Tsai4, Yi-Peng Eve Chang5, and Vincent Chin-Hung Chen3,6 | ||
1Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, 2Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, 5Department of Counseling and Clinical Psychology, Columbia University, New York City, NY, United States, 6School of Medicine, Chang Gung University, Taoyuan, Taiwan |
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It is estimated that at least one million people die by suicide every year, showing the importance of suicide prevention and detection. An autoencoder and machine learning model was employed to predict people with suicidal ideation based on their brain structural imaging. Our results showed that the best pattern of structure across multiple brain locations can classify suicidal ideates from NS and HC with a prediction accuracy of 85%, a specificity of 100% and a sensitivity of 75%. The algorithms developed here might provide an objective tool to help identify suicidal ideation risk among depressed patients alongside clinical assessment. |
| 1889 | Feasibility of deep learned reconstruction for dual-echo fast spin echo based T2 mapping of the hippocampus and hippocampal subfield | |
| Ho-Joon Lee1, Yeonah Kang1, Marc Lebel2, Min Soo Park3, and Joonsung Lee3 | ||
1Department of Radiology, Haeundae Paik Hospital, Busan, Republic of Korea, 2MR Collaboration and Development, GE Healthcare, Calagary, AB, Canada, 3GE Healthcare Korea, Seoul, Republic of Korea |
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With the increased scientific interest in hippocampal subfields, a clinically applicable T2 mapping method is demanding. With a dual echo fast spin echo based approach, we were able to acquire high resolution T2 maps <5 minutes scan time. With recently introduced deep learned reconstruction, improved image quality of T2 weighted image, and T2 map is observed. Differences in measurements regarding T2 values and volumes of hippocampal subfields will be presented. |
| 1890 | The efficacy of half dose gadolinium for contrast enhanced MRI of the brain using artificial intelligence algorithms and machine learning. | |
| Matthew Joseph Kuhn1, Julia Patriarche2, Douglas Patriarche2, Annabel Kuhn3, and Andrew Scott Kuhn4 | ||
1Radiology, University of Illinois College of Medicine, Peoria, IL, United States, 2A.I. Analysis, Inc., Seattle, WA, United States, 3Medical College of Wisconsin, Milwuakee, WI, United States, 4Radiology, Yale University, New Haven, CT, United States |
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The use of half dose gadolinium coupled with artificial intelligence algorithms is effective in visualizing primary and metastatic disease to the brain and reduces gadolinium retention concerns. There is potential cost savings from the use of lower dose gadolinium. |
| 1891 | 3D Mask R-CNN model comparison for brain tumor segmentation in individual modality dataset | |
| Huijin Song1, Eunji Kim2, Hyunsil Cha2, Moon Jung Hwang3, Yongmin Chang2,4, and Chul-Ho Sohn5 | ||
1Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea, Republic of, 2Medical & Biological Engineering, Kyungpook National University, Daegu, Korea, Republic of, 3GE Health Korea, Seoul, Korea, Republic of, 4Radiology, College of Medicine, Kyungpook National University, Daegu, Korea, Republic of, 5Radiology, Seoul National University Hospital, Seoul, Korea, Republic of |
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Deep learning-based brain tumor segmentation requires multi-modality dataset for a precision accuracy. However, multi-modality data acquisition has a limitation due to several reasons. In this study, we propose that a 3D Mask R-CNN network model could provide a reliable accuracy in individual modality dataset for brain tumor segmentation. |
| 1892 | Differentiation of adult supratentorial ependymomas from high grade gliomas using textural features based on diffusion weighted imaging. | |
| Abhilasha Indoria1, Madhura Ingalhalikar2, and Jitender Saini1 | ||
1Neuroimaging and Interventional Radiology, NIMHANS, Bengaluru, India, 2Symbiosis Centre for Medical Image Analysis (SCMIA), Symbiosis International University, Pune, India |
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High grade extraventricular supratentorial ependymoma’s in adults are uncommon neoplasms with imaging features that can mimic cortical tumors if small and high-grade gliomas (HGG) if large. No previous work has tried to discriminate ependymoma from high grade gliomas using MRI. Our work evaluates preoperative diffusion weighted imaging for discrimination of ependymomas from grade III and grade IV gliomas using textural analysis. Results demonstrate significant differences in the histogram and first order textural features derived from diffusion weighted imaging in cases of ependymomas and high-grade gliomas. |
| 1893 | On Differentiation of Pilocytic Astrocytoma from High-Grade-Glioma Tumor using Machine Learning Based upon Quantitative T1 Perfusion MRI | |
| Anup Singh1,2, Neha Vats1, Virendra Kumar Yadav1, Anirban Sengupta3, Rakesh Kumar Gupta4, Sumeet Agarwal5, Mamta Gupta6, Rana Patir7, Sunita Ahlawat6, and Jitender Saini8 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Biomedical Engineering, AIIMS, New Delhi, India, 3Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 5Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 6Fortis Memorial Research Institute, Gurugram, India, 7Neurosurgery, Fortis Memorial Research Institute, Gurugram, India, 8Department of Neuroimaging and Interventional Radiology (NIIR), NIMHANS Bangalore, Bangalore, India |
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Imaging based diagnosis of Pilocytic Astrocytoma (PA) is quite important for better prognosis. PA can easily be misdiagnosed since its location, growth pattern, and contrast enhancement often mimic a more aggressive high-grade glioma(HGG) tumor. In the current study, quantitative analysis of T1-Perfusion(DCE) MRI data was performed followed by extraction of various features from tumor region and development of an optimized support-vector-machine(SVM) classifier for automatic differentiation of PA vs HGG. The proposed machine learning based approach which uses features derived from quantitative T1 perfusion MRI and tumor volume fraction can enable accurate diagnosis of PA and HGG tumors. |
| 1894 | Automated Segmentation of Brain Meningioma MRIs with Generative Adversarial Networks | |
| Agata Sularz1, Fulvio Zaccagna1, Dimitri A Kessler1, Fraser Tonnard1, Sonia Benitez1, Thomas Santarius2, Fiona J Gilbert1, Tomasz Matys1, and Joshua D Kaggie1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Neurosurgery, University of Cambridge, Cambridge, United Kingdom |
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We describe a deep learning method for fully-automated brain meningioma MRI segmentation. A conditional generative adversarial network (cGAN) was trained on T1 contrast-enhanced (T1ce) MRI of 37 patients. We explored the effect of batch size, transfer learning and histogram equalization on segmentation accuracy. The highest results for T1ce images were achieved for meningioma dataset of batch size = 1 (DSC = 0.347). Histogram equalization improved segmentation accuracy for batch size = 1 (DSC = 0.364) and batch size = 200. Transfer learning on a publicly available glioma dataset did not improve segmentation results. |
| 1895 | Deep Learning synthesis of PET-like CBF maps from arterial spin labeling MRI: Rapid Clinical Deployment & Evaluation | |
| David D Shin1, David Yen-Ting Chen2, Audrey P Fan2, Moss Y Zhao2, Jia Guo3, Suchandrima Banerjee1, and Greg Zaharchuk2 | ||
1GE Healthcare, Menlo Park, CA, United States, 2Stanford University, Stanford, CA, United States, 3University of California, Riverside, CA, United States |
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Deep learning ASL Pipeline is presented that automatically retrieves relevant MR images from multiple clinical scanners, performs preprocessing/inferencing and returns the derived synthesized PET-like CBF maps back to the scanners for rapid clinical evaluation and prototyping. |
| 1896 | Rapid brain segmentation in T1w MRI with fully convolutional networks: development and comparison of different network constructions | |
| Jeremiah W Sanders1, Jason M Johnson2, Jong Bum Son1, Zijian Zhou1, Henry Szu-Meng Chen1, Joshua Yung1, Jason Szu-Meng Stafford1, Melissa Chen2, Maria Gule-Monroe2, Ho-Ling Liu1, Mark D Pagel3, and Jingfei Ma1 | ||
1Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2Neuroradiology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, 3Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Neurocognitive function is often associated with structural differences in the brain for patients with neurofibromatosis type-1 (NF1), and studies have shown that NF1 is associated with larger subcortical volumes and thicker cortices of certain brain structures. Routine monitoring of NF1 patients would be possible with tools that enable rapid whole-brain segmentation in standard of care T1w MRI. Modern machine learning techniques, including fully convolutional networks (FCNs), have demonstrated the ability to rapidly perform segmentation tasks across a range of applications. In this work, we investigate the performance of different FCNs for rapid whole-brain segmentation in pediatric T1w brain MRI. |
| 1897 | Deep-Learning Reconstruction Method for Improved High-Resolution Imaging of the Lateral Rectus-Superior Rectus Band in a Clinical Setting | |
| Patrick Quarterman1, Gul Moonis2, and Marc Lebel3 | ||
1GE Healthcare, New York, NY, United States, 2Radiology, Columbia University, New York, NY, United States, 3GE Healthcare, Calgary, AB, Canada |
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The purpose of this study was to determine the effectiveness of using deep learning reconstruction (DL Recon) for improved signal-to-noise (SNR) allowing for higher resolution imaging of the lateral rectus-superior rectus band of the orbit without substantial increase in scan/exam time. Evaluation of this new reconstruction technique was performed on a group of 5 volunteers with results indicating that higher resolution protocols can produce images with increased SNR and removal of noise leading to higher confidence in identifying the lateral rectus-superior rectus band. |
| 1898 | Evidence of altered degree centrality on patients with HIV: a machine learning approach | |
| Danhui Fu1, Guanqiao Jin1, Lidong Liu1, Wenjuan Deng1, Sen Hong1, Qianlin Ding1, Long Qian2, Weiyin Vivian Liu2, and Danke Su1 | ||
1GuangXi Medical University Cancer Hospital, Nanning, China, 2MR Research, GE Healthcare, Beijin, China |
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Early detection of cognitive impairments in HIV carriers is essential. Neuroimaging studies has shown brain structure and function of HIV-positive patients are associated with cognition malfunction. However, the conclusions reported from previous studies are mainly based on the univariate analysis, such as t-test. In recent days, increasing attention have focused on the multivariate pattern analysis. Hence, in current study, we demonstrated the aberrant degree centrality (DC) using a machine learning approach. Our results suggested that DC might be an indicator to early detect neurocognitive impairments. |
| 1899 | A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease | |
| xiao hu1, chaoyong xiao2, xiangrong zhang2, sidong liu3, zaixu cui4, weiguo liu5, and long qian6 | ||
1radiology, nanjing brain hospital, nanjing, China, 2nanjing brain hospital, nanjing, China, 3Clinical Medicine, Macquarie University, Sydney, Australia, 4Psychiatry, University of Pennsylvania, Philadelphia, PA, United States, 5neurology, nanjing brain hospital, nanjing, China, 6Biomedical Engineering, Peking University, beijing, China |
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Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms.1 The abnormalities of white-matter (WM) tracts/regions have been demonstrated in PD. However, previous studies have largely dependent on univariate analysis, such as t-test, which may result in Type-1 error. Further, it remains unclear whether the disruption of WM tracts/regions provided worthwhile information to identify PD from HC. Hence, in current study, a machine learning approach was applied to investigate the white matter profiles of PD. |
| 1900 | Application of GAN in optimizing compressed sensed MR imaging of brachxial plexus | |
| Yan Fu1, Tianjing Zhang2, Haixia Li3, Yichen Tong3, Xiangchuang Kong4, and Dingxi Liu4 | ||
1EPFL, Lausanne, Switzerland, 2Philips Healthcare, Guangzhou, China, 3Sun Yat-Sen University, Guangzhou, China, 4Radiology, Union Hospital,Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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In routine MRI clinical application of compressed sensing, the image quality is often not useful for diagnosis when its CS(Compressed SENSE) acceleration factor is beyond a certain level(e.g. 8 or 10). It is desirable to further accelerate MR sequences in multiple applications such as brachial plexus nerve, coronary artery, and so on. It is possible to use generative adversarial network(GAN) models to further optimize the imaging workflow by improving the image quality of data acquired with high CS factors. |
| 1901 | Can MRI of the lumbar spine identify neurogenic claudication patients reliably? - Comparison of single variable and machine learning approaches. | |
| Richard Michael Gagen1, Carmen Dragos2, and Charles Hutchinson1 | ||
1Populations, Evidence and Technology, Warwick Medical School, University of Warwick, Coventry, United Kingdom, 2Imaging, University Hospital Covenry and Warwickshire, Coventry, United Kingdom |
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A case-referant type study assessing the performance of MRI lumbar spine based measurements of the spinal canal in classifying participants as either having neurogenic claudication or non-specific low-back pain. Three measurements of the central lumbar canal are assessed: the dural-sac cross-sectional area, anteroposterior canal diameter and A-D grading system proposed by Schizas et al. The performance of these measurements is compared to a machine learning model incorporating a range of other MRI measurements and demographic information. |
| 1902 | Deep Learning for Classifying Patients with Obstructive Sleep Apnea from Healthy Controls using High-resolution T1-weighted Images | |
| Bo Pang1, Bhaswati Roy2, Milena Lai2, Luke Ehlert2, Ravi S. Aysola 3, Daniel W. Kang3, Ariana Anderson1,4, and Rajesh Kumar2,5,6,7 | ||
1Statistics, University of California at Los Angeles, Los Angeles, CA, United States, 2Anesthesiology, University of California at Los Angeles, Los Angeles, CA, United States, 3Medicine, University of California at Los Angeles, Los Angeles, CA, United States, 4Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, United States, 5Radiology, University of California at Los Angeles, Los Angeles, CA, United States, 6Bioengineering, University of California at Los Angeles, Los Angeles, CA, United States, 7Brain Research Institute, University of California at Los Angeles, Los Angeles, CA, United States |
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Deep learning has demonstrated impressive performance in a wide range of complex and high-dimensional imaging data, including medical image classification and segmentation. One major challenge of harnessing the power of neural networks in image analysis is the small sample size. The present work utilizes deep learning models to classify high-resolution T1-weighted images of obstructive sleep apnea patients (OSA) from healthy controls. Using 193 participants and with adopted model regularization and exponential moving averaging of model weights, we showed 65% testing accuracy and 80% sensitivity. The findings demonstrate the potential for applying neural network models in assisting image-based OSA diagnoses. |
| 1903 | Automatic feature extraction and machine learning prediction of stroke functional outcome based on histogram information of baseline ADC | |
| Yoon-Chul Kim1, In-Young Baek2, Ji-Eun Lee2, Ha Na Song2, and Woo-Keun Seo2 | ||
1Clinical Research Institute, Samsung Medical Center, Sungkyunkwan Univ. Sch. of Med., Seoul, Republic of Korea, 2Department of Neurology, Samsung Medical Center, Sungkyunkwan Univ. School of Medicine, Seoul, Republic of Korea |
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This study demonstrates an automatic method that predicts favorable/unfavorable clinical outcome based on pre-treatment DWI data and machine learning (ML) in acute ischemic stroke. We present the use of ADC histogram information in the brain tissue as features for the ML prediction. In the histogram analysis, the 5 or 10 percentile value of the ADC distribution was indicative of clinical outcome regardless of success/failure of recanalization. The ROC analysis in unseen test subjects resulted in an area under the curve (AUC) of 0.79 with the proposed feature extraction, which was greater than 0.71 with the DWI lesion volume only. |
| 1904 | Improving Segmentation Method with the Combination between Deep Learning and Uncertainties in Brain Tumor | |
| Joohyun Lee1, Jongho Lee1, and Haejin Kim2 | ||
1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea, 2Department of Basic Science and Technology, Hongik University, Sejong, Republic of Korea |
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Although segmentation using deep learning performs well, it often works poorly on small lesions or boundaries of lesion. This can occur the serious issues when applying in the medical images and the more reliable method is essential. In this study, we developed a deep learning process based on the uncertainty measurements that improves brain tumor segmentation. For selectively maximizing either precision or recall, two types of segmentation methods were presented. |
| 1905 | Prediction of Hemorrhage Free Survival after Gamma Knife Radiosurgery Based on Preradiosurgical MR Radiomics in Cavernous Malformation | |
| Chia-Feng Lu1, Cheng-Chia Lee2,3,4, Hsiu-Mei Wu3,5, Huai-Che Yang2,3, Man-Chin Chen1, Chung-Jung Lin3,5, Wan-Yuo Guo3,5, and Wen-Yuh Chung2,3 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, 3School of Medicine, National Yang-Ming University, Taipei, Taiwan, 4Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 5Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan |
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Even though the gamma knife radiosurgery (GKRS) shows promising evidence in treating cavernous malformation (CM), there are still a part of patients will have a recurrent hemorrhage after radiosurgery. We proposed a prediction model based on preradiosurgical MR radiomics to estimate the personalized hemorrhage free survival after GKRS. The satisfactory results of the proposed model can benefit the healthcare in patients with CM by providing a reliable prognosis before treatment. |
| 1906 | Detection of cerebral infarction and estimation of vascular territory via deep convolutional autoencode | |
| Yuya Saito1,2, Akihiko Wada2, Shimpei Kato2, Koji Kamagata2, Masaaki Hori3, and Shigeki Aoki2 | ||
1Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 2Department of Radiology, Graduate School of Medicine, Juntendo University, Tokyo, Japan, 3Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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In the treatment of acute infarction, the detection of abnormal high signals in diffusion weighted images contributes to early diagnosis and treatment of infarction. In this study, we developed a deep learning neural network model via autoencoder (AE) to diagnosis brain infarction and predict vascular territory automatically from a DWI image. 1582 brain images including normal and abnormal brain which had infarctions were used as a training and test dataset. As a result, our model detected brain infarction and estimated vascular territory with high accuracy. It can be an effective indicator for diagnosing correctly infarction and predicting treatment effect. |
| 1907 | Radiomics and Machine Learning for Prediction of Recurrence in Meningiomas | |
| Ching-Chung Ko1,2, Yang Zhang3, Kai-Ting Chang3, Jeon-Hor Chen3,4, and Min-Ying Lydia Su3 | ||
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Department of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiological Sciences, University of California, Irvine, CA, United States, 4E-Da Hospital/I-Shou University, Kaohsiung, Taiwan |
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A subset of benign meningiomas may show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of meningiomas is to determine factors that correlate with P/R. This study investigated the role of radiomics and machine learning for the prediction of P/R in meningiomas. 128 patients diagnosed with WHO grade I meningioma were studied. Total 214 descriptors were extracted from the various MR sequences. The prediction accuracy of P/R was 74% and the AUC of the prediction model was 0.80. |
| 1908 | Radiomics Approach for Prediction of Recurrence in Pituitary Macroadenomas | |
| Ching-Chung Ko1,2, Kai-Ting Chang3, Yang Zhang3, Jeon-Hor Chen3,4, and Min-Ying Lydia Su3 | ||
1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Department of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Radiological Sciences, University of California, Irvine, CA, United States, 4E-Da Hospital/I-Shou University, Kaohsiung, Taiwan |
