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Neuro Online Gather.town Pitches (No CME Credit)
Session Title

Quantitative Neuroimaging & Neurofluids I

Program # 2937 - 2950
Monday, 09 May 2022 | 09:15

Imaging in Parkinson's Disease

Program # 2951 - 2964
Monday, 09 May 2022 | 09:15

Imaging White Matter & Spinal Cord

Program # 2965 - 2979
Monday, 09 May 2022 | 09:15

fMRI & Connectivity in Healthy Conditions

Program # 2980 - 2994
Monday, 09 May 2022 | 09:15

Advanced Imaging in Neurology: Psychiatry & Epilepsy

Program # 2995 - 3010
Monday, 09 May 2022 | 09:15

White Matter & Nervous System I

Program # 3011 - 3024
Monday, 09 May 2022 | 09:15

fMRI I

Program # 3025 - 3039
Monday, 09 May 2022 | 09:15

White Matter & Nervous System II

Program # 3040 - 3053
Monday, 09 May 2022 | 09:15

Neurological Conditions I

Program # 3054 - 3068
Monday, 09 May 2022 | 09:15

Neurological Conditions II

Program # 3069 - 3080
Monday, 09 May 2022 | 09:15

Multiple Sclerosis, Alzheimer's & Dementia I

Program # 3252 - 3266
Monday, 09 May 2022 | 14:45

Resting-State fMRI & Novel fMRI Techniques

Program # 3321 - 3340
Monday, 09 May 2022 | 17:00

Neurological Conditions III

Program # 3341 - 3353
Monday, 09 May 2022 | 17:00

White Matter & Nervous System III

Program # 3354 - 3363
Monday, 09 May 2022 | 17:00

Quantitative Neuroimaging & Neurofluids II

Program # 3586 - 3602
Tuesday, 10 May 2022 | 09:15

fMRI & Connectivity in Disease

Program # 3603 - 3618
Tuesday, 10 May 2022 | 09:15

Advanced Imaging in Neurology: Brain Tumors

Program # 3619 - 3632
Tuesday, 10 May 2022 | 09:15

Gray Matter & Neurofluids I

Program # 3633 - 3647
Tuesday, 10 May 2022 | 09:15

Data Acquisition & Artefacts I

Program # 3648 - 3655
Tuesday, 10 May 2022 | 09:15

Imaging Head, Spinal Cord & Nerves

Program # 3873 - 3885
Tuesday, 10 May 2022 | 14:30

Neurodegeneration: Aging, AD & MS

Program # 3954 - 3964
Tuesday, 10 May 2022 | 16:45

Advanced Imaging in Neuropsychiatric & Neurodegenerative Diseases

Program # 3965 - 3976
Tuesday, 10 May 2022 | 16:45

Multiple Sclerosis, Alzheimer's & Dementia II

Program # 3977 - 3993
Tuesday, 10 May 2022 | 16:45

Quantitative Neuroimaging & Neurofluids III

Program # 4375 - 4384
Wednesday, 11 May 2022 | 14:30

Multiple Sclerosis

Program # 4512 - 4526
Thursday, 12 May 2022 | 09:15

Imaging Nerves, Head & Neck

Program # 4527 - 4541
Thursday, 12 May 2022 | 09:15

Structural & Functional Connectivity

Program # 4758 - 4769
Thursday, 12 May 2022 | 14:45

Quantitative Neuroimaging & Neurofluids IV

Program # 4831 - 4845
Thursday, 12 May 2022 | 17:00

Gray Matter & Neurofluids II

Program # 4846 - 4858
Thursday, 12 May 2022 | 17:00

Quantitative Neuroimaging & Neurofluids I

Gather.town Space: South West
Room: 3
Monday 9:15 - 11:15
Neuro
Module : Module 25: Gray Matter & Neurofluids

2937
Booth 1
A deep learning-based background field removal method for brains containing high susceptibility sources
Xuanyu Zhu1, Yang Gao1, Feng Liu1, ‪Stuart Crozier‬1, and Hongfu Sun1

1University of Queensland, Brisbane, Australia

Background field removal (BFR) is a critical step in quantitative susceptibility mapping (QSM). Eliminating the background field in brains containing high susceptibility sources, such as intracranial hemorrhages, is challenging due to the relatively large scale of the local field induced from these sources. This study proposed a new deep learning-based method, "BFRnet", and compared it with several conventional BFR methods in processing two simulated and two in vivo brain datasets. The BFRnet method was effective in background field removal for acquisitions of arbitrary orientations and performed significantly better than other methods in the regions with high susceptibility sources.

2938
Booth 2
Accelerating brain susceptibility weighted imaging using compressed-SENSE
Jinli Ding1, Liangjie Lin2, and Jiazheng Wang2

1Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2Philips Healthcare, Beijing, China

Susceptibility weighted imaging (SWI), acquiring both magnitude and phase information for tissues using a 3D gradient-recalled echo sequence, is advantageous to detect microhemorrhages and microvasculature and useful in diagnosing small vessel diseases etc., but can be suffering from the long acquisition time. This study evaluated the effectiveness of brain SWI accelerated by compressed SENSE (CS-SENSE), and the CS-SENSE factor 4 is recommended in routine practice. Besides, the CS-SENSE factor 10 maybe a fast surrogate for distinguishing CMBs but sacrificing SN-RN visualizations.

2939
Booth 3
Visualizing the habenula using high resolution MPRAGE, MP2RAGE and QSM at 3T MRI
BingYang Bian1, Lei Zhang1, Yueluan Jiang2, ZeChen Yu3, Zhuo Wang1, and HongChao Wang1

1The first hospital of Jilin University, changchun, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China, 3MR CS APP, Siemens Healthineers Digital Technology Co., Harbin, China

MPRAGE, MP2RAGE and QSM can clearly visualize the Hb compared to conventional T1WI. Due to its higher CNR, MP2RAGE and QSM could be considered for structural imaging in Hb morphology study. 

2940
Booth 4
Assessment of age-related changes of oxygen extraction fraction in of normal adults using QSM and quantitative BOLD
Jieyu Wang1, Junghun Cho2, Chen Zhang3, Yi Wang2, and Bing Yu4

1the Fourth Affiliated Hospital of China Medical University, Shenyang, China, 2Weill Cornell Medicine, New York, NY, United States, 3MR Scientific Marketing, Siemens Healthineers, Beijing, China, 4Shengjing Hospital of China Medical University, Shenyang, China

With aging, the brain undergoes comprehensive changes in its function and physiology, including oxygen consumption metabolism. In this study of healthy aging from 24-69, oxygen extraction fraction (OEF) mapping was generated using QSM and quantitative BOLD (QSM+qBOLD, QQ) processing of challenge-free 3D multi-echo gradient echo (mGRE). OEF values were found to increase with age only in specific gray matter brain regions (mainly in SomMot and SalVentAttn functional networks) and to decrease with age only in specific white matter brain regions (mainly Callosum ,cingulate,superior frontal blade).

2941
Booth 5
Post-Therapy cortical normalization for phonological processing in developmental dyslexia
Sunita Gudwani1,2, Manju Mehta3, Rajesh Sagar4, Madhuri Behari5,6, Vaishna Narang7, Sadanad Sadanad Dwivedi8, N.R. Jagannathan2, and S.Senthil Kumaran9

1Dept. of NeuroRehab, speech therapy and audiology, Escorts Heart Institute and Research Center, New Delhi, India, 2Former Dept. of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 3Former Dept. of Psychiatry (Psychology Unit), All India Institute of Medical Sciences, New Delhi, India, 4Dept. of Psychiatry, All India Institute of Medical Sciences, New Delhi, India, 5Dept. of Neurology, Fortis Hospital, Vasant Kunj, New Delhi, India, 6Former Dept. of Neurology, All India Institute of Medical Sciences, New Delhi, India, 7Former Dept. of Linguistics, School of Language, Literature and Culture Studies, Jawaharlal Nehru University, New Delhi, India, 8Dept. of Biostatistics, All India Institute of Medical Sciences, New Delhi, India, 9Dept. of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India

Dyslexia is a neurodevelopmental disorder with complex spectrum and continuum of cognitive deficits leading to academic and emotional life-long burden, so optimal remediation becomes essential and challenging. Pre- and post- functional imaging studies show the recovery changes in brain with rehabilitation, but can fMRI biomarkers be explored and utilized for customizing therapeutic strategies in dyslexia. In present study at baseline we randomly allocated dyslexic children to therapy (Rx) and waitlist (nonRx) groups. Based on the potential (positive and negative) neural-markers at baseline, we tailored cognitive modules for phonological intervention. Remediation resulted in improved performance and cortical normalization

2942
Booth 6
Alterations in ALPS index and choroid plexus volume after lumboperitoneal shunt in patients with idiopathic normal pressure hydrocephalus
Junko Kikuta1, Koji Kamagata1, Toshiaki Taoka2, Kaito Takabayashi1, Wataru Uchida1, Akihiko Wada1, Kaito Kawamura3, Chihiro Akiba4, Madoka Nakajima3, Masakazu Miyajima4, Shinji Naganawa5, and Shigeki Aoki1

1Department of Radiology, Juntendo University Graduate School of Medicine, Bunkyo-ku, Japan, 2Department of Innovative Biomedical Visualization, Graduate School of Medicine, Nagoya University, Nagoya, Japan, 3Department of Neurosurgery, Juntendo University Faculty of Medicine, Bunkyo-ku, Japan, 4Department of Neurosurgery, Juntendo Tokyo Koto Geriatric Medical Center, Koto-ku, Japan, 5Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan

Idiopathic normal pressure hydrocephalus (iNPH) is a condition resulting from impaired cerebrospinal fluid (CSF) absorption and excretion that is characterized by a triad of symptoms comprising cognitive decline, gait disturbance, and urinary incontinence. By improving CSF turnover through shunt surgery, symptoms of iNPH can become less severe. However, many mysterious points still exist in the mechanism of CSF dynamics in patients with iNPH. We examined alterations in ALPS index and choroid plexus volume after lumboperitoneal shunt (LPS) surgeries in patients with iNPH. Our results showed improvements in ALPS index and choroid plexus volume in these patients after LPS.

2943
Booth 7
Measurement of Cerebrospinal fluid and Interstitial Fluid Flow in Mouse Brain using Q-space Imaging
Satoshi Yatsushiro1,2, Anju Satou3, Mitsunori Matsumae4, Hideki Atsumi4, Tomohiko Horie5, and Kagayaki Kuroda1,3

1Human and Information Science, Tokai university, Hiratsuka, Kanagawa, Japan, 2BioView, Inc., Tokyo, Japan, 3Electrical and Electronic Engineering, Tokai university, Hiratsuka, Kanagawa, Japan, 4Neurosurgery, Tokai university, Isehara, Kanagawa, Japan, 5Radiological Technology, Tokai university hospital, Isehara, Kanagawa, Japan

To visualize cerebrospinal fluid (CSF) and interstitial fluid (ISF) flows, in this study, q-space imaging (QSI) based on 3-dimensional stimulated echo and echo planar imaging (3D STE-EPI) was performed for mouse brain. QSI can measure velocity of flow as µm/s order. The preliminary results showed the CSF and ISF flows in the mouse brain. In addition, the technique seemed to exhibit the CSF/ISF flows along the corpus callosum of the mouse brain. In the future, QSI with STE-EPI may quantitatively reveal the CSF and ISF flows in human brain.

2944
Booth 8
Correlation between GABA+ levels in mPFC and topological characters of EEG functional  connectivity network  during light sleep in young adults
Sihui Zhao1, Yanting Liu1, Yanan Gao1, bing Yu2, Mikkelsen Mark3, Hui Steve3, Edden A.E Richard3, and Chen Zhang4

1China Medical University, Shenyang, China, 2Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 4MR Scientific Marketing, Siemens Healthineers, Beijing, China

The aim of our study is to explore the relationship between GABA levels of medial prefrontal cortex (mPFC)and the topological characters of cerebral EEG functional connectivity network in young adults during sleep using Hadamard Encoding and Reconstruction of Mega-Edited Spectroscopy (HERMES) method.  Synchronous EEG-MRS data were acquired from 37 young adults.  GABA+ level in mPFC and the global topological characters of the EEG functional connectivity network were calculated. The results demonstrated a significant negative correlation between global efficiency of EEG functional connectivity network in delta bandand and GABA+ levels in mPFC during N2 sleep stage.

2945
Booth 9
Increased Brain Iron Deposition in Moderate and Severe Obstructive Sleep Apnea using Quantitative Susceptibility Mapping
Xinchun Li1, Peng Wang1, Qi Wan1, Yihao Guo2, Jianfeng Hu1, Yu Peng1, Xiaoying Xia1, Jieqiong Liu1, Xiaobin Xie1, and Mengzhu Wang3

1Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 2MR Collaboration, Siemens Healthineers Ltd., Guangzhou, China, 3MR Scientific Marketing, Siemens Healthineers, Guangzhou, China

In the current study, we assessed the possible alterations of iron accumulation in the brain of patients with Obstructive Sleep Apnea (OSA) using quantitative susceptibility mapping (QSM). We found that there was increased iron accumulation in the bilateral hippocampus for patients with OSA, compared to controls. And the QSM value of the bilateral hippocampus was related to the course of disease in patients with OSA. The QSM values of the right hippocampus were correlated with multiple clinical indicators and may therefore be used as potential biomarkers to further understand the pathophysiological mechanisms of moderate to severe OSA.


2946
Booth 10
Surface-based Cortical Network Analysis in Post-Stroke Dementia with Subcortical lesions
Wenwen Li1, Huaying Cai2, Linhui Ni2, Guocan Han2, Zhiyong Zhao1, and Dan Wu1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of radiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China

This study aimed to investigate alterations of cortical network in post-stroke dementia (PSD) patients with subcortical lesions using a surface-based morphometry analysis. We calculated nine cortical morphometric metrics and constructed the structural covariate network for each participant. Comparisons between groups showed that PSD and post-stroke nondemented (PSND) groups both displayed an increased local efficiency and a similar global efficiency compared with the normal controls group, and the cortical network in three groups all remained a small-world property. Moreover, we found PSD-specific decreases in gray matter volume and surface area in lateral occipital cortex and middle temporal gyrus.

2947
Booth 11
Clinical Feasibility of Compressed SENSE Artificial Intelligence Accelerated SWI in Cerebral Hemorrhage Imaging
Zhenzhen Shi1, Cong Ning1, Chang Zhai1, Dan Tong1, Yi Zhu2, and Ke Jiang2

1Radiology, The First Hospital Of Jilin University, Changchun, China, 2Philips Healthcare, Beijing, China

Susceptibility weighted imaging (SWI) is more sensitive than T2* gradient echo MRI in detecting intracranial hemorrhage, but its acquisition time is too long. The purpose of this study is to prospectively assess the clinical feasibility of Compressed SENSE Artificial Intelligence (CS-AI) SWI by comparing it with SENSE SWI and Compressed SENSE (CS) SWI. The results suggested that the CS-AI SWI with an acceleration factor 8 was able to reduce the acquisition time of SWI by 74.58% while maintaining the image quality and accuracy of the diagnosis of intracerebral hemorrhage, except for the diagnosis of cerebral microbleeds.

2948
Booth 12
A preliminary study of hemodynamic assessments of cerebral venous sinus stenosis using 4D flow MRI
hongwei zhou1, kexin zhao1, derui kong1, chong zheng1, yueluan jiang2, and xiaoye wang3

1the First Hospital of Jilin University, Chang Chun, China, 2MR Scientific Marketing, Siemens Healthineers, Bei Jing, China, 3MR Clinical Marketing, Siemens Healthineers Ltd, Bei Jing, China

4D flow MRI provides detailed insight into the alterations of hemodynamic,including quantitative assessment of flow parameters for the venous system. This technique overcomes the missing hemodynamic information of standard magnetic resonance imaging and the invasive disadvantage of digital subtraction angiography (DSA). Through data visualization and quantification, the particle tracking map is obtained and the peak velocities, wall shear stress (WSS) is calculated. The dynamics of venous sinus stenosis will change especially in severe area.

2949
Booth 13
Effect of Dobutamine Stress on Ocular Blood Flow Measurements Using 3D Pseudocontinuous Arterial Spin Labeling
linkun cai1, haijun niu1, pengling ren2, yawen liu1, tingting zhang2, jing li2, hao wang2, wei zheng3, hongxia yin2, and zhenchang wang1

1Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China, 2Beijing Friendship Hospital, Beijing, China, 3Chinese Academy of Sciences, Beijing, China

Dobutamine stress testing is a very widely used tool in cardiological investigation. However, little is known about the effect of dobutamine on adult ocular blood flow with clinical dosage. In this study, we infused dobutamine in human subjects and examined the effects of dobutamine on ocular blood flow using 3D pseudocontinuous arterial spin labeling(3D-pcASL). Dobutamine infusion significantly increased the ocular blood flow. And the heart rate and diastolic blood pressure were the main factors affecting the ocular blood flow.

2950
Booth 14
Subcortical Gray Matter Nucleus Lateralization of Amide Proton Transfer Weighted Signals in Young Healthy Subjects
Yuhan Jiang1, Yangyingqiu Liu2, Bingbing Gao2, Qingwei Song2, and Yanwei Miao2

1Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2the First Affiliated Hospital of Dalian Medical University, Dalian, China

Amide proton transfer weighted (APTw) imaging is a novel molecular imaging technique to acquire the proton exchanged signals from the amide in proteins or peptides to water. Previous studies discovered lateralization in the brain structure and function, including the subcortical gray matter nucleus. However, it is not clear whether APTw also has lateral advantage. In this study, we applied the automatic brain segmentation method to quantify the APTw signal values of subcortical gray matter nucleus in young healthy subjects. The increased APTw signals were present in the right side of the subcortical gray matter nucleus,which may suppose related with right-handedness.


Imaging in Parkinson's Disease

Gather.town Space: North West
Room: 4
Monday 9:15 - 11:15
Neuro
Module : Module 10: Neurological Conditions

2951
Booth 1
Stratified Parkinsonism classification based on multi-modality MRI
Yijun Leng1,2, Xueling Liu2, Daoying Geng1,2,3, Fengtao Liu4, Pu-Yeh Wu5, Yuxin Li2,3, and Liqin Yang2,3

1Academy for Engineering & Technology, Fudan University, Shanghai, China, 2Department of Radiology, Huashan Hospital, Shanghai, China, 3Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China, 4Department of Neurology, Huashan Hospital, Shanghai, China, 5GE Healthcare, Beijing, China

For differential diagnosis between PD and atypical parkinsonisms, we designed a stratified automated method based on SVM and multi-modality MRI, including T1WI, QSM and DTI. 163 patients (96 PD, 27 MSA, 40 PSP) and 65 healthy controls were recruited. Features including volume, cortical thickness, magnetic susceptibility, FA and MD of 124 ROIs were calculated for SVM classification. The result showed that SVM classification based on susceptibility enabled accurate differentiation of patients with parkinsonian disorders and controls, and classification of PD, MSA and PSP was allowed by using T1 and DTI.

2952
Booth 2
Region-specific neurovascular decoupling associated with cognitive decline in Parkinson’s disease
Song'an Shang1, Weiqiang Dou2, and Jingtao Wu3

1Nanjing First Hospital, Nanjing Medical University, Nanjing, China, 2GE Healthcare, MR Research China, Beijing, China, 3Clinical Medical College, Yangzhou University, Yangzhou, China

Cognitive deficits are prominent non-motor symptoms in Parkinson’s disease (PD) and have been involved with neurovascular unit. However, sufficient neuroimaging studies are lacked investigating the associated modulating mechanisms. This study aimed to identify the contribution of neurovascular decoupling to the pathogenesis of cognitive decline in PD by integrating informative data obtained from the blood oxygen level-dependent and arterial-spin-labeling approaches. The involvement of neurovascular decoupling in cognitive impairment in PD is regionally specific and most prominent in the visual-spatial cortices, which could potentially provide a complementary understanding for the pathophysiological mechanisms underlying cognitive deficits in PD.

2953
Booth 3
Structural and functional changes of the cerebellum in patients with Parkinson's disease: a VBM and rs-fMRI study
xiu Cheng1, jun Wang1, pengfei Zhang1, jing Zhang1, kai Ai2, and wanjun Hu1

1Lanzhou University Second Hospital, Lanzhou, China, 2Philips Healthcare, Xi'an, China

To investigate the structural and functional alterations of cerebellum in patients with Parkinson's disease (PD) using voxel-based morphometry and resting-state functional MRI. We analyzed alterations gray matter volume (GMV), regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF) in the cerebellum of PD patients. Furthermore, the correlation analysis between GMV, ALFF, ReHo values and clinical scale scores was performed. Our results showed that the structure and function of the cerebellum of PD patients are significantly different from healthy controls (HC), and these changes are significantly correlated with clinical scales scores, which suggested that the cerebellum plays an important role in PD.

2954
Booth 4
Gray matter myelin quantification in Parkinson’s disease based on MP2RAGE T1 mapping
Yu Shen1, Yan Bai1, Xianchang Zhang2, Yaping Wu1, Yu Luo1, Zhun Huang1, Xipeng Yue1, Menghuan Zhang1, and Meiyun Wang1

1Henan Provincial People's Hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthineers Ltd, Beijing, China

Quantitative R1(1/T1) imaging has been proposed as surrogate imaging biomarkers for myelin content in cortical gray matter. This study, using high resolution T1 maps generated by MP2RAGE sequence, quantified gray matter myelin in Parkinson’s disease (PD) patients and compared the values with those in healthy controls. The results revealed that myelin (represented by R1) was significantly decreased in PD in several cortical and subcortical brain areas, which may be anatomic evidence for the spectrum of symptoms in PD, such as deficits of memory, mood, and cognition. Myelin quantification based on MP2RAGE-T1 mapping may be a valuable biomarker for characterizing PD.

2955
Booth 5
Distinct patterns of tremor network microstructure for essential tremor and Parkinson’s disease
Thomas Welton1,2, Amadis Aliya Ong3, Septian Hartono1,2, Yao-Chia Shih4, Amanda Lee3, Eng-King Tan1,5, and Ling Ling Chan1,3

1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Graduate Medical School, Singapore, Singapore, 3Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 4Graduate Institute of Medicine, Yuan Ze University, Taiwan, Taiwan, 5Neurology, Singapore General Hospital, Singapore, Singapore

Differential diagnosis of essential tremor and Parkinson’s disease can be challenging due to overlapping clinical presentations, but these diseases differ in neuropathological features, which may be detected using diffusion spectrum imaging. We identified parts of a tremor-related cerebello-thalamo-cortical network based on diffusion spectrum imaging that differed among a cohort comprising essential tremor and Parkinson’s patients, and healthy-controls. The patient groups had minimally-overlapping areas of abnormal microstructure in the tremor-network, and these were significantly correlated with clinical and kinetic measures of tremor severity. A future DSI-based marker of tremor-network microstructure may aid in differential diagnosis of essential tremor and Parkinson’s disease.

2956
Booth 6
Gray and white matter alterations in different predominant side and type of motor symptom in Parkinson’ disease
Jingwen Chen1, Cheng Zhou1, Jingjing Wu1, Tao Guo1, Xueqin Bai1, Haoting Wu1, Xiaocao Liu1, Jiaqi Wen1, Zhengye Cao1, Yong Zhang2, Xiaojun Guan1, Xiaojun Xu1, and Minming Zhang1

1Radiology, The second affiliated hospital, Zhejiang University school of medicine, Hangzhou, China, 2GE Healthcare, Shanghai, China

It has been overlooked in clinical that there exists a complex relationship between laterality and motor symptoms in Parkinson’s disease (PD) and these factors may influence their motor and nonmotor symptoms in together. Here we found PD with left-side akinetic/rigid (L-AR) signs performed worst in clinical manifestations. And the underlying brain structure alterations was revealed severer damage in anterior cingulate and its connected fibers of right hemisphere by a multimodal imaging approach including cortical thickness and diffusion-weighted MRI measures. 

2957
Booth 7
Automated volumetry of amygdala subregions in Parkinson’s disease patients
mingrui qu1, bingbing gao1, yuhan jiang1, yangyingqiu liu1, yuan li1, qingwei song1, and yanwei miao1

1the First Affiliated Hospital of Dalian Medical University, Dalian, China

Cognitive impairment is very common in patients with Parkinson’s disease (PD). The amygdala in the limbic system of midbrain has been proved to play a unique role in cognitive function. However, there are almost no studies on changes in amygdala structure, especially the volume of amygdala subregions, in PD patients. In this study, automated volumetry of amygdala subregions in PD patients was performed and compared with healthy controls, and found that PD patients have amygdala subregions atrophy, especially in bilateral accessory basal nucleus, bilateral cortical nucleus and right medial nucleus.

2958
Booth 8
Altered Visual Network and Global Fluctuation in the Resting-state fMRI of Patients with Parkinson’s Disease
Destaw Bayabil Mekbib1, Weiying Dai2, Miao Cai3, Xiaoli Liu3, and Li Zhao1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China, 2Computer Science, Binghamton Univeristy, State University of New York, Binghamton, NY, United States, 3Neurology, Zhejiang Hospital, Hangzhou, China

Resting-state fMRI plays an increasing role in understanding the neural mechanisms of Parkinson's disease (PD). However, neural network alterations, regional and global signal associations are not fully understood in PD patients. Here, we studied the whole-brain neural networks including the inter-network and their correlations with the global fluctuation in 37 PD patients and 20 healthy controls. Our findings revealed that the visual cortex had reduced neural network connectivity in PD patients and altered connections from default mode network to other networks. Weaker correlations were observed between the global signal and regional networks in the PD patients than healthy controls.

2959
Booth 9
Predicting Peritumoral Edema Development after Gamma Knife Radiosurgery of Meningiomas Using Radiomics: A Multicenter Study
Xuanxuan Li1, Yiping Lu1, Pu-Yeh Wu2, Tonggang Yu3, and Bo Yin1

1Huashan Hospital, Fudan University, Shanghai, China, 2GE Healthcare, Beijing, China, 3Shanghai Gamma Hospital, Huashan Hospital, Fudan University, Shanghai, China

The aim of this study is to adopt machine learning and deep learning methods to predict the risk of post-GKS edema for meningiomas. 595 multicenter cases were included to train and validate 38 random survival forest (RSF) and DeepSurv models. The RSF model incorporating clinical, semantic, and ADC radiomic features achieved the best performance with a C-index of 0.861 in internal validation, and 0.780 in external validation. The derived nomogram had excellent discrimination and calibration. The proposed RSF model with a nomogram represents a non-invasive and cost-effective tool to predict post-GKS edema risks, thus facilitates personalized decision-making in meningioma treatment.

2960
Booth 10
Parkinson’s disease state modulates the effect of nigral iron deposition on the large-scale brain networks.
Jiaqi Wen1, Xiaojun Guan1, Tao Guo1, Jingjing Wu1, Xueqin Bai1, Cheng Zhou1, Haoting Wu1, Xiaocao Liu1, Jingwen Chen1, Zhengye Cao1, Yong Zhang2, Luyan Gu3, Jiali Pu3, Baorong Zhang3, Minming Zhang1, and Xiaojun Xu1

1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China, 2GE Healthcare, Shanghai, China, Shanghai, China, 3Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

In Parkinson’s disease (PD), nigral iron deposition exacerbates a-synuclein aggregation. In our study, we divided PD and normal controls (NC) into high iron group and normal iron group according to the median of nigral magnetic susceptibility of NC, respectively. ICA method was applied to separate brain large-scale networks. The PD*iron interaction effect on brain functional networks were investigated by mixed effect analysis. We found that PD disease status specifically moderates the effect of nigral iron deposition on the function of some regions in BGN and VN, which partially mediates the relationship between nigral iron deposition and disease severity.

2961
Booth 11
Optimization of TE and Postprocessing for Nigrosome-1 Imaging using Wave-CAIPI Susceptibility Weighted Imaging at 3T
Caixia Fu1, Youmin Zhang2, Qing Li3, Wei Liu1, Naying He2, Yu Liu2, Daniel Polak4, E. Mark Haacke 5, and Fuhua Yan2

1MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3MR Collaborations, Siemens Healthineers Ltd., Shanghai, China, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Radiology, Wayne State University, Detroit, MI, United States

In this work, Wave-CAIPI accelerated 3D SWI has been used to achieve whole brain imaging in about 3min 30s. Both short-TE and long-TE protocols were compared for the detection of the Nigrosome-1(N1) sign. The phase-mask formula and number of phase mask multiplications were adjusted to explorer their influence on the contrast-to-noise (CNR) of the N1 sign relative to adjacent tissues. The result showed that long-TE protocol had better CNR and made it easier to recognize the N1 sign. The adjusted phase-mask formula with an increased number of phase mask multiplications also helped to improve the CNR of the N1 sign. 