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A subset of nonfunctioning pituitary macroadenomas (NFMAs) show early progression/recurrence (P/R) after surgery. In clinical practice, one of the main challenges in the treatment of NFMAs is to determine factors that correlate with P/R. This study investigated the role of radiomics for the prediction of P/R in NFMAs. 50 patients diagnosed with benign NFMAs were studied. Totally 214 descriptors were extracted from the various MR sequences. The prediction accuracy of P/R was 82% and the AUC of the prediction model was 0.78. |
| 1909 | A Deep Transfer Learning Model to Predict Patient Outcome in ICH using the Fusion of Clinical and Fluid-Attenuated Inversion Recovery Imaging Data | |
| Jinghua Wang1, Ming Chen2,3, Lili He2,4, Hailong Li2, Vivek Khandwala1, David Wang1, Brady Williamson1, Daniel Woo5, and Achala Vagal1 | ||
1Radiology, University of Cincinnati, Cincinnati, OH, United States, 2The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, United States, 4Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 5Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, United States |
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Timely and reliable prognostic tools for intracerebral hemorrhage (ICH) have great potential to guide physician decision making. They are potentially useful for targeting patients for interventions and optimizing rehabilitation strategies. The objective of this study is to investigate if a deep transfer learning model can capture individual variability to predict clinical outcome for ICH patients at 3 months using the integration of clinical and T2-weighted fluid-attenuated inversion recovery (FLAIR) imaging data. Our model was able to correctly identify patients likely to have unfavorable outcomes with an AUC of 0.87 (95% confidence interval: 0.86, 0.89). |
| 1910 | A machine learning model using T2-weighted FLAIR radiomics features to predict patient outcome in ICH | |
| Jinghua Wang1, Ming Chen2,3, Lili He2,4, Hailong Li2, Vivek Khandwala1, David Wang1, Brady Williamson1, Daniel Woo5, and Achala Vagal1 | ||
1Radiology, University of Cincinnati, Cincinnati, OH, United States, 2The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Electrical Engineering and Computer Science, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 4Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 5Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, United States |
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Intracerebral hemorrhage (ICH) accounts for 10% - 30% of all strokes and is associated with high short-term mortality (≤50% at 3 month). There is a critical unmet need for an effective prognostic tool using imaging markers to identify patients at risk for poor outcome and thereby better facilitating treatments at individual level as well as tailoring personalized interventions and optimizing rehabilitation strategies. In this work, we developed a machine learning method using radiomics features derived from T2-weighted FLAIR images to predict recovery outcome in patients with ICH at 3 months with a accuracy of 80.8% (95% confidence interval: 78.9%, 82.8%). |
| 1911 | A radiomics signature for supratentorial extra-ventricular ependymomas on multimodal MRI | |
| Sumeet Shinde1, Tanay Chougule1, Jitender Saini2, and Madhura Ingalhalikar1 | ||
1Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, India |
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High grade supratentorial ependymomas in adults are rare neoplasms with imaging features that can often be confused for high grade gliomas. However, the pathogenesis of ependymoma’s differs significantly and it therefore crucial to determine pre-operative non-invasive markers for treatment planning and optimization. Our work creates a multi-variate 3-way classification framework based on multimodal MRI radiomics to discriminate supra-tentorial ependymomas, grade III and IV gliomas. Results demonstrate high accuracy with specific textures that evolve as the top discriminative features and can be pursued for clinical applicability. |
| 1912 | Validating multimodal MRI based stratification of IDH genotype using radiomics and CNNs | |
| Madhura Ingalhalikar1, Tanay Chougule1, Sumeet Shinde1, Vani Santosh2, and Jitender Saini3 | ||
1Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, India, 2Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, India, 3Department of Radiology, National Institute of Mental Health and Neurosciences, Bangalore, India |
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Radiomics based multi-variate models and state-of-art convolutional neural networks (CNNs) have demonstrated their usefulness for predicting IDH genotype in gliomas from MRI images. However, adaptability and clinical explanability of these models on unseen multi-center datasets has not been investigated. Our work trains radiomics and CNN based classifiers on a large dataset (TCIA) and tests multiple local datasets. Results demonstrate higher adaptability of radiomics than standard CNNs, except for transfer learned CNNs. Better interpretability was obtained from feature ranking (in case of radiomics) and high resolution class activation maps (in case of CNNs). |
| 1913 | Combined Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe) and Pyradiomics features to predict the prognosis of gliomas. | |
| Xiaoxue Liu1, Baoming Li2, Jianrui Li1, Li Yu2, Jun Xu2, Guangming Lu1, and Zhiqiang Zhang1 | ||
1Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China, 2Jiangsu Key Laboratory of Big Data Analysis Technique and CICAEET, Nanjing University of Information Science and Technology, Nanjing, China |
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We tried to establish a model based on features extracted from Pyradiomic framework and Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe) in MRI to predict the prognosis of gliomas. Fifty-five pathologically confirmed glioma patients were retrospectively collected. All patients underwent 3DTI enhancement, standardized treatment and follow-up for overall survival. 1781 Pyradiomic features and 260 CoLlAGe features were collected. Three Cox proportional hazards models were fitted with Pyradiomics features, CoLlAGe features and Pyradiomics+CoLlAGe features. The C-index in these models were 0.835, 0.820 and 0.844, respectively. The model with Pyradiomics+CoLlAGe features demonstrated improved survival predictive performance than the single model. |
| 1914 | Identifying texture features that may serve as bio-markers of various subgroups of glioblastoma segmented using T1-perfusion MRI | |
| Suhail Pathan Parvaze1, Mamta Gupta2, Anup Singh3, Rana Patir4, Sunita Ahlawat2, Madhura Ingalhalikar5, Neha Vats3, and Rakesh Kumar Gupta2 | ||
1Philips Innovation Campus, Bangalore, India, 2Fortis Memorial Research Institute, Gurgaon, India, 3Indian Institute of Technology, New Delhi, India, 4Department of Neurosurgery, Fortis Memorial Research Institute, Gurgaon, India, 5Symbiosis Center for Medical Image analysis, Symbiosis International University, Pune, India |
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This work aimed at identifying radiomic signatures that discriminate glioblastoma sub-regions ( enhancing tumor, non-enhancing, necrosis and edema) using DCE T1 perfusion based post contrast MRI. Results demonstrated texture features that delineate the four regions as well as separate the tumoral region from normative white matter. These radiomic signatures can be further investigated to gain deeper understanding of tumor progression and recurrence. |
| 1915 | Radiomics biomarker analysis for differentiating glioblastoma and brain solitary metastasis from lung cancer using T2-weighted imaging | |
| Zhe Liu1, Wenxin Xue1, Xiaotong Liu2, Ting Liang1, Chao Jin1, Xiaocheng Wei3, Buyue Qian2, and Jian Yang1 | ||
1The first affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2Xi’an Jiaotong University, Xi’an, China, 3MR Research China, GE Healthcare,, Xi'an, China |
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Glioblastoma and brain solitary metastasis from lung cancer have similar peritumoral edema on T2-weighted imaging (T2WI). However, indistinguishable signs between these two tumors embarrass the radiologists and lead to high misdiagnosis rate. To address such issue, radiomics biomarkers were analyzed to detail the tumors’ histologic and morphologic characteristics. Results indicated that radiomics biomarkers including histogram of oriented gradient, shape and grey level co-occurrence matrix, which charaterize the lesion’s shape and signal showed good performance in differentiating these two tumors. Furthermore, using those radiomics biomarkers, a gradient-boosting machine learning model was established and showed good performance (Area under the curve=0.88). |
| 1916 | Investigating the Biological Basis of the BOLD fMRI Signal in Mice | |
| Zhiva Skachokova1, Felix Schlegel1, Horea-Ioan Ioanas1, Aileen Schroeter1, and Markus Rudin1,2 | ||
1ETH Zurich, Zurich, Switzerland, 2University of Zurich, Zurich, Switzerland |
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How is the BOLD fMRI signal generated still remains unclear. By using a combination of simultaneous calcium imaging and fMRI, we studied the involvement of both astrocytes and neurons in blood flow regulation during electrical hindpaw stimulation in mice. The observed response duration varies based on the anesthesia used, however a strong correlation between astrocytic calcium and BOLD signal was present. Our method allows the study of neurovascular coupling mechanisms in the intact brain and points to the importance of astrocytes in this process, and can be further used to study BOLD signal alterations e.g. in models of neurodegeneration. |
| 1917 | Quantitative white matter fibers in a mouse model of a neurodevelopmental disease: Insights from high spatial resolution 3D-DTI | |
| Maxime Leclercq1, Jean Christophe Deloulme2, Michèle Bertacchi3, Michèle Studer3, and Hana Lahrech1 | ||
1BrainTech Lab Inserm U1205, Grenoble, France, 2GIN Inserm U836, Grenoble, France, 3iBV Inserm U1091, Nice, France |
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Microscopic 3D-DTI was applied to detect brain connection defects in COUP-TFI-mutant mice. Several tractography abnormalities were identified supporting a major role of COUP-TFI gene acting in the formation and guidance of forebrain commissures. DTI results are in agreement with those using fluorescent dyes, but identifies deficiencies of other cortical tracts not previously described. As COUP-TFI (NR2F1 in humans) mutations were also linked to a complex neurodevelopmental disease in humans, this work underlines the interest of 3D-DTI to study the whole brain in patients as those affected with Bosch-Boonstra-Schaaf optic-atrophy syndrome due to NR2F1 gene mutations/deletions, an emerging rare neurodevelopmental disease. |
| 1918 | Detecting Synaptic Dysfunction caused by Pathological α-Synuclein Accumulation in Mouse Brain using MRS | |
| Yuhei Takado1, Maiko Ono2, Keiichiro Minatohara2, Masafumi Shimojo2, Nobuhiro Nitta2, Sayaka Shibata2, Naruhiko Sahara2, Ichio Aoki2, Masato Hasegawa3, and Makoto Higuchi2 | ||
1Department of Functional Brain Imaging Research, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 2National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 3Dementia Research Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan |
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To develop therapeutic strategies, in vivo detection of the early pathological changes in Parkinson’s disease is critically important. In this work, we aimed to detect early pathological changes caused by the propagation of α-synuclein in mouse brain using MRS. Recombinant α-synuclein and fibrils were prepared and injected into C57BL6 mice. 8 weeks after the injection, glutamate levels were decreased significantly compared to saline-injected control mice, which was in accordance with decreased synapsin staining in the cortex. We demonstrated that MRS can detect synaptic dysfunction caused by α-synuclein propagation in vivo. |
| 1919
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Age-related hyperactivity of brain oxygen metabolism in a novel Tau-APP mouse model of Alzheimer’s disease | |
| Zhiliang Wei1,2, Jiadi Xu1,2, Kerstin E. Braunstein3, Lin Chen1,2, Tong Li3, Philip C. Wong3, and Hanzhang Lu1,2,4 | ||
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 Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Alzheimer’s disease (AD) has been the leading cause of cognitive impairment and decline in elder individuals. Cross-sectional human studies have reported declined cerebral oxygen metabolism in AD patients tentatively attributed to reduced neuron cells. However, longitudinal change in oxygen metabolism remains unclear. We, therefore, performed a multi-modality (MRI, behavior test, and histology) study on a novel AD mouse model, dubbed as Tau4RΔK-AP, which largely mimics the pathological processes of tau-tangles and amyloid plaques as in human AD. Enhanced oxygen metabolism has been found in Tau4RΔK-AP mice, possibly indicating a compensatory response or an inefficiency of the brain energy consumption. |
| 1920 | Human Mesenchymal Stem Cell Donor Effects on Apparent Diffusion Coefficient in a Rodent Stroke Model at 21.1 T | |
| F. Andrew Bagdasarian1,2, Shannon Helsper1,2, Xuegang Yuan1,2, Jens T. Rosenberg1, 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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This study extends diffusion weighted imaging at 21.1-T to identify the pattern of potential recovery of apparent diffusion coefficient (ADC) in rodent ischemic stroke with novel stem cell therapy using dissociated aggregate human mesenchymal stem cells (d-hMSC) from different donors. All scanning was performed at 21.1 T with the goal of quantitatively assessing treatment efficacy longitudinally, spanning a 3 weeks post ischemia. Results show donor resultant ADC discrepancies at various time points and regions. |
| 1921 | Long-term Structural Brain Changes in Adult Rats After Focal Ischemic Stroke | |
| Warda Syeda1,2,3, Charlotte Ermine1, David Wright4, Vanessa Brait1, Lachlan Thompson1, Jess Nithianantharajah1, Scott Kolbe4, Leigh Johnston1,2, and Amy Brodtmann1 | ||
1The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2The Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melborne, Australia, 3Melbourne Neuropsychiatry Centre, The University of Melbourne, Melborne, Australia, 4Department of Neuroscience, Monash University, Melbourne, Australia |
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Accumulating clinical evidence suggests remote neurodegeneration occurs in non-ischemic brain regions distant to the site of infarction in stroke, driven by both axonal degeneration and global brain inflammation. Prior preclinical studies of remote degeneration have mainly focused on brain changes over a few days or weeks post-stroke. We investigated long-term structural brain changes in an endothelin-1 model of mild focal ischemic stroke in rats, using a clinically relevant period of 48-weeks. Serial structural and diffusion-weighted MRI data were used to assess dynamic volume and white matter trajectories. We found significant cortical atrophy and white matter alterations, suggesting widespread stroke-related degenerations. |
| 1922 | Machine-Learning-Based Segmentation of Ischemic Penumbra By Using Diffusion Tensor Metrics in a Rat Model | |
| Cheng-Yu Chen1,2,3,4, Po-Chih Kuo5, Yung-Chieh Chen1, Yu-Chieh Jill Kao2, Ching-Yen Lee6, Hsiao-Wen Chung7, and Duen-Pang Kuo1 | ||
1Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan, 2Translational Imaging Research Center, Taipei, Taiwan, 3Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, 4Radiogenomic Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 5Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, 6TMU Research Center for Artifical Intelligence in Medicine, Taipei, Taiwan, 7Graduate Institute of Biomedical Electrics and Bioinformatics, National Taiwan University, Taipei, Taiwan |
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In the present study, we developed a 2-level classification model with an overall accuracy of 88.1 ± 6.7% for discriminating the stroke hemisphere into the infarct core (IC), ischemic penumbra (IP), and normal tissue regions on a voxel-wise basis in a permanent left middle cerebral artery occlusion model. According to the analysis results, we suggest that a single diffusion tensor imaging (DTI) sequence combined with machine learning (ML) algorithms can dichotomize ischemic tissue into the IC and IP, which are comparable to the conventional perfusion–diffusion mismatch. |
| 1923 | Macromolecular proton fraction as a marker of myelin recovery in ischemic stroke | |
| Marina Khodanovich1, Ilya Gubskiy 2, Darya Namestnikova 2, Marina Kudabaeva1, Valentina Glazacheva1, Tatyana Anan'ina1, and Vasily Yarnykh1,3 | ||
1Tomsk State University, Tomsk, Russian Federation, 2Pirogov Russian National Research Medical University, Moscow, Russian Federation, 3University of Washington, Seattle, WA, United States |
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The study, performed on a rat model of ischemic stroke, aimed to evaluate a recently proposed myelin biomarker, macromolecular proton fraction (MPF) as a non-invasive tool for monitoring recovery after stroke. Longitudinal observations showed the different time courses of MPF evolution in the infarct zones undergoing subsequent demyelination (DZ) or remyelination (RZ). After a sharp decrease at days 1-5 after MCAO, MPF showed a further decline in the DZ and a restoration in the RZ to day 56. These findings were confirmed by histology which showed similar tissue evolution zones and enhancement of neurogenesis and oligodendrogenesis in the ischemic core. |
| 1924 | Remote ischemic conditioning in a rat model of acute ischemic stroke: a two-centre study with translational longitudinal MRI | |
| Marlene Wiart1, Maryna Basalay2, Fabien Chauveau3, Chloe Dumot1, Christelle Leon1, Camille Amaz4, Radu Bolbos5, Diana Cash6, Eugene Kim6, Tae-Hee Cho7, Norbert Nighoghossian7, Sean Davidson2, Michel Ovize1, and Derek Yellon2 | ||
1Université Lyon, CarMeN laboratory, Inserm U1060, Lyon, France, 2The Hatter Cardiovascular Institute, London, United Kingdom, 3Université Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Lyon, France, 4Clinical Investigation Center, HCL, Lyon, France, 5CERMEP-Imagerie du Vivant, Bron, France, 6Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom, 7Stroke Medicine, Université Lyon, CREATIS CNRS UMR 5220-INSERM U1206, Lyon, France |
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The main objective of this study was to test the neuroprotective effects of remote ischemic conditioning (RIC: 4 cycles of 5-min hind limb ischemia interleaved with 5-min reperfusion) in a rat model of transient ischemic stroke (90 minutes) in a two-center study using translational MR imaging endpoints. Neuroscores and edema-corrected infarct size measured at 24h on T2-weighted MRI and expressed as percentage of the area at risk on per-occlusion MRI were significantly reduced in the RIC-treated group compared to the control group. The use of longitudinal MRI increases results robustness, which is greatly needed for successful RIC clinical translation. |
| 1925 | Changes in Quantitative Magnetization Transfer MR in the Mouse Brain After Transient Cerebral Ischemia | |
| Grzegorz Kwiatkowski1, Georgios Louloudis1, Jan Klohs1, and Sebastian Kozerke2 | ||
1Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland, 2ETH Zurich, Zurich, Switzerland |
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Quantitative analysis of magnetization transfer (qMT) based on a two-pool model was employed to characterized changes in the mouse brain following a transient middle cerebral artery occlusion (tMCAO) model of cerebral ischemia.The changes in qMT were compared to the standard MR metrics of an ischemic lesion (T1, T2, ADC, FLAIR) to examine the possible overlap of mechanisms affecting these magnetic resonance imaging contrasts. Notable changes of all MR metrics were found in the brain of the tMCAO group while only the qMT analysis revealed significant alterations in the sham-operated animals. |
| 1926 | Functional Reorganization and Behavioral Recovery in Rats with Repetitive Closed-head Injury after Drug Treatment | |
| Yu-Chieh Jill Kao1,2,3, Chia-Feng Lu4, Bao-Yu Hsieh5, and Cheng-Yu Chen1,2,3,6 | ||
1Neuroscience Research Center, Taipei Medical University, Taipei, Taiwan, 2Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, 3Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, Taiwan, 4Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 5Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 6Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan |
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Significant improvement of locomotor activity and anxiety-like behavior along with reorganization of motor and default mode network was observed after NAC or NAC plus MINO treatment after repetitive closed-head injury, suggesting tentative treatment using drugs in patients with repetitive mild traumatic brain injury. |
| 1927 | Highly specific and direct assessment of microscopic anisotropy following traumatic brain injury using diffusion correlation imaging (DCI) | |
| Dan Benjamini1,2, Michal Komlosh1,2, Elizabeth Hutchinson3, and Peter Basser1 | ||
1National Institutes of Health, Bethesda, MD, United States, 2Uniformed Service University of the Health Sciences, Bethesda, MD, United States, 3The University of Arizona, Tucson, AZ, United States |
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Diffusion MRI techniques that extend beyond diffusion tensor imaging (DTI) – including double diffusion encoding (DDE) – could provide more specific tools to probe abnormalities in disease or injury states. Here, DDE is applied to reveal the diffusion correlation spectrum on a voxelwise basis, which allows to directly assess the microscopic anisotropy in healthy and injured ferret spinal cords. |
| 1928 | Imaging Changes in Blood Brain Barrier Permeability Following Repetitive Mild Traumatic Brain Injury. | |
| Praveen Kulkarni1, Ju Qiao2, and Craig Ferris1 | ||
1Psychology, Northeastern University, Boston, MA, United States, 2A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States |
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Failure in the blood brain barrier (BBB) lies at the foundation of small vessel disease that is precursor to neurodegenerative diseases. There are multiple risk factors leading to increased permeability in the BBB; one prevalent risk factor is repetitive mild TBI. Imaging the subtle changes in BBB permeability is not possible with standard imaging protocols. With quantitative ultra-short time-to-echo, contrast-enhanced (QUTE-CE) MRI, using the superparamagnetic iron oxide nanoparticle ferumoxytol, we can image changes in BBB permeability following rmTBI. With this novel methodology we can measure the immediate effects of rmTBI on changes in BBB permeability across the entire rat brain. |
| 1929 | Diffusion tensor imaging reveals persistent microstructural alterations up to six month in an open-head traumatic brain injury | |
| Abdalla Z Mohamed1 and Fatima Abdalla Nasrallah1 | ||
1Queensland Brain institute, The University of Queensland, Brisbane, Australia |
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Traumatic brain injury (TBI) is a severe problem worldwide. The non-invasive investigation of the microstructural alterations is of significant benefit for early diagnosis and interventions. In this study, we applied diffusion tensor imaging (DTI) to monitor the longitudinal microstructural changes in a controlled cortical impact rodent model of TBI from 2 hours and up to 6 months post-injury. Using DTI, we observe ongoing white matter changes following TBI, that initiate in corpus callosum and injury location at early timepoints and persists to exist up to 6 months, suggesting the temporal sensitivity of DTI to detect ongoing microstructural changes following TBI. |
| 1930
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Longitudinal Study of Resting State Connectivity in a Rat Model of Alcohol Use Disorder at Ultrahigh Fields | |
| Hannes M. Wiesner1, Wei Zhu1, Yi Zhang1, Manuel Esguerra2, Colleen Hutchison2, Mark J. Thomas2, Xiao-Hong Zhu1, and Wei Chen1 | ||
1Department of Radiology, CMRR, University of Minnesota Medical School, Minneapolis, MN, United States, 2Departments of Neuroscience and Psychology, University of Minnesota, Minneapolis, MN, United States |
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Resting state fMRI (rs-fMRI) has been used to investigate alcohol use disorder (AUD), mostly in humans; and a wide array of commonly induced neurological changes due to acute and chronic use have been reported. In this work, we established a rat model of AUD to longitudinally study the effects of chronic alcohol abuse on the functional brain connectivity using rs-fMRI at ultrahigh fields. Preliminary results revealed potential changes in reward-processing circuit connectivity and global brain activity. Further research is advised to quantify early effects observed in and between different neural structures (NAc/IBST/PreL/IL and ACC) during withdrawal stress and relapse. |
| 1931 | Simple diffusion delivery via brain interstitial route for the treatment of cerebral ischemia | |
| Yu Song1,2, Hongbin Han2,3,4, Qingwei Song1, Yajuan Gao2,3,4, Rui Wang2,3,4, Xianjie Cai2,3,4, Yumeng Cheng2,3,4, and Zeqing Tang2,3,4 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Key Laboratory of Magnetic Resonance Imaging Equipment and Technique, Beijing, China, 3Department of Radiology, Peking University Third Hospital, Beijing, China, 4Institute of Medical Technology（IMT）of Peking University Health Science Center（PKUHSC）, Beijing, China |
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Delivering pharmacologic agents directly into the brain has been proposed as a means of bypassing the blood brain barrier. Within this study we propose a novel system for delivering drugs into the brain named the simple diffusion (SDD) system. To validate this technique, rats were subjected to a sin- gle intracranial (at the caudate nucleus), or intraperitoneal injection, of the compound citicoline, followed two hours later by a permanent middle cerebral artery occlusion (pMCAO). These results suggest that given the appropriate injection point, through SDD a pharmacologically effective concentration of citicoline can be administered. |
| 1932 | White Matter Microstructural Changes in an Absence Epilepsy Mouse Model | |
| Gustavo Chau Loo Kung1, Juliet Knowles2, Erpeng Dai3, John Huguenard2, Michelle Monje2, and Jennifer McNab3 | ||
1Bioengineering Department, Stanford University, Stanford, CA, United States, 2Neurology Department, Stanford University, Stanford, CA, United States, 3Radiology Department, Stanford University, Stanford, CA, United States |
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A previously unexplored possibility is that maladaptive myelination may contribute to both the predisposition to seizures and cognitive impairment in diseases such as absence epilepsy. This work presents MRI white matter microstructural measurements in ex vivo mouse brains from the Scn8amed+/- model of absence epilepsy. We obtained estimates of fractional anisotropy, myelin volume fraction and g-ratio. Our results are suggestive of thicker myelin sheaths, which is consistent with g-ratio data obtained by electron microscopy. We look to expand the current analysis to perform longitudinal measurements of the evolution of this particular type of epilepsy and its interplay with aberrant myelination. |
| 1933 | Chemical Exchange Saturation Transfer MRI of Disease-Associated Lymph Nodes in a Mouse Model of Multiple Sclerosis | |
| Aline M. Thomas1,2, Peter A. Calabresi3,4, Michael T. McMahon1,5, Peter C.M. van Zijl1,5, and Jeff W.M. Bulte1,2 | ||
1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Institute for Cell Engineering, Imaging Section and Vascular Biology Program, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Department of Radiology, Kennedy Krieger Institute, Baltimore, MD, United States |
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In multiple sclerosis (MS), immune cells damage the brain and spinal cord, often causing irreversible disability. Current imaging strategies visualize the resulting damage, but the heterogeneity of the damage observed complicates image interpretation. Evidence has emerged that the immunological attacks in MS are initiated in central nervous system-draining lymph nodes. Here, we demonstrate the potential of chemical exchange saturation transfer (CEST) MRI to monitor changes in these lymph nodes as disability progressed in a mouse model of experimental autoimmune encephalomyelitis. |
| 1934 | Association of white matter deficits with cerebral blood flow in cerebral hypoperfusion mouse model as revealed by in-vivo multi-modal MRI | |
| Fangrong Zong1, Yan Zhuo2,3, Chengya Dong4, Baoshan Qiu4, Shunyin Zhao4, Baogui Zhang5, Yilong Wang4, and Xiangrong Liu4 | ||
1Centre for Advanced Magnetic Resonance Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3The Innovation Center of Excellence on Brain Science, Chinese Academy of Sciences, Beijing, China, 4China National Clinical Research Center for Neurological Diseases, Beijing, China, Beijing, China, 5Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China |
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The underlying mechanism of vascular dementia remains unclear which leads to difficulties in developing specific disease treatments. This contribution firstly developed a multi-modal MRI approach on a mouse model with unilateral carotid artery stenosis as non-invasive measures. A positive correlation was built between fractional anisotropy and cerebral blood flow under hypoperfusion conditions, which provides insights into understanding the pathological mechanism of vascular dementia. |
| 1935 | Functioning of the glucose transporter and glymphatic systems in the tauopathy AD mouse brain studied by onVDMP MRI and D-glucose infusion | |
| Lin Chen1,2, Zhiliang Wei1,2, Kannie W.Y. Chan1,2,3, Jianpan Huang4, Xiang Xu1,2, Philip C. Wong5,6, Hanzhang Lu1,2, Peter C.M. van Zijl1,2, Tong Li5,6, and Jiadi Xu1,2 | ||
1Department 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 Research Institute, Baltimore, MD, United States, 3Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 4City University of Hong Kong, Hong Kong, China, 5Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 6Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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In this study, we used onVDMP MRI to detect glucose uptake in tauopathy Alzheimer's disease (AD) mouse brain. Compared to wild-type mice, significantly reduced glucose uptake was observed in both cerebrospinal fluid (CSF) and parenchyma of AD mouse brain. Clearance of glucose through CSF was found in wild-type mice, but not in AD mice, which implicates dysfunction of the glymphatic system in AD mouse brain. The results in this study suggest that onVDMP MRI could be a cost-effective and widely available method for evaluating the functions of glucose transporter and glymphatic system, and hence diagnosing AD. |
| 1936
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Longitudinal brain connectome reorganization in a tauopathy mouse model of Alzheimer's disease | |
| Laetitia Degiorgis1, Marion Sourty1,2, Julien Lamy1, Vincent Noblet1, Meltem Karatas1,3,4, Thomas Bienert4, Marco Reisert4, Anne-Laurence Boutillier5, Jean-Paul Armspach1, Frédéric Blanc1,6, and Laura Harsan1,7 | ||
1University of Strasbourg and CNRS, ICube Laboratory UMR 7357, Strasbourg, France, 2The University of Sydney, Faculty of Engineering, School of Aerospace, Mechanical and Mechatronic Engineering, Sydney, Australia, 3CNRS, University of Strasbourg, INCI, UMR 7168, Strasbourg, France, 4Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 5Laboratoire de Neuroscience Cognitives et Adaptatives, Strasbourg, France, 6University Hospital of Strasbourg, CM2R (Memory Resource and Research Centre), Day Hospital, Geriatrics Department, Strasbourg, France, 7Department of Biophysics and Nuclear Medicine, University Hospital of Strasbourg, Strasbourg, France |
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MRI is a unique tool to understand the complexity of the brain functional and structural communication evolution over time. Among the main mechanisms of AD, tauopathy remains poorly studied in preclinical imaging. We used graph theory approaches and DTI analysis in a longitudinal study of Thy-Tau22 mice, associated with behavioral evaluation. Alterations of the cholinergic septal circuitry, supporting memory and emotional processes, were found as the main hallmark of the progression of the pathology, associated with default mode network dysfunction, both starting before the first memory deficits. |
| 1937 | Optogenetic modulation and rsfMRI mapping of depression related functional brain networks in the mouse | |
| Laura-Adela Harsan1, Laetitia Degiorgis1, Julien Todeschi2, Lea Becker3, Maxence Thomas de la Pintière1, Victor Mathis3, Chrystelle Po1, and Ipek Yalcin3 | ||
1ICube: Engineering science, computer science and imaging laboratory, University of Strasbourg, Strasbourg, France, 2ICube: Engineering science, computer science and imaging laboratory, Neurosurgery Department, University Hospital Strasbourg, University of Strasbourg, Strasbourg, France, 3Institute de Neurosciences Cellulaires et Intégratives, University of Strasbourg-CNRS, Strasbourg, France |
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The main objective of this study is to modulate and map the anterior cyngulate cortex (ACC) functional connectivity (FC) pathways underlying depression development in a mouse model. We use the optogenetic approaches to create the depression phenotype in mice, by activating the pyramidal ACC neurons expressing Channel rhodopsin 2 (ChR). We further use resting state functional MRI (rsfMRI) as non-invasive read-out of the effects at the level of functional brain connectivity. Four consecutive sessions of optogenetic ACC stimulation induced strong depression phenotype and major modifications of the functional mouse brain connectivity including perturbed mesocorticolimbic pathways and default mode network patterns |
| 1938 | Temporal alterations of GluCEST contrast in a rat model of cuprizone-induced demyelination and remyelination | |
| Do-Wan Lee1, Chul-Woong Woo2, Hwon Heo3, Jae-Im Kwon2, Yeon Ji Chae3, Su Jung Ham4, Jeong Kon Kim1, Kyung Won Kim1,4, Dong-Cheol Woo2,3, and Dong-Hoon Lee5 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea, 2Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea, 3Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea, 4Asan Image Research, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea, 5Faculty of Health Sciences and Brain & Mind Centre, The University of Sydney, Sydney, Australia |
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Research on changes to glutamate signaling in the white matter of demyelinating diseases may provide important biophysical information for diagnostic and prognostic assessment. We attempted to evaluate glutamate signals in a cuprizone-induced rat model of demyelination by GluCEST imaging. GluCEST imaging provides in vivo image contrast of changing glutamate concentrations during demyelination and subsequent remyelination. We also performed histological validation to analyze the state of myelinated axons. GluCEST imaging could be a useful tool to evaluate brain metabolism in demyelination and remyelination models and provide quantitative results that are highly representative of changes to glutamate levels in vivo. |
| 1939 | MR elastography and DTI for monitoring microstructural changes in the developing brain of Poly (I:C)-induced maternal immune activated rats. | |
| Lucy Liu1,2, Andre Bongers2, Lynne Bilston1,2, and Lauriane Jugé1,2 | ||
1Neuroscience Research Australia, Sydney, Australia, 2University of New South Wales, Sydney, Australia |
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Maternal infection during pregnancy can cause enlarged ventricles and compromise brain microstructure, which conventional imaging techniques cannot identify. We investigated the potential of magnetic resonance elastography (MRE) and diffusion tensor imaging (DTI) in detecting brain microstructural changes in offspring of Poly (I:C)-induced maternal immune activated rats. Results showed that DTI and MRE were sensitive to neurodevelopmental microstructural changes, but not to subtle longitudinal microstructural changes related to maternal infection. DTI showed that white matter injury differs between perinatal and adolescent Poly(I:C) rats, while MRE was not sensitive enough to detect subtle compromise of gray matter microstructure in Poly (I:C) rats. |
| 1940 | High Resolution Volumetric and Connectomic Analyses in a Mouse Model of CNS Lupus | |
| Talaignair N Venkatraman1, Haichen Wang2, Chris Petty1, Allen W Song1, and Christopher D Lascola1 | ||
1Radiology, Duke University Medical Center, Durham, NC, United States, 2Neurology, Duke University Medical Center, Durham, NC, United States |
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Ex-Vivo high resolution (3D) volumetric, tractographic and connectomic analysis carried out on a mouse model of CNS Lupus at 7T. The results show strong therapeutic effect of a novel QR II inhibitor. |
| 1941 | MRI assessment of vascular disruption in tau pathology animal model (rTg4510 mouse) of Alzheimer disease | |
| Kwangyeol Baek1, Rachel Bennett2, Bradley Hyman2, Woo Hyun Shim3, and Young Ro Kim4,5 | ||
1School of Biomedical Convergence Engineering, Pusan National University, Busan, Republic of Korea, 2Department of Neurology, Massachusetts General Hospital and Harvard Medical School,, Boston, MA, United States, 3Department of Radiology, Asan Medical Center, Seoul, Korea, Republic of, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 5Department of Radiology, Harvard Medical School, Boston, MA, United States |
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We assessed vascular disruption in rTg4510 mouse (age of 6 and 9 months), a tau expressing transgenic animal model of Alzheimer’s disease, using MRI metrics such as vessel size index (VSI), Gd-DTPA leakge through BBB and water exchange index (WEI). The rTg4510 mice showed age-dependent expansion of the hippocampal lesion and profound vascular alteration around the hippocampal lesion: Increase in VSI, mild Gd-DTPA leakage and increased WEI. Our findings suggest the role of vascular components in development of Alzheimer’s disease with tau pathology. Vascular MRI assessments might have a potential application in early diagnosis and monitoring of Alzheimer’s disease. |
| 1942 | Neurite orientation dispersion and density imaging of rat brain microstructural changes due to middle cerebral artery occlusion at a 3T MRI | |
| Zhenxiong Wang1,2, Wenzhen Zhu1, Shun Zhang1, Guiling Zhang1, Mehran Shaghaghi2, and Kejia Cai2 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Departments of Radiology, Department of Bioengineering, and the Center for MR Research, Chicago, IL, United States |
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In this study we demonstrated the feasibility of longitudinal neurite orientation dispersion and density imaging (NODDI) in characterizing the microstructural alterations in rat brain tissues due to middle cerebral artery occlusion at a 3T MRI and validated the NODDI parameters with histology. |
| 1943 | Cerebral metabolic rate at three hours post injury predicts 24-hour neurological outcome in a rat model of cardiac arrest | |
| Zhiliang Wei1,2, Qihong Wang3, Sung-Min Cho4, Romergryko Geocadin4, Hiren R. Modi3, Nitish V. Thakor3, and Hanzhang Lu1,2,3 | ||
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 Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Cardiac arrest (CA) is associated with low survival rate and unfavorable outcomes despite maximal medical care. For determining the timing of acute brain injury and delivering aggressive intervention at early stage to improve neurologic outcomes, an early-stage biomarker is compulsory. Here, we utilized MRI techniques to reveal the temporal trajectories of brain’s blood supply, oxygenation, and energy consumption in the first few hours following return-of-spontaneous-circulation, and found early physiologic measure is associated with 24-h neurologic deficit score. This finding may potentially facilitate the future research on CA management by providing a sensitive physiologic biomarker to determine appropriate medical intervention. |
| 1944 | Early postoperative cerebral perfusion changes after direct revascularization surgery in moyamoya disease based on perfusion territory study | |
| Jing Yuan1, Zhizheng Zhuo1, Bing Wu2, and Yaou Liu1 | ||
1Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2GE Healthcare, China, Beijing, China |
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Early postoperative cerebral perfusion changes after direct revascularization surgery in moyamoya disease were studied. The preoperative and postoperative perfusion parameters from ASL and CT perfusion studied were compared based on perfusion territory showed by ssASL technique. Two types of perfusion changes were found, group I represented perfusion territory redistribution and group II represented perfusion improvement. |
| 1945 | Cellular correlates of gray matter volume changes identified with two-photon microscopy and magnetic resonance morphometry in the mouse brain | |
| Claudia Falfán-Melgoza1, Livia Asan2, Johannes Knabbe2, Carlo Beretta2,3, Thomas Kuner2, and Wolfgang Weber-Fahr1 | ||
1RG Translational Imaging, Central Institute of Mental Heath, Mannheim, Germany, 2Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University, Heidelberg, Germany, 3CellNetworks Math-Clinic, Bioquant BQ001, Heidelberg University, Heidelberg, Germany |
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Insights gained from Voxel Based morphometry (VBM) tremendously advance the understanding of neurologic and psychiatric diseases. However, the cellular basis of VBM changes remains largely unclear. We used longitudinal two-photon fluorescence and magnetic resonance imaging in mice to explore the cellular basis of VBM. Our data shows that MRI volume changes are only limited reflected by physical volume changes, yet dominated by cellular composition and cytoarchitectural characteristics. This has great implications for findings in neuroimaging in general, and the novel approach introduced by this study can be applied to various disease models to potentially unravel key mechanisms of brain pathophysiology. |
| 1946 | In-vivo measurements of physiological optics of mouse crystallin lens using MRI | |
| Xingzheng Pan1, Eric R. Muir2, Paul J. Donaldson1,3, Ehsan Vaghefi1, Zhao Jiang2, Caterina Sellitto4, and Thomas W. White4 | ||