2962
Booth 12
Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson’s disease: an integrated MRI study
Song'an Shang1, Weiqiang Dou2, and Jingtao Wu3

1Nanjing First Hospital, Nanjing Medical University, Nanjing, China, 2GE Healthcare, MR Research China, Beijing, China, 3Clinical Medical College, Yangzhou University, Yangzhou, China

For Parkinson’s disease (PD), the time-varying properties of functional coherence and their coupling to regional perfusion are rarely elucidated. We aimed to investigate early disruption of dynamic regional homogeneity (dReho) pattern and neurovascular coupling (NC) in PD patients before onset of cognitive impairment and their classification performance. PD patients at early stage exhibited an impaired dynamic pattern of neuronal synchronization and disrupted NC. The features of CBF/dReho provided robust performance in differentiating PD from healthy controls. With this findings, the insights into early pathophysiological mechanism underlying PD from regional dynamic pattern and NC were reinforced.

2963
Booth 13
Multimodal imaging signatures of the epileptogenic zone
Hui Huang1, Siyu Yuan1, Miao Zhang2, Wei Liu3, Yibo Zhao4,5, Rong Guo4,5, Yudu Li4,5, Lihong Tang1, Zhi-Pei Liang4,5, Yao Li1, and Jie Luo1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Urbana, IL, United States, 5Beckman Institute for Advanced Sciences and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States

Accurate detection of the epileptogenic zone for surgical planning often relies on stereo-electroencephalography, which is limited by low spatial sampling. Development of noninvasive brain high resolution imaging to better identify epileptogenic zone is of great value. This study aimed to investigate the imaging signature for detection of epileptogenic zones among features extracted from structural, functional, and metabolic imaging using hybrid PET/MR scanner. Our results highlighted the value of combination between metabolic and functional imaging features.   

2964
Booth 14
Brain Dynamic Functional Connectivity are linked with Attention-Deficit/Hyperactivity Disorder Related Cognitive and Behavioral Dimensions
Lekai Luo1, Lizhou Chen1, Qian Li1, Ning He2, Yuanyuan Li2, Wanfang You1, Yuxia Wang1, Yaxuan Wang1, John A. Sweeney1,3, Lanting Guo2, Qiyong Gong1, and Fei Li1

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, 3Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States

Sparse canonical correlation analysis (sCCA) was used to delineate multivariate relationship between dynamic functional connectivity (dFC) and behavior or cognition scores in a cohort of children with and without Attention-Deficit/Hyperactivity Disorder (ADHD). We identified four distinct patterns of dFC, each corresponded to a specific dimension of behavior (inattention/hyperactivity, somatization) or cognitive function (inhibition and flexibility, fluency and memory). Altered dFC within the default mode network (DMN) and between DMN and sensorimotor network (SMN) were common to all dimensions.


Imaging White Matter & Spinal Cord

Gather.town Space: South West
Room: 4
Monday 9:15 - 11:15
Neuro
Module : Module 17: White Matter & Nervous System

2965
Booth 1
WM integrity of right AF in predicting language recovery of chronic poststroke aphasia after LF-rTMS treatment
Bing-Fong Lin1, Fei Hon1, Po-Yi Tsai2,3, and Chia-Feng Lu1

1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, Taipei, Taiwan, 2Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan, Taipei, Taiwan, 3School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, Taipei, Taiwan

Low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) provided promising results to facilitate the language recovery in stroke patients with non-fluent aphasia 1. The contralesional inhibitory LF-rTMS treatment can induce the functional reorganization within language networks and recovery of language function in chronic aphasic stroke 2, 3. This study evaluated the right microstructural integrity of the arcuate fasciculus before the intervention and its association with the language improvement after the LF-rTMS treatment.

2966
Booth 2
Fixel-Based Analysis of White Matter Degeneration in Patients with Progressive Supranuclear Palsy and Corticobasal Syndrome
Wataru Uchida1, Koji Kamagata1, Christina Andica1, Yuya Saito1, Kaito Takabayashi1, Akifumi Hagiwara1, Shohei Fujita1,2, Toshiaki Akashi1, Akihiko Wada1, Masaaki Hori3, and Shigeki Aoki1

1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Radiology, The University of Tokyo, Tokyo, Japan, 3Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan

Progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) are neurodegenerative disorders associated with corticobasal degeneration pathology. A previous study evaluated white matter (WM) alteration using diffusion tensor imaging; however, the details are unclear due to the crossing fiber. This study evaluated cross-sectional and longitudinal WM changes in PSP and CBS using fixel-based analysis. This study also demonstrated consistent cross-sectional and longitudinal WM degeneration with previous histopathological studies and higher sensitivity than classical magnetic resonance imaging findings in differentiating PSP and CBS. Our results suggest that FBA can be a biomarker to classify PSP and CBS and estimate disease progression.

2967
Booth 3
White matter microstructure alterations using Generalized Q-Sampling Imaging in Moderate and Severe Obstructive Sleep Apnea
Peng Wang1, Xinchun Li1, Qi Wan1, Wenjin Zou2, Yihao Guo3, Mengzhu Wang4, Jianfeng Hu1, Yu Peng1, Xiaoying Xia1, Xiaobin Xie1, and Jieqiong Liu1

1Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 2The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China, 3MR Collaboration, Siemens Healthineers Ltd., Guangzhou, China, 4MR Scientific Marketing, Siemens Healthineers, Guangzhou, China

In the current study, we assessed possible alterations of brain white matter (WM) microstructure in patients with obstructive sleep apnea (OSA) using generalized q-sampling imaging (GQI). We found higher normalized quantitative anisotropy values of the bilateral superior longitudinal fasciculus, uncinate fasciculus, fornix, and corpus callosum bundle in the OSA group vs controls, which were related to multiple clinical indices of OSA.

2968
Booth 4
Radiation-induced White Matter Abnormalities in Nasopharyngeal Carcinoma: Evaluation by DKI and NODDI
Yuhao Lin1, Xiaofei Lv2, Jiahui Liang2, Yanqiu Feng1, and Xinyuan Zhang1

1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China

Based on the multi-shell diffusion MRI data acquisition and tract-based spatial statistics (TBSS), we conducted a longitudinal study to explore the changing patterns of DKI and NODDI metrics after radiotherapy for nasopharyngeal carcinoma (NPC) patients. We found most of the significant regions showed a “self-recovery” mechanism but the temporal lobe regions show a progressive changing pattern over time after RT. Besides, we also found that the change of DKI metrics has a stronger dose-correlation than DTI and NODDI metrics. Our study indicates the DKI and NODDI metrics can provide more comprehensive brain microstructure changes compared with conventional DTI.

2969
Booth 5
Role of the superficial white matter in processing speed decline in cerebral small vessel disease
Shuyue Wang1, Fan Zhang2, Peiyu Huang1, Hui Hong1, Yeerfan Jiaerken1, Xinfeng Yu1, Ruiting zhang1, Qingze Zeng1, Yao Zhang1, Ron Kikinis2, Yogesh Rathi2, Nikos Makris2, Ofer Pasternak2, Minming Zhang1, and Lauren J. O’Donnell2

1The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, 2Harvard Medical School, Boston, MA, United States

We assess microstructural alterations in superficial white matter (SWM) in cerebral small vessel disease (CSVD) and evaluate their contributions to the decline in processing speed, which is the main dysfunction in CSVD. We identify that the significant decline in processing speed may relate to the involvement of WMH in the SWM under high burden of disease. The increased extracellular free water may be the main SWM microstructural change under low burden of disease. These observations suggest that the SWM may serve as a potential target for monitoring pathophysiological processes in CSVD. This study extends the current understanding of CSVD-related dysfunction.

2970
Booth 6
Structure-function relationships in the human hippocampus: new insights using track-weighted dynamic functional connectivity
Marshall A Dalton1, Jinglei Lv1, Arkiev D'Souza1, and Fernando Calamante1

1The University of Sydney, Sydney, Australia

The hippocampus is a brain structure central to a broad range of cognitive functions including episodic memory. In recent years, we have developed a greater understanding of the structural and functional connectivity of the human hippocampus. Despite these advances, we lack a detailed understanding of structure-function relationships of cortico-hippocampal connectivity. We addressed this gap by combining high-quality data from the Human Connectome Project with cutting-edge fibre-tracking and track-weighted dynamic functional connectivity methods to quantitatively characterise the relationship between anatomical and functional connectivity of the human hippocampus. Our results contribute to ongoing efforts to characterise structure-function relationships of the hippocampus.

2971
Booth 7
Quantitative assessment of neonatal white matter injury stiffness by virtual magnetic resonance elastography
Miaomiao Wang1, Congcong Liu1, Xianjun Li1, and Jian Yang1

1the first affiliated hospital of Xi'an Jiaotong university, Xi'an, China

Punctate white matter lesion (PWML) is the most common injury in neonates. Due to newborns are a vulnerable population, the limited imaging protocols are not sufficient to fully understand the injury. Le Bihan et.al recently proposed a virtual MR elastography (vMRE) method based on multiple b-values diffusion sequences, which is attractive for evaluation of brain development and injury. This study aims to quantitatively assess the stiffness of PWML using vMRE. Compared with white matter regions, a significant increased virtual sheer stiffness is observed in lesions, and it may be a feasible clinical evaluation of the pathophysiological state of brain tissue.

2972
Booth 8
Accelerating Myelin Water Content Quantification using Deep Non-Local Sparse Model
Bowen Li1, Huajun She1, Quan Chen2, Zhijun Wang1, and Yiping P. Du1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Radiology, Stanford University, Stanford, CA, United States

A grouping sparse coding (Group-SC) model is used in this study for the acceleration of myelin water content quantification. Images with improved quality are obtained using the Group-SC algorithm, in the aspect of minimal artefacts and good data consistency with fully-sampled labels. Myelin water fraction (MWF) maps reconstructed using Group-SC demonstrate more natural spatial distribution of myelin water in the brain. The proposed Group-SC algorithm has demonstrated its potential for the acceleration of the myelin water content quantification at R = 6.

2973
Booth 9
Inhomogeneous Magnetization Transfer (ihMT) Helps to Detect Multiple Sclerosis Plaques in The Spinal Cord.
Ryuna Kurosawa1, Hajime Yokota2, Takafumi Yoda1, Takayuki Sada1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Guillaume Gilbert4, Yoshitada Masuda1, and Takashi Uno2

1Department of Radiology, Chiba Univercity Hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Canada, Mississauga, ON, Canada

Demyelination assessment with MRI for multiple sclerosis (MS) is a reliable biomarker for monitoring disease progression. Recently, inhomogeneous magnetization transfer (ihMT) combined sequencing has been developed for myelin-specific imaging. The purpose of this study was to evaluate ihMT in delineating MS lesions in the spinal cord by comparing the conventional imaging methods. The lesion-to-white matter contrast-to-noise ratio (CNR) on ihMT was significantly higher than the other methods. The qualitative analysis revealed clarity of lesion detection, but false positives were a concern. Our results in MS patients suggest that ihMT may be a helpful sequence for lesion detection.

2974
Booth 10
Application of MRI in tracking and evaluating of SPIONS labeled stromal stem cells transplanted in traumatic spinal cord injury of beagle
Xiaoli Mai1, Jilei Zhang2, Junting Zou1, Yuanyuan Xie3, Bin Wang3, and Bing Zhang1

1Radiology Department, Nanjing Drum Tower Hospital, the affiliated hospital of Nanjing University Medical School, Nanjing, China, 2Philips Healthcare, Shanghai, China, 3Nanjing Drum Tower Hospital, Nanjing, China

Stromal cell transplantation plays an important role in the treatment of traumatic spinal cord injury (SCI). The multi-parameter MRI, including DTI, T2 , T2* mapping and QSM , of all beagles were performed before and after operation. We found that the transplanted stromal stem cells with Ruicun-labeled in the injured spinal cord could be quantified by QSM within 28 days after transplantation. FA value can be used to quantitatively evaluate the integrity of spinal fibers and the recovery of spinal nerve function. Thus, MRI can used to track  the dynamic changes of SPIONS labeled stromal stem cells transplanted.

2975
Booth 11
Radiomic approach for predicting short-term postoperative recovery of cervical spondylotic myelopathy based on NODDI and T2*WI
Meng-Ze Zhang1, Han-Qiang Ou-Yang1,2,3, Chun-Jie Wang1, Jian-Fang Liu1, Dan Jin1, Xian-Chang Zhang4, Qiang Zhao1, Xiao-Guang Liu1,2,3, Zhong-Jun Liu1,2,3, Ning Lang1, Xing-Wen Sun1, Liang Jiang1,2,3, and Hui-Shu Yuan1

1Peking University Third Hospital, Beijing, China, 2Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China, 3Beijing Key Laboratory of Spinal Disease Research, Beijing, China, 4MR Collaboration, Siemens Healthineers Ltd, Beijing, China

This study used radiomics based on T2*-weighted imaging (T2*WI) and neurite orientation dispersion and density imaging (NODDI) to predict the short-term recovery of patients with cervical spondylotic myelopathy (CSM). By classifying patients into good and poor outcomes based on the 3-month recovery rate, we found both T2*WI- and NODDI-based radiomic features to have good prognostic power. Furthermore, radiomic score based on NODDI was an independent predictor, whereas the other features were not. These findings suggest that radiomics based on NODDI has good prognostic power for CSM.

2976
Booth 12
The Diagnostic Value of Quantitative Analysis of Synthetic MRI, ASL and DWI in Grading Gliomas as Compared to Conventional MRI: A Preliminary Study
Xin Ge1,2, Xueying Huang2, Aijun Wang2, Kai Zhu2, Xiaocheng Wei3, Min Li4, Ying Shen1,2, Wenxiao Liu1,2, Peng Yong1,2, Ruirui Lv1,2, Xuhong Yang1,2, and Xiaodong Wang2

1Ningxia Medical University, Yinchuan, China, 2General Hospital of Ningxia Medical University, Yinchuan, China, 3GE Healthcare, MR Research, Beijing, China, Beijing, China, 4GE Healthcare, MR Enhancement Application, Beijing, China, Beijing, China

This work sought to investigate the performance of synthetic MRI, ASL and DWI in differentiating LGGs from HGGs as compared to conventional MRI. It was concluded that the T1 and PD from synthetic MRI can be used as novel quantitative imaging biomarkers for grading gliomas. Combining T1, PD, CBF and ADC may explore as an effective strategy to improve the ability for discriminating gliomas grade, and outperformed conventional approaches.

2977
Booth 13
Can MAP-MRI model be used for advance prediction of Grade II/III diffuse glioma genetics?
Peng Wang1, Yang Gao1, Qiong Wu1, Jinlong He1, Shenghui Xie1, Shaoyu Wang2, and Huapeng Zhang2

1Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China, 2Siemens Healthineers, Shanghai, China

Although surgery is still the most effective treatment for diffuse glioma, patients with unresectable primary, recurrent, or multicentric illness have few options. In some cases, genotyping predictions may be useful for targeted therapy. We performed pretreatment MRI scans and genetic sequencing of tumor tissue, as well as correlation analysis, to see if essential molecular genetic events linked with diffuse glioma may be predicted in advance and noninvasively. The findings revealed that the MAP-MRI model can reliably predict tumor genotyping with high robustness and diagnostic validity, implying that it could be useful in the development of more standardized treatment.

2978
Booth 14
Quantitative Evaluation of Spinal Cord Cine-MRI with Optical Flow Analysis
Tomohiko Horie1, Natsuo Konta1, Masateru Kawakubo2, Hiroshi Hamano3, Han Soo Chang4, Tetsu Niwa5, Kagayaki Kuroda6, and Mitsunori Matsumae4

1Department of Radiology, Tokai University Hospital, Isehara, Japan, 2Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Philips Japan, Shinagawa, Japan, 4Department of Neurosurgery, Tokai University School of Medicine, Isehara, Japan, 5Department of Radiology, Tokai University School of Medicine, Isehara, Japan, 66) Department of Human and Information Science, School of Information Science and Technology, Tokai University, Hiratsuka, Japan

There are still many unclear issues in the motions of the spinal cord. This study is the first report to use optical flow analysis for quantitative evaluation of spinal cord motions. In the study of healthy volunteers, we found large displacement of the upper thoracic spinal cord. The study of clinical cases revealed that the spinal cord displacement changed before and after surgery. Therefore, these results suggested that quantitative evaluation of spinal cord motions is feasible using optical flow analysis.

2979
Booth 15
Feasibility of 3D-MENSA sequence for qualitative assessment of lumbosacral plexus nerve root in comparison with 3D-MERGE MRI
Shuang Hu1, BoWen Hou1, YiTong Li1, Yao Zhang1, Weiyin Vivian Liu2, and XiaoMing Li1

1Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology, Wuhan,China, China, 2GE Healthcare, Beijing, China., China

Lumbar radiculopathy is a worldwide cause of disability. Mechanical compression of nerve root may lead to nerve inflammatory changes. Peripheral blood vessels overlapping with inflammatory changes can make radiologists confused and result misdiagnosis. To differ lesions from vessels in lumbosacral plexus nerve imaging, three-dimensional motion-sensitized driven equilibrium prepared rapid gradient echo (3D-MERGE) and three-dimensional multiecho in the steady-state acquisition (3D-MENSA) were investigated. Our study showed 3D-MENSA images showed greater nerve-to-vein CNR and CR than 3D-MERGE and the measurement repeatability of the same observer was good. Overall, 3D-MENSA sequence provided images with superior vascular suppression and offered better conspicuity of LSP.


fMRI & Connectivity in Healthy Conditions

Gather.town Space: South West
Room: 1
Monday 9:15 - 11:15
Neuro
Module : Module 1: fMRI

2980
Booth 1
Focused ultrasound-modulated left dorsolateral prefrontal cortex of the non-human primate assessed by functional MRI
Yu Xu1, Tingting He2, Haiming Wang2, Xiao Yu1, Boyi Qu2, Ssu-Ju Li3, and Hsin-Yi Lai4

1Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China, 2College of Biomedical Engineering & Instrument Science, Zhejiang University. Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University, Hangzhou, China, 3Department of Biomedical Engineering, National Yang Ming University, No. 155, Section 2, Linong Street, Taipei, 112, Taiwan, ROC. Department of Biomedical Engineering, National Yang Ming Chiao Tung University, No. 1001 Ta-Hsueh Rd., Hsinchu, 300, Taiwan, ROC, Taiwan, China, 4College of Biomedical Engineering & Instrument Science, Zhejiang University. Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University. Department of Neurology of Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China

Focused ultrasound (FUS) has shown its unique advantages in the field of non-invasive neuromodulation. The dorsolateral prefrontal cortex (DLPFC) is a key node in brain networks involved in cognitive, emotional and sensory processing. Here we evaluated the immediate and latency effects of DLPFC-FUS by functional magnetic resonance imaging (fMRI). The results showed that DLPFC-FUS induced a 3% increase in positive BOLD signal, and decreased FCs in bilateral primary and secondary visual cortices, supported by visual stimuli-evoked BOLD change. Moreover, FCs significantly decreased in left thalamus at 5-min post-FUS and in bilateral anterior cingulate cortex (ACC) at 30-min post-FUS. These results may help to elucidate the effect of FUS neuromodulation.


2981
Booth 2
Analysis of Dynamic Function Connectivity in a Normal Rat Model After Focused Ultrasound-Neuromodulation in VPM/VPL
Yu-Chieh Hung1, Yi-Cheng Wang1, Hao-Li Liu2, and Hsu-Hsia Peng1

1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

Focused ultrasound (FUS) has been considered as a noninvasive neuromodulation method. In addition to evaluate the functional connectivity (FC) by an average of BOLD signals across the whole scan, a dynamic FC (dFC) can help to comprehend the instant alternation of FC. We aimed to investigate the alterations of dFC after FUS-neuromodulation at VPM/VPL in a normal rat model.

We used k-means and dynamic network analyses to evaluate changes of dFC at Pre-FUS, Sham, 35-min, 3-hr, and 3-day for rats with FUS sonication at VPM/VPL. We found an instant effect of FUS-neuromodulation (35-min) and a recovering trend in 3-day.


2982
Booth 3
Establishing causal relationship between resting-state network and behavior
Zengmin Li1, Dilsher Athwal1, 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

  • Collective influence (CI) analysis provided optimal ranking list of nodes which fastest reduced the giant component of the resting-state networks (RSNs).
  • Post-learning inhibition of brain regions which were top CI nodes caused retrograde amnesia in the probe test eight days after spatial learning task.
  • Data-driven approaches were used to explore the role of RSNs in memory consolidation.

2983
Booth 4
Causal Evidence for a Mouse Homologue of the Human Salience Network via Default Mode Network Inhibition
Evan Houldin1, Zengmin Li1, and Kai-Hsiang Chuang1

1University of Queensland, Brisbane, Australia

Recent evidence indicates a putative mouse homologue of the human triple-network model, for which a salience network (SN) actively engages either internally-oriented default mode network (DMN) or externally-oriented central executive network (CEN). The interaction amongst these homologues has yet to be validated. This study probed SN responses to DMN inhibition in mice, during functional magnetic resonance imaging. We found that SN radically adjusts its connectivity profile with triple-network components, depending on which DMN hub is inhibited. This indicates that triple-network must be considered holistically, with SN serving an important role in overall triple-network connectivity.

2984
Booth 5
7 T CBV fMRI reveal cortical microcircuits of bottom-up saliency in the human brain
Chengwen Liu1, Chen Liu2, Li Zhaoping3, and Peng Zhang2

1Second Xiangya Hospital,Central South University, Changsha, China, 2Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 3University of T ̈ubingen, Max Planck Institute for Biological Cybernetics, T ̈ubingen, Germany

Using a slab-selective VASO sequence at 7 T, we investigate cortical depth-dependent CBV fMRI activity to orientation-defined saliency stimuli in early visual and parietal cortices of the human brain. Results show that the fMRI response of salient foreground bars is strongest in the superficial depth of V1, and peaks in the middle cortical depth of V2/V3 and IPS. These findings support the hypothesis that bottom-up saliency is initially created by iso-feature suppressions through lateral connections in V1 superficial layers, and then feedforward to parietal cortex to generate the attention priority map.


2985
Booth 6
Improving laminar functional specificity and sensitivity using combined spin- and gradient-echo EPI at 7 T
SoHyun Han1,2, Seulgi Eun1,2, HyungJoon Cho3, Kâmil Uludaǧ1,2, and Seong-Gi Kim1,2

1Center for Neuroscience Imaging Research, Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of

Both spatial specificity and sensitivity are important for high spatial resolution fMRI. In this study, we applied a filter designed based on the ΔR2*/ΔR2 ratio to enhance both the sensitivity and specificity of the BOLD signal using SAGE-EPI sequence. fMRI experiments during fist-clenching with touching with 0.8 mm isotropic resolution were performed and we directly compared the layer profile of SAGE-BOLD with that of GE- and SE-BOLD in the primary sensory and motor cortices. Vessel-size tuned SAGE-BOLD fMRI provided enhanced laminar specificity and sensitivity in the gray matter region.

2986
Booth 7
Laminar BOLD normalization using breath-hold challenge
Seulgi Eun1,2,3, SoHyun Han1,2, Kâmil Uludaǧ1,2,4, and Seong-Gi Kim1,2

1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 3Department of Biomedical Engineering, Kyung Hee University, Yongin, Korea, Republic of, 4Techna Institute & Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada

Limitations of the several developed laminar fMRI acquisition methods and pial and intra-cortical ascending vein contamination of the gradient-echo (GE) restrict the neural specificity of the depth profiles. Preserving the advantage of high sensitivity of the GE-EPI sequence, we propose a simple and intuitive model to normalize laminar BOLD with breath holding. Our normalization method increased specificity of the BOLD activation map and emphasized laminar BOLD signal changes in gray matter regions by suppressing signal changes from CSF. This approach takes into account the different vascular sensitivity across layers but may not fully account for the draining vein contamination.

2987
Booth 8
Use of Arterial Blood Contrast (ABC) to detect resting state networks at short TE
Fatemeh Taheriyan1, Zahrah Fazal1, Kevin Klein Gunnewiek1, Jenni Schulz1, Jose Marques1, and David G Norris1

1Radboud University, Donders Institute, Nijmegen, Netherlands

Arterial blood contrast  increase the cerebral blood volume contribution to brain activation studies by suppressing  grey matter signal using on-resonance magnetisation transfer. An increase in CBV will lead to an increase in signal, which is then complementary to BOLD. We performed multi-echo resting state fMRI in a group of 16 subjects and compared the results at TE=28ms with MT-off (standard BOLD) and TE=6.9 MT-on (ABC). Z-scores were higher for standard BOLD at all TEs but with higher variance in the z-score value. Dual regression results never the less showed high similarity activation maps for standard resting state networks.

2988
Booth 9
Multiplex network analysis reveals disrupted brain processing speed in children with prenatal alcohol exposure
Xiaoyun Liang1,2, Chun-Hung Yeh3,4, and Peter J. Anderson1,5

1Victorian Infant Brain Study (VIBeS), Murdoch Children's Research Institute, Melbourne, Australia, 2Florey Department of Neuroscience and Mental Health, University of Melbourne, Heidelberg, Australia, 3Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan, 4Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 5Turner Institute for Brain and Mental Health, Monash University, Clayton, Australia

In this study, we applied a method that integrates dynamic functional connectivity using the multiplex network approach to enhance the sensitivity to subtle alterations of functional connectivity on participants subject to PAE. Our results demonstrated its capability in characterizing subtle brain network changes in children with low-moderate PAE. The lower  values of the PAE T1-T3 group indicates that the information processing speed could have been compromised due to PAE. In line with literature, the distinct findings between male and female groups revealed that PAE may induce gender-dependent brain disruptions and males are more susceptible to PAE.

2989
Booth 10
Relationship between GABA+ level in occipital lobe and topological characters of cerebral EEG functional  connectivity network in young adults
Yanting Liu1, Sihui Zhao1, Yanan Gao1, Hui Steve2,3, Mikkelsen Mark2,3, A.E.Edden Richard2,3, Chen Zhang4, and Bing Yu1

1China Medical University, Shenyang, China, China, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA, Baltimore, MD, United States, 3F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA, Baltimore, MD, United States, 4MR Scientific Marketing, Siemens Healthineers, Beijing, China

We carried investigation to explore the relationship of GABA level of occipital lobe on topological and organizational properties of the entire brain using Hadamard Encoding and Reconstruction of Mega-Edited Spectroscopy (HERMES) method. Synchronous EEG-MRS data were obtained from forty healthy volunteers. GABA+ level and  the global topological topological characters of the EEG functional connectivity network were calculated. The results demonstrate that the GABA+ level of the occipital lobe showed a significant negative correlation with the small world index of EEG functional connectivity network in the EEG α band.

2990
Booth 11
Understanding auditory cognition and its underlying acoustic characteristics
Himanshu Singh1, S Senthil Kumaran1, and Ankeeta A1

1Department of NMR, All India Institute of Medical Sciences, Delhi, India

Auditory working memory is associated with sound pressure level for perception of information. However, its acoustic characteristics that represent information is not well understood. We used 1-back and 2-back auditory working memory tasks and acoustic characteristics (including pure tone assessment, audiometric threshold) to understand cognitive connectome with respect to frequency. This study explores the association of frequency characteristics underlying semantics necessary to understand auditory cognition. 

2991
Booth 12
Auditory functional MRI in the conventional pig at 1.5T
Paul COUDERT1,2, Pierre Antoine ELIAT3,4, Yann SERRAND3, Nicolas COQUERY3, Gwenole TANGUY1,2, Stéphane LAURENT1,5, Hervé SAINT-JALMES4,6, David VAL LAILLET3, and Benoit GODEY1,2

1ENT, CHU of Rennes, Rennes, France, 2INSERM, MediCIS, University Rennes 1, Rennes, France, 3INRAE, NuMeCan 1341, University Rennes 1, Rennes, France, 4PRISM, CNRS, INSERM, BIOSIT, Univ Rennes, Rennes, France, 5School of audioprosthesis of Fougères, Université Rennes 1, Fougères, France, 6INSERM, LTSI UMR 1099, University Rennes 1, Rennes, France

This work presents a functional MRI model to study the activation of central auditory pathways in a pig model at 1.5T. The conventional pig is a good model due to its anatomical similarity to humans, and therefore could be relevant to study and understand brain responses to auditory stimulations.

2992
Booth 13
Functional connectome-based brain features are related to hopelessness in healthy adolescents and young adults
Xin Xu1, Han Lai1, Cheng Yang1, John Sweeney1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan Uinversity, Chengdu, China

The neural correlations that characterize hopelessness may help identify brain mechanisms and individuals at risk of depression and suicide. Here, we examined the functional connectivity (FC) patterns of resting state associated with hopelessness in healthy later adolescents and young adults by using CPM. We found that the level of hopelessness was negatively correlated with the FC between the right MTG and the bilateral PoG and PrG, as well as the FC between the right cerebellum VI and the left thalamus. The finding suggested that cortical-cerebellum networks underlying negative future expectation processing characterized hopelessness.