1School of Optometry and Vision Science, University of Auckland, Auckland, New Zealand, 2Department of Radiology, School of Medicine, Stony Brook University, Stony Brook, NY, United States, 3Department of Physiology, School of Medical Sciences, University of Auckland, Auckland, New Zealand, 4Department of Physiology & Biophysics, School of Medicine, Stony Brook University, Stony Brook, NY, United States |
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The physiological optics of the crystallin lens depend on its water content, water-bound protein ratios and surface geometry1,2. To maintain these properties, the lens generate a circulating flux of ions that actively removes water from the lens center via an intracellular pathway mediated by gap junction channels3. In this study, we established and optimised T1&T2 mapping and structural scan to study the physiological optics the mouse lens at 7T. These protocols were then applied to a transgenic mouse model in which we have genetically modified the number of gap junction channels to alter the removal of water from the lens. |
| 1947 | Implementation and optimization of steady state free precession MRI for mapping BBB leakage in mouse brain at 9.4T | |
| Frederick C. Damen1, Steve Zaldua2, Jin Gao3, Weiguo Li3, Leon Tai2, and Kejia Cai1 | ||
1Radiology, University of Illinois at Chicago, CHICAGO, IL, United States, 2Anatomy and Cell Biology, University of Illinois at Chicago, CHICAGO, IL, United States, 3Research Resources Center, University of Illinois at Chicago, CHICAGO, IL, United States |
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In neurodegenerative diseases, e.g., Alzheimer’s disease, it is important to study cerebral blood flow (CBF) and blood brain barrier (BBB) permeability. Arterial Spin Labeling (ASL), used to measure CBF, is hampered by physiological variability, requiring many averages, and thus, fast imaging. Echo Planner Imaging, the most used fast imaging method, suffers from massive distortions and blurring for mice brain imaging at high field MRI. Alternatively, in this study we successfully implemented steady state free precession fast imaging for the measurement of the BBB leakage in mouse brain at 9.4T. |
| 1948 | Quantitative in vivo 19F MRI of mouse brain inflammation using a cryogenic RF surface probe and RARE | |
| Paula Ramos Delgado1, Christian Prinz1, Jason M. Millward1, Helmar Waiczies2, Ludger Starke1, Joao Periquito1, Laura Boehmert1, Thoralf Niendorf1,3, Andreas Pohlmann1, and Sonia Waiczies1 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2MRI.tools GmbH, Berlin, Germany, 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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The low SNR inherent to fluorine (19F) MRI necessitates sensitivity-enhancing methods. SNR-efficient imaging techniques such as RARE and SNR-enhancing cryogenically-cooled RF coils (CRP) create new challenges. The strong spatially-varying B1 fields of transceive surface RF coils hamper quantification and no analytical signal intensity equation for B1+ correction exists for RARE. We developed a B1 correction method that makes use of experimental data to model the signal intensity from RARE and we established a workflow to correct and quantify 19F MR signals originating from inflammatory regions of the mouse brain that were acquired using a 19F-CRP. |
| 1949 | Effects of anesthetic conditions on the mouse cerebral oxygen saturation measured by QSM | |
| Jérémie P. Fouquet1, Luc Tremblay1, Andreas Deistung2, Renat Sibgatulin3, Martin Krämer3, Karl-Heinz Herrmann3, Réjean Lebel1, Jürgen R. Reichenbach3, and Martin Lepage1 | ||
1Sherbrooke Molecular Imaging Center (CIMS), Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada, 2Faculty of Medicine, Universitätsklinikum Halle, Halle, Germany, 3Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany |
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Anesthetic conditions may have important effects on the blood oxygen saturation in rodents. However, the size of those effects has not been directly quantified in the mouse brain. We use Quantitative Susceptibility Mapping to provide a direct estimate of the oxygen saturation in the mouse brain under anesthesia. Three commonly used anesthetics, namely isoflurane, dexmedetomidine, and ketamine-xylazine, are evaluated. The effect of breathing gas is also evaluated. |
| 1950 | Effect of anesthetics on spontaneous neural activity and functional connectivity in the bilateral somatosensory cortices in rats | |
| Kwangyeol Baek1, Chae Ri Park2, Siwan Jang3, Woo Hyun Shim2, and Young Ro Kim1 | ||
1Massachusetts General Hospital, Boston, MA, United States, 2Asan Medical Center, Seoul, Korea, Republic of, 3Portsmouth Abbey School, Portsmouth, RI, United States |
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Resting state fMRI study in animal model often involved use of anesthetics, but the effect of anesthetics on the spontaneous neural activity is not well known. We investigated how different types and doses of anesthetics (isoflurane and α-chloralose) influence the LFP activity and functional connectivity in comparison with the awake state. We observed distinct effects of these anesthetics on spontaneous neural activity (e.g. burst-suppression pattern and nonspecific correlation for high dose of isoflurane) and evoked response (e.g. potentified sensory-evoked response in bilateral cortices with α-chloralose). The effect of anesthetics should be taken into account in animal resting state fMRI studies. |
| 1951 | A Whole-Brain Map and Assay Parameter Analysisof Mouse VTA Dopaminergic Activation | |
| Horea-Ioan Ioanas1, Bechara John Saab2, and Markus Rudin1 | ||
1Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland, 2Preclinical Laboratory for Translational Research into Affective Disorder, University of Zurich Psychiatric Hospital, Zurich, Switzerland |
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The definition of neurophenotypes for the function of key neurotransmitter systems is vital to the improvement of drug development in psychopharmacology. In this study we present a whole-brain map of stimulus-evoked VTA dopaminergic function in mice, alongside a parameter analysis for this novel assay. This study shows overall coherence between functional and known structural connectivity, but provides additional evidence for functional connectivity towards the dorsal striatum (first indicated in the rat model). We propose that this thoroughly explored new assay can provide an invaluable read-out for dopaminergic dysfunction and dopaminergic intervention modelling. |
| 1952 | Aryl hydrocarbon receptor antagonism before reperfusion attenuates cerebral ischemia/reperfusion injury in rats | |
| Jae-Im Kwon1, Hwon Heo2, Sang Tae Kim1, Su Jeong Ham1, Yeon Ji Chae1, Young Jin Kim1, Do-Wan Lee2, Kyung Won Kim3, Dong Cheol Woo1,2, and Chul-Woong Woo1 | ||
1Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea, Republic of, 2Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea, Republic of, 3Radiology, Asan Medical Center, Seoul, Korea, Republic of |
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Emerging evidence suggests that aryl hydrocarbon receptor (AhR) antagonism could attenuate neuronal damage caused by transient ischemic stroke. However, the optimal timing of AhR antagonist administration for maximum neuroprotective efficacy has yet to be established. The present study explored this issue via MRIs in rats with transient ischemic stroke and demonstrated that infarct volume and apoptosis were alleviated in rats that received AhR antagonists 10 or 50 minutes after ischemia. In addition, the timing of AhR antagonist administration was shown to affect edema formation caused by transient ischemic stroke. |
| 1953 | Stimulation of basal forebrain cholinergic neurons induces decreased functional connectivity in the default mode-like network in rats | |
| Lore M. Peeters1, Monica Van den Berg1, Rukun Hinz1, and Georgios A. Keliris1 | ||
1Bio-Imaging Lab, University of Antwerp, Antwerp, Belgium |
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Understanding the role of the basal forebrain (BFB) in controlling the dynamics of brain processes is of great interest. We aimed to investigate the influence of selective unilateral stimulation of BFB cholinergic neurons on functional connectivity (FC) in the rodent default-mode like network (DMLN). By combining resting-state functional MRI (rsfMRI) with chemogenetics, we demonstrate that stimulation of the cholinergic neurons in the right BFB significantly decreased right intra-hemispheric and inter-hemispheric FC in the DMLN in rats. These findings provide new critical insights into the interplay between attentional networks and DMLN in rodents. |
| 1954 | Chemogenetic neuromodulation of striato-cortical direct pathway projections cause alterations in brain-wide network connectivity | |
| Marija Markicevic1, Oliver Sturman 2, Johannes Bohacek2, Markus Rudin3,4, Nicole Wenderoth1, and Valerio Zerbi1 | ||
1Neural Control of Movement lab, DHEST, ETH Zurich, Zurich, Switzerland, 2Laboratory of Molecular and Behavioural Neuroscience, DHEST, ETH Zurich, Zurich, Switzerland, 3Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 4Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland |
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RsfMRI is used to investigate healthy and diseased brains via temporal correlations of distinct brain regions i.e. functional connectivity (FC). However, this gives little insight into the contribution of specific cell-types to the recorded signals. To tackle this, we measured rsfMRI in mice while chemogenetically exciting or inhibiting D1 expressing cells in dorsomedial striatum (dmCP) via DREADDs. Initial results illustrate opposing effects of excitation and inhibition on FC, observed only within anatomically connected nodes of corticostriatal circuitry. These results are the first, necessary step for further disentangling the role of dmCP on motor control and behavior. |
| 1955 | In vivo detection of neuroinflammation in rats using Manganese-Enhanced MRI (MEMRI) | |
| Satoshi Fujiwara1, Sosuke Yoshinaga1, Shigeto Iwamoto1, Sayaka Shibata2, Aiko Sekita2, Nobuhiro Nitta2, Tsuneo Saga2, Ichio Aoki2, and Hiroaki Terasawa1 | ||
1Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan, 2Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan |
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Neuroinflammation is initiated by many types of neural disorders as a defensive response of the innate immune system in the central nervous system (CNS). Neuroinflammation is typically accompanied by the disruption of Ca2+ homeostasis. Manganese chloride (MnCl2) is a useful positive MRI contrast agent that enters activated cells through Ca2+ channels, and is utilized in Manganese-Enhanced MRI (MEMRI) for functional neuroimaging. We sought to determine whether MEMRI could be used to assess the cellular/molecular alterations caused by acute neuroinflammation in vivo, by focusing on Mn2+ accumulation in the rodent brain. |
| 1956 | Regional Mapping of Glutamate Distributions in a Healthy Rat Brain Using Glutamate Chemical Exchange Saturation Transfer (GluCEST) MRI | |
| Do-Wan Lee1, Hwon Heo2, Chul-Woong Woo3, Jae-Im Kwon3, Su Jung Ham4, Yeon Ji Chae2, Kyung Won Kim1,4, Jeong Kon Kim1, Dong-Cheol Woo2,3, and Dong-Hoon Lee5 | ||
1Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea, 2Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea, 3Convergence Medicine Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea, 4Asan Image Research, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea, 5Faculty of Health Sciences and Brain & Mind Centre, The University of Sydney, Sydney, Australia |
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Detecting glutamate signals in vivo within the brain may have a diagnostic potential. Recently, with many translational research efforts leading to clinical trials, presenting the normal in vivo glutamate distribution in pre-clinical data to establish a database for pre-clinical studies can be valuable. In this abstract, we investigated glutamate signal distributions in multiple brain regions of a healthy rat brain using GluCEST imaging. Quantified GluCEST signals showed significant differences between white and gray matter regions. Our findings and investigations yield a valuable database and insights for comparing glutamate signal changes in pre-clinical brain diseases. |
| 1957 | Training intensity induced differential functional networks in rodent | |
| Zengmin Li1, Hsu-Lei Lee1,2, Elizabeth Coulson1,3, Pankaj Sah1, Patricio Opazo1, and Kai-Hsiang Chuang1,2 | ||
1Queensland Brain Institute, The University of Queensland, St Lucia, Australia, 2Centre for Advance Imaging, The University of Queensland, St Lucia, Australia, 3School of Biomedical Sciences, The University of Queensland, St Lucia, Australia |
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· After spatial learning, large-scale plasticity in functional networks were detected in mice using resting-state fMRI. · Different training intensity recruited different functional networks. · Functional connectivity reorganized to be less hippocampus dependent after 1 week of consolidation. |
| 1958 | Quantitative MRI Volumetric Analysis of Rodent Brains as a Function of Age | |
| Loi Do1, Adam Scott Bernstein1, Pradyumna Bharadwaj2, Chidi Ugonna1, Marc A Zempare2, Nan-kuei Chen1, Gene E Alexander2, Carol A Barnes2, and Theodore Trouard1 | ||
1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Psychology, University of Arizona, Tucson, AZ, United States |
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High resolution 3D-RARE magnetic resonance imaging (MRI) was carried out in the brain of rats (n=114) of varying ages and cognitive performance. Volumetric comparison of total intracranial volume (TIV) and total ventricular system (TVS) was performed using an atlas based analysis. The TIV increases from young adult to middle age but plateaus through old age. Average body weight increases from young adult to middle age but decreases from middle age to old age. No significant difference was found in TVS volume between ages or cognitive ability. |
| 1959 | Characterization of kinetic isotope effects and label loss in deuterium-based isotopic labeling studies. | |
| Robin A. de Graaf1, Monique A. Thomas1, Kevin L. Behar2, and Henk M. De Feyter1 | ||
1Dept. of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Dept. of Psychiatry, Yale University, New Haven, CT, United States |
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Deuterium metabolic imaging (DMI) is a novel, non-invasive method to map metabolism from deuterated substrates in 3D. The replacement of protons with deuterons could potentially lead to kinetic isotope effects (KIEs), and loss of deuterons. Knowledge of the KIE levels, and label losses is required for DMI-based measurements of absolute metabolic rates. Here the deuterium KIE and label loss is investigated for glucose and acetate in rat brain in vivo using a double substrate/double labeling strategy. Significant, but predictable and reproducible label losses were observed in the metabolic products lactate, glutamate and glutamine. The measured KIE was relatively small (4-6%). |
| 1960 | Improving T2 Sensitivity of Magnetic Resonance Fingerprinting for Simultaneous Quantification of Gadolinium and 17O-Water Concentration | |
| Yuning Gu1, Yong Chen2, Jesse I. Hamilton3, Kihwan Kim1, Ciro Ramos-Estebanez4, Chris A. Flask2, Nicole Seiberlich2,3, Charlie Androjna5, and Xin Yu1,2,6 | ||
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 4Department of Neurology, Case Western Reserve University, Cleveland, OH, United States, 5Cleveland Clinic Pre-Clinical Magnetic Resonance Imaging Center, Cleveland Clinic Foundation, Cleveland, OH, United States, 6Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States |
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Simultaneous quantification of intravenously injected Gadolinium (Gd) and 17O-water through T1 and T2 shortening effect enables evaluation of BBB permeability to large and small molecules under pathological conditions. Magnetic resonance fingerprinting allows fast and simultaneous T1 and T2 mapping, though improvement in T2 sensitivity is required for accurate quantification of 17O-water in brain. This study demonstrates that the combination of T2-preparation module and small flip angle improves the accuracy in T2 estimation in mouse brain. Further, the feasibility of using MRF method to quantify Gd and 17O-water concentration was explored in a phantom study. |
| 1961 | Disrupted integration of single-subject gray matter networks in suicidality of MDD | |
| Huiru Li1, Jing Yang1, Huawei Zhang1, Li Yin2, Qiyong Gong1,3, and Zhiyun Jia1,4 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China, 3Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), Chengdu, China, 4Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China, Chengdu, China |
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In this study, we explore suicidal brain of depression from the level of network connection to capture the complex connectivity alterations of gray matter networks that support higher cognitive and affective processes. We constructed single-subject morphological brain gray matter networks and small-world parameters (Cp, Lp, γ, λ and σ), network efficiency parameters (Eloc and Eglob) and nodal properties (nodal degree, efficiency and centrality). We found decreased σ/Eglob and increased Lp/λ in SU compared to PC and HC. In summary, suicidality involves complex neocortical network organization and showed a weaker integration compared PC and HC. |
| 1962 | A 3T magnetic resonance study of structural brain alterations in neuroticism | |
| Barbara Hrast1, Gašper Zupan1,2, Andrej Vovk1, and Dušan Šuput1 | ||
1Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia, 2Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia |
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This study investigated the association between alterations in cerebral morphology and neuroticism. Grey matter thickness, cortical area, and volume were calculated in 110 healthy right-handed subjects and correlations with neuroticism scores performed. Negative correlations between neuroticism and cortical area/volume and positive correlations between neuroticism and grey matter thickness were found in occipitotemporal regions. The importance of the ventral visual pathway in emotion processing has been highlighted by structural changes in the occipital and temporal lobe. Alterations in the prefrontal cortex also show the importance emotional control plays in neuroticism. This study provided an additional explanation of structural alterations in neuroticism. |
| 1963 | Structural Brain Deterioration in the Course of Schizophrenia | |
| Akiko Uematsu1,2, Hidenori Yamasue3, Kiyoto Kasai4, and Shinsuke Koike4,5 | ||
1Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan, 2RIKEN CBS, Saitama, Japan, 3Departmentof Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan, 4The University of Tokyo Hospital, Tokyo, Japan, 5Center for Evolutionary Cognitive Science, University of Tokyo, Tokyo, Japan |
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In this study, we examined structural brain deterioration in the course of schizophrenia with multi aspects by utilizing a variety of information derived from multi-contrast MRI data. Our findings suggested superior temporal gyrus is the key to understand the onset mechanism of Schizophrenia. |
| 1964 | Evaluation of white matter neuroinflammation in children with autism spectrum disorder using free-water imaging | |
| Wataru Uchida1,2, Koji Kamagata1, Eiji Kirino3,4, Christina Andica1, Yuya Saito1,2, Akifumi Hagiwara1, Toshiaki Akashi1, Akihiko Wada1, Syo Murata1, Masaaki Hori5, and Shigeki Aoki1 | ||
1Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Radiological Sciences, Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan, 3Psychiatry, Juntendo University Graduate School of Medicine, Tokyo, Japan, 4Radiology, Juntendo University Shizuoka Hospital, Shizuoka, Japan, 5Radiology, Toho University Omori Medical Center, Tokyo, Japan |
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We investigated the differences in white matter pathology between children with autism spectrum disorder (ASD) and typically developing children using single-tensor diffusion tensor imaging (DTI) and bi-tensor free-water (FW) imaging. Tract-based spatial statistics analysis demonstrated significantly increased FW volume fraction in children with ASD compared with that in typically developing children. Increased FW volume fraction may reflect neuroinflammation in children with ASD as a result of inflammatory cytokine accumulation in the white matter. Furthermore, we showed that FW imaging is more sensitive and specific than single-tensor DTI in the evaluation of white matter in children with ASD. |
| 1965 | Brain alternations after smoking cessation: An arterial spin labeling study | |
| Guan-Jie Wang1, Chun-Ming Chen2, and Shin-Lei Peng1 | ||
1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, 2Department of Radiology, China Medical University Hospital, Taichung, Taiwan |
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Although the unfavourable effects of cigarette smoking on the brain have been demonstrated in current smokers, it is unclear whether the neurotoxic effects of smoking on the brain are permanent or reversible after smoking cessation. Our results showed that ex-smokers had a decreased CBF when compared to never-smokers, especially in the posterior cingulate cortex (PCC). The present findings may explain in part the frequently reported cognitive dysfunctions in ex-smokers. However, the affected brain region was less extensive than the previous studies which compared current smokers and never smokers, suggesting the potential to partially recover from smoking-related CBF deficit. |