2993
Booth 14
Effect of caffeine on cerebral hemodynamic response: The modulation of dietary caffeine consumption
Shin-Lei Peng1, Lok Wang Lauren Chu1, and Feng-Yi Su2

1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan, China Medical University, Taichung, Taiwan, 2Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan

The main aim of this study was to characterize the acute effect of caffeine on cerebral hemodynamic responses in participants with different caffeine consumption habits. The non-habitual group exhibited a larger degree of vasoconstriction and thus diminished the ability to dilate upon stimulation. As the vessel dilation ability has been considered as a covariate to explain variabilities in fMRI signals, our results may suggest that the suppressed BOLD response to a visual stimulation in low-caffeine-level users could be partially attributed to the decreased vascular reactivity altered by the baseline perfusion.

2994
Booth 15
The structure-function coupling of aging brain
Hui Zhang1,2, Peng Cao1, Henry K.F. Mak2,3, and Edward S. Hui4

1Diagnostic Radiology, The University of Hong Kong, Pokfulam, Hong Kong, 2Alzheimer's Disease Research Network, The University of Hong Kong, Pokfulam, Hong Kong, 3The University of Hong Kong, Pokfulam, Hong Kong, 4Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

We aim to investigate the effect of aging, sex, years of education, total cognition, and the disease burden of small vessel disease, the most cause of vascular dementia, on not only the coupling of the entire brain, but also the coupling of intra and inter-functional networks. We have demonstrated varying effect of sex, years of education and total cognition on global and intra/inter-network couplings.


Advanced Imaging in Neurology: Psychiatry & Epilepsy

Gather.town Space: North West
Room: 3
Monday 9:15 - 11:15
Neuro
Module : Module 10: Neurological Conditions

2995
Booth 1
Use lesion network localization to locate related brain lesions in incidental white matter lesions children with verbal comprehension delay
Xiaoyu Wang1, Mengxuan Li1, Miaomiao Wang1, Congcong Liu1, Xianjun Li1, and Jian Yang1

1Radiology, The first afflicted hospital of Xi'an Jiaotong University, Xi'an, China

Incidental white matter lesions (IWMLs) is a common disease in children with an incidence rate between 1.9% - 20%. Locating the brain lesions that might be related to the decline in verbal comprehension by overlapping lesion-associated networks can help define the possible response lesion. Our finding would help pediatricians to recognize the significant IWMLs that could potentially cause language delay in children. Thus, an early intervention can be applied to prevent the occurrence and progression of verbal comprehension decline in children.

2996
Booth 2
Lesion assessment in multiple sclerosis using a two-compartment spherical mean technique
Stefan Eggenreich1, Lukas Pirpamer1, Michael Khalil1, Christian Enzinger1, and Stefan Ropele1

1Department of Neurology, Medical University of Graz, Graz, Austria

Various diffusion-based approaches were suggested for the characterization of lesional tissue in MS-patients. The multi-compartment spherical mean technique (SMT) has been proposed as a way to investigate microscopic diffusion properties in multiple water compartments. However, the potential of SMT for lesion characterization remains unclear. We investigated diffusion-based SMT properties in active and chronic lesions in 58 MS patients and related them to conventional diffusion tensor imaging (DTI). We found that SMT allows a more specific characterization of MS-lesions than DTI and provide evidence that SMT can be considered as a sensitive and robust measure for myelin content in MS patients.

2997
Booth 3
Correlation between hippocampal subfields volume and white matter hyperintensity in patients with type 2 diabetes mellitus
Yangyingqiu Liu1, Weiwei Wang1, Yuhan Jiang1, Ailian Liu1, and Yanwei Miao1

1Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China

Volume of hippocampal subfields in patients with type 2 diabetes mellitus(T2DM) was quantitatively assessed, and its’correlation to white matter hyperintensity (WMH) grade was also analyzed. The results show that the severity of WMH in T2DM patients may affect the atrophy of hippocampal subfields.

2998
Booth 4
Machine Learning based Structural and Diffusion MRI to Identify Suicide Risk in Depressed Patients
Huiru Li1, Huawei Zhang1, Li Yin2, Zhiyun Jia1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan Universit, Chengdu, China, 2Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China

In this study, we used 5 machine learning algorithms with structural and diffusion MRI to classify suicidal risk in depressed patients and the best performance was acquired by support vector machine. In addition, the most important 10 features were most located in fronto-temporal–parietal regions. This study found a classification model using MRI data can help diagnosis and assess suicidal risk in depressed patients.

2999
Booth 5
Thalamus regulates emotional performance in different pathways with CSVD involved
Bei Wang1, Cen Guo2, He Wang1,3, Yan Han2, and Ying-Hua Chu4

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Department of Neurology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China, 4MR Collaboration, Siemens Healthineers Ltd., Shanghai, China

With the help of 7T Imaging, we investigated the association between the thalamic anterior vascularization patterns and emotions, including depression and anxiety. Cerebral small vessel diseases were considered as a risk factor for emotional performance. The thalamic anterior vascularization pattern was found association with depression and anxiety in subjects without CSVD burden. In the CSVD group, the thalamic volume and cortex thickness in pars triangularis, rostral middle frontal and superior frontal were found significantly correlated with both HAMD and HAMA test scores. It suggests the pathway of the thalamus regulating emotion changes with the development of CSVD.

3000
Booth 6
Aberrant cortical gyrification in adolescent major depressive disorder
Weijie Bao1, Lingxiao Cao1, Ruohan Feng1,2, Yingxue Gao1, Hailong Li1, Xinyue Hu1, Hui Qiu1, Kaili Liang1, Zilin Zhou1, and Xiaoqi Huang1,3

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of radiology, the Thrid Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China, Mianyang, China, 3Psychoradiology Research Unit of the Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, Sichuan, China, Chengdu, China

Evidence has emerged to suggest the important role of cortical gyrification morphology in adult major depressive disorder (MDD). However, little is known about how the altered cortical gyrification contribute to adolescent patients who is at a critical period of brain development. We address this gap by examining the difference of local gyrification index (LGI) between adolescent MDD patients and HCs. We found that MDD patients showed significant increased LGI in the left PCC and bilateral lingual gyrus, which characterize the neurobiological mechanisms of adolescent MDD and may be important to understand the developmental effect of this disorder.

3001
Booth 7
Using graph convolutional network modeling to characterize functional network disruption in individuals with major depressive disorder
Kun Qin1, Du Lei2, Ziyu Zhu2, and Qiyong Gong1

1West China Hospital of Sichuan University, Chengdu, China, 2University of Cincinnati College of Medicine, Cincinnati, OH, United States

Few previous studies considered brain network architecture when establishing machine learning models to identify major depressive disorder (MDD). Based on a large, multi-site dataset including 1586 participants, this study aimed to use novel graph convolution network (GCN) to distinguish MDD patients from controls, identify MDD subtypes and characterize related network disruption. We found that GCN enabled excellent classification performance of over 80% accuracy. Besides, shared and distinct disrupted network patterns were identified in first-episode drug-naive and recurrent patients. These findings support the feasibility and effectiveness of network-based GCN classier, illustrating the utility of GCN for detecting disrupted network topology.

3002
Booth 8
Functional Imaging of Body Image Distortion In Anorexia Nervosa: Overweight vs.  Underweight
Yagmur Karakus Aydos1, Dicle Dovencioglu2, Kader Karlı Oguz3, Pınar Ozdemir4, Melis Pehlivanturk Kızılkan5, Nuray Kanbur5, Dilek Unal1, Kevser Nalbant1, Fusun Cetin Cuhadaroglu1, and Devrim Akdemir1

1Child and Adolescent Psychiatry, Hacettepe University, Ankara, Turkey, 2Psychology, Middle East Technical University, Ankara, Turkey, 3Radiology, Hacettepe University& Bilkent University UMRAM, Ankara, Turkey, 4Bioistatistics, Hacettepe University, Ankara, Turkey, 5Adolescent Health, Hacettepe University, Ankara, Turkey

Body image disorder is the core symptom of Anorexia Nervosa (AN). Our research focuses on a group of adolescent patients diagnosed with AN to investigate neurobiological aspects of body image distortion, comparing the results with healthy control (HC) and major depression (MD) groups. We planned a block-design task in fMRI by using participants' original and distorted overweight and underweight images. We applied General Linear Models (GLM) for whole-brain analyses and examined correlations of the findings with behavioral data. As a result, AN patients differentiated when evaluating their underweight images. However, all adolescents had similar activations for overweight conditions. 

3003
Booth 9
Application of quantitative magnetic resonance imaging in the diagnosis of autism in children
Shilong Tang1 and Lisa Nie2

1Children's Hospital of Chongqing Medical University, Chongqing, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China

Purpose: To explore the application of quantitative magnetic resonance imaging in the diagnosis of autism in children. Methods:  All the children were scanned using head MRI conventional sequences, 3D-T1,DKI, ESWAN and 3D-pcASL sequences. The QSM, CBF and brain microstructure of each brain area were compared between the groups, and correlations were analyzed. Results: The frontal lobe, temporal lobe and hippocampal regions may be the first areas to show microstructural changes in autistic children . Conclusion: Quantitative magnetic resonance imaging can shows the abnormal changes of brain microstructural in children with autism .

3004
Booth 10
A multimodal meta-analysis of regional functional and structural brain abnormalities in obsessive-compulsive disorder
Zibin Yang1, Shu Xiao1, Long Qian2, and Ying Wang1

1Medical Imaging Center, First Affiliated Hospital of Jinan, Guangzhou, China, 2GE Healthcare, Beijing, China, Beijing, China

Numerous neuroimaging studies have revealed abnormalities in specific brain regions in obsessive-compulsive disorder (OCD), but results have been inconsistent. We conducted a whole-brain voxel-wise meta-analysis on resting-state functional imaging and VBM studies between OCD patients and HCs by using Seed-based d Mapping (SDM) software. The meta-analysis demonstrated that OCD exhibits similar abnormalities in both function and structure in the prefrontal and insula. Few regions exhibited only functional or only structural abnormalities in OCD. These results expand the current understanding of functional and structural brain abnormalities in OCD patients, which would provide additional potential targets for therapeutic intervention.

3005
Booth 11
Alteration in White Matter Microstructural Integrity and Network Differentiate Drug-naïve Obsessive compulsive disorder and Healthy controls
Suming Zhang 1, Xinyu Hu2, Xuan Bu2, Hailong Li1, LingXiao Cao2, Jing Liu2, KaiLi Liang2, Xue Li3, and Xiaoqi Huang2

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu City, China, 2Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, ChengDu City, China, 3College of Physics, Sichuan University,Chengdu, China, Chengdu City, China

We investigated the alteration of white matter in obsessive compulsive disorder from voxel-level, tractography-level and connectome-level by combining analysis of TBSS, AFQ and graph theory. TBSS and AFQ revealed widespread changes in WM.  Network-based statistic (NBS) analysis demonstrated decreased structural connectivity in patients mainly comprising frontal, temporal, limbic areas, which belong to DMN, FPN, limbic, SMN and VAN network. Along with regions commonly described in the CSTC model of pathophysiology, our results indicate an involvement of white matter in frontal-temporal and limbic regions to differentiate OCD patients and healthy controls, supporting their importance for neurobiological alterations in OCD.

3006
Booth 12
Simultaneous PET-MRI reveals differences in aerobic glycolysis in temporal lobe versus extra temporal lobe epilepsy
Qikai Qin1,2, Miao Zhang3, Biao Li3,4, and Garth John Thompson1

1iHuman Institute, ShanghaiTech University, Shanghai, China, 2School of Life Science and Technology, ShanghaiTech University, Shanghai, China, 3Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 4Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Ruijin Center, Shanghai, China

Locating epileptic foci is critical for surgery in drug-resistant epilepsy. However, conventional methods (MRI, PET, SEEG) often cannot provide sufficient information alone. We have developed a new method, relative oxygen-glucose index (OGI), based on simultaneous PET and calibrated fMRI, which we used as a biomarker to locate epileptic foci during inter-ictal period. Relative OGI reflects aerobic glycolysis relative to global levels, which is useful as many diseases are characterized by metabolic pathway alterations. In this study, we not only demonstrate its potential in foci localization in epilepsy, but also distinguish temporal-lobe and extra-temporal-lobe epilepsy based on their different pathogenesis.

3007
Booth 13
Clinical Value of Synthetic MRI and DWI in the diagnosis of Hippocampal Sclerosis in medial temporal lobe Epilepsy
Yucai Bai1, Jian LI1, Xiaocheng Wei2, Yaoxing Ma1, and Bing Chen1

1General Hospital of Ningxia Medical University, Ningxia yinchuan, China, 2GE Healthcare, Beijing, China

The purpose of this study is to explore the value of different quantitative parameters derived from Synthetic MRI and combined with DWI in the diagnosis of hippocampal sclerosis. It was concluded that the values of T1, T2 and ADC in the hippocampal sclerosis were significantly higher than those in the normal control group .In addition, the AUC of the combined model of T2 and ADC was 0.96, which was higher than that of ADC (AUC 0.884) or T2 alone (AUC 0.952). Its sensitivity, specificity, positive predictive value and negative predictive value were 0.95,0.91,0.81,0.98 respectively.

3008
Booth 14
Abnormal dynamic functional connectivity in new-onset, drug-naïve adolescent idiopathic generalized epilepsy
Yizhi Yuan1,2, Yuting Wang2,3, Jingping Mou3, Lan Mei2,3, Chunyang Liu3, and Lihua Qiu1,2,3

1Department of Radiology, Chengdu Medical College, Chengdu, China, 2Department of Radiology, The Second People’s Hospital of Yibin, Yibin, China, 3Department of Radiology, Southwest Medical University, Luzhou, China

Dynamic functional connectivity (dFC) is a newly developed analysis strategies which could provide novel understandings of the pathophysiological mechanisms of neuropsychiatric disease. 45 adolescents diagnosed with IGE and 32 well-matched healthy controls completed this study using dynamic functional connectivity (dFC). The decreased dFC between two seed regions(MCC and ParaHipp) and PCC and IPL were part of default mode network(DMN). The impaired DMN in adolescent IGE patients suggest dFC might be more sensitive to reflect the changes of brain function in the early stage of disease and dFC analysis was a promising avenue to deepen our understanding of this disease. 

3009
Booth 15
Correction of Gibbs ringing artifact improves visualization of epileptogenic pathology
Robert Elton Smith1,2, Eric Pierre1, Graeme Jackson1,2,3, and David Vaughan1,2,4

1Florey Institute of Neuroscience & Mental Health, Heidelberg, Australia, 2Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia, 3Department of Medicine, Austin Health, Heidelberg, Australia, 4Department of Neurology, Austin Health, Heidelberg, Australia

We evaluate the utility of a recently-proposed method tailored for the removal of Gibbs ringing artifacts in 3D MRI data, by applying it to high-resolution isotropic T2-weighted data acquired during the Australian Epilepsy Project (AEP) pilot. The filter is highly effective at removing this known artifact whilst preserving pathological detail. We therefore encourage its uptake in not only the radiological assessment of the Epilepsies, but any 3D imaging context where the manifestation of Gibbs ringing may be detrimental. 

3010
Booth 16
Lateralization of Memory Function in Temporal Lobe Epilepsy using Scene Memory fMRI
William Tackett1, Dawn Mechanic-Hamilton1, Sandhitsu Das2, Kathryn Davis1, and John Detre1,2

1Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Surgery to treat mesial temporal lobe epilepsy (TLE) offers freedom from seizures but risks postsurgical memory decline. Lateralizing memory function is essential for mitigating the risk of resecting “eloquent” cortex. Memory laterality has traditionally been assessed using the Wada test, but it is invasive and poses its own risks. The noninvasive method of functional magnetic resonance imaging (fMRI) has become a possible alternative. However, questions remain about fMRI’s reliability in lateralizing memory. Our group has shown that a scene memory task is capable of activating hippocampus and lateralizing memory function. Here, we present an improved version of that experimental paradigm.


White Matter & Nervous System I

Gather.town Space: South West
Room: 5
Monday 9:15 - 11:15
Neuro
Module : Module 17: White Matter & Nervous System

3011
Booth 1
Microscopic Fractional Anisotropy Estimation of Spinal Cord in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder
Masaaki Hori1,2, Kouhei Kamiya1,2,3, Akifumi Hagiwara2, Kazumasa Yokoyama4, Issei Fukunaga5, Sano Katsuhiro2, Koji Kamagata2, Murata Katsutoshi6, Shohei Fujita2, Christina Andica2, Akihiko Wada2, Julien Cohen-Adad7, and Shigeki Aoki2

1Radiology, Toho University Omori Medical Center, Tokyo, Japan, 2Radiology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 3Radiology, Tokyo University, Tokyo, Japan, 4Neurology, Faculty of Medicine, Juntendo University, Tokyo, Japan, 5Radiological Technology,, Faculty of Health Science, Juntendo University, Tokyo, Japan, 6Siemens Japan K.K., Tokyo, Japan, 7NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada

We investigated the microstructural changes in the spinal cords of patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) using micro fractional anisotropy (μFA) derived from both double diffusion encoding (DDE) and 2-shell single diffusion encoding data with spherical mean techniques (SMT). There was no significant difference in μFA between MS and NMO. SMTs were not correlated with μFA derived from DDE. Therefore, SMT may be better treated as a separate diffusion MRI metric from μFA to investigate the microstructural alterations of spinal cord in patients with MS and NMOSD in vivo.

3012
Booth 2
Test-retest repeatability of MRI radiomics features in head and neck region using 3D-T1w-TSE and 3D-T2w-TSE: a prospective multi-scan study
Cindy xue1,2, Jing Yuan1, Yihang Zhou1, Oilei Wong1, Kin Yin Cheung3, and Siu Ki Yu3

1Research Department, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong, 2Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Medical Physics Department, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong

Radiomics has been increasingly used as potential quantitative imaging biomarkers for head and neck cancer diagnosis and treatment. However, the test-retest repeatability of radiomics features in the head and neck (HN) region is rarely investigated. This study aims to investigate the test-retest repeatability of MRI radiomics features in HN. Radiomics features were extracted from 15 volunteers receiving 4 re-positioned MRI scans with thermoplastic mask immobilization and flexible coils using 3D-T1w-TSE and 3D-T2w-TSE. The results found that test-retest repeatability of MRI radiomics features varied dependent on tissues and pulse sequences. Only a small percentage of radiomics features showed excellent test-retest repeatability.

3013
Booth 3
Micro- and macro-structural alterations of white matter following sleep deprivation: a longitudinal fixel-based analysis
Chunxiang Jiang1,2,3, Marco Bigica3, Ilenia D’Onofrio3, Zhishan Liu3, Lijuan Zhang1, and Chen Song3,4

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 4University of Wisconsin-Madison, Madison, WI, United States

We examined the effect of sleep deprivation (SD) on human brain white matter(WM) using advanced fixel-based analysis. MRI data collected at four morning time points (7-8am, before and after SD, one night recovery and 3 days recovery). Compared to the session before SD, several WM tracts involving in sleep and wakefulness regulation, memory consolidation and emotion response showed varied fiber density (FD), fiber cross-section (FC) and the combined measure of FD and FC (termed FDC) at different time points. These findings demonstrated the heterogeneous sensitivity of WM tracts in response to SD and the microstructural homeostasis.

3014
Booth 4
Exploring Development Trajectories of White Matter through MR imaging-based Virtual Elastography in Children
Congcong Liu1, Miaomiao Wang1, Xianjun Li1, Yao Ge1, and Jian Yang1

1the Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

Characterizing development trajectories of white matter (WM) is vital for identifying causes of neurodevelopmental disorders. Besides DKI, MRE depicted mechanical properties of brain as a sensitive technique. But WM development trajectories of children were lack of researches on MRE. Therefore, we aimed to investigate age-related development of WM based on virtual elastography, comparing with DKI. We found virtual shear stiffness of WM was positively correlated with age, particularly presenting rapid-growth period of WM before 4-years old, consistent with changes of MK, FA. Virtual elastography may be potentially a valuable technique for depicting WM development trajectories, complementary to diffusion metrics.

3015
Booth 5
Application of Deterministic Tractography Analysis Using SIGMA atlas: Stroke Model
Sang-Jin Im1, Ji-Yeon Suh1, Jae hyuk Shim1, and Hyeon-Man Baek1

1Lee Gil Ya Cancer and Diabetes Institute, Incheon, Korea, Republic of

Unlike image analysis studies with human subjects, where various programs have been developed and validated to provide a complete assessment and step-by-step work procedure, methods for analyzing image data using MRI in preclinical research settings have not been agreed upon. Therefore, in this study, for the high-accuracy SIGMA atlas, we present a deterministic tractographic analysis pipeline that can perform detailed structural segmentation of the rat brain and confirm structural connectivity based on the segmented regions.

3016
Booth 6
Pyramidal tract visualization ability of automatic brain white matter extraction software in patients with brain arteriovenous malformations
Yuichi Suzuki1, Shinya Yuki2, Tsuyoshi Ueyama1, Kentaro Sakata1, Takahiro Iwasaki1, Nobuhito Saito2, Hideyuki Iwanaga1, and Osamu Abe1,3

1Radiology Center, The University oh Tokyo Hospital, Tokyo, Japan, 2Department of Neurosurgery, The University oh Tokyo Hospital, Tokyo, Japan, 3Department of Radiology, The University oh Tokyo Hospital, Tokyo, Japan

There are no reports on the use of TractSeg in patients with brain arteriovenous malformations (BAVMs). This study aimed to investigate the effect of the presence of BAVMs on TractSeg findings of the corticospinal tract (CST) and their clinical usefulness. In case of BAVMs through which the CST runs, the visualization was affected, but in most cases, tractography reconstruction was possible. In case of BAVMs through which the CST does not run, the same results as that of normal volunteers were obtained.

3017
Booth 7
Disruption on specific segments of uncinate fasciculus in first-episode drug-naïve adolescent depression
Kaili Liang1, Ruohan Feng1, Xuan Bu1, Suming Zhang1, Yingxue Gao1, Weijie Bao1, Lingxiao Cao1, Jing Liu1, Hailong Li1, Lianqing Zhang1, and Xiaoqi Huang1

1Huaxi MR Research Center (HMRRC), Functional and molecular imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

We aimed to measure diffusion parameters along the uncinate fasciculus and examine the specific and focal alterations of the uncinate fasciculus in first-episode and drug-naïve patients with major depressive disorder in adolescents by using a tract-based quantitative technique. Notably, we found the opposite alterations of the diffusion metrics in the insular and frontal segments of left uncinate fasciculus  in adolescents with depression. It will help us to better understand the neurobiological mechanisms of adolescent depression and optimize adolescent-specific treatments for depression.

3018
Booth 8
Characterising the Common Wiring of the Human Brain
Mai Phuong Ho1, Fernando Calamante1,2,3, and Jinglei Lv1,2

1School of Biomedical Engineering, University of Sydney, Sydney, Australia, 2Brain and Mind Centre, University of Sydney, Sydney, Australia, 3Sydney Imaging, University of Sydney, Sydney, Australia

To compare white matter fibre tracks between individuals or within the same individual over time, a diffusion MRI tractography template is essential. Tractography template describes the location and orientation of fibre bundles that build a representative organization of human white matter. Despite numerous recent advances in methods to map human brain connectivity, tractography suffers from several limitations, including the over- and the under-representation of certain fibre populations. By integrating multimodal registration and SIFT2 quantification approach, we explore the most consistent bundles across subjects, which could help us advance our understanding of the common wiring in the human brain.

3019
Booth 9
Pudendal nerve involvement in young men with erectile dysfunction: demonstration by 3T MR neurography
Tao Gong1,2, Guoquan Huang3, Liangjie Lin4, and Guangbin Wang1

1Departments of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China, Jinan, China, 2Departments of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China, Jinan, China, 3Department of Radiology, Wuhu City Second People's Hospital, No. 259 Jiuhua Rd, Wuhu, 241000, Anhui, China., Wuhu, China, 4MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, China., Beijing, China

More evidences have been identified that pudendal nerve was involved in the pathogenesis of erectile dysfunction (ED) in young men. This prospective study aimed to detect and quantify pudendal nerve alterations in young men with ED using 3T MR neurography protocol. Results certified that pudendal nerve could be visualized and quantified. T2 signal contrast ratio and nerve diameter of pudendal nerve  were increased significantly in ED patients compared with healthy controls, suggesting the involvement of pudendal nerve in young men with ED and thus offering a new insight into the pathophysiology and treatment of ED.
 

3020
Booth 10
Performance of single-shot echo-planar imaging DTI in rat sciatic nerve compared with readout-segmented echo-planar imaging
Yueyao Chen1, Zhongxian Pan1, Fanqi Meng1, Zhujing Li1, Jinyun Gao1, Yuanming Hu1, Yihao Guo2, Qian Xu1, Leyu Huang1, and Hanqing Lv*1

1Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital (The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine), Shenzhen, China, 2MR Collaboration, Siemens Healthineers Ltd., Guangzhou, China

This study compared single-shot echo-planar imaging (SS-EPI) with readout-segmented echo-planar imaging (RS-EPI) diffusion tensor imaging (DTI) in vivo anesthetized rat sciatic nerve at 3T. The result showed that the image quality scores of SS-EPI were higher than those of RS-EPI in terms of the nerve morphology and homogeneity of the neuromuscular region. The coefficients of FA and RD obtained with SS-EPI were higher than those obtained with RS-EPI SS-EPI. This suggests that in rat sciatic nerve DTI, SS-EPI showed higher image quality and offered more sensitive and stable parameters to detect the histopathological change in the rat sciatic nerve.


3021
Booth 11
3D NerveView Neurography of the lumbosacral plexus with a deep learning constrained Compressed SENSE Reconstruction
Caijuan Zhang1, Dong Dong1, Shiyu Guo1, Lishan Wu1, Yi Zhu2, and Ke Jiang2

1Radiology, First Hospital of Jilin University, changchun, China, 2Philips Heathcare, Beijing, China

High resolution three dimensional (3D) sequences of MR Neurography always takes a very long scan time. However, using very high acceleration factors leads to degradation of image quality due to insufficient noise removal. In this study, we used Compressed-SENSE Artificial Intelligence (CS-AI) framework to acquire highly accelerated 3D NerveView imaging of lumbosacral plexus. The result showed that CS-AI reconstruction can significantly decrease scan time with sufficient image quality compared to Compressed SENSE(CS) and might be clinically useful in assessment of lumbosacral plexus.

3022
Booth 12
3D T2-FFE MR Neurography of lumbosacral plexus with a deep learning constrained Compressed SENSE reconstruction
Caijuan Zhang1, Dong Dong1, Shiyu Guo1, Lishan Wu1, Yi Zhu2, Ke Jiang2, and Wenxin Wang2

1Radiology, First Hospital of Jilin University, changchun, China, 2Philips Heathcare, Beijing, China

Three-dimensional (3D) T2 Fast Field Echo (FFE) sequence of MR Neurography always takes a very long scan time. However, using very high acceleration factors (AF) will result in degradation of image quality due to insufficient noise removal. In this study, we used Compressed-SENSE Artificial Intelligence (CS-AI) framework to acquire highly accelerated T2 FFE imaging in lumbosacral plexus. The results showed that CS-AI reconstruction might significantly decrease scan time with sufficient image quality compared with conventional SENSE, and might be clinically useful for assessment of lumbosacral plexus.

3023
Booth 13
Radiomics Model to Predict Radiation-induced Temporal Lobe Injury in Nasopharyngeal Carcinoma
Dan Bao1, Yanfeng Zhao1, and Dehong Luo2

1Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer, Beijing, China, 2National Cancer Center/National Clinical Research Center for Cancer/Cancer, Beijing, China

In order to early identify and predict RTLI after IMRT in patients with NPC, we developed and validated a radiomics model based on pretreatment MRI of temporal lobe. The radiomics model demonstrated excellent predictive performance in the validation set (AUC, 0.93; sensitivity, 87%; specificity, 97%). The clinical-radiomics nomogram outperformed clinical nomogram, and showed excellent predictive performance of RTLI in patients within different clinical-pathologic subgroups. These findings suggest that the identified radiomics signature has the potential as a biomarker for risk stratification in RTLI, which may potentially improve the quality of life and prognosis in NPC patients.

3024
Booth 14
Evaluation of banding artifacts suppression for inner ear MR imaging by 3D b-FFE-XD technique
Qiaoling Wu1 and Geli Hu2

1Department of Radiology, Peking Union Medical College Hospital,Chinese Academy of Medical Sciences, Beijing, China, 2Philips Healthcare, Beijing, China

High resolution inner ear MR imaging plays an important role for preoperative plan of hearing system, such as cochlear implant surgery etc. Nowadays, 3D balanced fast-field echo sequence (3D b-FFE) is an effective technique to deliver high-resolution images up to a spatial resolution 0.5 0.5 0.5mm. However, black banding artifacts are frequently observed in the images of inner ear anatomic structures at 3.0T due to magnetic field inhomogeneity. In this study, the 3D b-FFE-XD technique which combines a cycling RF phase with the conventional b-FFE sequence to suppress the banding artifacts and improve the image quality.  


fMRI I

Gather.town Space: South West
Room: 2
Monday 9:15 - 11:15
Neuro
Module : Module 1: fMRI

3025
Booth 1
Unravel the Role of Primary Olfactory Cortices in Olfactory Processing via Optogenetic fMRI
Teng Ma1,2,3, Xunda Wang1,2, Linshan Xie1,2, Pit Shan Chong4, Peng Cao3, Pek-Lan Khong3, Lee Wei Lim4, Ed. X Wu1,2,4, and Alex T. L. Leong1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

The anterior olfactory nucleus (AON) and the piriform cortex (Pir) are the two primary sensory cortices critical for olfaction. Although it is well documented that both cortices overlap significantly in their functions in olfactory processing, molecular and anatomical tracing studies have indicated otherwise. Consequently, our present understanding of the functions of AON and Pir in olfactory processing at the systems level remains incomplete. In this study, we employed optogenetic fMRI to interrogate the role of AON and Pir in processing olfactory inputs and beyond, and the associated long-range olfactory pathways and their spatiotemporal response properties.

3026
Booth 2
Effects of Dobutamine on Neural Activity in Normal Subjects: A Exploratory Resting-State Functional MRI Study.
Yawen Liu1, Pengling Ren2, TingTing Zhang1,2, Linkun Cai1, Hao Wang2, Hongxia Yin2, Wei Zheng3, Yishi Wang4, Haijun Niu1, Zhenghan Yang2, Dehong Luo5, and Zhenchang Wang2

1School of Biological Science and Medical Engineering, Beihang University, Beijing, China, 2Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China, 3National Space Science Center, Chinese Academy of Sciences, Beijing, China, 4Philips Heathcare, Beijing, China, 5National Cancer Center/Cancer Hospital and Shenzhen Hospital, Shenzhen, China

To explore the alternations in spontaneous brain activities in normal subjects after dobutamine infusion, the regional homogeneity (ReHo) method was used to analyze the interregional synchronized activity of all participants. The results showed that compared with normal resting state, significantly decreased ReHo was found after dobutamine infusion in bilateral frontal lobe, while increased in left temporal lobe and right parietal lobe, suggesting that dobutamine may have an effect on functional brain activity. 

3027
Booth 3
Thalamic Reticular Nucleus Exerts Long-range Cross-modal Modulation on Sensory Processing Depending on Inputs?
Xunda Wang1,2, Linshan Xie1,2, Teng Ma1,2,3, Pit Shan Chong4, Lee-Wei Lim4, Peng Cao3, Pek-Lan Khong3, Alex T. L. Leong1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

Thalamic reticular nucleus (TRN) has been shown to gate sensory thalamo-cortical interactions and selectively modulate thalamic sensory information processing according to behavioral demands. However, whether TRN can exert long-range, i.e., beyond thalamus, cross-modal modulation of sensory processing remains unclear. In this fMRI study, we demonstrate that optogenetic excitation of somatosensory-specific TRN enhances cross-modal excitatory sensory inputs but suppresses cross-modal competing inputs at somatosensory cortices. Our work provides insight into how TRN differentially gate the processing of distinct cross-modal sensory information at large-scale, which may be critical for ensuring the balance between various task demands. 

3028
Booth 4
The effect of total sleep deprivation under workload on spontaneous brain activity in medical staff: a resting-state functional MR imaging study
Cong Peng1, Ding bo Guo1, lisha Nie2, Liuheng Liu 1, Dongling Xiao 1, and Hua Yang1

1Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China, 2GE Healthcare, MR Research China, Beijing, Chongqing, China

The current study aims to assess the effect of total sleep deprivation (TSD) under workload on spontaneous brain activity in medical staff and to further investigate its latent associations with clinical markers. It was concluded that spontaneous brain activity abnormalities occurred during TSD under workload, which might explain the reduced performance of these participants on neurocognitive tests.

3029
Booth 5
fMRI response to individualized cue-reactivity paradigm of males with gaming behavior
Pavel Tikhonov1, Alexander Efimtcev2, Dmitriy Iskhakov2, and Mikhail Zubkov1

1School of Physics and Engineering, ITMO University, Saint-Petersburg, Russian Federation, 2Department of Radiology, Federal Almazov North‐West Medical Research Center, Saint-Petersburg, Russian Federation

Task-related fMRI studies are providing increasing amount of information on the neurobiological aspects of the Gaming Disorder. This study aims to Explore both the activation patterns and the functional connectivities present in the gaming disorder-like subject brains via task-based fMRI study using individualized visual stimuli. 24 male test participants and 25 male control participants took part in the fMRI scanning with gaming-related and neutral visual stimuli. Data analysis showed altered nucleus accumbens connectivity and amygdala resembling that in cases of substance addiction1,2.

3030
Booth 6
Association Between the Recall Verbal Memory and Side of Asymptomatic Carotid Artery Stenosis
Jyun-Ru Chen1, Chun-Jen Lin2,3, I-Hui Lee2,3,4, and Chia-Feng Lu1

1Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan, 2School of Medicine, National Yang-Ming University, Taipei, Taiwan, 3Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan, 4Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan

Previous studies reported that the patients with asymptomatic internal carotid stenosis (aICS) had a higher risk of stroke and recall verbal memory impairment. However, whether the side of aICS could cause different verbal memory outcomes was less explored. In this study, significant difference of functional connectivity (FC) was found between the left and right aICS groups. The correlation analysis estimating the association between FC and recall verbal memory also presented different profiles between two aICS groups.

3031
Booth 7
Altered functional connectivity associated with cognitive impairment in neuromyelitis optica spectrum disorder
Yang Yang1, Qiuyu Yu1, Peng Wu2, Shuting Han1, Xiaojuan Wu1, Hui Dai1, and Yonggang Li1

1The First Affiliated Hospital of Soochow University, Suzhou, China, 2Philips Healthcare, Shanghai, China

Patients with neuromyelitis optica spectrum disorder (NMOSD) develop cognitive symptoms during the course of disease. We observed decreased intra- and internetwork connectivity in the main cognitive networks by Independent Component Analysis in cognitively impaired patients compared to cognitively preserved patients and healthy controls. The decreased intra- and internetwork connectivity was significantly correlated with cognitive performance in the whole NMOSD group. Our findings indicated that aberrant connectivity patterns across the main cognitive networks might suggest the neural substrates underlying cognitive decline in NMOSD.


3032
Booth 8
Malignancy-specific structural-functional dyscoupling in brains with glioma
Siqi Cai1,2, Chunxiang Jiang1,2, Zhifeng Shi3, Shihui Zhou1,2, and Lijuan Zhang*1

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Huashan Hospital of Fudan University, Shanghai, China

The structural-functional coupling in the connectivity of the contralesional hemisphere was enhanced and specific to the malignancy grades of glioma. Structural and functional networks in brains with low grade glioma featured with increased global and local efficiency, whereas the plasticity of the functional networks was limited in brians with high grade glioma. These findings provide new knowledge toward innovating the characterization of glioma.

3033
Booth 9
Abnormal functional stability in patients with minimal hepatic encephalopathy.
LiMin Cai1 and HuaJun Chen1

1Fujian Medical University Union Hospital, Fuzhou, China

We investigated the stability of brain functional architectures and its relationship with cognitive impairment in cirrhotic patients. From  healthy controls, to NHE, and to minimal hepatic encephalopathy(MHE) group, a stepwise reduction of FS was found in right supramarginal gyrus , right middle cingulate cortex, left superior frontal gyrus, and BPCC; whereas, a progressive increment of FS was observed in left middle occipital gyrus and right temporal pole.  Mean FS was correlated with Psychometric Hepatic Encephalopathy Score among cirrhotic patients. FS index showed moderate discrimination potential between NHE and MHE. FS alteration could be potential biomarkers serving for diagnosis about MHE.

3034
Booth 10
Altered macroscale neurovascular coupling in vascular cognitive impairment
Zhao Ruan1 and Weiyin Vivian Liu2

1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China, 2GE Healthcare, Beijing, China

This study aims to integrate psychological behavior, clinical biochemistry and other indicators, and use multi-mode MRI technology to explore specific imaging indicators of VCIND neurovascular coupling (NVC). NVC analysis and CBF/ ALFF ratio calculation were performed to investigate the neurovascular coupling changes and clinical significance of LVCI, SVCI and HC. Regardless of the level of the whole brain or brain regions, we have found neurovascular uncoupling in VCIND patients compared with healthy controls. These findings will be helpful in screening patients with VCIND, and has important theoretical and clinical significance in preventing and delaying the development of dementia.


3035
Booth 11
Stressful life events associate with adolescent depression through dysfunction of frontoparietal network
Yingxue Gao1, Ruohan Feng2, Lihua Zhuo2, Kaili Liang1, Weijie Bao1, Hui Qiu1, Zilin Zhou1, Guoping Huang3, and Xiaoqi Huang1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Radiology, the Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China, Mianyang, China, 3Department of Psychiatry, the Third Hospital of Mianyang, Sichuan Mental Health Center, China, Mianyang, China

The current study investigate functional network alterations in adolescent MDD using the clustering analysis. We found that adolescents with MDD showed decreased connectivity between the frontoparietal network (FPN) and other networks relative to HC. The global connectivity strength of FPN was negatively correlated with the punishment and academic pressure factors, and mediated the association between these two stressors and depression. Our findings suggest that punishment and academic pressure may contribute to the development of depression in adolescence through dysfunction of the FPN, which may promote future prevention of adolescent MDD.

3036
Booth 12
Altered spontaneous brain activity in patients with comitant exotropia before and after surgery: a resting-state fMRI study
Qian Wu1, Hao Hu1, Wen Chen1, Lu Chen1, Jiang Zhou1, Xiaoquan Xu1, and Feiyun Wu1

1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China

We investigate the brain functional alterations in patients with comitant exotropia (CE) before and after surgery, using resting-state functional magnetic resonance imaging with amplitude of low-frequency fluctuation. Our study suggested that CE may lead to decreased brain functional activities in visual-associated areas and the brain function could partially restore along with recovery of exodeviation after strabismus surgery. Besides, our results provided an explanation to the postoperative remnant of stereopsis impairment, which would be helpful to improve the clinical interventions for patients with CE. 

3037
Booth 13
Improved reliability of functional connectivity with multi-echo task fMRI
Amod S Jog1, Radhika Madhavan2, Nastaren Abad3, Eric Fiveland3, Brice Fernandez4, Chitresh Bhushan3, Luca Marinelli3, H Doug Morris5, and Thomas K Foo3

1GE Global Research, Bangalore, India, 2GE Healthcare, Niskayuna, NY, United States, 3GE Global Research, Niskayuna, NY, United States, 4GE Healthcare, Buc, France, 5Walter Reed National Military Medical Center, Bethesda, MD, United States

Signal from conventional single-echo fMRI depends on multiple factors including cerebral metabolic rate for oxygen (CMRO2), blood flow (CBF) and blood volume (CBV). Interpretation of functional connectivity analyses derived from conventional single-echo fMRI is complicated due to coupling of various factors in the fMRI signal. In this work, we use multi-echo task-fMRI to estimate functional connectivity from fluctuations in R2* (transverse relaxation rate) assumed to be surrogates for fluctuations in CMRO2. We also investigate the similarities and differences between single-echo and R2* multi-echo fMRI derived functional activation in a visuo-motor decision task paradigm.


3038
Booth 14
Food pictures versus corresponding calorie information stimuli: an event-related fMRI study at 7 T of brain response differences in adult males
Jiawei Han1,2, Qiangfeng Wang1, Ying-Hua Chu3, Ying Liu1, Junqi Xu1, 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 Healthineers Ltd., Shanghai, China

Balancing food calories and nutrients has become a great concern for contemporary young people. In this study, we found that the calorie information of food activates the response of left middle occipital gyrus, which is related to the current sense of individual satiety. Therefore, it is likely that a sensory hub of the digestive system, corresponding to the visual stimulation of food, is existing.

3039
Booth 15
Modelling the Brain Functional Difference of Movie Watching and Resting State with Autoencoder
Yifei Sun1, Fernando Calamante1,2,3, and Jinglei Lv1,2

1School of Biomedical Engineering, University of Sydney, Sydney, Australia, 2Brain and Mind Centre, University of Sydney, Sydney, Australia, 3Sydney Imaging, University of Sydney, Sydney, Australia

The human brain is a complex dynamic system. Understanding the functional difference of the brain between the resting state and performing tasks helps to decipher the functional brain architecture. In this work, we trained an autoencoder to optimally reconstruct the resting state fMRI (rs-fMRI) data of 50 subjects, and this model was subsequently used to reconstruct the movie watching fMRI (mw-fMRI) data of the same subjects. We have compared the reconstruction error between movie watching and resting state, and significant regional functional differences were found.


White Matter & Nervous System II

Gather.town Space: South West
Room: 6
Monday 9:15 - 11:15
Neuro
Module : Module 17: White Matter & Nervous System

3040
Booth 1
Head and Neck DWI: Comparison of Image Quality and Diagnostic Performance among FASE and EPI Sequences with and without DLR
Hirotaka Ikeda1, Yoshiharu Ohno1, Kaori Yamamoto2, Kazuhiro Murayama3, Masato Ikedo2, Masao Yui2, Satomu Hanamatsu1, Saki Takeda4, Akiyoshi Iwase4, Yuki Obama1, Takahiro Ueda1, Hiroyuki Nagata1, and Hiroshi Toyama1

1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 4Radiology, Fujita Health University Hospital, Toyoake, Japan

No major studies have been reported for assessing the utility of DWI obtained by Fast Advanced Spin-Echo (FASE) with Deep Learning Reconstruction (DLR) for head and neck MR.  We hypothesized that DWI obtained by FASE with DLR could improve the image quality with less deformation and better diagnostic performance as compared with DWI obtained by Echo-Planar Imaging (EPI) in head and neck MR.  The purpose of this study was to compare the capability of DWI obtained by FASE and EPI sequences with and without DLR for image quality and diagnostic performance on DWI in patients suspected head and neck tumors.

3041
Booth 2
Non-local low rank denoising method for complex-valued DWI
Xinyu Ye1, Xiaodong Ma2, Ziyi Pan1, Steen Moller2, Eddie Auerbach2, Kamil Ugurbil2, Xiaoping Wu2, and Hua Guo1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2Center for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota, Minneapolis, MN, United States

Diffusion-weighted MRI (DWI) suffers from the intrinsic low SNR, especially for high-resolution and/or high b-value acquisitions. Thus, denoising methods are critical for diffusion images. Recently, increasing attention has been paid to complex DWI image denoising. Here, we propose a 2-step non-local low-rank joint denoising method to process complex-valued DWI images. Simulation data and in-vivo brain data were used to test the proposed method. The results showed that the proposed method may further improve the image quality.

3042
Booth 3
Quantifying the Stiffness of Peritrigonal Terminal Zones in Preschool Children by Diffusion Imaging-based Virtual MRI Elastography
Na Zhang1, Xianjun Li1, Congcong Liu1, Yao Ge1, Yuying Feng1, Pengxuan Bai1, Miaomiao Wang1, and Jian Yang1

1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China

The high signal intensity on T2-weighted images in terminal zones (TZ) mainly associated with lower maturational degree. We hypothesized that the stiffness in these regions may be different from typical developing children without TZ. Virtual stiffness of brain can be measured safely with virtual magnetic resonance elastography (vMRE). Therefore, this study tried to use vMRE to investigate differences between children with and without TZ. Results demonstrated that virtual stiffness of TZ was lower than controls, while higher than periventricular leukomalacia. These suggest that vMRE may provide additional information for evaluating brain maturation and injury.

3043
Booth 4
Mathematically constrained intravoxel incoherent motion (IVIM)
Jiaqiu Wang1, Thomas Barrick2, Matt Hall3, Muge Karaman4, Richard Magin4, David Reiter5, Qianqian Yang6, Qiang Yu1, Fatima Nasrallah 7, Weeyao Koh8, and Viktor Vegh1,9

1Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 2Neuroscience Research Centre, St George's, University of London, London, United Kingdom, 3National Physical Laboratory, Teddington, United Kingdom, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 6School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia, 7Queensland Brain Institute, University of Queensland, Brisbane, Australia, 8National University Cancer Institute Singapore, National University Hospital, Singapore, Singapore, 9ARC Training Centre for Innovation in Biomedical Imaging Technology, Brisbane, Australia

Intravoxel incoherent motion (IVIM) provides a method of mapping slow and fast diffusion using a two-exponential model. Whilst this method has been applied in acute stroke, brain cancer and muscle, for example, it does have challenges. These include how to best fit the three model parameters which on top of the two diffusion coefficients includes the fast diffusion volume fraction (i.e., perfusion fraction), and how to best sample b-values which lead to robust model parameter fits. Here we propose an approach based on quasi-diffusion which helps constrain the model fit and show reproducibility under different b-value sampling regimes.  


3044
Booth 5
The value of diffusion kurtosis imaging in detecting delayed brain development of premature infants
Xin Zhao1, Chunxiang Zhang1, Bohao Zhang2, Jiayue Yan3, Jinxia Guo4, Kaiyu Wang4, Zitao Zhu5, and Xiaoan Zhang6

1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Henan Key Laboratory of Child Brain Injury, Institute of Neuroscience and Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3McGill university Montreal, Zhengzhou, China, 4GE Healthcare, MR Research China, Beijing, China, 5Wuhan University, Wuhan, China, 6The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China

Preterm infants are at high risk of adverse neurodevelopmental outcome. Therefore, it is necessary to find a tool to detect brain developmental abnormalities earlier. Diffusion kurtosis imaging (DKI) is considered as a more accurate technology based on a kurtosis model accounting for the variation of Gaussian distribution caused by complex cellular environments in compare with diffusion tensor imaging. The mean kurtosis (MK) in posterior limbs of the internal capsule (PLIC), anterior limb of internal capsule (ALIC), the mean diffusion (MD) in parietal white matter (PWM) were found with good diagnostic performance for abnormal brain microstructural change.

3045
Booth 6
What happens to the brain over a single season of playing high school rugby: structural and white matter fibre tract changes related to impact
Maryam Tayebi1,2, Eryn Kwon1,2, William Schierding3, Joshua McGeown2, Matthew McDonald2,4, Paul Condron2, Leigh Potter2, Miao Qiao5, Jerome Maller6, Samantha Holdsworth2,7, Justin Fernandez1, Alan Wang1, and Vickie Shim1,2

1Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand, 2Mātai Medical Research Institute, Gisborne, New Zealand, 3Liggins Institute, University of Auckland, Auckland, New Zealand, 4Department of Ophthalmology, University of Auckland, Auckland, New Zealand, 5School of Computer Science, University of Auckland, Auckland, New Zealand, 6General Electric Healthcare, Victoria, Australia, 7Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, Auckland, New Zealand

We conducted a multimodal MRI study on high school rugby players with bespoke kinematic mouthguard sensors to investigate the correlation between the cumulative effects of subconcussive head impact exposure and any change in the structure of the brain. Despite being underpowered, the study found that the volume of the corpus callosum changed the most over a season of rugby (PCA); Axial Diffusivity of the UF and ILF tracts negatively correlated with the cumulative impact sustained by the athletes. Further investigation of the cumulative effect of playing high-contact sports over an extended period is required, especially for children with developing brains. 

3046
Booth 7
Diagnostic performance of ADC and CBV imaging intersecting MRS for identifying molecular status in adult gliomas
Shuang Li1, Xiaorui Su1, and Qiang Yue2

1radiology, Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, Chengdu, China, 2radiology, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, Chengdu, China

Preoperative identification of IDH and 1p/19q codeletion could help clinical doctors make the optimal therapy plan. Although, there were few diagnostic studies could provide quantitative cutoff values of ADC and/or CBVfor identifying genogroup of gliomas. In this study, we calculated histogram metrics of ADC and CBV based on core tumor and used these metrics intersection MRS to establish diagnostic models to identify IDH mutant station and 1p/19q codeletion in turn. The main results showed that histogram metrics of ADC and CBV were powerful for identifying molecular status in adult gliomas. And MRS concentrations could improve diagnostic performance in both models.

3047
Booth 8
Quantitatively Assessing Longitudinal Alteration of Shear Stiffness in Neonatal Punctate White Matter Lesions based on Virtual Elastography
Congcong Liu1, Miaomiao Wang1, Xianjun Li1, Yao Ge1, and Jian Yang1

1the Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China

Punctate white matter lesions (PWMLs) were currently common white matter injuries, with incidence of 20-30% and associated with adverse neurological development. Longitudinal alteration of PWMLs was less researched which might be related to pathology. Therefore, this study aimed to assess alterations of PWMLs virtual shear stiffness in neonates via DKI-based virtual elastography. We found that virtual shear stiffness of PWMLs was higher than contemporaneous white matter at neonatal periods and did not change obviously with age, while virtual shear stiffness of normal white matter was increased with age. Virtual elastography might be a potential method to identify differently nosological PWMLs.

3048
Booth 9
An evaluation of the caput nuclei caudati in children with autism spectrum disorder and language deficits with DKI and Synthetic MR
Yongbing Sun1, Xin Zhao1, Jinxia Guo2, Lingsong Meng1, Desheng Xuan1, Xiongpeng He1, and Xiaoan Zhang1

1the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, Beijing, China

In this study, DKI combined with synthetic MRI of magnetic resonance imaging compilation (MAGiC) was used to assess the developmental integrity of the caput nuclei caudati of children with ASD and language deficits, and the relationship between DKI parameters and language test scores were explored. 

3049
Booth 10
Assessment of relationship between chemotherapy-induced brain structural alteration and neuropsychological scale revealed by GQI
Wei Chuang1, Vincent Chin-Hung Chen2,3, Yuan-Hsiung Tsai2,4, and Jun-Cheng Weng1,3,5

1Department of Medical Imaging and Radiological Sciences, Graduate Institute of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2School of Medicine, Chang Gung University, Taoyuan, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, Taiwan, 5Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan

Breast cancer is the most prevalent cancer among women, and most of them suffered from chemotherapy-related cognitive impairment (CRCI). In this study, we aimed to use generalized q-sampling imaging (GQI) to detect the relationship between GQI indices and mood symptoms caused by chemotherapy, post-traumatic stress disorder (PTSD), or post-traumatic growth (PTG). Using statistical multiple regression, we found the relationship change between GQI indices and depression, and a consistent relationship was obtained between GQI indices and anxiety with or without chemotherapy. The results indicated that neurotoxicity or traumatic stressors may affect brain structures.

3050
Booth 11
Fixel-Based Analysis of White Matter Degeneration in Patients with Huntington Disease
Chih-Chien Tsai1,2, Sher Li Oh3, Chiung-Mei Chen4, Yih-Ru Wu4, Maria Valdes Hernandez5,6, Jur-Shan Cheng7, Yao-Liang Chen8, Yi-Ming Wu8, Yu-Chun Lin8, and Jiun-Jie Wang1,2,9,10

1Department of Medical imaging and Radiological Science, Chang-Gung University, Taoyuan City, Taiwan, 2Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan, 3Nanyang Technological University, Singapore, Singapore, 4Department of Neurology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 5Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom, 6Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 7Clinical Informatics and Medical Statistics Research Center, Chang-Gung University, Taoyuan City, Taiwan, 8Department of f Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 9Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University/Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 10Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan

Microstructure damage in white matter might be linked to regional and global atrophy in Huntington Disease. Fixel-based analysis (FBA) has recently emerged as a useful fiber-specific tool for examining white matter structure, which could be an important contributor to the pathogenesis of Huntington’s disease. Therefore, we investigate the utility of FBA as a biomarker for disease progression. Our findings indicated the reductions in FBA occurs in major white matter tracts, which was closely co-localized with the regions of increased diffusivity in basal ganglia. FBA analysis is effective in studying white matter tractography and fiber changes in Huntington’s Disease.

3051
Booth 12
Non-neuropsychiatric Childhood-onset Systemic Lupus Erythematosus: Changes in Brain Network Organization and White Matter Microstructure
Laleh Eskandarian1,2, Müşerref Kasap Cüceoğlu3, Selcan Demir3, Tuna Cak4, Ebru Cengel Kultur4, Yelda Bilginer3, Seza Ozen3, and Kader K Oguz2,5

1Neuroscience Department, Bilkent University, ANKARA, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, ANKARA, Turkey, 3Faculty of Medicine, Department of Pediatrics, Division of Rheumatology, Hacettepe University, ANKARA, Turkey, 4Faculty of Medicine, Department of Pediatric Psychiatry, Hacettepe University, ANKARA, Turkey, 5Faculty of Medicine, Department of Radiology, Hacettepe University, ANKARA, Turkey

Central nervous system in childhood-onset SLE shows an increased risk of damage due to onset age, accumulating disease effect and other possible pathophysiologic mechanisms. Thus, an understanding of the timing and extent of changes occurring in the brains of these young patients with SLE is important for new therapeutic strategies. With this purpose, we investigated whether brain network and white matter microstructural changes occur in non-neuropsychiatric SLE patients with disease onset at childhood. TBSS and graph analysis of DTI data, showed significant alterations in white matter integrity and global and nodal connectivity, which revealed correlations with disease duration and severity.

3052
Booth 13
Conversion map from quantitative parameter mapping to myelin water fraction
Shun Kitano1, Yuki Kanazawa2, Masafumi Harada2, Yo Taniguchi3, Yuki Matsumoto2, Hiroaki Hayashi4, Kosuke Ito3, Yoshitaka Bito3, and Akihiro Haga2

1Graduate of Health Science, Tokushima University, Tokushima, Japan, 2Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan, 3FUJIFILM Healthcare Corporation, Tokyo, Japan, 4College of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan

We determined MWF derived from QPM-relaxation parameters using quadratic polynomial approximation. Two types of myelin imaging were generated; MWF derived from multi-echo gradient-echo and R1·R2* map derived from QPM, which were standardized from twelve healthy volunteers to MNI. As a result, the relationship between MWF and R1·R2* values on the white matter region strongly correlated with a quadratic polynomial approximation (R2 = 0.991). Using acquired quadratic polynomial approximation, the R1·R2* map was converted to MWF. Our MWF map derived from QPM can dramatically improve image quality when compared to the general MWF.


3053
Booth 14
Whole-brain assessment of age-related brain characteristics using Quantitative Susceptibility Mapping and Diffusion Tensor Imaging
Qiong Ye1

1High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

Quantitative Susceptibility Mapping (QSM) can reveal the pathophysiological changes such as myelin, iron deposition, and tissue oxygenation. Diffusion Tensor Imaging (DTI) is an effective tool to assess the integrity of white matter. In our study, we performed whole-brain analysis of rat QSM and DTI using the recently reported SIGMA rat brain template (Nature Communication, 2019). The whole-brain segmentation demonstrated excellent performance. The derived parameters show high repeatability and are sensitive to age-related changes.


Neurological Conditions I

Gather.town Space: North West
Room: 5
Monday 9:15 - 11:15
Neuro
Module : Module 10: Neurological Conditions

3054
Booth 1
Thalamic Plasticity in Brains with Glioma Investigated with Discrete Wavelet Transformation Analysis of Resting-state BOLD Fluctuations
Siqi Cai1,2, Zhifeng Shi3, Chunxiang Jiang1,2, Shihui Zhou1,2, and Lijuan Zhang*1

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2University of Chinese Academy of Sciences, Beijing, China, 3Huashan Hospital of Fudan University, Shanghai, China

Thalamic plasticity plays an important role in the functional remodeling in brains with glioma. This study investigated the frequency-specific functional alteration of the thalami in the context of gliomas with discrete wavelet transformation and wavelet-energy. Brains with glioma in the left hemisphere featured with amplified inter-thalamus energy deviation for BOLD signals at 15.63-250mHz irrespective of the malignant grades, as compared with healthy controls. Similar analysis revealed no energy changes for the right brain gliomas. These findings suggest a differential thalamic plasticity that is specific to the tumor laterality, and may leverage innovation in the treatment of glioma involving neuromodulation.