| 1966 | Progressive Microstructural Cortical Changes in Psychotic Spectrum Disorders | |
| Faye McKenna1, Yu Veronica Sui1, Hillary Bertisch2, Donald Goff3, and Mariana Lazar1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2Department of Rehabilitation Medicine, New York University School of Medicine, New York, NY, United States, 3Psychiatry, New York University School of Medicine, New York, NY, United States |
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Widespread progressive cortical thinning is a long-standing finding in Psychotic Spectrum Disorders (PSD). While previous histological studies have documented an array of microstructural deficits in the thinning cortex in PSD few techniques have been available to examine these microstructural changes in vivo. We employed the diffusion kurtosis imaging (DKI) technique alongside the classical T1-weighted measure of cortical thickness to describe microstructural changes in the PSD cortex over the first 10 years of the illness. We found, for the first time, that DKI metrics of tissue complexity were significantly positively related to PSD illness progression in the cortex. |
| 1967 | Association between brain structural alteration and emotional change in depressive patients with suicidal ideation with GQI | |
| Man Teng Cheok1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai4, and Jun-Cheng Weng1,3,5 | ||
1Department of Medical Imaging and Radiological Sciences, 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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Over 300 million people are suffering from various degrees of depression worldwide. The level of depression severity is a significant risk factor for suicidal behavior. In this study, we used generalized q-sampling imaging (GQI) integrating with clinical diagnostic scale in the suicidal ideation and non-suicidal ideation depressive patients. The multiple regression was performed to identify the association between the GQI indices and the clinical scales. Our results indicated that the demyelination of precuneus may relate to the suicidal ideation in depressive patients. |
| 1968 | Structural alterations in functional movement disorders: a diffusion weighted imaging study | |
| Silvina G Horovitz1, Jacob Parker1, Patrick Bedard1, Carine Maurer1,2, and Mark Hallett1 | ||
1MNB - HMCS, NINDS - NIH, Bethesda, MD, United States, 2School of Medicine, Stony Brook University, Stony Brook, NY, United States |
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Functional movement disorders (FMD) patients have an overactive limbic system and an abnormal sense of self-agency. Using diffusion data on a population of 44 (FMD) patients and 44 matched controls, we identified structural anomalies in motor and limbic related areas. ‘Stronger’ (higher FA) limbic white matter reinforces the idea of enhanced limbic effects. Less integrity (higher trace) in areas of the motor system might contribute to the lack of agency. |
| 1969 | Quantification of cortical thickness changes in bipolar disorder patients following first episode mania: A prospective study | |
| Ariana Cahn1, Wayne Su1, Trisha Chakrabarty1, Kamyar Keramatian1, and Lakshmi Yatham1 | ||
1Psychiatry, University of British Columbia, Vancouver, BC, Canada |
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A long disease course of Bipolar I Disorder (BD-I) brings not only with it mood episodes and cognitive impairments, but a progressive change in grey matter morphology. To ascertain how mood episode variables such as type, amount and duration might have an effect on cortical thickness, we conducted a preliminary study in 32 patients from a larger longitudinal study. We found a negative correlation between right parietal lobe thickness and amount of depressive episodes between years 1 and 3 of the disease. These data suggest that early disease course morphological changes may be affected by presence of multiple depressive episodes. |
| 1970 | An Integrated PET/MR Study on Functional Connection and Glucose Metabolism of Default Mode Network Nodes for Premature Ejaculation Patients | |
| Lei Wang1, Long Jin1, Yarong Wang2, and Menghui Yuan1 | ||
1Nuclear Medicine, Tangdu Hospital of Air Force Medical University, Xi'an, China, 2Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China |
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Integrated PET/MR platform was used to observe the functional and metabolic effective connectivity (FC, MEC) patterns between 4 default mode network nodes for premature ejaculation patients, at resting-state and after-ejaculation-state. Significant increased FC between medial prefrontal cortex and posterior cingulate cortex (PCC) and decreased metabolic in PCC were found, after ejaculation. MEC pathways were not the same in different state, but the strength differences of MEC were not significant. There was significant positive correlation between intravaginal ejaculation latency time and the resting-state metabolism in PCC, controlling age factor. These findings gave new thoughts of PE diagnosis and treatment. |
| 1971 | Altered transient connectivity states at rest in Tourette’s syndrome | |
| Shukti Ramkiran1,2,3, Ravichandran Rajkumar1,2,3, N. Jon Shah1,3,4,5, and Irene Neuner1,2,3 | ||
1Institute of Neuroscience and Medicine - 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany, 2Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, 3JARA – BRAIN – Translational Medicine, Juelich, Germany, 4Department of Neurology, RWTH Aachen University, Aachen, Germany, 5Institute of Neuroscience and Medicine - 11 (INM-11), JARA, Forschungszentrum Juelich, Juelich, Germany |
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Analysis of dynamic functional connectivity enables identification of spatio-temporal variations in functional connectivity. This is useful in identifying transient states of abnormalities in various brain disorders. Tourette syndrome (TS) is a neurodevelopmental disorder characterized by multiple motor and at least one vocal or phonic tic. We identified eight distinct states in TS patients and healthy controls (HC) using spectral clustering. Our results show preferential state dominance and increased inter-state variability in TS patients as compared to healthy controls. |
| 1972 | Sleep Duration is Associated with Cognitive Performance and White Matter Microstructure in Healthy, Young Adults | |
| Harald Kugel1, Pascal Grumbach2, Nils Opel2, Susanne Meinert2, Elisabeth J Leehr2, Ronny Redlich2, Verena Enneking2, Janik Goltermann2, Bernhard T Baune2,3, Udo Dannlowski2, and Jonathan Repple2 | ||
1Institute of Clinical Radiology, University of Muenster, Muenster, Germany, 2Department of Psychiatry, University of Muenster, Muenster, Germany, 3Department of Psychiatry, University of Melbourne, Melbourne, Australia |
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This cross-sectional study showed that real-world differences in sleep duration but not subjective sleep quality are related to cognitive performance measures and - as indicated by fractional anisotropy measures in the SLF - white matter integrity in healthy, young adults, suggesting a detrimental effect of shorter sleep duration on brain structure and function. |
| 1973 | The association between stimulant medication, pharmacological MRI, and ADHD symptom severity in the mature and developing brain. | |
| Antonia Kaiser1, Anouk Schrantee1, Ramon Lindauer2, Marco Bottelier3, Paul J. Lucassen4, and Liesbeth Reneman1 | ||
1Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands, 2Department of Child and Adolescent Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands, 3Department of Child- and Adolescent Psychiatry, GGZ Noord-Holland Noord, Triversum, Alkmaar, Netherlands, 4Brain Plasticity group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands |
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We previously used pharmacological MRI (phMRI) to demonstrate that four months of methylphenidate treatment alters dopamine function after washout in medication-naïve children, but not adults, with ADHD. Here, we show in the same children at a 4-5 year follow-up, that the baseline phMRI response in the thalamus and anterior cingulate cortex predicts ADHD severity (hyperactivity scale). However, this association was not moderated by cumulative medication dose. Moreover, no association between phMRI response and symptom severity was found in adults. |
| 1974
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Hyperconnectivity among larger-scale intrinsic functional networks in drug-naïve children with attention-deficit/hyperactivity disorder | |
| Yingxue Gao1, Xuan Bu1, Kaili Liang1, Hailong Li1, Lianqing Zhang1, Lu Lu1, Shi Tang1, Yanlin Wang1, Xinyu Hu1, 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 |
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We used seed-based analysis and independent component analysis to investigate functional connectivity among five resting-sate networks including the default mode network (DMN), central executive network (CEN), salience network (SN) sensorimotor network (SMN) and affective network (AN) in children with attention-deficit/hyperactivity disorder (ADHD). Hyperconnectivity was found both within and between these networks. Our findings highlight the “hub” role of the DMN and the CEN among all these functional networks in the mechanism of network dysfunction in ADHD children. |
| 1975 | The longitudinal adolescent brain study: subcortical volume correlates of psychological distress in early adolescence | |
| Kathryn Broadhouse1, Amanda Boyes1, Larisa McLoughlin1, Marcella Parker1, Denise Beaudequin1, Gabrielle Simcock1, Jim Lagopoulos1, and Daniel Hermens1 | ||
1University of the Sunshine Coast, Sunshine Coast, Australia |
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Mapping structural trajectories across adolescence provides valuable insights into the “typical” pathway as well as the developmental emergence of mental illness during this dynamic period. Here we present preliminary findings investigating the relationship between the subcortical structures, hippocampus and amygdala (sub-structures known to play important roles in fear pathways and higher order executive functions) and psychological distress measures from the first two time-points in the Longitudinal Adolescent Brain Study. By determining the neuronal changes that present with the psychological symptoms of mental illness, potential efficacious, targeted interventions become a possibility. |
| 1976 | Resting-state functional neurobiological signatures associated with psychological distress in early adolescence | |
| Kathryn Broadhouse1, Amanda Boyes1, Larisa McLoughlin1, Marcella Parker1, Denise Beaudequin1, Gabrielle Simcock1, Jim Lagopoulos1, and Daniel Hermens1 | ||
1University of the Sunshine Coast, Sunshine Coast, Australia |
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By determining the neuro-functional changes that present with the psychological symptoms of mental illness, potential efficacious, targeted interventions become a possibility. Here we have shown that network dysfunction signatures present in several mental health disorders that underpin emotional regulation and social domain deficits are evident in 12-year-olds with increased psychological distress. Follow-up data from LABS mapping the functional connectome through adolescence and corresponding cognitive and psychological scores will provide valuable insight into the specific neuronal signatures and subsequent divergence pathways that underpin mental health and mental illness. |
| 1977 | Increased Connectivity Correlated to Severity of Autism in a Cohort of High Functioning Autism and Major Depressive Disorder | |
| Mario Serrano-Sosa1, Chuan Huang1,2,3, Christine DeLorenzo1,2, and Kenneth Gadow2 | ||
1Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 2Psychiatry, Stony Brook University, Stony Brook, NY, United States, 3Radiology, Stony Brook University, Stony Brook, NY, United States |
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This is the first study to investigate connectivity in a cohort of High Functioning Autism (HFA) and Major Depressive Disorder (MDD) subjects with comorbid autism. Using DSI studio for connectometry analysis, we investigated the relationship between Social Responsiveness Scale (SRS) scores and Spin Distribution Function (SDF) values derived from diffusion MRI images. Tractography based analysis showed corpus callosum, longitudinal fasciculus and corticothalamic pathways to have increased connectivity relating to SRS scores (FDR=0.011). Post hoc analysis showed trend-level partial correlation between SRS and SDF while controlling for IQ scores (p=0.056, r=0.480). |
| 1978 | Dynamic Sliding-Window MRS Method for Measuring Changes in Glutamate and GABA in Patients with Major Depressive Disorder | |
| John Port1, Balwinder Singh2, and Mark A Frye2 | ||
1Mayo Clinic, Rochester, MN, United States, 2Department of Psychiatry, Mayo Clinic, Rochester, MN, United States |
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We have developed a method of optimally frequency/phase adjusting individual FIDS of an MRS acquisition such that patient motion and scanner artifacts can be eliminated from long MRS acquisitions. This method uses MRS peak symmetry in order to optimally phase the Cho and Cr peaks acquired using a frequency-locked MEGA-PRESS sequence. We tested our method subjects receiving an IV ketamine infusion for MDD and noticed dramatic changes in GABA and Glx levels in one subject. Our method allows for dynamic MRS studies that can measure neurotransmitter changes over time. |
| 1979 | Relative modulations of left DLPFC connectivity with four patho-physologically relevant targets after repetitive TMS in major depression | |
| Pallab K Bhattacharyya1,2, Murat Altinay3, Xuemei Huang1, Mark Lowe1, and Amit Anand3 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Radiology, Cleveland Clinic Lerner College of Medicine, CLEVELAND, OH, United States, 3Neurogolical Institute, Cleveland Clinic, Cleveland, OH, United States |
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Abnormalities of resting state functional connectivity of several networks have been implicated in the pathology of major depressive disorder. Modulations of functional connectivity of left dorsolateral prefrontal cortex (DLPFC), the site of repetitive transcranial magnetic stimulation (rTMS) for patients inadequately responsive to medication, with four patho-physiologically relevant nodes were studied following rTMS therapy. While the group (N=6) showed improvement in depression following the therapy, only connectivity of left DLPFC with bilateral inferior parietal lobule changed its course – no such change was apparent in connectivity with bilateral anterior cingulate, anterior insula and middle temporal gyrus. |
| 1980 | A 7T MRS study of Psilocybin administration in patients with major depressive disorder | |
| Michal Povazan1,2, Manoj Doss3,4, Alan K Davis3,4,5, Matthew W Johnson3,4, Roland R Griffits3,4,6, Peter B Barker1,2, and Frederick S Barrett3,4 | ||
1Russell 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, 3Center for Psychedelic and Consciousness Research, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5College of Social Work, The Ohio State University, Columbus, OH, United States, 6Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Recent studies have shown that the administration of psilocybin may reduce depression severity. A role of glutamate was hypothesized in the antidepressant efficacy, however the exact neurobiological mechanisms remain unknown. Proton MR spectroscopy enables a valuable insight into glutamatergic metabolism and provides information about other important neuronal markers such as N-acetylaspartate. Here, we have utilized STEAM MR spectroscopy at 7T to observe the changes of cortical metabolites after psilocybin administration in patients with major depressive disorder. Two high dose sessions of psilocybin decreased glutamate and NAA levels of the anterior cingulate in the cohort. |
| 1981 | Evaluating the Role of Bed Nucleus of Stria Terminalis in Anorexia Nervosa Restricting Type | |
| Jianli Wang1, Lauren Spreen2, Xiaoyu Wang1, Christopher Freet3, Jeffrey Vesek2, Fauzia Mahr3, Lydia Petrovic-Dovat3, and Scott Bunce3 | ||
1Radiology, Penn State College of Medicine, Hershey, PA, United States, 2Molecular Biology, Penn State College of Medicine, Hershey, PA, United States, 3Psychiatry, Penn State College of Medicine, Hershey, PA, United States |
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There is growing evidence for the contribution of neurocircuitry regulating emotion, as well as appetite and body weight, in the etiology of anorexia nervosa (AN). The high prevalence of anxiety disorders in AN implicates a critical node in the neurocircuitry of anxiety. The bed nucleus of the stria terminalis (BNST) modulates not only responses to anxiogenic (versus fear) situations, but mediates anxious temperament and feeding as well, through efferent connections to the lateral hypothalamus. In this study, we sought to identify if there is significant functional and structural changes of BNST in AN related to food. |
| 1982 | Quantitative volumetric and parametric alterations in patients suffering from anorexia nervosa | |
| Zaheer Abbas1, Syed Hammad Akhter1, Dominik Ridder1, and N. Jon Shah1,2,3 | ||
1Medical Imaging Physics, Institute of Neuroscience and Medicine 4, Jülich, Germany, 2Institute of Neuroscience and Medicine 11, INM 11, JARA, Jülich, Germany, 3Department of Neurology, Faculty of Medicine, Aachen, Germany |
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Anorexia nervosa (AN) is an eating disorder characterized by severe weight loss due to a fear of gaining weight and obsessions relating to body shape. AN is a psychiatric illness, and although psychiatric co-morbidity in AN has already been extensively studied, the extent to which it can affect mortality is unclear. In this work, a quantitative and volumetric study to monitor the disease-related integrity of the brain tissue in a cohort of AN patients and healthy controls was performed. The preliminary results suggest that psychological treatment may be useful in terms of brain tissue integrity, even after only three months. |
| 1983 | Subanesthetic ketamine infusion increases oxidative metabolism in human prefrontal cortex | |
| Naomi R. Driesen1,2, Peter Herman3, Margaret Rowland1,2, Maolin Qiu3, George He4, Peter T. Morgan1, Andrea Diaz-Stansky1, Sarah Fineberg1, Daniel Barron1, Lars Helgeson5, Robert Chow5, Ralitza Gueorguieva6, Teo-Carlo Straun7, John H. Krystal1,2, and Fahmeed Hyder3,8 | ||
1Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT, United States, 2VA Connecticut Health Care System, West Haven, CT, United States, 3Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 4Psychology, Yale University, New Haven, CT, United States, 5Anesthesiology, Yale University, New Haven, CT, United States, 6Yale School of Public Health, Yale University, New Haven, CT, United States, 7Straun Health and Wellness, New Haven, CT, United States, 8Biomedical Engineering, Yale University, New Haven, CT, United States |
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We compared the effect of subanesthetic infusion of the NMDA receptor antagonist ketamine on metabolic activity to a similar volume of saline infusion in healthy volunteers. Since BOLD fMRI depends on neurovascular-neurometabolic couplings which can be confounded by pharmacological agents, we measured transverse relaxation rates (R2, R2*) and blood flow (CBF) to calculate oxidative metabolism (CMRO2) with calibrated fMRI. We found CBF and CMRO2 increased with ketamine infusion in nearly all Brodmann areas of the cortex. The CMRO2 increase was significant in prefrontal (0.16±0.06, p=0.026) and visual cortex (0.22±0.07, p=0.01), but not in sensorimotor cortex (0.17±0.14, p=0.258). |
| 1984 | MRI Brain Morphometry in Heterosexual Men and Women, Gay Men, and Transgender Women: A Preliminary Study | |
| Suwit Saekho1, Artit Rodkong2, Diana E Peragine3, Malvina N Skorska3, Pongpun Saokhieo4, Taweewat Supintham4, Oranicha Kaewthip4, Kittichai Wantanajittikul1, Suwat Chariyalertsak4, and Doug P VanderLaan3 | ||
1Radiologic Technology, Chiang Mai University, Chiang Mai, Thailand, 2Radiology, Chiang Mai University, Chiang Mai, Thailand, 3Psychology, University of Toronto Mississauga, Mississauga, ON, Canada, 4Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand |
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This study investigated brain bases of sexual and gender diversity. Heterosexual men and women, gay men, and transgender women underwent structural MRI. Regional volumes and cortical thickness were examined. Heterosexual sex differences were replicated. Men had greater gray and white matter volumes and women had thicker cortices. Overall, transgender women had a brain pattern that more closely reflected that of heterosexual women, whereas gay men were more similar to heterosexual men. Yet, transgender women also showed some volume and cortical thickness similarities to heterosexual men. These findings help identify brain regions related to gender identity. |
| 1985 | Identifying the brain network underlying symptom improvement following neuromodulation in Obsessive Compulsive Disorder. | |