3055
Booth 2
Deep Learning with Anatomical Attention Mechanism for Distinguishing Parkinson’s Disease from Normal Controls in MR imaging
Yida Wang1, Naying He2, Chenglong Wang1, Yan Li2, Zhijia Jin2, Xiance Zhao3, Ewart Mark Haacke2,4, Fuhua Yan2, and Guang Yang1

1Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States

We proposed an automatic cascaded framework based on deep learning to segment deep brain nuclei and distinguish Parkinson’s disease from normal controls using quantitative susceptibility mapping (QSM) images. A 3D CA-Net model integrating channel attention, spatial attention and scale attention module was utilized to segment 5 brain nuclei from QSM and T1W data. Then, the QSM images and the segmented brain nuclei ROIs were fed into the SE-ResNeXt50 with anatomical attention mechanism to get the predicted PD probability. The proposed method provided good interpretability and achieved AUC values of 0.97 and 0.90 on training and testing cohort, respectively.

3056
Booth 3
Anatomical changes and iron deposition of Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy on 7 Tesla MRI
Su Dongning1,2, Zhang Zhe2,3, Zhu Wanlin2,3, Sui Binbin2,3, Zhang Yingkui2,3, Bi Jingfeng2,3, Kong Qingle 4, Zhang Zhijin1,2, Gan Yawen1,2, Jin Jianing1,2, Wang Xuemei1,2, Wang Zhan1,2, Wang Yongjun 1,2,3, Wu Tao1,2, Jing Jing1,2,3, and Feng Tao1,2

1Department of Neurology, Beijing Tiantan Hospital,Captital Medical University, Beijing, China, 2China National Clinical Research Center for Neurological Diseases, Beijing, China, 3Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4MR Collaboration, Siemens Healthineers Ltd., Beijing, China

Ultra-high field MRI enables visualization of anatomical alterations and quantification of iron deposition in the subcortical nucleus. To investigate whether 7T MRI could provide the diagnostic opportunity for Parkinson-plus syndromes, we recruited PD, MSA-P, MSA-C and PSP patients who underwent multi-modal scans including 3D MPRAGE and 3D multi-echo T2*-weighted MRI. All six patients with MSA-C showed visible nigrosome-1. The distances from SN to RN were significantly shorter in PSP than PD. The R2* values in SN, RN and putamen were significantly higher in MSA-P than PD. Our pilot study provided first-of-its-kind evidence that 7T MRI could help diagnose Parkinson-plus syndromes.

3057
Booth 4
Iron Spatial Distributions in Deep Gray Nuclei are Related to Motor Outcomes of Subthalamic Nuclei Deep Brain Stimulation for Parkinson's Disease
Weiwei Zhao1, Xi Wu2, Chunhui Yang2, Luguang Chen3, Yiqing Qiu2, Chao Ma3, Gaiying Li1, Yang Song4, Yi Wang5, and Jianqi Li1

1East Chian Normal University, Shanghai, China, 2Department of Neurosurgery, Changhai Hospital, Shanghai, China, 3Department of Radiology, Changhai Hospital, Shanghai, China, 4MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States

The objective of this study was to investigate the relationship between motor outcomes of subthalamic nuclei deep brain stimulation (STN-DBS) and spatial distribution of iron in the deep gray nuclei for patients with Parkinson's disease (PD). The first and second texture parameters were obtained from the preoperative QSM of 40 PD patients. Significant correlations were found between motor improvement after DBS and QSM texture parameters in substantia nigra (SN) and dentate nucleus (DN). Linear regression showed that second-order texture parameter angular second moment in SN (r = -0.449, p = 0.004) had the highest correlation with the STN-DBS motor outcomes.

3058
Booth 5
Tract-specific association of myelin water fraction with cognitive decline and motor dysfunction in Parkinson’s disease
Septian Hartono1,2, Tiet Gan Ong3, Weiling Lee4, Zi Cheng Kuek4, Celeste Chen1, Kuan Jin Lee5, Jongho Lee6, Eng King Tan1,2, and Ling Ling Chan2,4

1National Neuroscience Institute, Singapore, Singapore, 2Duke-NUS Graduate Medical School, Singapore, Singapore, 3Nanyang Technological University, Singapore, Singapore, 4Singapore General Hospital, Singapore, Singapore, 5Institue of Bioengineering and Bioimaging, Singapore, Singapore, 6Seoul National University, Seoul, Korea, Republic of

We found associations between tract-specific myelin water fraction and cognitive decline, and motor dysfunction in patients with Parkinson’s disease (PD). Myelin water fractions (MWF) in the anterior corona radiata and posterior thalamic radiations were associated with cognitive decline in PD whilst those in the superior and posterior corona radiata, posterior limb of internal capsule and corticospinal tract were associated with moderate to severe motor dysfunction in PD. Our results suggest that MWF has potential utility as an objective imaging biomarker to monitor longitudinal changes in target WM tracts relevant to motor and cognitive dysfunction in PD neurodegeneration.

3059
Booth 6
Altered intrinsic functional connectivity across nine brain networks in early stages of idiopathic Parkinson’s disease
Yao-Chia Shih1,2,3, Pohchoo Seow1, Hartono Septian2,4, Welton Thomas2,4, Weiling Lee1, Aeden Zi Cheng Kuek1, Say Lee Chong1, Samuel Yong Ern Ng4, Nicole Shuang Yu Chia4, Eng-King Tan4, Louis CS Tan4, and Ling-Ling Chan1,2

1Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Duke-NUS Medical School, Singapore, Singapore, 3Graduate Institute of Medicine, Yuan Ze University, Taoyuan, Taiwan, 4Department of Neurology, National Neuroscience Institute – SGH Campus, Singapore, Singapore

Parkinson’s disease (PD) is a common neurodegenerative disease. Besides motor deficits, autonomic and cognitive dysfunctions might be caused by global abnormalities beyond the dopaminergic system. We performed resting-state fMRI to measure functional connectivity between the central autonomic network and eight other critical resting networks in both early PD and healthy control groups. Using general linear models, we identified functional impairments in the inter- and intra-network connections in relation to various brain functions. These findings could shed light on the neural mechanisms behind the complex clinical manifestations evident even in the early stages of PD.

3060
Booth 7
Decreased LC MRI Contrast and Relationship with Orthostatic Hypotension in Multiple System Atrophy
Haiying Lv1, Qing Li2, and Yong Lu3

1Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2MR Collaborations, Siemens Healthineers Ltd., Shanghai, China, 3Ruijin Hospital / Lu Wan Branch Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China

MRI imaging with Neuromelanin contrast has been thrived in recent years. We adopted this method again to explore the LC contrast differences in multiple system atrophy (MSA). Three methods for quantifying LC contrast were used, which all had the ability to reproduce the results that LC contrast decreases in MSA. We further did subgroup analyses of MSA with orthostatic hypotension (MSA-OH) and MSA without orthostatic hypotension (MSA-nonOH). Interestingly, although LC contrast of the two subgroups were not significantly different, adverse correlations between LC contrast and autonomic dysfunction severity were found in MSA-OH and MSA-nonOH subgroups.

3061
Booth 8
The ratio of T1-Weighted to T2-Weighted Signal Intensity and IDH mutation in glioma
Takahiro Sanada1, Shota Yamamoto1, Hirotaka Sato1,2, Mio Sakai3, Masato Saito1, Nobuyuki Mitsui1, Satoru Hiroshima1, Ryogo Anei4, Yonehiro Kanemura5, Katsuyuki Nakanishi3, Haruhiko Kishima6, and Manabu Kinoshita1

1Neurosurgery, Asahikawa Medical University, Asahikawa, Japan, 2Neurosurgery, Japanese Red Cross Kitami Hospital, Asahikawa, Japan, 3Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Osaka, Japan, 4Neurosurgery, Moriyama Hospital, Asahikawa, Japan, 5Biomedical Research and Innovation, National Hospital Organization Osaka National Hospital, Osaka, Japan, 6Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan

The authors investigated the correlation of the ratio of T1WI to T2WI signal intensity (rT1/T2) and IDH mutation status in lower-grade gliomas (LrGG). An exploratory study was conducted to determine an ideal cut-off of rT1/T2 for predicting IDH-mutation, followed by a validation study using two different cohorts. Mean rT1/T of IDH-wild type LrGG was higher than IDH-mutant and significantly predicted IDH mutation in the exploratory cohort. The domestic cohort validated this result, but the accuracy in the TCIA / TCGA cohort declined. The cause of this decline should be further investigated. 

3062
Booth 9
Radiomics analysis of neurite orientation dispersion and density imaging: differentiation between glioblastoma and solitary brain metastasis
Guohua Zhao1, Huiting Zhang2, Eryuan Gao1, Ankang Gao1, Xiaoyue Ma1, Jie Bai1, Xu Yan2, Guang Yang3, Yusong Lin4, and Jingliang Cheng1

1The Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Siemens Healthineers, Shanghai, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 4The School of Software, Zhengzhou University, Zhengzhou, China

Differentiation of glioblastomas and solitary brain metastases is clinically crucial for the prescription of patient management and assessment of prognosis. However, indistinguishable signs between two tumors on routine MRI leads to a high misdiagnosis rate. Neurite orientation dispersion and density imaging (NODDI) can not only estimate the intricacy of neurites in vivo but also provide data to illuminate pathology. We developed a series of radiomics models of NODDI parameter maps, routine MRI, combined routine MRI, and combined NODDI parameter maps to compare their performance in the identification of two tumors. Finally, the combined NODDI radiomics model obtained the best performance.

3063
Booth 10
Radiomics Molecular Mechanism and Candidate Prognostic Biomarker Investigation for Glioblastoma Multiforme Utilizing WGCNA
Jixin Luan1, Jun Chen1, Hua Fan1, Di Zhang1, Peng Wu2, and Chuanchen Zhang1

1Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Liaocheng, China, 2Philips Healthcare, Shanghai, China

In this study, we aimed to explore the deeper molecular mechanism of radiomics features, and uncover new GBM prognostic biomarker. We extracted radiomics features out of 57 patients with MRI data obtained from TCIA database and corresponding clinical and transcription information from TCGA database. WGCNA revealed that the radiomics features are correlated with numerous cancer-associated biological processes, including regulation of vasculature development and so on. HMGA2 as the hub gene was screened by Cytoscape software. There was significant difference in survival analysis between the high and low expression groups, indicating that HMGA2 may be a new prognostic biomarker for GBM.

3064
Booth 11
Interpretable Meningioma Grading and Segmentation with Multiparametric Deep Learning
Yohan Jun*1, Yae Won Park*2, Hyungseob Shin1, Yejee Shin1, Jeong Ryong Lee1, Kyunghwa Han2, Soo Mee Lim3, Seung-Koo Lee2, Sung Soo Ahn**2, and Dosik Hwang**1

1Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of, 2Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea, Republic of, 3Department of Radiology, Ewha Womans University College of Medicine, Seoul, Korea, Republic of

Preoperative prediction of meningioma grade is important because it influences treatment planning, including surgical resection and stereotactic radiosurgery strategy. The aim of this study was to establish a robust interpretable multiparametric deep learning (DL) model for automatic noninvasive grading of meningiomas along with segmentation. We demonstrated that the interpretable multiparametric DL grading model that combined the T2-weighted and contrast-enhanced T1-weighted images can enable fully automatic grading of meningiomas along with segmentation.

3065
Booth 12
Microstructural Deviation in Parkinson’s Disease and Multiple System Atrophy Detected by Spatial Normative Models
Chang-Le Chen1,2, Ming-Che Kuo3, Chun-Hwei Tai3, Yung-Chin Hsu4, Ruey-Meei Wu3, and Wen-Yih Isaac Tseng1,5

1Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, 2Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan, 4AcroViz Technology Inc., Taipei, Taiwan, 5Molecular Imaging Center, National Taiwan University, Taipei, Taiwan

By applying spatial normative models based on a population-based cohort, we can quantify the microstructural deviation of white matter in patients with Parkinson’s disease (PD) and multiple system atrophy (MSA). We found that microstructural deviation of the frontal aslant tracts, cerebrospinal tracts, and parts of corpus callosum was more profound in MSA compared to that in PD. Also, the uncinate fasciculi were the common degenerative marker in these two diseases. Moreover, the microstructural deviation of WM tracts may reflect the association with the disease-related daily functional deficit in MSA and the timing of disease onset in PD.

3066
Booth 13
Fixel-Based Analysis Identifies White Matter Tract Degeneration in Parkinson’s Disease with Mild Cognitive Impairment
Chih-Chien Tsai1,2, Ting-Wei Liao3, Yih-Ru Wu3,4, Yi-Ming Wu5, and Jiun-Jie Wang2,6,7

1Department of Medical imaging and Radiological Science, Chang Gung University, Taoyuan City, Taiwan, 2Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan, 3Department of Neurology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 4College of Medicine, Chang Gung University, Taoyuan City, Taiwan, 5Department of f Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 6Department of Medical imaging and Radiological Science, Chang-Gung University, Taoyuan City, Taiwan, 7Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University/Chang Gung Memorial Hospital, Taoyuan City, Taiwan

Cognitive decline is a common non-motor symptom in Parkinson's disease (PD) patients, described as mild cognitive impairment (PD-MCI). PD-MCI is identified as a risk for PD with Dementia. Previous studies indicated that PD-MCI patients showed gray matter volume decrease and white matter tract degeneration. We investigate the utility of fixel based analysis as a biomarker for disease progression. The results show a significant degeneration of white matter in PD-MCI patients. Our findings indicated the white matter tract degeneration in PD-MCI patients and shed light on the value of the fiber-specific method to the clinical diagnosis of PD-MCI.

3067
Booth 14
Relaxometry of the Substantia Nigra Pars Compacta and Subsegment Analysis: A Healthy Volunteer Study
Yasuhiro Fujiwara1, Shota Ishida2, Yuki Matta3, Masayuki Kanamoto3, and Hirohiko Kimura4

1Department of Life Sciences, Fuculty of Medical Image Sciences, Kumamoto University, Kumamoto, Japan, 2Department of Radiological Technology, Faculty of Medical Sciences, Kyoto College of Medical Science, Kyoto, Japan, 3Radiological Center, University of Fukui Hospital, Fukui, Japan, 4Department of Radiology, University of Fukui, Fukui, Japan

An anatomical atlas of the three regions (medial, dorsal, and ventrolateral) of the substantia nigra pars compacta (SNpc) were created based on neuromelanin (NM)-sensitive images, and Proton density, T1, and T2 values for each region were characterized in healthy volunteers. The T1 value of the ventrolateral group was higher than the other SNpc regions, which may be correlated with the NM concentration. The measured relaxation times can be used as baseline values for the SNpc.

3068
Booth 15
Quantitative Evaluation of Substantia Nigra Degeneration in Parkinson’s Disease using T1 mapping
Ayaka Yokota1, Yasuhiro Fujiwara2, Tetsuyoshi Hirai3, Nobutaka Sakae4, Naokazu Sasagasako4, Takahisa Izumi5, Kuniharu Ohi5, and Hiroyuki Kumazoe5

1Graduated School of Health Sciences, Kumamoto University, Kumamoto, Japan, 2Department of Medical Image Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan, 3Faculty of Medicine, Saga University, Saga, Japan, 4Department of Neurology, National Hospital Organization Omuta National Hospital, Omuta, Japan, 5Department of Radiology, National Hospital Organization Omuta National Hospital, Omuta, Japan

We evaluated the T1 values of the whole and subregions of the substantia nigra (SN) in patients with Parkinson's disease (PD) to identify an imaging biomarker for the early diagnosis of PD. T1 values of the SN of patients with PD were significantly shorter than those of healthy controls and tended to be longer in the lateral part for both groups. T1 values may reflect the pathology of the SN and help assess the degeneration of the SN caused by PD.


Neurological Conditions II

Gather.town Space: North West
Room: 6
Monday 9:15 - 11:15
Neuro
Module : Module 10: Neurological Conditions

3069
Booth 1
Effect of 1 Hz rTMS on functional connectivity in Parkinson’s Disease.
Priyanka Bhat1, S Senthil Kumaran2, Vinay Goyal3, and Achal K Srivastava2

1IIT Delhi, Delhi, India, 2All India Institute of Medical Sciences, Delhi, India, 3Neuroscience Institute, Medanta-The Medicity, Delhi, India

Repetitive transcranial magnetic stimulation is known to render clinical benefits in subjects with Parkinson’s Disease. Because of dopaminergic depletion the cortical connectivity patterns are affected in PD. This study aimed to inhibit the primary motor area which is an important node in the movement control pathway. The effect was studied using clinical scales and task based functional connectivity. The results reveal the ability of rTMS to facilitate the movement by inducting cortical as well as subcortical brain regions.

3070
Booth 2
Decreased the stability of brain hubs and the heterogeneity of whole brain dynamics in early onset schizophrenia
Mukesh Kumar1, S Senthil Kumaran1, Pankaj Pankaj1, and Rajesh Sagar2

1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of psychiatry, All India Institute of Medical Sciences, New Delhi, India

The whole-brain effective connectivity (EC) was estimated to interpret the brain dynamics, time-dependent communicability and propagation of neuronal activity within the brain state in patients with early onset schizophrenia. We observed decreased effective connectivity (p<0.05) and global integration of local endogenous events in early onset schizophrenia (EOS) as compared to controls. EOS suffer decreased propagation of neuronal activity and responsiveness to events. 

3071
Booth 3
Linked brain connectivity patterns with psychopathological and cognitive phenotypes in drug-naïve first-episode schizophrenia
Hui Sun1, Wenjing Zhang1, Chengmin Yang1, Qiyong Gong1, and Su Lui1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

Schizophrenia is characterized by abnormal functional integration between distinct brain regions but whether a common deficit in functional connectivity in relation to both clinical symptoms and cognitive impairments would present in drug-naïve first-episode patients remains elusive. A connectome-wise analysis on resting-state functional MRI in never-treated patients with first-episode schizophrenia. Using the principal component analysis, we found a trans-symptomatic pattern of functional connectivity associated with both psychopathological and cognitive manifestations in never-treated first-episode schizophrenia characterized as the dysconnections involving frontal and visual cortices, suggesting a core deficit of brain functional connectivity that might underpin the psychopathology of schizophrenia.

3072
Booth 4
The disrupted subcortical functional gradient in schizophrenia and the normalization effects of antipsychotic treatment
CHENGMIN YANG1, WENJING ZHANG1, JIAJUN LIU2, ZHIPENG YANG2, and SU LUI1

1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China., Chengdu, China, 2College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, P.R. China., Chengdu, China

To characterize the connectome gradient changes of subcortical system in drug-naive first-episode schizophrenia and the longitudinal treatment effect, we calculated the functional gradient and conducted the group comparisons. The principal gradient of subcortex demonstrated the fundamental functional segregation differences between patients at baseline and healthy controls, and the longitudinal analyses indicated that the treatment would gradually normalize the altered gradients with significant improvement of symptoms. This study provided the new perspective on the abnormal subcortical hierarchy organization in schizophrenia and its longitudinal gradient changes could be sensitive to reflect the antipsychotic treatment effect.

3073
Booth 5
White matter fiber-specific alterations in bipolar disorder: a fixel-based analysis
Paola Magioncalda1,2, Chun-Hung Yeh3, Hsiang-Yuan Lin4, Rung-Yu Tseng3, Mario Amore5, and Matteo Martino1,2

1Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan, 2Brain and Consciousness Research Centre, Taipei Medical University - Shuang Ho Hospital, New Taipei City, Taiwan, 3Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan, 4Azrieli Adult Neurodevelopmental Centre, Campbell Family Mental Health Research Institute, and Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, ON, Canada, 5Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy

The recent unified model of the pathophysiology of bipolar disorder (BD) proposed that micro/macrostructural disturbance in limbic white matter (WM) fibers is important in the pathophysiological mechanism of BD. To gain more insights into this model, preprocessed diffusion MRI data of 67 BD and 125 healthy participants were analyzed using fixel-based analysis. We found a reduction of fiber density and/or cross-section of tracts, including the fornix and cingulum bundle that are core elements of the limbic system. These findings robustly support an association of BD with a specific spatial pattern of WM alterations.

3074
Booth 6
Myelin abnormalities in patients with bipolar disorder: an inhomogeneous magnetization transfer study
Zhifeng Zhou1, Long Qian2, Wentao Lai1, Wentao Jiang1, Gangqiang Hou1, and Yingli Zhang1

1Shenzhen Mental Health Center/Shenzhen Kangning Hospital, Shenzhen, China, 2MR Research, GE Healthcare, Beijing, China

Previous DTI studies have revealed widespread increased radial diffusivity, which tend to be associated with myelin alteration, in patients with bipolar disorder (BD). This study utilizes a surrogate measure of myelin content termed inhomogeneous magnetization transfer (ihMT) to investigate myelin abnormalities in patients with BD. Our results demonstrate that regions with myelin deficits are mainly concentrated in the premiddle corpus callosum and left anterior white matter tracts, suggesting that interhemispheric communication and information transmission of left anterior brain areas may be most affected in patients with BD.  Overall, this study provides new insight into the neuropathological mechanisms underlying BD.

3075
Booth 7
Disrupted white matter network of brain structural connectomes in bipolar disorder patients revealed by q-ball imaging
Pei-Ti Lin1, Huai-Hsuan Tseng2,3, Po See Chen2,3, and Jun-Cheng Weng1,4,5

1Department of Medical Imaging and Radiological Sciences, Graduate Institute of Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan, 2Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan, 3Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan, 4Department of Psychiatry, 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

Bipolar disorder (BD) is a major psychiatric disorder associated with structural and functional brain alterations and cognitive deficits. This study used q-ball imaging and graph theoretical analysis to investigate both neurological structural change and network alterations between BD patients and healthy controls. The results showed the alterations in several brain regions including the corpus callosum and cingulate gyrus, which are associated with executive, cognitive, emotional function, and memory. We found the BD group demonstrated higher global integrity than the HC group, but they remained small-world properties. It indicated that white matter integrity and network alterations were associated with bipolar disorder.

3076
Booth 8
Anomalous functional connectivity of amygdala subregional networks in adolescents with major depressive disorder
Mengyue Tang1, Zilin Zhou1, Lingxiao Cao1, Yingxue Gao1, Lianqing Zhang1, Hailong Li1, Yingying Wang1, 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

Using seed based FC analysis, we investigated alterations in functional connectivity of amygdala subregional networks in a relatively large sample of adolescent MDD. Our findings identified adolescent MDD patients, compared to HC, have anomalous amygdala subregional functional network connections to several brain regions that play a pivotal role in emotional and cognitive processing, which may contribute to revealing the pathophysiology underlying MDD. These findings were not detected when using the whole amygdala as seeds, further verify the significance of analyses at the subregion level.

3077
Booth 9
Changes in neurochemicals of patients with depression observed using two MRS sequences at 7T
Tomohisa Okada1, Yujiro Yoshihara2, Manabu Kubota2, Taro Suwa2, Jun Miyata2, Yuhei Takado3, Jamie Near4, Masoumeh Dehghani4, Thai Akasaka1, Dinh Ha Duy Thuy1, Ravi Teja Seethamraju5, Sinyeob Ahn6, Tadashi Isa1, and Toshiya Murai2

1Human Brain Research Center, Kyoto University, Kyoto, Japan, 2Department of Psychiatry, Kyoto University, Kyoto, Japan, 3Department of Functional Brain imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 4Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 5Siemens Healthcare USA, Boston, MA, United States, 6Siemens Healthcare USA, Berkeley, CA, United States

Major depressive disorder (MDD) afflicts up to 20% of the total population. MRS findings are different among studies. One of the reasons is differences in MRS sequences used. This study compared two sequences: sSPECIAL and STEAM, which consistently found significant and marginally significant reduction of taurine in the anterior cingulate cortex in MDD compared with healthy controls, although concentration of neurochemicals in sSPECIAL and STEAM was different. The difference was lost when concentration was normalized by total creatine due to its significant positive correlation to Taurine. Differences between the two sequences did not result in different neurochemical findings for MDD. 

3078
Booth 10
Cerebellar atrophy in Major Depressive Disorder
Vishwa Rawat1, Ritu Tyagi1, Gagan Hans2, Pratap sharan2, S Senthil Kumaran1, and Uma Sharma1

1Department of NMR, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 2Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India

Present study investigated volumetric changes in the brain of Indian patients suffering from Major Depressive Disorder (MDD) using Magnetic Resonance Imaging (MRI). These patients were seen to have significantly reduced brain and cerebellar volumes. Volume of caudate, putamen and globus pallidus were seen to be reduced but no significant changes were seen in hippocampus and amygdala. Volume of cerebellum and lobule VI of cerebellum was also reduced. Our results suggest that cerebellum as well as VI lobule of cerebellum may be associated with MDD.

3079
Booth 11
Aberrant Intrinsic Functional Connectivity of Hippo-Orbitofrontal-Insular Circuit in Drug-naive Adolescents with Major Depressive Disorder
Zilin Zhou1, Yingxue Gao1, Weijie Bao1, Hui Qiu1, Lianqing Zhang1, Ruohan Feng1,2, Yingying Wang1, Mengyue Tang1, Qiyong Gong1, and Xiaoqi Huang1

1Department of Radiology, Huaxi Magnetic Resonance Research Centre (HMRRC),Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu, China, 2Department of Radiology, the Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China

Through seed-based functional connectivity (SBFC) analysis, we investigated the altered intrinsic connectivity patterns of hippocampus, orbitofrontal cortex (OFC) and insula in adolescents with major depressive disorder(aMDD) comparing to typically developing control(TDC). We found distinct network alterations of those three structures at regional and subregional level. Moreover, we located the aberrant connectivity in hippo-orbitofrontal-insular circuit with family conflict and depressvie symptoms in aMDD which may underline the neural mechanism for depressvie symptoms in adolescents.


3080
Booth 12
Functional Deficits in the Large-scale Circuitry Mediate the Links of Structural Atrophy to Social Anxiety Disorder Outcomes
Xun Zhang1, Song Wang1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China

Social anxiety disorder (SAD) is a prevalent and disabling psychiatric disorder, for which the underlying neurobiological mechanisms remain poorly understood. Herein, whole-brain voxel-based morphometry and coupled functional connectivity analyses were conducted to investigate structural and functional alterations, while correlation and mediation analyses were performed to probe the potential roles of structural-functional couplings in SAD diagnosis. As a result, we observed significant subcortical grey matter atrophy and widespread dysconnectivity in cortico-striato-thalamo-cerebellar circuitry in SAD; functional dysconnectivity could partially mediate the effects of structural atrophy on SAD diagnosis, which may contribute to clarifying the underlying mechanisms of structure-functional couplings for SAD.



Multiple Sclerosis, Alzheimer's & Dementia I

Gather.town Space: North East
Room: 5
Monday 14:45 - 16:45
Neuro
Module : Module 9: Multiple Sclerosis, Alzheimer's and Dementia

3252
Booth 1
Evidence from dual-calibrated fMRI for raised mitochondrial oxygen tension in the MS brain
Antonio Maria Chiarelli1, Eleonora Patitucci2, Hannah Chandler2, Valentina Tomassini1,3,4,5, Michael Germuska2,6, and Richard Wise1,2

1Department of Neuroscience, Imaging and Clinical Sciences, University G. D'Annunzio of Chieti Pescara, Chieti Scalo, Italy, 2CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 3Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, United Kingdom, 4MS Centre, Neurology Unit, “SS. Annunziata” University Hospital, Chieti, Italy, 5Division of Psychological Medicine and Clinical Neurosciences, University Hospital of Wales, Cardiff, United Kingdom, 6School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom

Dysfunction of energy supply or usage may be present in Multiple Sclerosis. We investigated the use of a simple oxygen diffusion model to infer mitochondrial oxygen tension from dual-calibrated fMRI (dc-fMRI) data. We observed a significant reduction of grey matter CBF and CMRO2 in people with MS but no significant difference in OEF or BOLD-sensitive blood volume. Assuming no substantial tissue or vascular remodelling in MS, these results imply, within a simple flow-diffusion model of oxygen from capillaries into the tissue, an elevated partial pressure of oxygen at the mitochondria which may indicate mitochondrial dysfunction.

3253
Booth 2
Association of Blood Biomarkers and Brain Tissue Volume Loss in Patients of Mild Cognitive Impairment and Alzheimer’s Disease
Geon-Ho Jahng1, Kyung Mi Lee2, Sang Tae Kim3, Soonchan Park1, Sue Min Jung4, Hak Young Rhee5, Chang-Woo Ryu1, and Eui Jong Kim2

1Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 2Radiology, Kyung Hee University Hospital, Seoul, Korea, Republic of, 3Surgery & Neurology, Bundang Hospital, Seongnam city, Korea, Republic of, 4Biomedical Engineering, Kyung Hee University, Yongin-si, Korea, Republic of, 5Neurology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of

To report the values of a battery of blood inflammatory biomarkers from cognitive normal (CN) to Alzheimer’s disease (AD) in our reasonably sized patient cohort and to evaluate the association between gray matter volume (GMV) loss in AD and plasma levels of blood biomarkers, we included 38 elderly CN elderly, 40 mild cognitive impairment (MCI), and 33 AD subjects and obtained blood biomarkers and GMV. We found that GMV was negatively associated with the levels of IL1b, P-tau, and T-tau. There were no significant associations between brain tissue volumes and the levels of mAβ, NLRP3, miR155, oAβ, and Nogo-A.

3254
Booth 3
Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model of Alzheimer’s disease
Caitlin F Fowler1,2, Dana Goerzen2, Gabriel A Devenyi2,3, Dan Madularu4, M Mallar F Chakravarty1,2,3, and Jamie Near2,5

1Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 2Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada, 3Psychiatry, McGill University, Montreal, QC, Canada, 4Center for Translational Neuroimaging, Northeastern University, Boston, MA, United States, 5Physical Studies Research Platform, Sunnybrook Research Institute, Toronto, ON, Canada

Alzheimer’s disease is a progressive neurodegenerative disorder with a decades-long pre-symptomatic phase, substantiating the need for prodromal biomarker development and early intervention. We employed longitudinal magnetic resonance imaging and spectroscopy in conjunction with behavioural testing to characterize the chronological order of appearance and progression of multiple facets of disease pathology in the TgF344-AD rat model. The TgF344-AD rat demonstrated impaired spatial reference memory by 4 months of age, followed by neurochemical abnormalities by 10 months and major structural changes by 16 months, most of which recapitulated documented changes in brain structure and tissue chemistry in human Alzheimer’s disease patients. 

3255
Booth 4
Machine learning to detect microstructural brain changes in patients with amnestic mild cognitive impairment based on NODDI
Xiuwei Fu1, Yu Zhang2, Tongtong Li2, Yuanyuan Chen3, Xianchang Zhang4, and Hongyan Ni5

1Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China, 2Department of Radiology, First Central Clinical institution, Tianjin Medical University, Tianjin, China, 3Institute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China, 4MR Collaboration, Siemens Healthineers Ltd., Beijing, China, 5Department of Radiology, Tianjin First Central Hospital, Tianjin, China

This study investigated the changes in brain microstructure in patients with amnestic mild cognitive impairment (aMCI) using neurite orientation dispersion and density imaging (NODDI) combined with machine learning. Neurite density index (NDI) was significantly decreased in white matter, orientation dispersion index (ODI) was significantly decreased in gray matter, and volume fraction of isotropic water molecules (Viso) was significantly increased in the aMCI group. Further correlation and receiver operating characteristic (ROC) curve analyses showed NODDI may reflect the clinical cognitive status of aMCI. NODDI combined with a machine learning algorithm could be a promising alternative for early diagnosis of MCI.


3256
Booth 5
Glutamatergic dysfunction associated with tau depositions in Alzheimer’s disease
Kiwamu Matsuoka1,2, Kosei Hirata1, Naomi Kokubo1, Kenji Tagai1, Hironobu Endo1, Keisuke Takahata1, Hitoshi Shinotoh1, Maiko Ono1, Chie Seki1, Kazunori Kawamura3, Ming-Rong Zhang3, Hitoshi Shimada1,4, Yuhei Takado1, and Makoto Higuchi1

1Department of Functional Brain Imaging, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology, Chiba-shi, Japan, 2Department of Psychiatry, Nara Medical University, Kashihara-shi, Japan, 3Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, Quantum Life and Medical Science Directorate, National Institutes for Quantum Science and Technology, Chiba-shi, Japan, 4Department of Functional Neurology & Neurosurgery, Center for Integrated Human Brain Science, Brain Research Institute, Niigata University, Niigata-shi, Japan

Glutamatergic neurons and cingulate cortices have crucial roles in the cognitive dysfunction of Alzheimer's disease (AD). This study aimed to evaluate regional vulnerabilities of the glutamatergic system in AD at the level of the cingulate gyrus in relation to tau and amyloid-β (Aβ) depositions. Combining MRSI and PET, we found that the glutamatergic system in the posterior cingulate cortex (PCC) is vulnerable to tau deposits but not Aβ from the early stage of AD, and glutamate in the PCC region may be a marker of disease progression in AD.

3257
Booth 6
Brain structure, amyloid and behavioural features for predicting clinical progression in subjective cognitive decline
Siwei Liu1, Xiao Luo2, Yeerfan Jiaerken2, Joanna Su Xian Chong1, Hee Youn Shim1, Minming Zhang2, and Juan Helen Zhou1

1National University of Singapore, Singapore, Singapore, 2Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

Subjective cognitive decline (SCD) is a risk factor for dementia. However, multiple pathologies, including amyloid deposition, cerebrovascular pathology, and depression, contribute to the heterogeneity in SCD. We included 170 non-demented elderly with 2-years follow-up to examine brain structural abnormalities in SCD. We found progressive and stable SCD individuals differed in deep white matter hyperintensities and temporoparietal grey matter atrophy. We used multi-model brain and behavioural factors to predict cognitive impairment and dementia progression. Periventricular white matter hyperintensities mediated the effect of amyloid accumulation on cognitive decline and disease severity, while depressive symptoms directly predicted disease severity.


3258
Booth 7
Observing Clearance Pathway in Alzheimer Patients Using T2 Component Analysis
Koichi Oshio1, Masao Yui2, Seiko Shimizu2, Shinya Yamada3,4, Madoka Nakajima4, Chihiro Akiba5, Hideki Bandai5, and Masakazu Miyajima6

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Neurosurgery, Kugayama Hospital, Tokyo, Japan, 4Department of Neurosurgery, Juntendo University, Tokyo, Japan, 5Department of Neurosurgery, Juntendo Tokyo Koto Geriatric Medical Center, Tokyo, Japan, 6Department of Neurosurgery, Junterndo Tokyo Koto Geriatric Medical Center, Tokyo, Japan

A method to visualize possible waste clearance pathway in the brain was proposed earlier. The method is based on an assumption that there exist water containing macromolecules along the clearance pathway, and this water can be visualized using T2 component analysis. Preliminary results of this method applied for Alzheimer patients, as well as healthy volunteers, are presented. Distinct differences between the patients and healthy volunteers were observed. It is expected that this method can be a powerful tool for understanding the patho-physiology of the Alzheimer disease.

3259
Booth 8
Hippocampal subfield-specific alterations in post-stroke dementia with subcortical lesion
Yihan Wu1,2, Huaying Cai3, Linhui Ni3, Guocan Han4, Zhiyong Zhao1, and Dan Wu1

1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, Hangzhou, China, 2College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China, Hangzhou, China, 3Department of Neurology, Neuroscience Center, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China,, Hangzhou, China, 4Department of Radiology, Neuroscience Center, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China, Hangzhou, China

The present study aimed to explore functional and structural alterations in hippocampus and its subfields in post-stroke dementia (PSD). We collected resting-state fMRI and DTI data from 24 PSD patients, 36 post-stroke nondemented (PSND) patients and 21 normal controls (NC). Comparisons between groups found that PSD patients showed subfield-specific changes in the microstructures of hippocampus compared with the other two groups. Moreover, we not only found more PSD-related changes of functional connectivity with cortical regions in the subfields than entire hippocampus, but also revealed the different contributions of subfields on the connectivity changes of entire hippocampus.


3260
Booth 9
Improved Multiple Sclerosis Lesion Visualization using Tailored FLAWS-MP2RAGE at 7T
Zhe Zhang1,2, Chenyang Gao3, Wanlin Zhu1,2, Yingkui Zhang1,2, Qingle Kong4, Decai Tian3, Jing Jing1,2, and Yongjun Wang1,2,3

1Tiantan Neuroimaging Center of Excellence, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 2China National Clinical Research Center for Neurological Diseases, Beijing, China, 3Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, 4MR Collaboration, Siemens Healthineers Ltd., Beijing, China

Accurate visualization and evaluation of the MS lesions is an essential step for clinical practice. FLAWS-MP2RAGE has been proposed and applied at ultra-high field to better visualize both white matter and gray matter lesions. This work proposed the optimized method, tailored FLAWS(tFLAWS)-MP2RAGE, using a new image combination method for better lesion contrast. Results of MS patients showed higher lesion CNR of tFLAWS-MP2RAGE compared with conventional FLAWS-MP2RAGE and MPRAGE methods. This method might be a potential tool for lesion detection and evaluation at UHF for MS and other brain diseases.

3261
Booth 10
The Contribution of Increased Choroid Plexus Volume in the Alzheimer’s Disease
Jiaxin Li1, Yueqin Hu2, Xue Feng 3, Weiying Dai4, Craig H. Meyer3, David C. Alsop5, and Li Zhao1

1College of Biomedical Engineering & Instrument, Zhejiang University, Hangzhou, China, 2Psychology, Beijing Normal University, Beijing, China, 3Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 4Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 5Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States

Alzheimer’s disease (AD) may be caused by the dysfunction of glymphatic system, in which anatomic changes of the choroid plexus may be associated with reduced CSF production. Our previous work showed significantly increased choroid plexus volume in AD patients compared to healthy controls. However, contributions of the lateral ventricle volume were not investigated. Here, the lateral ventricle and choroid plexus were segmented using two cascaded deep learning models and the volumes were measured on 733 subjects. Increased lateral ventricle volume was found in AD patients, similar to previous studies. More importantly, choroid plexus volume showed a unique contribution to AD.
 

3262
Booth 11
Coupled Metabolic and Functional Changes in Default Mode Network Subsystems of Alzheimer's Disease: A Hybrid 3D 1H-MRSI/FDG-PET/fMRI Study
Wenli Li1, Miao Zhang2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Jialin Hu1, Yaoyu Zhang1, Zhi-Pei Liang3,4, and Yao Li1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

The default mode network (DMN) is the first large-scale system disrupted in Alzheimer’s disease (AD). However, the functional and metabolic changes in the DMN subsystems of AD patients are not yet fully understood. This study investigated the coupled functional and metabolic changes of the DMN subsystems by combining high-resolution 3D MRSI, resting-state fMRI, and 18F-FDG PET on a hybrid PET/MR scanner. Our results showed that the DMN subsystems have distinct functional and metabolic associations and contributions to cognitive decline in AD patients. Our findings may provide useful insights into the system-level pathophysiology of AD.

3263
Booth 12
Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation
Natsuki Ikemitsu1, Yuki Kanazawa2, Akihiro Haga2, Hiroaki Hayashi3, Yuki Matsumoto2, and Masafumi Harada2

1Graduate school of Health Science, Tokushima University, Tokushima, Japan, 2Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan, 3Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan

To classify healthy subjects or patients with Alzheimer's disease (AD) using three-dimensional T1w data, we developed a machine learning system which can capture morphology features and determine atrophy of brain tissue in early-stage AD. Deep learning, a support vector machine (SVM), and 3D convolutional neural networks (3DCNN) were performed. The accuracies of SVM and deep learning based on volume values were comparable and greatly exceeded the accuracy of 3DCNN. It was found that atrophic features were more considerable than morphological features in early-stage AD.


3264
Booth 13
Tau accumulation is associated with fiber-specific white matter degeneration in Alzheimer's disease
Khazar Ahmadi1, Joana B. Pereira1,2, Danielle van Westen1,3, Markus Nilsson4, Nicola Spotorno1, and Oskar Hansson1,5

1Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden, 2Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden, 3Diagnostic Radiology, Lund University, Lund, Sweden, 4Department of Medical Radiation Physics, Lund University, Lund, Sweden, 5Memory Clinic, Skåne University Hospital, Malmö, Sweden

Fixel-based analysis (FBA) enables investigation of micro- and macrostructural damage in white matter (WM) fiber bundles. However, the link between microscopic changes in fiber density (FD) and macroscopic morphological alterations in fiber cross-section (FC) with the pathological hallmarks of Alzheimer’s disease (AD) including regional tau and amyloid-β (Aβ) accumulation has not been explored yet. Here, we show that reduction in FC in the AD continuum is closely connected with tau tangles in contrast to Aβ pathology.

3265
Booth 14
What to do for an accurate cross-sectional and longitudinal processing of diffusion tensor imaging: application to frontotemporal dementia
Fan Huang1, Jonathan D. Rohrer2, Hui Zhang3, and Martina Bocchetta2

1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 3Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, United Kingdom

We considered the steps needed to analyse Diffusion Tensor Imaging (DTI) cross-sectionally and longitudinally, following a state-of-the-art approach which takes into account image quality, acquisition consistency, artifact correction, spatial correspondence. We applied this method to a small cohort of frontotemporal dementia (FTD) patients and controls to replicate the findings in the existing literature.

3266
Booth 15
Correlation between MRI texture analysis and histo-pathology of Alzheimer’s disease: evaluation in the hippocampus of the Tgf344-AD rat model.
Emma Muñoz-Moreno1, Raul Tudela2,3, Xavier López-Gil1, and Guadalupe Soria4,5

1Magnetic Resonance Imaging Core Facility, IDIBAPS, Barcelona, Spain, 2CIBER-BBN, Barcelona, Spain, 3Universitat de Barcelona, Barcelona, Spain, 4Laboratory of Surgical Neuroanatomy, Universitat de Barcelona, Barcelona, Spain, 5Institute of Neurosciences, Universitat de Barcelona, Barcelona, Spain

β-amyloid plaques and neuroinflammation, two of the pathological processes associated to Alzehimer's disease (AD) are not visible by conventional MRI. However, its presence may induce image changes that can be evaluated using texture analysis. We evaluated the potential of texture analysis of conventional MRI to characterize these changes. T2-weighted MRI of a transgenic rat model of AD were acquired and texture measures in hippocampus were correlated with inmunohistochemical quantification of plaques and microglia, showing significant correlation. Coherently, significant differences in the texture measures were found between transgenic and control animals, pointing to the potential of texture analysis as AD biomarker.


Resting-State fMRI & Novel fMRI Techniques

Gather.town Space: South West
Room: 1
Monday 17:00 - 19:00
Neuro
Module : Module 1: fMRI

3321
Booth 1
Functional and structural connectomes of subthalamic nucleus subregions in living humans using 7 Tesla MRI
Maria Guadalupe Garcia Gomar1,2, Kavita Singh1, Simone Cauzzo1,3,4, and Marta Bianciardi1

1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, 2Escuela Nacional de Estudios Superiores, Juriquilla, Universidad Nacional Autónoma de México, Querétaro, Mexico, 3Sant'Anna School of Advanced Studies, Institute of Life Sciences, Pisa, Italy, 4Research Center E. Piaggi, University of Pisa, Pisa, Italy

The subthalamic nucleus (STh) plays a crucial role in the basal ganglia movement-related circuit and it is involved in movement disorders such as Parkinson’s disease, dystonia, and chorea, among others. Its study in living humans is challenging due to limited resolution and contrast in conventional MRI. Previous work developed an in-vivo atlas of two STh subregions based on their fractional anisotropy properties. With the goal of characterizing their function and connectivity, in the present study, we evaluated the functional and structural connectivity of these STh subregions using 7 Tesla MRI and tested their preferential connectivity towards associative or motor regions. 

3322
Booth 2
The missing third dimension – functional correlations of BOLD signals incorporating white matter
Zhongliang Zu1, Yu Zhao1, Yurui Gao1, Muwei Li1, Zhaohua Ding1, and John C Gore1

1Vanderbilt University Medical Center, Nashville, TN, United States

We describe a novel graph analysis that includes a multigraph with multiple edges between a pair of nodes to model brain functional networks, and introduce a three-way correlation between BOLD signals from a pair of gray matter volumes (nodes) and one white matter bundle to define functional connectivity. Characteristics of inter-nodal communication may be derived from this analysis. By examining selected databases, we show inter-nodal communications vary with ages. By integrating fMRI signals from white matter as a third component in network analysis, more comprehensive descriptions of brain function may be obtained.

3323
Booth 3
Detecting longitudinal dynamic functional connectivity changes using multiband multi-echo fMRI in high school football athletes
Alexander D. Cohen1, Michael D. McCrea2,3, and Yang Wang1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States

Repetitive head impact exposure (RHIE) during contact sports may have damaging neurocognitive effects. In this study, we investigated longitudinal changes in dynamic functional connectivity (dFNC) using multiband multi-echo (MBME) fMRI in high school football players over the course of two seasons. Four recurring connectivity states were identified. A greater total number of dFNC changes were observed over two seasons compared to over the course of one season. Changes across all four states were only observed in the two-season comparison. These preliminary results suggest that RHIE may lead to accumulated effects in functional connectivity patterns.

3324
Booth 4
Resting state functional connectivity subnetwork relates to prosocial behavior and compassion in adolescents
Benjamin Sipes1, Angela Jakary1, Melanie Morrison1, Tony T Yang2, and Olga Tymofiyeva1

1Radiology, University of California, San Francisco, San Francisco, CA, United States, 2Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States

In this study, we found that adolescent resting state functional brain networks contains a subnetwork significantly related to self-reported prosocial behavior and compassion. The subnetwork regions indicated connects many previously identified brain regions associated with prosocial behavioral tasks in adolescents, including the bilateral precuneus, left lateral prefrontal cortex, medial prefrontal cortex, inferior frontal gyri, temporal poles, left amygdala, right posterior cingulate cortex, occipital cortex, left supplementary motor area, and cerebellum.


3325
Booth 5
Improved Fidelity for Resting-State Connectivity Measurements in High-Spatial-Resolution ME-fMRI on a Compact 3T Scanner
Daehun Kang1, Myung-Ho In1, Maria A Halverson1, Nolan K Meyer1, Erin M Gray1, Thomas K Foo2, Radhika Madhavan2, Zaki Ahmed1, Hang Joon Jo3, Brice Fernandez4, David F Black1, Kirk M Welker1, Joshua D Trzasko1, John Huston, III1, Matt A Bernstein1, and Yunhong Shu1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Global Research, Niskayuna, NY, United States, 3Department of Physiology, Hanyang University, Seoul, Korea, Republic of, 4GE Healthcare, Buc, France

Through echo-combination, multi-echo echo-planar-imaging (ME-EPI) has shown improved performance for fMRI over single-echo (SE)-EPI. The high-performance gradients on a compact 3T scanner enable whole-brain high-spatial-resolution ME-EPI with reasonable echo times and comparable TR to SE-EPI. To evaluate the fidelity of the ME-EPI sequence in resting state fMRI and compare with that of SE-EPI sequence, seed-based and ICA-based functional connectivity (FC) analyses were applied to evaluate scan-time-dependency and accuracy improvement. ME-EPI extracted more and stronger FCs in seed-based connectivity analysis and produced higher sensitivity and accuracy in ICA-based method, compared to SE-EPI.

3326
Booth 6
NORDIC PCA increases tSNR in both human and mouse resting-state fMRI for potential improvements in cerebrovascular reactivity mapping
Emily L. Tse1, Russell W. Chan1,2, Sarah Y. Wu1, Yixi Xue1, Peiying Liu3, Steen Moeller4, and Kevin C. Chan1,5

1Department of Ophthalmology, New York University Grossman School of Medicine, New York, NY, United States, 2Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, United States, 3Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 4Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, United States, 5Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States

Cerebrovascular reactivity (CVR) reflects the response of cerebral blood vessels to vasoactive stimuli. Whole-brain relative CVR (rCVR) mapping is achieved using task-free resting-state fMRI, which resembles conventional CVR mapping using hypercapnia challenge. To optimize rCVR mapping, we apply NOise Reduction with DIstribution Corrected (NORDIC) PCA which removes thermal noise originating from the scanner and/or the subject. Results show that NORDIC-correction increases the temporal signal-to-noise ratio in both humans and mice, lowers mouse rCVR variance, and potentially improves mouse rCVR along cortical layers. Future rCVR studies investigating cerebrovascular diseases may incorporate NORDIC-correction for higher sensitivity.

3327
Booth 7
Benefits of echo combination for high-spatial-resolution ME resting state FMRI on a compact 3T scanner
Daehun Kang1, Myung-Ho In1, Maria A Halverson1, Nolan K Meyer1, Erin M Gray1, Thomas K Foo2, Radhika Madhavan2, Zaki Ahmed1, Hang Joon Jo3, Brice Fernandez4, David F Black1, Kirk M Welker1, Joshua D Trzasko1, John Huston, III1, Matt A Bernstein1, and Yunhong Shu1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Global Research, Niskayuna, NY, United States, 3Department of Physiology, Hanyang University, Seoul, Korea, Republic of, 4GE Healthcare, Buc, France

For multi-echo EPI, the T2*-weighted echo combination (T2EC) is a commonly used pre-processing step to boost the data quality. We assessed the benefit of T2EC in high-spatial-resolution multi-echo fMRI with explained variances and functional connectivity detectability. The performance was evaluated and compared with single-echo EPI for resting state fMRI on a compact 3T scanner with high-performance gradients. It was shown that a large portion of unwanted signal variance was globally suppressed through T2EC. Multi-echo acquisition shows improved image intensity and enhanced functional sensitivity in brain regions affected by signal-dropout.

3328
Booth 8
Fast 3D fMRI Acquisition over a Small Field-of-View with (k, t)-Space Undersampling
Qingfei Luo1, Kaibao Sun1, Alessandro Scotti1, Guangyu Dan1,2, Muge Karaman1,2, and Xiaohong Joe Zhou1,2,3

1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

The simultaneous multi-slice EPI (SMS-EPI) technique is widely used in fast fMRI studies to achieve a short TR (e.g., < 1 s), but its image quality can be degraded when the slices span only a small brain area. In this study we develop a fast fMRI acquisition technique for imaging a small area by employing (k, t)-space undersampling and three-dimension reduced field-of-view imaging (k-t 3D-rFOVI). Our human fMRI experiments covering the visual cortex demonstrate that k-t 3D-rFOVI can provide higher detection sensitivity of brain activations than SMS-EPI.

3329
Booth 9
Functional MRI with three-dimensional reduced field-of-view
Kaibao Sun1, Guangyu Dan1,2, Alessandro Scotti1, Muge Karaman1,2, Qingfei Luo1, and Xiaohong Joe Zhou1,2,3

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Functional MRI (fMRI) is typically performed with whole brain coverage, even when only a small brain area is of interest. Although zoomed fMRI has been demonstrated using 2D multi-slice acquisitions, extending this capability to 3D focused volume has not been well explored. We have implemented a 3D reduced field-of-view technique for fMRI by using a 2D RF pulse and applied this technique to a visual fMRI study on ten subjects. Compared to a conventional fMRI sequence with a full field-of-view, our technique produced high isotropic spatial resolution and reduced image distortion, despite a moderate reduction in temporal signal-to-noise ratio.

3330
Booth 10
Improving fMRI acquisition using single-shot EPTI with distortion-free high-SNR high-CNR multi-echo imaging
Fuyixue Wang1,2, Zijing Dong1,2, Jingyuan Chen1,2, Kawin Setsompop3,4, Jonathan R. Polimeni1,2, and Lawrence L. Wald1,2

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States

This work aims to address the limitations of EPI and improve fMRI acquisition by developing a single-shot EPTI method, to provide fast distortion-free imaging, with significantly improved tSNR, CNR, robustness to motion, reduced signal dropout, and multi-echo capability for denoising/analysis. The single-shot acquisition is enabled by the newly-designed k-t encoding to provide stronger correlation for improved reconstruction. Results show ss-EPTI achieves: i) 30% higher tSNR efficiency than EPI and 70% higher than 3-shot EPTI; ii) 50% higher CNR than EPI (visual-task); iii) distortion-free fMRI with improved robustness to motion; iv) effective signal dropout reduction; and v) effective non-BOLD variation separation.

3331
Booth 11
Optimization of wide-field optical imaging method towards fMRI integration in mice
Wen-Ju Pan1, Yunmiao Wang2, Harrison Watters1, Lisa Meyer-Baese1, Alaina Corrie Smith1, Dieter Jaeger2, and Shella Keilholz1

1Biomedical Engineering, Emory University/Georgia Institute of Technology, Atlanta, GA, United States, 2Biology, Emory University, Atlanta, GA, United States

We present an optimized wide-field optical imaging method with GEVI in mice to probe the relationship between slow changes in neuronal membrane potential and the BOLD signal in hindpaw stimulation, demonstrate neuronal sub-threshold activity of slow fluctuations could be possibly isolated from hemodynamic signals.

3332
Booth 12
Mapping cortical-depth dependent responses in human motor cortex using Spin-echo Echo Planar Time-resolved Imaging (SE-EPTI)
Fuyixue Wang1,2, Zijing Dong1,2, Lawrence L. Wald1,2, Jonathan R. Polimeni1,2, and Kawin Setsompop3,4

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States

This work utilizes our recently developed spin-echo EPTI technique with minimal T2’-contamination and high specificity to map the layer-dependent responses in primary motor cortex at 7T and further investigate the impact of large vessel bias from T2’ contamination. EPTI resolves multi-contrast images across the readout that are free from distortion and blurring, and simultaneously obtains a SE image with pure T2-weighting and multiple asymmetric SE images with various T2’-weightings. The activation of finger-tapping task was studied using SE-EPTI at 0.9-mm isotropic resolution. Improved specificity of layer-dependent responses was observed using pure SE images. 

3333
Booth 13
Maternal Obesity Alters Neuro-Connectivity in Baboon Offspring
Wei D Zhang1, Peter T Fox 1, Hillary F Huber2, Peter William Nathanielsz3, and Geoffrey D Clarke4

1Research Imaging Institute, UT Health San Antonio, San Antonio, TX, United States, 2Texas Pregnancy & Life-Course Health Research Center, Texas Biomedical Research Institute, San Antonio, TX, United States, 3Animal Science, University of Wyoming, Laramie, WY, United States, 4Research Imaging Insitute, UT Health San Antonio, San Antonio, TX, United States

Maternal obesity status was found to affect neural functional connectivity of adult offspring in in a baboon model. Significant differences in connectivity between offspring of obese mothers and age/sex matched controls were found in  regions of the left temporal lobe and frontal lobe using rs-fMRI.

3334
Booth 14
Comparing the efficiency of data-driven noise regression in removing cardiac and respiratory signals from rs-fMRI: Difference across age groups
Ali Golestani1 and Jean Chen2,3

1University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute at Baycrest, Toronto, ON, Canada, 3Department of Biophysics, University of Toronto, Toronto, ON, Canada

Data-driven methods have been suggested to remove heartbeat and respiration noises from fMRI signals. We compared the effectiveness of these methods (global-signal regression (GS), white matter and CSF (cerebrospinal fluid) regression, anatomical and temporal CompCor, ICA AROMA) in removing the noise. GS, AROMA, and aCompCor removed the most physiological fluctuation, but GS and AROMA also removed most signals under 0.1 Hz. We also observed that all methods removed less noise power and more low-frequency power from young adult data compared to older adults. 

3335
Booth 15
Hemodynamic responses based on CBV weighted fMRI strongly correlate with single-unit neuronal action potentials across cortical layers
Wei Zhu1, Corey Cruttenden1, Shinho Cho1, Xiao-Hong Zhu1, Kamil Ugurbil1, and Wei Chen1

1University of Minnesota, Minneapolis, MN, United States

The specificity of hemodynamic signals detected by functional magnetic resonance imaging (fMRI) to neuronal activity is complicated by the neurovascular coupling. To investigate the fidelity of fMRI in differentiating the neuronal activity across cortical layers, we mapped the laminar orientation preference maps in the cat visual cortex by using high-resolution cerebral blood volume weighted (wCBV) fMRI and single-unit neuronal action potential recording, respectively. The strong correlation between wCBV percent change and spike firing rate indicates that wCBV fMRI with sufficient spatial resolution could distinguish the differences of neural activities across layers but with a reduced sharpness.

3336
Booth 16
Differential D1 and D2 receptor internalization and recycling induced by amphetamine in vivo: a PET/fMRI study
Hanne D Hansen1,2, Martin Schain2, Helen P Deng1, Joseph B Mandeville1,3, Bruce R Rosen1,3, and Christin Y Sander1,3

1A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Neurobiology Research Unit and Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark, 3Harvard Medical School, Boston, MA, United States

In this study, we imaged the effect of repeated amphetamine injections over >24h using simultaneous PET/fMRI in non-human primates and demonstrate that both internalization and recycling of receptors take place during this timeframe. We provide novel insight into D1 vs. D2 receptor contributions by using a D1 blocking agent in combination with amphetamine injections. These results shed a new light into the timelines of dopamine receptor subtype adaptations and not only provide a link to existing in vitro results but also a foundation for linking receptor-specific mechanisms to initial stages of psychostimulant drug use and abuse.

3337
Booth 17
Temporal evolution of the cortical-depth profiles of BOLD fMRI response
Anna Izabella Blazejewska1,2, Daniel Gomez1,2,3, and Jonathan R Polimeni1,2,4

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 3Department of Biomedical Engineering, Boston University, Boston, MA, United States, 4Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

The gradient-echo BOLD fMRI signal demonstrates greatest changes with activation near large draining veins which results in cortical-depth activation profiles that increase linearly with depth from the white to pial surface. However, due to the sparsity of pial vessels these profiles are likely to vary across cortical locations depending on proximity to vessels. We investigated the temporal evolution and spatial variability of the cortical-depth profiles of the BOLD response within human visual cortex and demonstrated that the response is initially strongest in the mid-cortical depths and in time becomes dominated by the large veins at the pial-surface.