| Jurgen Germann1, Gavin JB Elias1, Clemens Neudorfer1, Alexandre Boutet1, Clement T Chow1, Peter Giacobbe2, Se Jo Kim3, Hyun Ho Jung3, Walter Kucharczyk1, Jin Woo Chang4, and Andres M Lozano1 | ||
1University Health Network, Toronto, ON, Canada, 2Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea, 4Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea |
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Neuromodulatory interventions have shown promise in the treatment of Obsessive-Compulsive Disorder (OCD). However, the nature of the aberrants circuits that cause the disease as well as the network changes that are the basis of improvement following treatment are not well understood. Here we analyzed OCD patients treated with either MRI-guided focused ultrasound capsulotomy or deep brain stimulation targeting the inferior thalamic peduncle. Using neuroimaging analysis and modeling techniques we found that a fronto-limbic network (DLPFC, dorsal ACC, and amygdala) predicts individual improvement across groups. These results provide new insight into OCD and how to possibly refine neuromodulatory therapies. |
| 1986
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Disrupted Resting-State Functional Connectivity of Amygdala Subregions in Obsessive-Compulsive Disorder | |
| Lingxiao Cao1, Hailong Li1, Xinyu Hu1, Jing Liu1, Yingxue Gao1, Xuan Bu1, Lianqing Zhang1, Lu Lu1, Shi Tang1, Yanlin Wang1, Xinyue Hu1, 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, Sichuan University, Chengdu, China |
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Using seed based FC analysis, we investigated alterations in functional connectivity of amygdala subregions in OCD. Our findings (ⅰ) indicated OCD patients, relative to HC, have anomalous amygdala resting state network connections to brain regions that play a pivotal role in emotional processing; (ⅱ) identified CM/Astr-PCG hyperconnectivity and CM-cuneus hyperconnectivity, which were not detected when using the whole amygdala as a seed; (ⅲ) demonstrated FC measures of significant regions were correlated with illness duration and symptom severity. Besides, we found that functional aberrations were accompanied with anatomical changes in OCD. These findings may contribute to revealing the pathophysiology underlying OCD. |
| 1987 | Disorder-specific alternations of intrinsic brain functional network dynamics in obsessive-compulsive disorder and schizophrenia | |
| Fei Li1,2, Lekai Luo1,2, Qian Li1,2, Wanfang You1,2, and Qiyong Gong1,2 | ||
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, 2Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, China |
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Dynamic functional connectivity (dFC) analyses were used to compare the intrinsic brain functional network dynamics in patients with obsessive-compulsive disorder (OCD) and schizophrenia (SZ), by using resting-state functional MRI (rfMRI). We found that patients with OCD and SZ showed distinct disorder-specific alternations of brain dynamics and the higher fractional time in state 2 may indicate the more anxiety ratings in OCD patients. |
| 1988 | dACC Dysfunction During Inhibitory But Not Excitatory Motor Control in OCD: Glutamate Dysmodulation Estimated using ¹H fMRS | |
| Jeffrey A. Stanley1, Asadur Chowdury2, Dalal Khatib2, Phillip Easter2, David R. Rosenberg2, and Vaibhav A. Diwadkar2 | ||
1Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States, 2Wayne State University School of Medicine, Detroit, MI, United States |
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Loss of the E/I balance of the dACC in OCD was assessed using a combination of a) motor control tasks with distinct excitatory and inhibitory modes of responding, and b) ¹H fMRS to quantify evoked glutamate changes. Basal (task-independent) glutamate levels were comparable to healthy controls, as were levels during excitatory modes of responding. However, the inhibitory mode of responding induced a specific deficit in the degree of dACC glutamate modulation in OCD patients. In surmounting shortcomings of fMRI, ¹H fMRS successfully identified loss of excitation in the E/I balance of the dACC during specific phases of motor control. |
| 1989 | Temporal variability of local brain activity in medication-free patients with Obsessive Compulsive Disorder | |
| Jing Liu1, Yingxue Gao1, Hailong Li1, Xuan Bu1, Lingxiao Cao1, Lianqing Zhang1, Suming Zhang1, Xinyu Hu1, 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 |
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In current study, we use static and dynamic amplitude of low-frequency fluctuation / fractional low-frequency fluctuation (ALFF/fALFF) to assess the local brain activity on patients with obsessive-compulsive disorder (OCD). We found that both static and dynamic ALFF/fALFF can detect certain cerebral region with abnormal activity, however, dynamic ALFF/fALFF can demonstrate additional brain regions that are ignored by static ALFF/fALFF. In addition, we found that there is significant correlation between cerebellum activity and clinical scale, which suggested the crucial role of cerebellum in the pathophysiology of OCD. |
| 1990 | Dynamic characteristics of functional connectivity in the first-episode and treatment-naive patients with obsessive-compulsive disorder | |
| Junhong Liu1, Xiaoming Li1, Kaiyu Wang2, and Jingliang Cheng1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China |
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Compared with task-activation studies, dynamics are potentially even more prominent during resting-state, when mental activity is unconstrained. To assess whole-brain dynamic functional connectivity of first-episode and treatment-naive patients with obsessive-compulsive disorder (OCD), we used a series of methods including independent component analysis, sliding windows and k-means clustering. Our results indicated that OCD groups displayed more transitions between different states than healthy controls. This change was positively correlated with clinical scale scores, potentially contributing to better understanding of the dynamic neural mechanism of OCD. |
| 1991 | Analysis of resting-state networks alterations of first-episode obsessive–compulsive disorder patients by independent component analysis | |
| Junhong Liu1 and Jingliang Cheng1 | ||
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China |
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So far, there is no consensus on the cause of obsessive-compulsive disorder（OCD）. We used a data-driven method, independent component analysis (ICA), to study the change of whole brain resting-state functional connectivity of first-episode and treatment-naïve patients with OCD. Three abnormal resting-state networks, posterior default-mode network, right frontoparietal network and lateral visual network, have been found in patients. In addition, patients showed increased functional connection in bilateral cuneus, right inferior parietal lobule and right middle occipital lobule compared with controls. It’s considered that changes of abnormal resting-state networks might reveal the possible neural mechanism of OCD. |
| 1992 | The OCD symptoms affect to abnormal functional activity and connectivity at caudate nucleus during memory retrieval, and lead to GM volume changes | |
| Shin-Eui Park1, Gwang-Woo Jeong2, and Chulhyun Lee1 | ||
1Center for research equipment, Korea Basic Science Institue, Cheongju, Republic of Korea, 2Department of Radiology, Medical school, Chonnam National University, Gwangju, Republic of Korea |
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For verifying how the OCD symptom affects to abnormal functional activity and connectivity at Cd during memory processing, and whether leading to brain volume changes in direct or indirect, we performed multi study combined with fMRI and VBM study. Twenty OCD patients and 20 controls took part in VBM and fMRI studies with explicit memory task. The functional and morphological profiles of Cd could be emphasized to abnormal processing of explicit memory by OCD symptoms. It puts forward a possibility that focal functional connectivity and brain volume changes may be affected by lasting OCD symptoms, and leading to memory dysfunction. |
| 1993 | Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis | |
| JiaYing Gong1,2, Junjing Wang3, Shaojuan Qiu1, Long Qian4, Li Huang1, and Ying Wang1 | ||
1Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China, 2Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China, 3Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China, 4MR Research, GE Healthcare, Beijing, China |
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This is the largest voxel-based meta-analysis conducted to date of amplitude of low-frequency fluctuation (ALFF) studies in major depressive disorder (MDD) and bipolar disorder (BD). MDD and BD show a common pattern of aberrant regional intrinsic brain activity which predominantly includes the insula, medial prefrontal cortex (mPFC), and cerebellum. These results expand on a growing literature exploring resting-state activity in MDD and BD, which provide useful insights for understanding the underlying pathophysiology of brain dysfunction in affective disorders, and developing more targeted and efficacious treatment and intervention strategies. |
| 1994
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Smaller Hippocampal Subfields Associate with Poorer Logical Memory Performance in a Large Sample of MDD Patients | |
| Lianqing Zhang1, Xinyu Hu1, Lu Lu1, Xuan Bu1, Yingxue Gao1, Shi Tang1, Kaili Liang1, Lingxiao Cao1, Yanlin Wang1, Xinyue Hu1, Jing Liu1, Qiyong Gong1, and Xiaoqi Huang1 | ||
1Radiology, Huaxi MR Research Center (HMRRC), Sichuan University, Chengdu, China |
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Smaller hippocampus is a consistent finding in studies of major depressive disorder (MDD), and subfield-level anatomic analyses could provide new insights to the role of hippocampal deficit in MDD. In the current study, we recruited a relatively large sample of MDD patients and demonstrated that (1) “core structures” including CA and dentate gyrus are more anatomically involved in MDD than other structures in hippocampus; (2) hippocampal tail might be important in MDD, but the relationship between hippocampal tail and MDD could be complex; (3) smaller hippocampus could contribute to memory deficit in MDD patients by failure in long-term memory formation. |
| 1995 | Altered network efficiency is associated with mood disturbance in adults with major depressive disorder | |
| Xiaopei Xu1 and Lanying Liu2 | ||
1Department of Radiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, 2Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China |
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To better understand the underlying mechanisms for emotional disturbances in patients with major depressive disorder (MDD), we used structural brain connectivity analysis to investigate the differences in global and local network organization of MDD and healthy controls. Our results demonstrated that both global and local efficiency of patients with MDD were significantly decreased due to depressive symptoms, and that higher depression severity, anxiety somatization and cognitive disturbance were significantly associated with decreased network efficiency. These results indicated that brain network analysis is a useful tool to link psychological disorders with their underlying anatomical substrate. |
| 1996 | Glutamatergic involvement of left DLPFC and left anterior insula in treatment resistant major depressive disorder | |
| Pallab K Bhattacharyya1,2, Murat Altinay3, Xuemei Huang1, Jian Lin1, Mark Lowe1, and Amit Anand3 | ||
1Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, 2Radiology, Cleveland Clinic Lerner College of Medicine, CLEVELAND, OH, United States, 3Neurogolical Institute, Cleveland Clinic, Cleveland, OH, United States |
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Six subjects with treatment resistant major depressive disorder (MDD) were scanned with resting state functional connectivity (rsfMRI)and GABA/Glx editing protocol. rsFMRI between left dorsolateral prefrontal cortex (lDLPFC) and left anterior insula (lAI), two nodes of physiological importance in MDD, inversely correlated with Glx at DLPFC. No such association was observed between rsfMRI and GABA. lDLPFC-lAI rsfMRI, lDLPFC GABA or Glx levels did not correlate with disease severity. The results suggest a collective role of lDLPFC and lAI in MDD via a glutamatergic mechanism. |
| 1997
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Ketamine modulation of Cerebro-Cerebellar Circuitry During Response Inhibition in Major Depression | |
| Joana R. A. Loureiro1, Ashish K. Sahib1, Megha Vasavada1, Antoni Kubicki1, Shantanu Joshi1, Benjamin Wade1, Amber Leaver2, Roger Woods1, Randall Espinoza3, and Katherine Narr1 | ||
1Neurology, Ahamason-Lovelace Brain Mapping Center, UCLA, Los Angeles, CA, United States, 2Radiology, Center for Translational Imaging, Northwestern University, Chicago, IL, United States, 3Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, United States |
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Treatments for major depressive disorder (MDD) target communication between large-scale cortical networks and the cerebellum to improve cognitive control [2]. Here, we examined how repeated-ketamine perturbs cerebro-cerebellar circuitry during response-inhibition using a NoGo/Go task (43 MDD-patients receiving ketamine, 31 controls). We implemented a psychophysiological-interaction analysis to investigate ketamine-related changes in connectivity between cerebellum-regions and cortical-networks and respective nodes. Results showed significant decreases in connectivity between a cerebellum-dorsal-attention region and the default-network. A time-by-response interaction for the somatomotor-network was observed in treatment-responders only. Results support ketamine modulates cerebello-cerebro circuitry, which may be of impact for identifying new biomarkers of MDD response. |
| 1998 | Single and repeated ketamine treatment induces perfusion changes in sensory and limbic networks in major depressive disorder | |
| Ashish Kaul Sahib1, Joana Loureiro1, Megha Vasavada1, Antoni Kubicki1, Shantanu H Joshi1, Kai Wang2, Roger P Woods1, Eliza Congdon1, Danny J.J. Wang2, Michael Boucher1, Randall Espinoza1, and Katherine L Narr1 | ||
1UCLA, Los Angeles, CA, United States, 2University of Southern California, Los Angeles, CA, United States |
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Ketamine infusion therapy is now well-replicated to produce fast-acting antidepressant effects in patients with major depressive disorder (MDD). However, brain systems-level hemodynamic changes in response to single and repeated ketamine treatment remain uncharacterized. Using advanced MB pCASL MRI we examined CBF changes occurring with single and repeated ketamine treatment. Initial changes in blood flow were observed in the posterior cingulate and precuneus and primary and higher order visual areas. However, repeated exposure to ketamine engaged deeper limbic structures and the insula. Findings demonstrate that ketamine treatment perturbs distinct functional networks including sensory and limbic regions |
| 1999 | Anatomical NeuroImaging with Single and Parallel Transmission at Ultra-high Field: A Comparison of Image Quality and User Experience | |
| Samantha J Ma1, Chenyang Zhao1, Kai Wang1, Xingfeng Shao1, Soroush Heidari Pahlavian1, Farshid Sepehrband1, Kay Jann1, Lirong Yan1, and Danny JJ Wang1 | ||
1University of Southern California, Los Angeles, CA, United States |
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B1+ field inhomogeneity is an ongoing issue that plagues whole-brain anatomical imaging at ultra-high field, hindering its translation to the clinic. This work evaluates and compares the latest commercially available options for RF shimming using NOVA 1Tx/32Rx and parallel 8Tx/32Rx coil systems. Various configurations including the use of dielectric pads for 1Tx, or volume-selective and patient-specific RF shimming with pTx, were systematically compared with the purpose of evaluating benefits for clinically relevant anatomical imaging. Experimental results showed a consistent significant drop in the B1+ field map in the temporal lobe, which was ameliorated using pTx. |
| 2000 | Qualitative and Quantitative Evaluation of Uniform Combined Reconstruction (UNICORN) for Improving Intensity Uniformity in 7T-MRI of the Brain | |
| Venkata Veerendranadh Chebrolu1,2, Ravi Seethamraju3, Eric G Stinson1,2, Georgeta Mihai 4, Vera Kimbrell 4, and Srinivasan Mukundan, Jr.4 | ||
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Department of Radiology, Mayo Clinic, Rochester, MN, United States, 3Siemens Medical Solutions USA, Inc., Boston, MA, United States, 4Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States |
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Receive non-uniformity is one of the challenges that impacts 7T MRI and should be addressed for improved interpretation of brain images. Furthermore, segmentation algorithms that perform volumetric analysis of brain structures often require uniform signal intensity throughout the brain volume to function effectively. Uniform combined reconstruction (UNICORN) was recently reported as a method to improve receive uniformity in 7T musculoskeletal MRI; however, it has not yet been applied to brain imaging. The purpose of this work is to apply UNICORN to brain imaging and quantitatively evaluate its efficacy in improving intensity uniformity in 7T-MRI of the brain. |
| 2001 | Hippocampus subfield segmentation reliability is improved by non-linear realignments between scan-repetitions at 7T and 3T. | |
| Thomas B Shaw1, Steffen Bollmann1, Nicole T Atcheson1, Lachlan T Strike1, Christine Guo2, Katie L McMahon3, Jurgen Fripp4, Margaret J Wright1, Olivier Salvado4,5, and Markus Barth1 | ||
1The University of Queensland, Brisbane, Australia, 2QIMR Berghofer Medical Research Intstitute, Brisbane, Australia, 3Queensland University of Technology, Brisbane, Australia, 4CSIRO Health and Biosecurity, Brisbane, Australia, 5CSIRO Data61, Sydney, Australia |
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MR image quality is affected greatly by participant movement. Anatomical image quality can be improved by acquiring consecutive anatomical scans and combining them to boost SNR and sharpness. We aimed to find the optimal combination method of three repetitions of high-resolution turbo spin-echo (TSE) scans, commonly used for hippocampus subfield segmentation. We used non-linear realignment between the TSE repetitions in a range of participants at 3T and 7T and found that image segmentation reliability and sharpness were higher for the non-linear realignment technique, as compared to linearly realigned, and averaged methods. Hippocampus image segmentation greatly benefits from this technique. |
| 2002 | Automatic segmentation of thalamic nuclei from Multi-Echo MP2RAGE acquisition at 7T | |
| Ritobrato Datta1, Micky K Bacchus1, Sudipto Dolui2, Brenda L Banwell1, and Manoj Saranathan3 | ||
1Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2University of Pennsylvania, Philadelphia, PA, United States, 3University of Arizona, Tucson, AZ, United States |
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The efficacy of the Thalamus Optimized Multi-Atlas Segmentation (THOMAS) algorithm for segmentation of thalamic nuclei with multi-echo MP2RAGE images is studied in 7T. 9 subjects are evaluated on thalamic nuclei delineated on WMn-MPRAGE and ME-MP2RAGE images. We demonstrate that the algorithm performs as well on ME-MP2RAGE as on WMn-MPRAGE images. This indicates that THOMAS can be used on more commonly acquired MP2RAGE for wider use. |
| 2003 | The impact of B1+ inhomogeneities on automatic hippocampal morphometry using 7T MRI | |
| Roy AM Haast1, Jonathan C Lau1,2, Dimo Ivanov3, Kamil Uludag4,5, and Ali R Khan1,6 | ||
1Robarts Research Institute, Western University, London, ON, Canada, 2Department of Clinical Neurological Sciences, Division of Neurosurgery, Western University, London, ON, Canada, 3Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 4Institute for Basic Science, Center for Neuroscience Imaging Research, Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea, 5University Health Network, Toronto, ON, Canada, 6Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada |
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We examined the effect of B1+ inhomogeneities in 7T MP2RAGE data on hippocampal morphometry using volume- and surface-based evaluation methods. As for the cortex, significant variability in hippocampal and subcortical segmentation outputs are observed between original and corrected MP2RAGE data, especially near GM-CSF boundaries. Importantly, results of data acquired at two sites, using different MR hardware and sequence setups (B1+-sensitive vs insensitive), become more comparable after B1+ correction. These data emphasize the dependency of segmentation performances on anatomical image quality, and stresses the need for careful consideration of sequence parameters when setting up imaging protocols. |
| 2004 | Quantitative Analysis of Glioblastoma Treatment Using Dynamic Relaxation Contrast MRI at 9.4T | |
| Jia Guo1, Nanyan Zhu2, Yanping Sun3, Sabrina J. Gjerswold-Selleck4, Hong-Jian Wei5,6, Pavan S. Upadhyayula6,7, Angeliki Mela6,7, Cheng-Chia Wu5,6, Peter D. Canoll6,7, John T. Vaughan4, Douglas L. Rothman8, and Scott A. Small9 | ||