3338
Booth 18
RF shielding designs for birdcage coils for high-resolution animal fMRI at 9.4T
Zhangyan Yang1,2, Ming Lu3, Gary Drake2,4, Feng Wang2,4, Pai-Feng Yang2,4, Li Min Chen2,4, John C. Gore1,2,4,5,6, and Xinqiang Yan2,4

1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3College of Nuclear Equipment and Nuclear Engineering, Yantai University, Shandong, China, 4Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, 6Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States

RF shields are key components of volume coils, but they may cause imaging distortions and the significant heating. The effects of different shielding strategies were evaluated for a birdcage coil used to image animals at 9.4T. Three shields with various thicknesses and two shields with different slot patterns were comparatively investigated ed in terms of performance and temperature rise during fMRI acquisitions.

3339
Booth 19
BOLD response in squirrel monkey brains evoked by green light without exogenous opsin
zhangyan yang1,2, Pai-Feng Yang2,3, Huiwen Luo1,2, Feng Wang2,3, Jamie L Reed2,3, William A. Grissom1,2,3, Li Min Chen2,3, and John C. Gore1,2,3,4,5

1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States, 5Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, United States

Optogenetic stimulation combined with MRI detection of blood oxygenation level dependent (BOLD) effects has been developed as a powerful tool to delineate brain circuits. Opsin targeting specific cell types induce neural activity when irradiated with light at a specific wavelength. We detected robust BOLD effects in secondary somatosensory cortex (S2) and downstream interconnected caudate putamen (CPu) of monkey brains from irradiation with low-intensity green light without exogenous green light specific opsin, suggesting hemodynamic changes can be stimulated without any associated neural activity.

3340
Booth 20
A global spatially-adaptive method for task fMRI activation analysis with the advantage of alleviated spatial blurring
Zhengshi Yang1,2, Xiaowei Zhuang1,2, Mark Lowe3, and Dietmar Cordes1,2,4

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Nevada Las Vegas, Las Vegas, NV, United States, 3Cleveland Clinic, Cleveland, OH, United States, 4University of Colorado, Boulder, CO, United States

Accurately localizing brain activation is of great importance for promoting basic science and clinical application of task fMRI data. In this study, we proposed a global and time-efficient way to conduct brain activation analysis, with the property of spatially-adaptive smoothing and determining individual voxel’s activation status with wholebrain fMRI data considered simultaneously. We have demonstrated its advantage over traditional methods in alleviating spatial blurring artifacts. 


Neurological Conditions III

Gather.town Space: South West
Room: 2
Monday 17:00 - 19:00
Neuro
Module : Module 10: Neurological Conditions

3341
Booth 1
Multiparametric Characterization of Focal Cortical Dysplasia using MR Fingerprinting
Zhong Irene Wang1, Joon Yul Choi1, Siyuan Hu2, Yingying Tang1, TingYu Su1,2, Ingmar Blümcke1,3, Stephen Jones4, Ken Sakaie4, Imad Najm1, and Dan Ma2

1Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3Neuropathology, University of Erlangen, Erlangen, Germany, 4Imaging Institute, Cleveland Clinic, Cleveland, OH, United States

Focal cortical dysplasia (FCD) is a common pathology underlying medically intractable focal epilepsies. Conventional MRI can be limited in characterizing subtle FCD, due to the lack of quantitative measurements for tissue properties. Here, we proposed a multiparametric machine learning (ML) approach based on high-resolution 3D MR fingerprinting (MRF) to characterize FCD lesions. The ML model showed robust accuracy of 96%, 89%, and 79% to separate FCD from normal cortex, FCD type I from type II, and FCD type IIa from type IIb, respectively. Our findings suggest the usefulness of the multiparametric MRF ML approach to improve noninvasive epilepsy presurgical evaluation.

3342
Booth 2
Brain Structure-Function Network Hierarchy Abnormalities in Major Depressive Disorder
Yael Jacob1, Laurel Morris1, Sarah Rutter1, Gaurav Verma1, James Murrough1, and Priti Balchandani1

1Icahn School of Medicine at Mount Sinai, New York, NY, United States

Major depressive disorder (MDD) diagnosis, research, and treatment is especially challenging given that current diagnosis entirely depends on clinical symptoms, whereas the underlying brain pathology remains largely unclear. Applying a novel multilayer network analysis, considering communication within functional and structural networks as well as the interactions between them, we found aberrant centrality measures of various brain regions in MDD compared to controls that were not detected using single structural or functional connectomes. In addition, using multilayer network features as predictors in a machine learning algorithm resulted in higher predictive values compared to classification models based on single layer.

3343
Booth 3
Brain Functional Segregation Predicts Symptom Severity and Treatment Response in Psychotic Disorders
Xiaopeng Song1, Tao Song1, Chenyanwen Zhu1, Dost Ongur1, and Fei Du1

1Harvard Medical School, BELMONT, MA, United States

Functional segregation, i.e., anticorrelated neural activities, has not been well-explored in fMRI studies. We introduced the Negative Degree Centrality (NDC) method to quantify functional segregation. We found decreased NDC in psychotic disorder patients compared to controls. Positive, negative, and general psychotic symptoms were associated with impaired NDC in three different brain networks respectively. Using NDC and a machine learning approach, we identified two subgroups of patients with distinct recovery trajectories after one-year treatment. Our findings suggested impaired functional segregation in different brain circuits might be the neurobiological mechanisms associated with various psychotic symptoms and outcome heterogeneity in psychotic disorders.

3344
Booth 4
Abnormal glutamate metabolism in prefrontal cortex of post-traumatic stress disorder linked to comorbidity with major depression
Kelley M. Swanberg1, Hetty Prinsen2, Christopher L. Averill3,4,5, Leonardo Campos1, Abhinav V. Kurada1, John H. Krystal3,4, Ismene L. Petrakis3,4, Lynnette A. Averill3,4,5, Chadi G. Abdallah4,5, and Christoph Juchem1,2,6,7

1Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, NY, United States, 2Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States, 3Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, United States, 4Psychiatry, Yale University School of Medicine, New Haven, CT, United States, 5Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States, 6Radiology, Columbia University Medical Center, New York, NY, United States, 7Neurology, Yale University School of Medicine, New Haven, CT, United States

Post-traumatic stress disorder (PTSD) is an anxiety condition evidenced by wide-ranging emotional and cognitive dysfunction. While prefrontal glutamatergic excitotoxicity is thought to contribute to its presentation, no 1H-MRS studies of PTSD have yet been conducted at 7-Tesla field strength facilitating separation of glutamate from metabolic partner glutamine. Here we apply 7-T 1H MRS to investigate medial prefrontal (mPFC) concentrations of glutamate and glutamine with GABA, glutathione, and other metabolites in both PTSD and comorbid major depressive disorder (MDD). We show several PTSD-associated abnormalities in mPFC glutamate metabolism that appear to be driven by MDD status when this comorbidity is considered. 

3345
Booth 5
Multi-Site Normative Modeling and Hierarchical Bayesian Analysis of DKI metrics in Carriers of 16p11.2 Copy Number Variants
Julio Ernesto Villalon-Reina1, Clara Moreau2, Talia M Nir1, Neda Jahanshad1, Simons Variation in Individuals Project Consortium3, Anne Maillard4, David Romascano4, Bodgan Draganski5, Sarah Lippé6, Carrie E Bearden7, Paul M Thompson1, and Sebastien Jacquemont8

1Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, United States, 2Institut Pasteur, Université de Paris, Paris, France, 3Simons Foundation, New York, NY, United States, 4Service des Troubles du Spectre de l’Autisme et apparentés, Département de psychiatrie, Lausanne University Hospital, Lausanne, Switzerland, 5Laboratoire de Recherche en Neuroimagerie, Université de Lausanne, Lausanne, Switzerland, 6Psychology Department, University of Montreal, Montreal, QC, Canada, 7Departments of Psychiatry and Biobehavioral Sciences and Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States, 8University of Montreal, Montreal, QC, Canada

We used Hierarchical Bayesian Regression (HBR) to create a normative model of age-effects on Diffusion Kurtosis Imaging (DKI) measures of the white matter. DKI maps from more than 1,300 healthy subjects (3-78 years) from six sites and eight scanners were used to estimate the normative model across the lifespan enabling the multi-site data integration with HBR.  16p11.2 deletions and duplications showed “mirror effects” on diffusion kurtosis metrics.

3346
Booth 6
Unmethylated MGMT combined with post-CRT perfusion MRI-derived tumor burden informs overall survival in newly diagnosed glioblastoma
Melissa A Prah1, Jennifer M Connelly1, and Kathleen M Schmainda1

1Medical College of Wisconsin, Milwaukee, WI, United States

As treatment response can mimic progressive tumor on standard imaging, clinical outcomes following upfront chemo-radiotherapy in newly diagnosed glioblastoma rely heavily on MGMT promoter methylation status. While MGMT is a reliable marker of outcomes, the purpose of this study was to determine if inclusion of advanced perfusion-MRI derived fractional tumor burden (FTB) volume might better inform survival outcomes. Results revealed that low FTB volume in MGMT unmethylated glioblastoma confers significant survival benefit, approaching that of MGMT methylated glioblastoma. Clinically, combining FTB with MGMT methylation status may identify patients with potentially better outcomes or for whom more aggressive approaches are warranted.

3347
Booth 7
Structural abnormalities in olfactory brain regions in early Parkinson’s disease (PD) patients measured by high resolution MRI at 7T
Adrian Grant Paez1,2, Suraj Rajan3,4, Alex Y Pantelyat3, Liana I Rosenthal3, Andreia Faria5, Xinyuan Miao2,6, Ted M Dawson3, Peter C. M. van Zijl1,2, Vidyulata Kamath4, and Jun Hua1,2

1Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center, Kennedy Krieger Institute, Baltimore, MD, United States, 3Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 5Radiology and Radiological Science, Kennedy Krieger Institute, Baltimore, MD, United States, 6Johns Hopkins University School of Medicine, Baltimore, MD, United States

We demonstrate significant structural abnormalities in the OB, primary and secondary olfactory brain regions in early PD patients measured by high resolution MRI at 7T. The MRI measures showed significant correlations with behavioral olfactory deficits in the participants.

3348
Booth 8
Metabolic Abnormalities in Bipolar Disorder Observed in the Putamen and Cerebellar Vermis with 7T MRS
Vincent Magnotta1, Jia Xu1, Jess Fiedorowicz2, Aislinn Williams3, Joseph Shaffer4, Gary Christensen5, Jeffrey Long6, Eric Taylor7, Leela Sathyaputri1, Jenny Gringer Richards1, Gail Harmata3, and John Wemmie3

1Radiology, University of Iowa, Iowa City, IA, United States, 2Psychiatry, University of Iowa, Ottawa, ON, Canada, 3Psychiatry, University of Iowa, Iowa City, IA, United States, 4Biosciences, Kansas City University, Kansas City, MO, United States, 5Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States, 6Paychiatry, University of Iowa, Iowa City, IA, United States, 7University of Iowa, Iowa City, IA, United States

This study used 31P and 1H MRS to study brain metabolic differences in bipolar disorder. Data from 64 participants with BD and 42 controls was acquired from the right putamen and cerebellar vermis were acquired at 7T. The study observed reduced pHi in support of prior work that has proposed mitochondrial dysfunction in BD where there is an impaired ability to utilize pyruvate in oxidative phosphorylation. A shift from oxidative phosphorylation toward glycolytic energy production likely increases lactate acid, CO2 levels, and free protons resulting in tissue acidosis. This shift in energy production may also lead to increased glutathione.

3349
Booth 9
Brain functional connectivity in schizophrenia: disrupted network dynamics revealed by fMRI
Miguel Farinha1, Conceição Amado2, and Joana Cabral3,4,5

1Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal, 2Department of Mathematics and CEMAT, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal, 3Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal, 4Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom, 5Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

We investigate differences between the dynamic exploration of resting-state functional connectivity (FC) states using fMRI data from 71 schizophrenia (SZ) patients and 74 healthy controls (HCs) by employing the Leading Eigenvector Dynamics Analysis (LEiDA) method to provide potential biomarkers of this disorder. We found a reduced ability of SZ patients to access and remain in a state of global BOLD phase coherence. Functionally meaningful states presented increased occurrence, limiting probability and altered dynamic transitions in SZ patients. These findings expose pronounced differences between SZ patients and HCs - supporting and developing current knowledge regarding disrupted brain dynamics in schizophrenia.

3350
Booth 10
Voxel-wise Comparison of Clinical 2D pCASL and DSC Perfusion of Intra-axial Brain Tumors
Johannes Devos1, Ronald Peeters1, and Philippe Demaerel2

1Radiology, UZ Leuven, Leuven, Belgium, 2Neuroradiology, UZ Leuven, Leuven, Belgium

Dynamical susceptibility contrast (DSC) and arterial spin labeling (ASL) are MRI techniques to quantify brain tissue perfusion. A voxel-wise analysis in 23 patients showed a moderate to strong linear relationship between tumoral cerebral blood flow measured by 2D echo planar imaging, pseudo-continuous  ASL (pCASL) and leakage corrected, cerebral blood volume measurements by DSC. Additionally, mean and 90th percentile of tumor perfusion of all patients showed a strong linear relationship. In conclusion, 2D EPI pCASL is a viable alternative to DSC for perfusion measurements of brain tumors.

3351
Booth 11
Role of PET and ASL simultaneously acquired imaging biomarkers in differentiating progression from radionecrosis in glial brain tumors
Nadya Pyatigorskaya1, Arnaud Pellerin2, Maya Kalife3, Laura Rozenblum-Beddok4, Marc Bertaux2, Marine Soret2, Lydia Yahia-cherif3, and Aurélie Kas2

1CENIR, ICM, Paris, France, 2Pitié-Salpêtrière Hospital, APHP, Sorbonne universite, Paris, France, 3ICM, Paris, France, 4Pitié Salpêtrière, APHP, Paris, France

We aimed at investigating the methods based on coupling of of amino-acid metabolism (18F-DOPA-PET) measurements and cerebral blood flow (CBF) maps  to evaluate the diagnostic performance of PET/MRI in glioma imaging. Tumor isocontour maps and T-maps were created using SPM and metabolic/perfusion abnormalities were evaluated with the asymmetry index z-score. SPM map analysis of significant-size clusters and semi-quantitative evaluation were performed and compared to gold standard diagnosis. Both the tumor isocontour maps and T-maps showed the highest specificity for ASL and sensitivity for 18F-DOPA analysis, allowing high diagnostic performance in differentiating between progression and radionecrosis particularly in high-grade treated gliomas.

3352
Booth 12
Quantitative magnetic resonance imaging combined with three-dimensional image analysis in glioblastoma
Gergely Bertalan1, Julia Onken2, Simone Schwedler3, Bernd Hamm1, Georg Bohner3, and Edzard Wiener3

1Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

Conventional MRI such as T2 and FLAIR do not show sub-regional intensity changes in peritumoral infiltration zone of glioblastoma and cannot visualize tumor margins. Here, we implemented a new method for sub-volumetric analysis of glioblastoma and investigated T1 and T2 relaxation properties in the peritumoral infiltration zone. The results show a decrease in T1 and T2 relaxation times as a function of distance from the contrast-enhanced T1 solid tumor region to the periphery. Our method may help to better select regions for biopsy, to determine the surgical resection margin and improve radiation therapy planning and post-therapeutic progress controls.

3353
Booth 13
Patient-specific hyperdirect pathway activation in DBS for Parkinson's disease
Alba Segura Amil1,2, T.A. Khoa Nguyen1,2, Andreas Nowacki1, and Claudio Pollo1

1Department of Neurosurgery, University Hospital Bern, Bern, Switzerland, 2ARTORG Center for Biomedical Engineering, University of Bern, Bern, Switzerland

Deep brain stimulation is an effective treatment in advanced Parkinson’s disease. The aim of the study was to determine activation thresholds for the hyperdirect pathway and corticospinal tract to control motor symptoms and avoid the appearance of side effects. Patient-specific whole brain tractograpy, DBS leads reconstruction, and generation of volumes of tissue activated were performed in 20 Parkinson patients. The activation threshold for the hyperdirect pathway was 60%, and for the corticospinal was 4%. For newly generated volumes of tissue activated, the average prediction error for the hyperdirect pathway was 1 mA and for the corticospinal tract was 1.5 mA.


White Matter & Nervous System III

Gather.town Space: South West
Room: 3
Monday 17:00 - 19:00
Neuro
Module : Module 17: White Matter & Nervous System

3354
Booth 1
Comparison of high-resolution quantitative peripheral nerve imaging in CMT1A and healthy controls using Double-Echo in Steady-State at 7 Tesla
Bragi Sveinsson1,2, Robert Barry1,2,3, Olivia Rowe1,2, Jason Stockmann1,2, Daniel Park1, Peter Lally4, Matthew S Rosen1,2,5, and Reza Sadjadi6

1Radiology, A. A. Martinos Center, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 4Brain Sciences, Imperial College London, London, United Kingdom, 5Physics, Harvard University, Cambridge, MA, United States, 6Neurology, Massachusetts General Hospital, Boston, MA, United States

The ability to estimate neurological disease progression based on objective quantitative measurements could be of great value for assessing treatment efficacy. Here, we demonstrate the feasibility of acquiring high-resolution anatomic and quantitative images at 7T in the sciatic, tibial, and fibular nerves, allowing quantitative assessment of individual fascicles. We also measure the quantities of fascicle cross-sectional area, T2, ADC, and fat fraction for CMT1A patients and healthy controls and investigate any between-group differences.

3355
Booth 2
Pain and the NeuroMatrix in the Brain: Feasibility and Safety Study of 3T DWI in a Chronic Low Back Pain Patient Treated with Spinal Cord Stimulation
Isaiah Ailes1, KiChang Kang1, Anish Sathe1, Jingya Miao1, Leonard A. Frizon2, Laura Krisa1, Kristen Fleming1, Peter Natale1, Kiran Talekar1, Devon Middleton1, Feroze Mohamed1, Ashwini Sharan1, and Mahdi Alizadeh1

1Thomas Jefferson University, Philadelphia, PA, United States, 2Faculdades Pequeno Príncipe, Curitiba, Brazil

Spinal cord stimulation (SCS) in patients with failed back surgery syndrome aims to reduce neuropathic pain. However, minimal studies show a safe procedure using 3T diffusion weighted imaging (DWI) MRI for patients with SCS. Additionally, more studies looking at the neurological SCS treatment responses can lead to better optimization of SCS. It was our objective to safely develop a systematic procedure for 3T DWI MRI while also generating a map of the neural network connectivity in structures associated with pain. Long term application of this protocol aims to provide an objective assessment to SCS treatment.

3356
Booth 3
Aberrant Structural Brain Network Hierarchy in Trigeminal neuralgia
Yael Jacob1, Gaurav Verma1, Judy Alper1, Bradley Delman1, Alan Seifert1, Raj Shrivastava1, and Priti Balchandani1

1Icahn School of Medicine at Mount Sinai, New York, NY, United States

Trigeminal neuralgia (TN) is a physically and mentally incapacitating disorder characterized by extreme, sporadic, sudden facial pain. TN is associated with the trigeminal sensory pathway, however, the etiology of TN remains unclear. Implementing a graph-theory analysis using diffusion MRI we tested whether whole brain network structural connectivity hierarchies differentiate between TN patients and healthy controls. We found aberrant centrality measures of various brain regions in TN. Specifically, this whole-brain data-driven network analysis was able to depict two major regions of the trigeminal sensory circuit, the brainstem and thalamus, and highlight their dysfunction role in the whole brain network.  

3357
Booth 4
Evaluation of the efficacy of a Deep Learning-based Reconstruction in the Connectomic Deep Brain Stimulation
Ki Sueng Choi1, Martijn Figee2, Robert Marc Lebel3, Maggie Fung4, Suchandrima Banerjee5, Helen S Maybeg6, and Jaemin Shin4

1Radiology / Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3GE Healthcare, Alberta, AB, Canada, 4GE Healthcare, New York, NY, United States, 5GE Healthcare, Menlo Park, CA, United States, 6Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The connectomic DBS approach, stimulation tractographically defined white mater pathways, has been successfully employed in functional neurosurgery, and it demonstrated the feasibility of clinical utility. However, this approach is limited in the clinical environment due to low SNR and various artifacts of DWI. The recent development of deep learning-based MR reconstruction allows us to improve SNR and reduce artifacts. This study evaluated the DL reconstruction method in the field of connectomic DBS using deterministic and probabilistic tractography. Tractography results from DL reconstruction show higher sensitivity for delineating WM pathways in specific DBS targets.  

3358
Booth 5
Age-related differences in white matter tract length assessed via TRACULA
Tyler Robinson1, Paul Chang1, and Jean Chen1

1Rotman Research Institute, Baycrest, Toronto, ON, Canada

We examined differences in median tract length with age across eighteen major white matter tracts in 541 subjects of the Human Connectome Project in Aging. We observed a significant negative age effect on tract length in the forceps minor, left cingulum angular bundle, right superior longitudinal fasciculus parietal, and right uncinate fasciculus. Paradoxically, we also report a significant positive age effect on tract length in the forceps major and right cingulate gyrus. Restricted analyses suggest that these effects are driven by female subjects.

3359
Booth 6
Are vascular risk factors associated with white matter health equally between men and women?
Arjun Patel1, Jordan A. Chad1,2, and J. Jean Chen1,2

1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

White matter microstructural degeneration is an early marker of declining brain health, and vascular risk factors such as high blood pressure and adipose fat deposition have been found to be significantly associated with white matter microstructural degeneration in healthy adults. In this study, using diffusion tensor imaging, we find that the vascular-risk influences on white matter are more pronounced in women than in men. This study therefore calls attention to the consideration of sex differences in studying brain vulnerability to vascular risk factors. 

3360
Booth 7
Associations between vascular health and brain stiffness
Matthew C Murphy1, Prashanthi Vemuri1, Matthew L Senjem1, Clifford R Jack, Jr.1, Richard L Ehman1, and John Huston, III1

1Mayo Clinic, Rochester, MN, United States

Vascular health is a predictor of cognitive outcomes, but the relationship between the two remains incompletely understood. Here we tested the hypothesis that brain stiffness is significantly associated with vascular health as assessed by white matter hyperintensity (WMH) load and the presence of systemic risk factors. Through voxel-wise mapping, WMH was associated with decreased stiffness in periventricular regions, while systemic risk factors were associated with widespread, lower-amplitude stiffness decreases. Examining the partial correlations between stiffness, WMH and vascular risk factors, stiffness was significantly associated with both measures, while WMH and vascular risk were not significantly correlated after controlling for stiffness.

3361
Booth 8
Initial Clinical Experience with MAGNUS Ultra-High-Performance Gradient Coil for Diffusion Microstructure Imaging of Intracranial Pathology
Robert Shih1,2, Ante Zhu3, J Kevin DeMarco1,2, H Douglas Morris1,2, Maureen Hood1,2, Nastaren Abad3, Radhika Madhavan3, Luca Marinelli3, Thomas Foo3, and Vincent Ho1,2

1Uniformed Services University, Bethesda, MD, United States, 2Walter Reed National Military Medical Center, Bethesda, MD, United States, 3GE Research, Niskayuna, NY, United States

The MAGNUS ultra-high-performance gradient coil delivers simultaneous 200 mT/m and 500 T/m/s performance on each axis, with higher PNS thresholds than whole-body gradient coils, which is particularly useful for diffusion microstructure imaging. Our initial clinical experience with the MAGNUS research scanner has successfully identified white matter abnormalities (? intra-axonal edema) using multi-shell DTI (bmax = 4000 s/mm2) and OGSE (fmax = 100 Hz) in an acute symptomatic mTBI subject. It has also successfully identified differences in intracellular volume fraction using multi-shell multi-frequency OGSE (bmax = 2000 s/mm2, fmax = 100 Hz) between a low-grade diffuse astrocytoma and a high-grade glioblastoma.


3362
Booth 9
Myelin Water Imaging using Dimensionality Reduction
Jae Eun Song1, Shreyas Vasanawala2, and Dong-Hyun Kim3

1Radiology, Stanford University, Stanford, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA, United States, 3Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of

Multi-echo gradient-echo (mGRE)-based myelin water fraction (MWF) mapping is a promising myelin water imaging (MWI) modality but is vulnerable to noise and artifact corruption. The linear dimensionality reduction (LDR) method has recently shown improvements with regard to these challenges. However, the magnitude value based low rank operators have been shown to misestimate the MWF for regions with T2* anisotropy. This paper presents a nonlinear dimensionality reduction (NLDR) method to estimate the MWF map better by encouraging nonlinear low dimensionality of mGRE signal sources.

3363
Booth 10
Unique Alterations in the Pattern of Iron Deposition in Deep Gray Matter Relative to White Matter Microstructure in Mild Traumatic Brain Injury
Sohae Chung1, Els Fieremans1, Dmitry S. Novikov1, Prin X. Amorapanth2, Joseph F. Rath2, Steven R. Flanagan2, and Yvonne W. Lui1

1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Department of Rehabilitation Medicine, NYU Grossman School of Medicine, New York, NY, United States

Primary and secondary injury are both believed to play important roles in the pathogenesis of disease after mild traumatic brain injury (MTBI). Here we investigate the relationships between white matter microstructure and deep gray matter iron deposition after MTBI, which may shed light on primary WM injuries and potential secondary changes in brain iron. Our results show different patterns of correlation between deep gray matter iron content as measured by QSM and WM microstructure as measured by diffusion MRI in MTBI compared with normal controls.


Quantitative Neuroimaging & Neurofluids II

Gather.town Space: North West
Room: 5
Tuesday 9:15 - 11:15
Neuro
Module : Module 25: Gray Matter & Neurofluids

3586
Booth 1
A high-resolution whole-brain CBF atlas based on more than 100 adult normal mice
Xiang Chen1, Wenjing Xu1, Xiaoyang Han1, Yuting Zhai1, Jiadi Xu2, and Xiao-Yong Zhang1

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, United States

Arterial spin labeling (ASL) is a powerful MRI technique used to noninvasively measure cerebral blood flow (CBF). In preclinical studies, rodent brain CBF serves as an important indicator in many brain disease models. In this work, we established a whole-brain CBF atlas based on 102 adult normal mice and profiled CBF distributions in 27 brain regions. We found that there is a high correlation of CBF between the left and right hemispheres. Additionally, the high-resolution mouse CBF atlas can be used to distinguish mice with autism disorder, indicating the potential applications of the atlas in preclinical studies. 

3587
Booth 2
Differences in brain metabolites in awake and anesthetized mice revealed by 1H-MRS
Ren Li1, Wenjing Xu1, Zhifeng Liang2, and Xiao-Yong Zhang1

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Institute of Neuroscience, CAS Center for Excellence in Brain Sciences and Intelligence Technology, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai, China

It is important to investigate neural metabolism and brain functions in awake animals for preclinical studies. However, there are few magnetic resonance spectroscopy (MRS) studies in rodents under awake conditions. In this work, we developed an MRI-compatible restraint device for the measurement of brain metabolism in awake mice. Using 1H-MRS, we successfully observed the brain metabolic profile of prefrontal cortex and thalamus in awake mice. In addition, we found metabolic alterations between awake and anesthetized states, indicating that anesthesia has a non-negligible impact on brain metabolism.

3588
Booth 3
Assessment of the correlation between blood perfusion and protein contents in brain of healthy subjects
Fan Yu1, Qiuxuan Li1, Cheng Zhao1, Liangjie Lin2, Jiazheng Wang2, and Jie Lu1

1Radiology and Nuclear medicine, Xuanwu Hospital, Capital Medical University, Beijing, China, 2Philips Healthcare, Beijing, China, Beijing, China

The blood perfusion and protein contents in brain of healthy subjects were measured in this study by 3D pseudo continuous arterial spin labeling and 3D amide proton transfer weighted imaging. Results showed a negative correlation between blood perfusion and the content of mobile cellular proteins and peptides in brain of heathy subjects; and the blood perfusion in normal brain, rather than the protein content, showed a significant dependence to age.