1Department of Psychiatry, and Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States, 2Department of Biological Science, Columbia University, New York, NY, United States, 3Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, United States, 4Department of Biomedical Engineering, Columbia University, New York, NY, United States, 5Department of Radiation Oncology, Columbia University, New York, NY, United States, 6Columbia University Irving Medical Center, Columbia University, New York, NY, United States, 7Department of Pathology and Cell Biology, Columbia University, New York, NY, United States, 8Departments of Diagnostic Radiology, or Biomedical Engineering, Yale University, New Haven, CT, United States, 9Departments of Neurology, Radiology or Psychiatry, Columbia University, New York, NY, United States |
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This abstract describes a novel dynamic T2-relaxation contrast magnetic resonance imaging (DRC-MRI) protocol for mapping the cerebral perfusion dynamics in mice. We demonstrate how to quantify cerebral perfusion dynamics with the proposed DRC modeling, which combines features of both dynamic and the steady-state methods. Quantitative analysis on both simulated and in vivo experimental data are performed. We first validate the reliability of our DRC modeling protocol with healthy mice before we apply the protocol on a tumor treatment study. We are able to demonstrate its ability to model the treatment effect of Etoposide on Glioblastoma in mice. |
| 2005 | Micro-Structural Delineation of the Human Olfactory Bulb with High Field MR Microscopy. | |
| Helen Murray1, Stephen Dodd2, Miriam Scadeng1, Maurice Curtis1, and Alan Koretsky2 | ||
1Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand, 2Laboratory of Functional and Molecular Imaging, NINDS, National Institutes of Health, Bethesda, MD, United States |
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Measuring anatomical structures in the olfactory bulb may be useful in studying neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. Preliminary magnetic resonance microscopy images of the olfactory bulb and tract have been obtained at high resolution (19-25 μm isotropic) and shown to have features that correlate well with immunohistochemical staining. |
| 2006 | Feasibility of Post-Gadolinium T1 SPACE Brain Imaging at 7T | |
| Eric G. Stinson1,2, Peter Kollasch1,2, John Lane2, Kirk Welker2, and Andrew J. Fagan2 | ||
1Siemens Medical Solutions USA, Inc., Rochester, MN, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States |
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Post-contrast imaging is useful for visualizing enhancing lesions, but when using MPRAGE at 7T the high vascular signal, gray/white matter contrast, and susceptibility-induced artifacts can confound visualization of enhancing lesions. T1-weighted SPACE imaging has been shown to provide improved visualization at 3T, but has not been used at 7T. Here, we show improved visualization of enhancing lesions at 7T with a T1 SPACE technique that avoids the downsides of post-Gadolinium MPRAGE imaging. |
| 2007 | 7T resting state connectivity applied to HIFU procedures for planning and efficacy | |
| Stephen Jones1, Jessica Cooperrider1, Daniel Lockwood1, Sean Nagel1, Emmanuel Obusez1, Richard Rammo1, Paul Ruggieri1, Andre Machado1, and Mark Lowe1 | ||
1Cleveland Clinic, Cleveland, OH, United States |
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High Intensity Focused Ultrasound (HIFU) in now entering clinical practice, for example to treat essential tremor by causing small lesions in the thalamus. Due to small size of treatment lesions, treatment success depends critically on targeting, which is classically done using measurments and landmarks. We explore an alternative method using functional imaging to guide targeting, specifically using 7T resting state connectivity. We present preliminary data of the patterns of connectivity possible with 7T using a concatenated series of healthy subjects. Finally, we show the changes in connectivity in a post-HIFU patient from the thalamus to the cortex. |
| 2008 | Clinical validation of patient-specific parcellation of the STN using 7T MRI via a DBS electrode placement revision case | |
| Remi Patriat1, Lauren Schrock1, Michael C Park1, Jerrold Vitek1, and Noam Harel1 | ||
1University of Minnesota, Minneapolis, MN, United States |
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Deep brain stimulation (DBS) in the subthalamic nucleus (STN) is an effective therapy for the motor signs associated with Parkinson’s disease. The STN is organized into three main functional territories, motor, associative and limbic, that can be identified using structural connectivity-based parcellation. While many may argue that the DBS electrode should be implanted in the sensorimotor region for maximum motor benefits, the optimal location within the STN remains under debate. In this study we describe a patient who experienced STN-DBS-induced depression, which was significantly alleviated following revision of the electrode. A 7T imaging-based reconstruction provides an explanation for this observation. |
| 2009 | Dynamic response profiling of periaqueductal grey during a bladder filling protocol using 7T functional MRI | |
| Job van den Hurk1,2, Mathijs de Rijk3, Sajjad M Rahnama'i3, and Gommert van Koeveringe4 | ||
1Scannexus Ultra-High Field MRI Center, Maastricht, Netherlands, 2Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Urology, Maastricht University, Maastricht, Netherlands, 4Department of Urology, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands |
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The periaqueductal grey (PAG) is a brainstem nucleus involved in storage and voiding of urine. We developed a novel method for creating dynamic response profiles for PAG, which requires three resting state ultra-high resolution fMRI datasets to be acquired: the first when the participant has an empty bladder, the second during filling of the bladder while subjective bladder sensations are recorded, and the third with a full bladder. PAG is functionally parcellated based on the full bladder scan, after which functional connectivity between the clusters is assessed for different states of bladder sensation. |
| 2010 | Evolution of Cerebral Hemodynamics with Migraine Onset and Propagation: a 21.1 T Study | |
| Nastaren Abad1,2, Hannah Elizabeth Alderson1,2, Michael Gordon Harrington3, 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, 3Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States |
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Dysfunctional ionic and metabolic regulation is evident in migraine, preceeding behavioral onset of pain and culminating in the extensive clinical (pre, peri and post-ictal) features presented in migraine. It, therefore, stands to reason that the ionic and metabolic abnormalities may induce microvascular blood flow changes in brain tissue, with altered perfusion not as an inciting event but as a response underlying ionic impacts. To elucidate the timing of hemodynamic effects in migraine, the overarching aim of this study is to investigate perfusion changes that potentially follow triggered migraine. |
| 2011 | An MRI traumatic brain injury case study at 7 Tesla: pre- and post-injury structural network and volumetric reorganization and recovery | |
| Stephanie S. G. Brown1,2, Kristen Dams-O'Connor3, Priti Balchandani4, and Rebecca E. Feldman5 | ||
1Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 2Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai / University of Cambridge, New York, NY, United States, 3Brain Injury Research Centre, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Department of Computer Science, Mathematics, Physics, and Statistics, University of British Columbia, Kelowna, BC, Canada |
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This case study investigates the structural effects of traumatic brain injury for the first time using pre-injury and post-injury 7 Tesla MRI longitudinal data. We report findings of initial volumetric changes, decreased structural connectivity and reduced microstructural order that appear to return to baseline 8 months post-injury, suggestive of long-term plasticity and recovery. |
| 2012 | Altered visual pathway dynamics upon dark rearing of mice captured with ultra-fast fMRI | |
| Rita Gil1 and Noam Shemesh1 | ||
1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Dark rearing (DR) profoundly affects visual processing. Decreased flash responsiveness and increased off-response latencies were reported in DR mice visual cortex (VC). Here, we targeted such plastic changes in activation dynamics using ultrafast fMRI upon mice monocular visual stimulation. Our results, targeting the most of the pathway, showed decreased BOLD amplitudes in most visual pathway structures as well as less well-defined neuronal input order. Activation maps revealed marked increases in ipsilateral response in DR mice compared to controls. These results reveal that BOLD fMRI can depict visual pathway plasticity, and suggests a naïve and unskilled network upon DR. |
| 2013 | U-net based automatic segmentation of the vocal tract airspace in speech MRI | |
| Subin Erattakulangara1 and Sajan Goud Lingala1 | ||
1Biomedical Engineering, University of Iowa, iowa city, IA, United States |
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We develop a fully automated airway segmentation method to segment the vocal tract airway from surrounding soft tissue in speech MRI. We train a U-net architecture to learn the end to end mapping between a mid-sagittal image, and the manually segmented airway. We base our training on MRI of sustained speech sound database and dynamic speech MRI database. Once trained, our model performs fast airway segmentations on unseen images. We demonstrate the proposed U-NET based airway segmentation to provide considerably improved DICE similarity compared to existing seed-growing segmentation, and minor differences in DICE similarity compared to manual segmentation |
| 2014 | Parameters tradeoff for small articulator features in dynamic vocal tract RT-MRI | |
| Pierre-André Vuissoz1, Karyna Isaieva1, Ioannis Douros1,2, Yves Laprie2, Freddy Odille1,3, and Jacques Felblinger1,3 | ||
1IADI Université de Lorraine, INSERM U1254, Nancy, France, 2LORIA Université de Lorraine, CNRS, Inria, Nancy, France, 3CIC-IT 1433 INSERM, CHRU de Nancy, Nancy, France |
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Dynamic images acquired with real-time radial Flash sequence and nonlinear reconstruction pipeline are compared for two set of parameters standard protocol and an higher resolution set trading real-time reconstruction constrain for an increase in spatial resolution. The spatial resolution improvement is assessed using sharpness index and quality of automatic edge detection. |
| 2015 | Differentiation of salivary gland tumor using diffusion weighted imaging with a fractional order calculus model | |
| Xiao-Quan Xu1, Wei Chen1, Yong-Ming Dai2, and Fei-Yun Wu1 | ||
1The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2United Imaging Healthcare, Shanghai, China |
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To evaluate the feasibility of DWI and a FROC diffusion model to diagnose salivary gland tumors. |
| 2016 | Real-time phase contrast MRI measurements of coughing in patients with Chiari malformation | |
| Rob Lloyd1,2, Iain Ball3, Marcus Stoodley4, and Lynne Bilston1,2 | ||
1Neuroscience Research Australia, Randwick, Australia, 2Prince of Wales Clinical School, University of New South Wales, Randwick, Australia, 3Philips Australia & New Zealand, North Ryde, Australia, 4Department of Clinical Medicine, Macquarie University, Macquarie Park, Australia |
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Cerebrospinal fluid (CSF) flow, as characterised by real-time PCMRI, may inform surgeons whether a patient with Chiari malformation may benefit from decompression surgery. 5 healthy controls and 7 Chiari patients with (N=4) and without (N=3) coughing headache underwent MRI scanning to measure CSF velocities while coughing. Results suggest that Chiari patients with coughing triggered headaches have increased CSF velocities at the foramen magnum during a cough compared with both controls and patients without headache. This may help understand the mechanisms of coughing triggered headaches and provide a useful indicator for clinicians. |
| 2017 | Brain activation patterns associated with sexual orientation and its correlation with free testosterone in female-to-male transsexuals | |
| Gwang-Won Kim1,2, Kwangsung Park1,3, and Gwang-Woo Jeong4 | ||
1Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea, Republic of, 2Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Department of Urology, Chonnam National University Hospital, Gwangju, Korea, Republic of, 4Department of Radiology, Chonnam National University Medical School, Gwangju, Korea, Republic of |
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Recent functional magnetic resonance imaging studies revealed that the sexual orientation of male-to-female transsexuals have a specific tendency of female-like brain function during sexual arousal; however, the relationships between brain morphology and brain activation patterns reflecting sexual orientation in postoperative female-to-male (FTM) transsexuals are currently unknown. The purpose of this study was to evaluate the brain activation pattern associated with sexual orientation and its correlation with the level of the free testosterone in postoperative FTM transsexuals. This study was also performed to discriminate the gray and white matter volume differences between FTM transsexuals and female controls. |
| 2018 | Repeatability of T1rho imaging in the head and neck | |
| Qiyong Ai1, Ann D. King1, Huimin Zhang1, and Weitian Chen1 | ||
1The Chinese University of Hong Kong, Hong Kong, Hong Kong |
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T1rho imaging is a new MRI sequence for cancer evaluation but the repeatability of this sequence in the head and neck region is unknown. T1rho imaging of the head and neck was performed three times comprising an initial scan (scan 1) followed by a scan 30 minutes (scan 2) and 14 days (scan 3) later. The repeatability, agreement and variance for the parotid gland, palatine tonsil and tongue were assessed by comparing scan 1 and 2 and comparing scan 1 and 3. Results suggested that T1rho imaging could be a reliable sequence for use in the head and neck. |
| 2019 | Application of diffusion kurtosis imaging in differential diagnosis of thyroid adenoma and papillary thyroid carcinoma | |
| Qiying Tang1, Jianjun Zhou1, and Puyeh Wu2 | ||
1Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China, 2MR Research China, GE Healthcare, Beijing, China |
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Diffusion kurtosis imaging (DKI) has not yet been widely studied in thyroid disease diagnosis. Here we investigate the feasibility of DKI in distinguishing thyroid adenoma (TA) from papillary thyroid carcinoma (PTC). We found that quantitative measurements provided by DKI were significantly different between TA and PTC. A higher area under the curve of mean diffusivity (MD) in discriminating TA from PTC was also observed. We concluded that DKI can be used as a feasible technique and benefit the diagnostic performance in distinguishing between TA and PTC. |
| 2020 | Towards quantitative characterization in patients with skull-based invasion of nasopharyngeal carcinoma (NPC) using synthetic MRI | |
| Huiming Liu1, Tie-bao Meng1, Haoqiang He1, Long Qian2, Weiyin Liu2, and Chuanmiao Xie1 | ||
1Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China |
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MRI is the primary image diagnosis of nasopharyngeal carcinoma (NPC) at the stage T or N. For diagnosis of NPC, the presence of skull-based invasion is an important indicator for grading. In the early tumor infiltration, tumor cells have invaded bone marrow without re-arrangement of trabecular and cortical bones. Routine MRI diagnosis depends on physician’s objectively visual determination without quantification and standardization. Our study showed that T1 and T2 values in patients with skull-based invasion of NPC were higher and lower than healthy volunteers, respectively. MAGiC imaging sequence could help physicians determine NPC with or without skull-based invasion. |
| 2021 | Simultaneous MR Neurography and Quantitative Mapping of the Lumbar Plexus Using Point-Spread-Function Encoded EPI | |
| Sisi Li1, Zhangxuan Hu1, Yishi Wang2, and Hua Guo1 | ||
1Department of Biomedical Engineering, Center for Biomedical Imaging Research, Beijing, China, 2Philips Healthcare, Beijing, China |
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The combination of MR neurography (MRN) and comprehensive quantitative MRI is of great clinical significance for pathological analysis of peripheral nerves. This study aims to investigate simultaneous MRN, T2, T2* mapping of lumbar plexus by using a distortion-free multishot technique, Point-Spread-Function Encoded EPI (PSF-EPI). Particularly, the quantitative T2 and T2* mapping are conducted by using the multiple echo-shifted intermediate images of PSF-EPI. Also, PSF-EPI can be highly accelerated by the titled-CAIPI acquisition scheme. The acquisition time can be reduced to around 2 minutes. The efficacy of PSF-EPI is demonstrated on healthy volunteers and patients. |
| 2022 | Small-World networks in the human brain revealed by cortical layers from T1 mapping | |
| Long Qian1,2, Xu-yun Wen3, Si-dong Liu4, Wei-qiang Dou1, and Tie-bao Meng5 | ||
1MR Research, GE Healthcare, Beijing, China, 21Department of Biomedical Engineering, Peking University, Beijing, China, 3School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China, 4Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia, 5Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China |
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Our goal is to propose a new approach to construct the brain anatomical connectivity networks using T1 mapping, and verify whether this novel brain network has higher Small-Worldness and efficiency organization. We reviewed the previous studies, and discovered that the cortical layers could be delineated on the basis of myeloarchitecture, while T1 mapping strongly correlated with intro-cortical myelin contents. Hence, it is feasible to quantify the anatomical connectivity using T1 mapping. Our resulted supported our hypothesis and highlighted the higher Small-Worldness and efficiency of this network compared with conventional macroscale cortical morphometry based approach. |
| 2023 | Diagnostic utility of Geometric Solution bSSFP in the internal auditory canal and orbits | |
| Michael Nicholas Hoff1, Nathan M Cross2, Daniel S Hippe2, Charles G Colip2, and Jalal B Andre2 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Radiology, University of Washington, SEATTLE, WA, United States |
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Imaging pathology in the internal auditory canal and orbits benefits from techniques such as bSSFP MRI due to its high time efficiency and SNR. Here the geometric solution (GS) is proposed in concert with bSSFP for temporal bone and orbit imaging to circumvent banding and motion artifacts. The GS-bSSFP technique is validated in a cohort of patients scheduled for evaluation of treated vestibular schwannoma. Three blinded neuroradiologists found that GS-bSSFP exceeded comparable techniques in terms of image quality and diagnostic utility. |
| 2024 | Application of Deep Learning Reconstruction to Compressed-sensing Thin-slice Fat-suppressed T2-weighted Imaging of the Orbit | |
| Satoshi Nakajima1, Yasutaka Fushimi1, Yusuke Yokota1, Sonoko Oshima1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Yuichiro Sano2, Ryo Matsuda2, Masahito Nambu2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Kawai Miyake4, Tsuneo Saga4, and Kaori Togashi1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Otawara, Japan, 3Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Deep learning reconstruction (DLR) is a novel denoising processing. We applied DLR to a compressed sensing (CS) sequence of orbital thin-slice fat-suppressed T2-weighted imaging with one number of excitation (NEX). A CS sequence with one NEX without DLR and a conventional sequence with two NEX were also obtained to evaluate the denoising performance. Combined usage of DLR with CS reduced image noise and improved the image quality of the optic nerves and the medial rectus muscles, while achieving shorter acquisition time, compared with the CS and the conventional sequences without DLR. |
| 2025 | Troponin T is a potential indicator for nerve damage in Type 2 Diabetes - results from Diffusion Tensor Imaging of the sciatic nerve | |
| Johann Malte Enno Jende1, Stefan Kopf2, Zoltan Kender2, Artur Hahn1, Jakob Morgenstern3, Peter Paul Nawroth2, Martin Bendszus1, and Felix Tobias Kurz1 | ||
1Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany, 2Internal Medicine I / Endocrinology, Heidelberg University Hospital, Heidelberg, Germany, 3Laboratory medicine, Heidelberg University Hospital, Heidelberg, Germany |
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Diabetic neuropathy (DN) is one of the most severe complications of Diabetes mellitus. This study sought to investigate potential correlations between high sensitivity Troponin T (hsTNT) assays and peripheral nerve fractional anisotropy (FA) in diffusion tensor imaging (DTI) in 51 patients with diabetes. We found negative correlations of hsTNT with the sciatic nerve's FA (r=-0.52;p<0.001) and sural, tibial, and peroneal nerve conduction velocities (0.65,p<0.001; r=-0.44,p=0.002, and r=-0.42,p=0.003, respectively). Our results indicate that hsTNT is a potential marker for microangiopathy-related nerve damage in diabetic neuropathy. |
| 2026 | Motivation and Feasibility for Low Field Imaging of Stroke | |
| Seema Bhat1, Hanumantharaju M C2, Rita G Nunes3, and Sairam Geethanath1,4 | ||
1Medical Imaging Research Center,Dayananda Sagar College of Engineering, Bangalore, India, 2Dept. of Electronics and Communication, BMS Institute of Technology and Management, Bangalore, India, 3Institute for Systems and Robotics /Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, Lisbon, Portugal, 4Dept. of Radiology, Columbia University Medical Center, New York, NY, Newyork, NY, United States |
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Stroke is one of the major reasons for death and disability globally. The abstract aims to review stroke imaging in geographies with limited access to scanners, particularly North Eastern India and the interior regions of Portugal. The critical operating window of treatment to reverse the damage is of few hours. Neuroimaging plays a significant role in diagnosis and treatment of stroke. It is necessary to explore accessible methods to deliver point of care MR stroke services in such regions. The current work includes stroke incidence, disability adjusted life years, scanner density and feasibility of low field MRI for stroke. |
| 2027 | Compressed-SENSE accelerated fast comprehensive eight minutes MR based stroke protocol including non-contrast imaging of ischemic penumbra | |
| Rupsa Bhattacharjee1, Rakesh Kumar Gupta2, Vijay Kant Dixit3, Praveen Gupta4, and Indrajit Saha1 | ||
1Philips Health Systems, Philips India Limited, Gurugram, India, 2Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 3Department of Interventional Neuroradiology, Fortis Memorial research Institute, Gurugram, India, 4Department of Neurology, Fortis Memorial research Institute, Gurugram, India |
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In this study, we propose a modified fast MR 8-minutes stroke protocol including Flair-TSE, DWI, SWI, 3D-pCASL and 3D-non-contrast-MRA that can provide complete information covering the whole spectrum of core-infarct, hemorrhagic-components, vessel-occlusion and ischemic-penumbra. The time duration of this protocol is sufficiently shorter with the benefit of using Compressed-SENSE acceleration algorithm. This MR based stroke protocol does not involve any harmful radiation and contrast media. In our study, this protocol is validated in clinical setting and benefits the therapy-planning of about 70% of patients presented acute ischemic stroke. This protocol has the potential to be adapted for acute-stroke management strategies. |
| 2028 | Suitability of Deep Weakly-supervised Learning to Detect Acute Ischemic Strokes and Hemorrhagic Infarctions Using Diffusion-weighted Imaging | |
| Chen Cao1,2, Zhiyang Liu3, Guohua Liu3, Jinxia Zhu4, Song Jin1, and Shuang Xia5 | ||
1Key Laboratory for Cerebral Artery and Neural Degeneration of Tianjin, Radiology Department, Tianjin Huanhu Hospital, Tianjin, China, 2Radiology Department, First Central Clinical College, Tianjin Medical University, Tianjin, China, 3Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China, 4MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 5Radiology Department, Tianjin First Central Hospital, Tianjin, China |
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We hypothesized that deep weakly-supervised learning could detect acute ischemic stroke (AIS) and hemorrhagic infarction (HI) lesions using diffusion-weighted imaging. Each image slice was assigned an annotation indicating whether or not the slice contained a lesion. The proposed method was trained on an AIS dataset using 417 patients with weakly-labeled lesions and evaluated on a dataset using 319 patients with fully-labeled lesions, which detected lesions with high accuracy. The method was trained on a HI dataset using 240 patients with weakly-labeled lesions and evaluated using 65 patients with fully-labeled lesions. Lesion detection sensitivities were 87.7% (AISs) and 86.2% (HIs). |
| 2029 | Texture analysis based on ADC maps and T2-FLAIR images in prognosis of ischemic stroke | |
| Hao Wang1, Liyun Zheng2, Jixian Lin3,4, Jing Zhao3, Bin Song1, and Yongming Dai2 | ||
1Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China, 2United Imaging Healthcare, MR collaboration, Shanghai, China, 3Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China, 4Department of Electronic Engineering, Fudan University, Shanghai, China |
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Ischemic stroke is characterized by the sudden loss of blood circulation to an area in the brain. Conventional imaging methods, including CT and MR, were difficult to evaluate and quantify the surface patterns of lesions. As textural features could serve as quantitative biomarkers of variation in surface intensity or patterns, in this study, we explored the feasibility of texture analysis (TA) based on T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) as well as apparent diffusion coefficient (ADC) in predicting the prognosis of ischemic stroke. Our results indicated that the texture features could differentiate minor stroke from severe stroke, and detect functional outcomes. |
| 2030 | Quantification of contrast enhancement from FLAIR to assess meningeal inflammation in a meningoencephalitis model | |
| Ji Hyun Lee1, Jeffrey Solomon1,2, Donna Perry1, Jennifer Sword1, Marcelo Castro1, Joseph Laux1, Rebecca Reeder1, Yu Cong1, Ian Crozier1,2, Irwin M Feuerstein1, and Dima Hammoud3 | ||
1Integrated Research Facility, Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Frederick, MD, United States, 2Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, United States, 3Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States |
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The purpose of this study was to utilize advanced post processing analysis to assess the degree of meningeal inflammation in an animal model of Lassa virus induced meningoencephalitis. Subtraction analysis of co-registered pre- and post-contrast FLAIR images revealed various degrees of meningeal inflammation between animals. Histopathology confirmed viral meningoencephalitis. This approach can be helpful in detecting mild to severe degrees of meningeal inflammation in a variety of infectious diseases. |
| 2031 | Self-efficacy brain: General self-efficacy mediates the link of lenticular nucleus volume to affective well-being in late adolescence | |
| Han Lai1, Song Wang1, and Qiyong Gong1 | ||
1Huaxi MR Research Center (HMRRC), Chengdu, China |
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Previous literature has shown importance of positive traits to a spectrum of health outcomes, in particular to subjective well-being. General self-efficacy (GSE), a kind of motivational belief in competence with prospective and operative nature, is one such trait. Here, structural magnetic resonance imaging along with self-report tests were applied to investigate neural basis of GSE and the underlying neural mechanism of how GSE promotes subjective well-being during late adolescence. Our findings showed a positive link between GSE and the left lenticular nucleus volume and revealed a mediating role of GSE in the relation of lenticular nucleus volume with affective well-being. |
| 2032 | Structural covariance differences in mild and refractory mesial temporal lobe epilepsy | |
| Maria Eugenia Caligiuri1 and Angelo Labate2 | ||
1Neuroscience Research Center, University "Magna Graecia", Catanzaro, Italy, 2Institute of Neurology, University "Magna Graecia", Catanzaro, Italy |
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Mesial Temporal Lobe Epilepsy (MTLE), the most common form of adult-onset epilepsy, represents a convenient candidate to study brain structural covariance networks. In particular, mild MTLE is a precious resource to study brain structure and function independently from the damage caused by seizure recurrence and medication use. In this work, we used graph analysis to investigate structural covariance networks in mild and refractory MTLE, and found that while the latter shows altered integration and segregation network properties, mMTLE has graph-based characteristics suggestive of a possibly inborn different brain organization that might act as protective factor against seizure recurrence. |
| 2033 | Radiomics based on multi departments for differentiating anaplastic astrocytoma and anaplastic oligodendroglioma and predicting 1p19q status | |
| Guohua Zhao1,2, Zehua Liu1, Jie Bai2, Ankang Gao2, Yusong Lin3, and Jingliang Cheng2 | ||
1School of Information and Engineering, Zhengzhou University, Zhengzhou, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3School of Software, Zhengzhou University, Zhengzhou, China |
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Radiologists encounter difficulty in accurately distinguishing anaplastic astrocytoma from anaplastic oligodendroglioma based on images. Neurosurgeons prefer non-invasive determination of the 1p19q tumor status to prepare treatment plans early. This study aimed to satisfy clinical needs of multi departments by constructing two radiomic models based on magnetic resonance imaging. The models can help identify the two tumors through their imaging features and predict their 1p19q status. Good performance in terms of the area under the receiver operating characteristic curve, sensitivity, and specificity was observed, suggesting the potential of our approach in supporting multidisciplinary clinical work |
| 2034 | Clinical risk factors for smoking-related neurobiological damage | |
| Catherine A Spilling1, Mohani-Preet K Bajaj1, Daniel R Burrage2, Sachelle Ruickbie3, Emma H Baker2, Thomas R Barrick1, and Paul W Jones2 | ||
1Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom, 2Institute for Infection and Immunity, St George's University of London, London, United Kingdom, 3Respiratory Medicine, St George's University Hospital NHS Foundation Trust, London, United Kingdom |
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Elderly cigarette smokers have an elevated risk of cognitive decline and neurological disease, however, the pathophysiological mechanisms are unclear. This study investigated which biological factors are responsible. 100 participants (age: 68±8 years, 69% male) with significant smoking history and range of respiratory and cardiovascular disease were recruited. Multiple linear regression showed that higher blood pressure, reduced respiratory function, hypoperfusion and biomarkers of cardiac (troponin T) damage and systemic inflammation (C-reactive protein) were associated with brain magnetic resonance markers of neurobiological damage and there may be complex interactions between them. Results support a vascular aetiology with contributions from systemic inflammation. |
| 2035 | Chronic effects of smoking on the brain oxygenation and perfusion using ASL and quantitative BOLD MRI | |
| Sebastian Thomas1, Simon Hubertus1, Alycia Lee2, Sabine Vollstädt-Klein*2, and Lothar R. Schad*1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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The effects of smoking on human brain hemodynamics have been investigated in PET studies, but no real consensus has been found. In this study, an MRI-based approach using arterial spin labelling and multi-parametric quantitative BOLD is implemented to measure the chronic effects of cigarette smoking on the cerebral blood flow, oxygen extraction fraction and cerebral metabolic rate of oxygen. Chronic effects between smokers and never-smokers were detected in three regions for CBF, three regions for OEF, and one region for CMRO2. |
| 2036 | Quantitative Susceptibility Mapping in a Healthy Population of Cigarette Smokers | |
| Sanjeev Chawla1, Emily Devlin2, Claudia Ianelli3, Deepa Thakuri1, Dushyant Kumar1, Hari Hariharan1, Suyash Mohan1, James Loughead2, Cynthia Neill Epperson3, Ravinder Reddy1, and Ravi Prakash Reddy Nanga1 | ||
1Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 2Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 3University of Clorado School of Medicine, Aurora, CO, United States |
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The purpose was to evaluate the differential degree of iron deposition in deep gray-matter regions in a healthy population of cigarette smokers (n=8) and non-smokers (n=7) using quantitative susceptibility mapping (QSM). All subjects underwent anatomical imaging and 3D-susceptibiluty weighted imaging on a 7T MR system. A trend towards higher QSM was observed in smokers than in non-smokers from globus pallidus region. All other DGM regions also had higher QSM values in smokers compared to those of non-smokers, however, no significant differences were observed. Future studies are warranted to validate our findings in a larger cohort. |
| 2037 | Effect of memory retrieval-extinction procedure on the brain of patients in smoking cessation revealed by resting-state fMRI | |
| Shih-Yu Huang1, Ming-Chou Ho2,3, and Jun-Cheng Weng1,4,5 | ||
1Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, 2Department of Psychology, Chung Shan Medical University, Taichung, Taiwan, 3Clinical Psychological Room, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 5Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan |
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Previous studies used memory retrieval-extinction procedure to successfully reduce the drug self-administration behavior in rats and heroin patients. The method was rarely used in smoking cessation. This study used resting-state fMRI to evaluate the effect of memory retrieval-extinction procedure on heavy smokers. We found that lower default mode network activity and higher reward system activation in smokers who finished the memory retrieval-extinction procedure. It may reflect a nonpharmacological method induced the smoking-related emotions but reduced smoking memory retrieval. In conclusion, our results could give a new perspective on clinical treatment for smoking cessation. |
| 2038 | Association of decreased cerebral myelination with obesity | |
| Mustapha Bouhrara1, Nikkita Khattar1, Luis E. Cortina1, Abinand C. Rejimon1, Elango Palchamy1, Susan M. Resnick1, and Richard G. Spencer1 | ||
1NIA, NIH, Baltimore, MD, United States |
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Diffusion tensor imaging (DTI), relaxation time, and magnetization ratio (MTR)-based studies have shown that obesity negatively impacts microstructural white matter (WM) integrity. However, the specific impact of obesity on myelin content has not previously been evaluated. Here, we examined the relationship between obesity status, measured using body mass index (BMI), and myelin content, measured using myelin water fraction (MWF) mapping, a surrogate of myelin content, in a large age cohort of cognitively unimpaired lean, overweight, and obese subjects. Our results indicate that BMI is negatively associated with MWF in several brain WM regions. |
| 2039 | Effect of Jet Lag on Brain White Matter Functional Connectivity | |
| Feifei Zhang1, Zhiyun Jia1, and Qiyong Gong1 | ||
1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China, ChengDu, China |
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The most prominent finding is decreased static FC and FCC between the cingulate network (WM7) and other WM networks, especially the occipital network, precentral/postcentral network, inferior longitudinal fasciculus network and corona radiate network. The cingulate network is also identified as being affected by Jet Lag in that there is a significant negative correlation between the cingulate and WM3 and GM7 and positive emotion scores. Taken together, these findings provide evidence that changes in WM FC, and especially of the cingulate, may be linked to an decrease in positive emotion as a symptom of Jet Lag. |
| 2040 | Hippocampal and Systemic Oxidative Stress in a rat model of Chronic Hepatic Encephalopathy, a multimodal approach | |
| Katarzyna Pierzchala1, Dunja Simicic1, Andrzej Sienkiewicz2, Dario Sessa3, Stefanita Mitrea4, Olivier Braissant5, Valerie McLin3, Rolf Gruetter1, and Cristina Cudalbu4 | ||
1CIBM / LIFMET / EPFL, Lausanne, Switzerland, 2LPMC / EPFL, Lausanne, Switzerland, 3Center for Liver Disease in Children,Department of Paediatrics, HUG, Geneva, Switzerland, 4CIBM / EPFL, Lausanne, Switzerland, 5Service of Clinical Chemistry, CHUV, Lausanne, Switzerland |
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Chronic hepatic encephalopathy (CHE) is a multifactorial disease. The presence of central nervous system (CNS) and systemic oxidative stress (OS) is thought to contribute to the pathogenesis of CHE. Clinically, it is known that peripheral inflammation contributes to acute worsening of patients with CHE. We used in-vivo 1H-MRS, ex-vivo/in-vitro ESR and histology of CNS to investigate longitudinally the course of OS in the rat model of CHE. Our studies revealed antioxidant system impairment (decrease of CNS Asc and GSH, post-BDL) and increased CNS and systemic OS over the course of CHE progression, concomitant with CNS Gln and systemic NH4+ increase. |
| 2041 | Changes in cerebral venous blood oxygen levels in patients with end-stage renal disease undergoing hemodialysis | |
| Yiwei Che1, Yanwei Miao1, Yuhan Jiang1, Peipei Chang1, Bingbing Gao1, Qingwei Song1, Ailian Liu1, Jiazheng Wang2, and Huai Max2 | ||
1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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End-stage renal disease (ESRD) usually requires maintenance dialysis or kidney transplantation. However, whether maintenance of hemodialysis improves cerebral oxygen levels in patients with ESRD is unclear. This study aim to explore the changes in blood oxygen content in the venules of patients with ESRD who maintained hemodialysis were evaluated by measuring the phase value (Δφ) of deep venous magnetic susceptibility (SWI) in the deep brain. We found that the cerebral venous oxygen level in patients with hemodialysis ESRD was higher than that in the healthy control group. Maintaining hemodialysis may improve cerebral blood oxygen levels in ESRD patients. |
| 2042 | Kinetics of O-17-labeled water in the brain parenchyma and cerebrospinal fluid of aquaporin-4-knockout mice on indirect MRI | |
| Yutaka Hoshino1, Hiroyuki Kameda1, Taisuke Harada1, Yuji Komaki2, Tomoe Ishikawa3, Masato Yasui3, and Kohsuke Kudo1 | ||
1Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, 2Live Imaging Center, Central Institute for Experimental Animals, Kawasaki, Japan, 3Department of Pharmacology, Keio University School of Medicine, Tokyo, Japan |
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We evaluated the water kinetics of the brain of intoxication model mice to compare aquaporin-4-knockout (AQP4-KO) and wild-type (WT) control mice, using T2-weighted indirect MRI with 17O-labeled water. Eleven AQP4-KO and eight WT mice were scanned with 7T MRI using the RARE sequence. 17O-labeled water was administered intraperitoneally. The whole scanning took 540 phases and 45 min, and signals were converted to 17O concentrations. In ROIs of the brain parenchyma, steady-state 17O concentrations were slightly higher in AQP4-KO than in WT. The latest imaging method revealed that the deficiency of AQP4 might lead to water accumulation in the paravascular space. |
| 2043 | NAD+/NADH dysregulation and brain homeostasis in the gclm-KO mouse: towards biomarker identification for schizophrenia. | |
| Radek Skupienski1,2, Kim Quang Do1, and Lijing Xin2 | ||
1Center for psychiatric neurosciences, Lausanne University Hospital (CHUV), Prilly-Lausanne, Switzerland, 2Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland |
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Nicotinamide adenine dinucleotide is a key player of cell metabolism. Previously we demonstrated the feasibility of in vivo NAD measurement, by 31P-MRS, in mouse brain. Actually we established the profile of cerebral NAD+, NADH and NAD+/NADH in a mouse model relevant for schizophrenia and we followed the metabolites regulation during the development by a combination of 1H-31P-MRS. We highlighted redox dysregulation associated with glutathione deficit, from 20 to 250 days old animals. This study provides prospective for understanding the molecular mechanism affecting brain development and regulation together with identification of potential therapeutic biomarker relevant for the pathophysiology of schizophrenia. |
| 2044 | Early Brain Structural Development in Non-human Primate, Common Marmoset: A Longitudinal MRI study | |
| Akiko Uematsu1,2, Junichi Hata2, Makoto Fukushima2, Noriyuki Kishi2, Ayako Murayama2, Shinsuke Koike3, and Hideyuki Okano2,4 | ||
1Graduate School of Arts and Sciences, University of Tokyo, Tokyo, Japan, 2RIKEN CBS, Wako, Japan, 3Center for Evolutionary Cognitive Science, University of Tokyo, Tokyo, Japan, 4Keio University School of Medicine, Tokyo, Japan |
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We delineated gray and white matter growth pattern of non-human primate from infancy to childhood in comprehensive manner with longitudinal T1w. T2w, and DWI data. Integrating the analysis of these different contrast images provided a variety of information, showing robust but regionally heterogeneous growth pattern. Such information suggested the components that contribute to structural maturation might be different among regions. |