3589
Booth 4
Non-invasive MRI measures of glymphatic system activity associated with CSF-Aβ and FDG-PET uptakes in Alzheimer’s disease
Koji Kamagata1, Christina Andica1, Kaito Takabayashi1, Yuya Saito1, Toshiaki Taoka2, Hayato Nozaki1, Junko Kikuta1, Shohei Fujita1, Kouhei Kamiya3, Akihiko Wada1, Toshiaki Akashi1, Masaaki Hori3, Shinji Naganawa2, and Shigeki Aoki1

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiology, Nagoya University, Aichi, Japan, 3Department of Radiology, Toho University, Tokyo, Japan

We assessed the non-invasive MRI measurements, such as the diffusivity along the perivascular space (PVS) represented by ALPS index, PVS volume, and fractional volume of free water in the white matter (FW-WM), in cognitively normal subjects and subjects with Alzheimer’s disease (AD) or mild cognitive impairment (MCI). Abnormalities were detected in the subjects with AD and MCI, and theirALPS index and FW-WM values were significantly associated with CSF Aβ levels and FDG PET uptake, as well as with multiple cognitive scores, thus suggesting that a glymphatic system dysfunction could be associated with Aβ deposition and cognitive impairments.

3590
Booth 5
The structural and functional change of glymphatic system in children with ADHD
Yingqian Chen1, Shu Su1, Yan Dai1, Long Qian2, Miaomiao Wang3, and Zhiyun Yang1

1First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China, 2GE Healthcare, Beijing, China, 3the first affliated hospital of Xi'an Jiaotong University, Xi'an, China

The newly found structure – glymphatic system, may offer a new point for exploring the pathogenesis of attention deficit hyperactivity disorder (ADHD),. Our study investigated the change of glymphatic system in the treatment-naïve ADHD children by quantitatively measuring the VRS volume and using DTI-ALPS method. As the results showed, ADHD children have enlarged VRS, and the diffusivities along the VRS and ALPS-index were significantly lower in children with ADHD than in TD subjects, suggesting the impaired glymphatic drainage. Our study suggested that the glymphatic system alternation may play a role in the pathogenesis of ADHD and deserves further investigation.

3591
Booth 6
Associations of gestational age, birth indicators, and brain volume in full-term newborns
Linlin Zhu1, Yuying Feng1, Pengxuan Bai1, Yao Ge1, Congcong Liu1, Yichu He2, Feng Shi2, Jian Yang1, Xiaocheng Wei3, and Chao jin1

1The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China, 2Shanghai United Imaging Intelligence Co., Shanghai, China, 3GE Healthcare, Beijing, China

Newborn gestational age (GA) and birth indicators (birth weight, birth length and head circumference) have been used as clinical indicators to assess the level of brain development. Cerebral changes are particularly intense during the last weeks of gestation. Previous studies have shown that the total brain volume at birth is about one third of the brain volume of healthy adults[1], but it remains unclear about the effect factors of brain volume. Our studies have shown that compared with other birth indicators, the gestational age of full-term newborns is strongly correlated with brain volume.

3592
Booth 7
Quantitative assessment of neonatal hyperbilirubinemia brain injury based on T1 mapping
Xing li1, Xiaoli Meng2, Wei Zhang1, Huipeng Ren1, Yumiao Zhang1, Xiaohu Wang1, Qing Fan1, Xiaocheng Wei3, and Zhuanqin Ren1

1Radiology department, Baoji Central Hospital, baoji, China, 2Nuclear medicine department, Xijing Hospital of Air Force Military Medical University, Xi'an, China, 3GE Healthcare, MR Research China, Beijing, Beijing, China

In this study, we aim to investigate whether T1 mapping can be used to assess neonatal brain injury. It was concluded that the influence of bilirubin value on the globus pallidus (GP) and the posterior limb of internal capsule (PLIC) was obvious. Among them, the T1 values of GP, putamen (PU) and PLIC decreased with the increase of bilirubin.

3593
Booth 8
Postnatal experience promotes the thickening but not myelination of the neonatal ventral visual cortex
Mingyang Li1, Tingting Liu1, Xinyi Xu1, Qingqing Wen1, Zhiyong Zhao1, Yi Zhang1, Yi-Cheng Hsu2, Yi Sun2, and Dan Wu1

1College of Biomedical Engineering & Instrument Science, Zhejiang University, Zhejiang, China, 2MR Collaboration, Siemens Healthineers Ltd, Shanghai, China

Postnatal experience is important for the development of the visual cortex in animal newborns, but its influence in human infants remains unclear. We collected a dataset from the developing human connectome project, including multi-modal MRI of 783 newborns. We found the cortical thickness (CT) and myelination of ventral visual cortex were significantly increased between 37 and 45 weeks of postmenstrual menstrual age (PMA). Interestingly, the CT but not myelination showed significant correlation with postnatal experience in both the V1 and higher-level visual cortex. Our result suggested that experience plays an important role in early cortical thickening

3594
Booth 9
Longitudinal Development of Regional Cerebellar Volumes from Birth to 27 Months of Age
Ya Wang1,2, Liangjun Chen2, Yue Sun2, Tengfei Li2, Zhengwang Wu2, Wenhua Huang1, Weili Lin2, Li Wang2, and Gang Li2

1National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China, 2Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Early cerebellar development in infant brains is very dynamic and highly related to normal cognitive functions and neurodevelopmental disorders, but remains largely unexplored, due to the lack of densely-sampled longitudinal data of early ages. Herein, we unprecedently explored the dynamic developmental trajectories of the volumes in 27 cerebellar lobules based on 511 high-resolution longitudinal structural MRI scans from 235 healthy infants from the Baby Connectome Project (BCP) densely covering the age ranging from birth to 27 months. The trajectories of the cerebellar structures reveal lobule-specific nonlinear developmental patterns and are sexually dimorphic starting from different ages.

3595
Booth 10
Measuring the stiffness of subcortical gray matter structures with virtual MR elastography in preterm and term infants
Miaomiao Wang1, Yao Ge1, Xianjun Li1, Congcong Liu1, and Jian Yang1

1the first affiliated hospital of Xi'an Jiaotong university, Xi'an, China

MR elastography is a promising approach for describing biomechanical properties. Some studies investigated stiffness of subcortical gray matter (SGM), which are critical for cognitive. However, they have not been explored in infants. MRE has some limitations in application of infants, and this study aims to measure SGM stiffness in preterm and term infants using virtual MRE. Our study suggested that virtual shear stiffness of SGM were similar between the preterm at term equivalent and the term, and GP is the stiffest region. This finding suggested that virtual MRE is a sensitive method to characterize the SMG maturity in infants.

3596
Booth 11
Brain structural development on oriental and occidental neonates: a comparison between ITPNBDI and dHCP datasets
Yan Zhang1, Miaomiao Wang1, Congcong Liu1, Xiaoyu Wang1, Yao Ge1, Yichu He2, Feng Shi2, Xianjun Li1, and Jian Yang1

1Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, 2Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China

Despite studies that have demonstrated population differences due to differences in genetics, culture, and environmental exposures, a comparison of brain structural development between oriental and occidental neonates remains to be fully examined. We compared 108 neonates from ITPNBDI and 170 neonates from dHCP to examine differences in neonatal brain structure. Results demonstrated ITPNBDI neonates held shorter brain length, wider brain width and higher brain height than dHCP neonates. They also had greater total brain volume, greater grey matter and less white matter than dHCP neonates. Specifically, volumes of some brain regions involved in speech perception were different between two datasets.


3597
Booth 12
PM2.5 exposure induces structural and functional changes in the mouse brain
Xiaoyang Han1, Yuting Zhai1, and Xiao-Yong Zhang1

1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

We investigated the structural and functional changes induced by exposure in PM2.5 in the mouse model using MRI at 11.7T. We compared the gray matter volume ratio (GMR) of major brain regions between mice exposed to concentrated PM2.5 (PM) and mice exposed to filtered air (FA) after 30-day and 90-day exposure. Our results demonstrate that exposure to PM2.5 for 90 days may induce brain structural and functional changes.

3598
Booth 13
Application of high-resolution 3D vessel wall MR(3D VW-MR) imaging in Primary Angiitis of the Central Nervous System
hongwei zhou1, kexin zhao1, and tianjing zhang2

1the First Hospital of Jilin University, Chang Chun, 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.

3599
Booth 14
The application of High-Resolution Vessel Wall MRI(HR-VW-MRI) in determining the stability of intracranial MCA and BA plaques
hongwei zhou1, kexin zhao1, and tianjing zhang2

1Radiology, the First Hospital of Jilin University, Chang Chun, China, 2Philips Healthcare, Guangzhou, China

The stability of intracranial of 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. 

3600
Booth 15
Preoperative high-resolution 3D VIBE evaluations of the neurovascular anatomy of patients with microvascular compression for hemifacial spasm
Liu Xiaoming1, Kong Xiangchuang1, Li Qiang2, Sun Peng3, and Liu Dingxi1

1Departments of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, Wuhan,Hubei,China, China, 2Departments of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan,Hubei,China, China, 3Philips Healthcare, Beijing, China, Beijing,China, China

The main cause of hemifacial spasm is neurovascular compression syndrome. It is very important to preoperative evaluate the relationship between nerve and responsible blood vessel and its compression site. High-resolution 3D MR cisternography techniques were used preoperatively to assess neurovascular anatomy in patients with neurovascular compression syndrome, but the contrast between vessels and cranial nerves at the point of neurovascular contact is limited. In this study, we evaluated 3D VIBE image to could not only clearly show the structure of nerves and blood vessels, but also improve the contrast between blood vessels and nerves or surrounding brain stem.

3601
Booth 16
The value of first-order features based on ADC map in evaluating the neuroprotective effect of LIPUS for acute traumatic brain injury with rat model
Dan Du1, Lanxiang Liu1, and Qinglei Shi2

1The first hospital of Qinhuangdao, Qinhuangdao, China, 2Scientific Clinical Specialist,Siemens Ltd, Beijing, China

In this study we studied the value of LR model established with first-order features based on ADC map in evaluating the neuroprotective effect of Low-intensity pulsed ultrasound (LIPUS) for acute traumatic brain injury (TBI). The results demonstrated that the model based on the first-order features may have potential value in predicting the therapy effect of LITUS in clinical practice in future.

3602
Booth 17
Transcriptomic Signatures Associated With Gray Matter Volume Changes In Patients With Functional Constipation
Wangli Cai1, Guangyu Tang1, Jilei Zhang2, Ruiling Zhang1, and Lidi Wan1

1Shanghai Tenth People’s Hospital, Shanghai, China, 2Philips Healthcare, Shanghai, China

Functional constipation (FCon) is a common functional gastrointestinal disorder, with a considerable proportion of patients has anxiety and depression. Neuroimaging studies have shown that the functional/structural abnormalities across patients. We aimed to better understand the relationships between cortical atrophy and clinical observations in FCon, and its relationship with the underlying molecular mechanisms. Based on the densely sampled gene expression data from the Allen Human Brain Atlas, we conducted the transcription-neuroimaging association analysis and found genes associated with the central nervous system and the bowel to understand the molecular functions of brain regions that are vulnerable to cortical atrophy in FCon.


fMRI & Connectivity in Disease

Gather.town Space: North West
Room: 1
Tuesday 9:15 - 11:15
Neuro
Module : Module 1: fMRI

3603
Booth 1
Radiation-induced structural network alterations in patients with nasopharyngeal carcinoma: a longitudinal study
Xinyuan Zhang1, Xiaofei Lv2, Pu Xu1, Yuhao Lin1, Long Qian3, and Yanqiu Feng1

1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China, 3MR Research, GE Healthcare, Beijing, China

We conducted a longitudinal study to explore the radiation-induced alterations of structural brain network for nasopharyngeal carcinoma (NPC) patients using diffusion tensor imaging (DTI) technique and graph theory. The dose-dependent effect was also investigated using Spearman's Rank Correlation Coefficient. The structural brain connectivity was found to be altered at both 0~3 (acute) and 6 months (early-delayed) after radiotherapy (RT) and showed a tendency of recovery at 12 months (late-delayed) after RT. Also, the change of nodal properties were related to the temporal dose. These findings provide new insights into the pathophysiological mechanism of radiation-induced brain injuries.

3604
Booth 2
The Brain Functional Connectivity can Predict Response to Treatment with Transcutaneous Auricular Vagus Nerve Stimulation in Primary Insomnia
Wenting Luo1, Yue Zhang2, Xiaoyan Hou2, Menghan Feng1, Chengwei Fu1, Weicui Chen2, Xian Liu2, Zhaoxian Yan2, Kan Deng3, Biyun Xu4, and Bo Liu2

1The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China, 2Department of Radiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 3Philips Healthcare, Guangzhou, China, 4Department of Sleep Disorder, Fangcun Branch, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China

The individual response to treatment with the transcutaneous auricular vagus nerve stimulation ( taVNS ) in primary insomnia varies greatly, while there is lack of objective markers for patient’s treatment outcome. In this work, we demonstrated that the baseline functional connectivity combined with machine learning algorithms can predict response to treatment with taVNS in primary insomnia. The functional connectivity values within and between brain networks such as the default mode network, affective network, visual network, and cerebellar network maybe potential objective markers of patient’s treatment outcome.

3605
Booth 3
Dysfunctional interaction between the dorsal attention network and the default mode network in Patients with Type 2 Diabetes Mellitus
Yumeng Lei1, Dongsheng Zhang1, Fei Qi1, Jie Gao1, Min Tang1, Kai Ai2, Xuejiao Yan1, Xiaoyan Lei1, Zhirong Shao3, Yu Su1, and Xiaoling Zhang1

1Department of MRI, Shaanxi Provincial People’s Hospital, Xi’an, China, 2Philips Healthcare, Xi'an, China, 3Xi'an Medical University, Xi’an, China

To investigate the specific neural substrate of type 2 diabetes mellitus (T2DM) -related cognitive impairment, independent component analysis (ICA) and functional network connection analysis (FNC) methods were applied to resting-state fMRI images from 44 patients with T2DM and 47 healthy controls (HCs). This study found the inherent neural mechanism between the dorsal attention network (DAN) and default mode network (DMN) was eliminated, and these abnormal changes were correlated with the scores of multiple neuropsychological assessments (P < 0.05), indicated that the abnormal changes of the DAN-DMN may be the neural basis of T2DM-related cognitive deficits.

3606
Booth 4
Altered Brain Regional Homogeneity at Resting-State in Spinocerebellar Ataxia Type 3 Patients
Bing Liu1,2, Linwei Zhang3, Wenwen Gao1, Lei Du1, Aocai Yang1, Yue Chen1, Yige Wang1, Xiuxiu Liu1, Kuan Lv1, and Guolin Ma1

1Department of Radiology, China Japan Friendship Hospital, Beijing, China, 2Graduate School of Peking Union Medical College, Beijing, China, 3Department of Neurology, China Japan Friendship Hospital, Beijing, China

To explore the neurofunctional change in spinocerebellar ataxia type 3 patients, regional homogeneity values were analyzed from this resting-state functional magnetic imaging study. The altered brain regional homogeneity mainly appeared in the left cerebellum and right cerebrum. And positive correlations were shown between regional homogeneity values for the right cerebrum and the clinical ataxia scores.

3607
Booth 5
Disrupted small-world networks in children with attention-deficit/hyperactivity disorder: a DTI-based network analysis
Liuhui Wu1, Yingqian Chen1, Shu Su1, Zhiyun Yang1, Yan Dai1, and Long Qian2

1Diagnostic Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China, 2MR Research, GE Healthcare, Beijing, China

Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in school-age children, the pathogenesis is still unclear. In current study, 49 pediatric with ADHD and 51 age- and gender-matched typically developing (TD) children were included. Diffusion tensor imaging (DTI) and graph theory approaches was used. At the global level, patients with ADHD showed increased characteristic Lp, γ, σ and decreased Eglob; regionally, altered nodal profiles were mainly in the default mode, central executive network and basal ganglia. In particular, nodal betweenness of left caudate was negatively associated with the clinical symptom severity.

3608
Booth 6
Altered neurovascular coupling in drug-naïve attention-deficit/hyperactivity disorder: Evidence from a comprehensive fMRI analysis
shu su1, Yingqian Chen 1, Long Qian 2, Yan Dai 1, Zi Yan1, Liping Lin1, Mengsha Zou1, Qin Zhou1, Meina Liu1, Hongyu Zhang1, and Zhiyun Yang1

1First Affiliated Hospital, Sun Yat-sen University, guangzhou, China, 2MR Research, GE Healthcare, guangzhou, China

As the most common childhood-onset neurodevelopmental disorder, the pathogenesis of attention-deficit/ hyperactivity disorder (ADHD) is still unclear. Non-invasive neuroimaging methods open new avenues to characterize developmental changes in the human brain. Neurovascular coupling (NVC) reflects the close relationship between neuronal activity and cerebral blood flow (CBF), which provides a new mechanistic insight into developmental brain alteration. We aim to investigate the potential NVC alteration in ADHD children.

3609
Booth 7
Disrupted topological organization in cerebral small vessel disease: A resting-state functional brain networks and graph theory study
Haotian Xin1, Hongwei Wen2,3, Mengmeng Feng1, Lingfei Guo4, and Changhu Liang4

1Cheeloo College of Medicine, Shandong University, Jinan, China, 2Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China, 3School of Psychology, Southwest University, Chongqing, China, 4Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

We aim to investigate functional topological brain networks changes in cerebral small vessel disease (CSVD) patients with and without cerebral microbleeds (CMBs). We divided the subjects into three subgroups: CSVD with CMBs (CSVD-c), CSVD without CMBs (CSVD-n) and control. Then, we analyzed topological disruptions between groups using graph theory and related these alterations to clinical parameters. CSVD-c showed significantly altered global, nodal topological properties and disrupted distribution of hub regions, involving the default mode network (DMN), attention, sensorimotor and visual functional areas. These findings extended our understanding of neurobiological mechanisms of CSVD.

3610
Booth 8
Static and temporal dynamic changes of intrinsic brain activity in adolescents and adult OCD patients
Xu yin huan1, Zheng rui ping1, Wei ya rui1, Han shao qiang1, and Zhang yan1

1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China

This study used a novel statistical analysis-2x2 interaction effect to differentiate OCD patients from healthy controls in both adolescents and adults. We analyzed a classical index-low frequency fluctuation amplitude(ALFF) and drew a convincing conclusion that some regions had a correlation with people in different age and symptoms in OCD patients. Originally, we proposed a novel strategy of dALFF which allows estimating dynamics of intrinsic brain activity with patients. Compared to static indexes, dynamic indexes might be used as a powerful supplement differentiating patients from different age, helping us obtain a more comprehensive understanding of neural activity.

3611
Booth 9
Disparate Multivariate Relationships between Brain-Behavior Dimensions across Patients with Schizophrenia at Different Illness Stages
Qiannan Zhao1 and Su Lui1

1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Provinc, West China Hospital of Sichuan University, Chengdu, China

Clarifying brain-behavior associations in schizophrenia helps understand neurobiological mechanisms and explore biomarkers for patient stratification and cognition-targeted interventions. Sparse canonical correlation analysis (sCCA) is a method that maximizes the correlations between linear combinations of each high-dimensional data set, providing more information relative to traditional bivariate correlation analysis. In order to characterize multivariate brain-behavior associations in schizophrenia, we performed sCCA in patients at different illness stages. Disparate canonical correlations were found across FES patients and stable treated patients, involving cortical thickness and surface area contributed in each sample, consistent with their well-established differences in neurodevelopmental trajectories, genetics, and contributions to cognition.

3612
Booth 10
Altered resting-state cerebral blood flow and functional connectivity mediate suicidal ideation in major depressive disorder
Dandan Fan1, Cancan He1, Xinyi Liu1, Feifei Zang1, Yao Zhu1, and Chunming Xie1,2,3

1Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China, 2Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China, 3The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China

The relationship among cerebral blood flow (CBF), functional connectivity (FC), and suicidal ideation (SI) in MDD patients has been elusive. 175 participants including 47 MDD without SI (MDDNSI), 59 MDD with SI (MDDSI), and 69 controls (HC)  underwent ASL,  resting-state fMRI scans, and completed neuropsychological tests. Results showed that CBF was increased in MDDSI patients in the bilateral precuneus. MDDSI patients exhibited enhanced  FC in the prefrontal-limbic system and decreased FC in the right precentral gyrus relative to MDDNSI patients. Mediation analyses identified that the FC could mediate the association between  CBF and behavioral performance in subgroups.

3613
Booth 11
Dynamic Alterations in SpontaneousNeural Activity in First-Episode, Drug-Naive Patients with Major Depressive Disorder.
Yingying Wang1, Jing Liu1, Hailong Li1, Hui Qiu1, Yingxue Gao1, Zilin Zhou1, Kaili Liang1, Weijie Bao1, Lianqing Zhang1, 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

We collected resting-state fMRI data from 115 patients with major depressive disorder (MDD) and 127 normal controls (NC). The dynamic amplitude of low-frequency fluctuations (dALFF) and dynamic regional homogeneity (dReHo) in 115 MDD patients and 127 NC were compared. Correlation analyses between dALFF and dReHo in brain regions showing significant intergroup differences and clinical scores were calculated in MDD patients. We found aberrant dALFF and dReHo in MDD patients and their significant correlations with clinical scores, suggesting the pattern of intrinsic brain activity variability might be potential tools to assess MDD patients’ severity of illness.

3614
Booth 12
Abnormal functional connectivity of default mode network subsystems in first-episode drug-naïve major depressive disorder
Hui Qiu1, Hailong Li1, Yingxue Gao1, Lingxiao Cao1, Jing Liu1, Weijie Bao1, Yingying Wang1, Zilin Zhou1, Suming Zhang1, Mengyue Tang1, Lianqing Zhang1, Lu Lu1, Xiaoqi Huang1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

Most previous studies took DMN as a whole and measured its FC abnormalities on a network level while recently, researchers revealed DMN has three subsystems (core, dMPFC and MTL subsystem). Few studies had explored FC on subsystem levels in first-episode drug-naïve (FEDN) MDD patients. We used seed-based whole-brain functional connectivity analysis in a relatively large sample of FEDN MDD patients, we found hyper-connectivity between DMN three subsystems and frontoparietal network as well as cerebellum network, and hypo-connectivity between dMPFC subsystem and dorsal attention network. These findings might provide a more comprehensive understanding for DMN FC changes in MDD.

3615
Booth 13
Brain mapping of the temporal interference stimulation wth functional MRI
Zonghao Xin1, Yoshifumi Abe2, Akihiro Kuwahata3, Kenji F. Tanaka2, and Masaki Sekino1

1Department of Bioengineering, School of Engineering, The University of Tokyo, Tokyo, Japan, 2Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan, 3Department of Electrical Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan

Temporal interference stimulation (TIS) is a novel, non-invasive deep brain stimulation (DBS) methodology thatutilizes multiple external electric fields with amplitude modulation (AM) to stimulate deep brain regions without affectingthe superficial cortical areas. However, the clinical application of TIS is inhibited by its unproved response of the brain to the modulated stimulation. In this study, we investigated the instantaneous brain response to TIS using fMRI technique in rodents. The results demonstrated the compatibility of TIS with fMRI, as well as the feasibility of stimulating subcortical encephalic regions non-invasively and focally.

3616
Booth 14
Highly reliability resting-state networks in common marmoset brains.
Yawara Haga1,2,3, Junichi Hata1,2,3,4,5, Takaaki Kaneko1, Kei Hagiya1, Yuji Komaki3,4, Fumiko Seki1,3,4, Daisuke Yoshimaru1,3,4,5, Kanako Muta1,2,5, Noriyuki Kishi1,4, Takako Shirakawa2, and Hideyuki Okano1,4

1Laboratory for Marmoset Neural Architecture, RIKEN CBS, Saitama, Japan, 2Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Live Animal Imaging Center, Central Institute for Experimental Animals, Kanagawa, Japan, 4Department of Physiology, Keio University School of Medicine, Tokyo, Japan, 5Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan

We identified the resting-state networks in common marmoset brains with a larger amount of rsfMRI data (60 hours). The group-ICA and single subject-ICA were performed in this study. As a results, 18 networks were detected with highly reliability. It included the default mode network, a network most likely involved with visual pathways, and the limbic network. In addition, our data suggests that the resting-state networks in marmoset may be similar to that in human and macaque monkey. Therefore, our study shows that the evaluation of the functional effects of the neurodegenerative diseases using common marmosets is highly useful.

3617
Booth 15
How does midazolam affect resting-state networks in common marmosets? An investigation using a 9.4 T magnetic resonance imaging system.
Kanako Muta1,2, Junichi Hata1,2,3,4, Yawara Haga1,3, Daisuke Yoshimaru2, Kei Hagiya3, Takaaki Kaneko3, Takako Miyabe-Nishiwaki5, Yuji Komaki6, Fumiko Seki6, Hirotaka James Okano2, and Hideyuki Okano3,4

1Tokyo Metropolitan University, Tokyo, Japan, 2The Jikei University School of Medicine, Tokyo, Japan, 3RIKEN Center for Brain Science, Saitama, Japan, 4Keio University, Tokyo, Japan, 5Kyoto University, Aichi, Japan, 6Central Institute for Experimental Animals, Kanagawa, Japan

The purpose of this study is to evaluate the effects of midazolam on resting-state networks in common marmosets. Functional data were collected using a 9.4 T MRI system in the sedative condition with midazolam, the awake condition as a positive control, and the anesthetic condition with isoflurane as a negative control. Independent component analysis and functional connectivity analysis were performed. These results were apparently altered by isoflurane from awake condition, but not largely by midazolam. These results in midazolam were different from a previous report in humans and it may cause different effects of midazolam in human and nonhuman primates.

3618
Booth 16
Are topographically segregated excitatory neurons in visual thalamus functionally diverse? An optogenetic fMRI study
Linshan Xie1,2, Xunda Wang1,2, Teng Ma1,2,3, Pit Shan Chong4, Lee Wei Lim4, Peng Cao3, Pek-Lan Khong3, Ed X. Wu1,2, and Alex T. L. Leong1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China, 3Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China, 4School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China

The dorsal lateral geniculate nucleus (dLGN) plays an essential role in visual processing. There are two types of topographically segregated excitatory neurons in dLGN with different outputs to visual cortex, suggesting functional differences when processing visual inputs at the subcortical thalamic level. However, their long-range functional pathways have yet to be reported. Here, we employed optogenetics in combination with fMRI to precisely target the two subdivisions of dLGN and examine whether these two types of neurons are truly functionally diverse at the systems level to facilitate various known complex visual processing functions.


Advanced Imaging in Neurology: Brain Tumors

Gather.town Space: North West
Room: 2
Tuesday 9:15 - 11:15
Neuro
Module : Module 10: Neurological Conditions

3619
Booth 1
Diffusion-Relaxation Correlation Spectrum Imaging for the Assessment of Pituitary Macroadenomas Consistency: A Preliminary Study
Chun-Qiu Su1, Wentao Hu2, Xun-Ning Hong1, Shan-Shan Lu1, and Yongming Dai2

1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2United Imaging Healthcare, Shanghai, China

Preoperative evaluation of the consistency of pituitary macroadenomas plays a significant role in the determination of the surgical strategy. However, previous studies concerning the assessment of tumor consistency of macroadenomas were controversial1-4. Diffusion-relaxation correlation spectrum imaging (DR-CSI), which provides a correlation spectrum of both water molecular diffusion and T2 relaxation, could be used to resolve the information of tissue compositions, compartments, and heterogeneity at a sub-voxel level. The purpose of our study is to evaluate the utility of DR-CSI in assessing the consistency of pituitary macroadenomas.


3620
Booth 2
Differentiation of hormone secretion related pituitary macroadenomas using Amide Proton Transfer weighted imaging
Wenjun Cui1, Jing Zhang1, Kai Ai2, Yurong Zheng1, Yuping Bai1, Tiejun Gan1, Rui Wang1, Tingli Yang1, Pengfei Wang1, Jie Zou1, Haoyuan Li1, and Yuan Ding1

1Department of Magnetic Resonance,Lanzhou University Second Hospital, Lan Zhou, China, 2Philips Healthcare, Xi'an, China

Advanced radiological modalities such as Amide Proton Transfer weighted imaging (APTw) may be useful in probing biological tissue properties of pituitary adenomas. The objective of the present study was to examine APTw derived APT value to noninvasively and quantitatively measuring pituitary adenomas. Moreover, the correlation analysis was performed between ATP value and hormone secretion to validate the efficiency of ATP value in differentiate hormone secretion related pituitary adenomas.

3621
Booth 3
Deep Learning for Prediction of Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features
Ching-Chung Ko1,2, Yan-Jen Chen3,4, Hsun-Ping Hsieh3, and Jeon-Hor Chen5,6

1Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan, 2Chia Nan University of Pharmacy and Science, Tainan, Taiwan, 3Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, 4Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan, 5Department of Radiological Sciences, University of California, Irvine, CA, United States, 6Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan

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 associated with P/R. This study investigated the role of deep learning for the prediction of P/R in NFMAs. 78 patients diagnosed with NFMAs were included. The hybrid CNN-MLP model using both clinical and MRI features showed the best performance for prediction of P/R in NFMAs, with accuracy of 84%, precision of 88%, and AUC of 0.87.

3622
Booth 4
Discrimination between High-Grade Gliomas and Solitary Brain Metastases in Peritumoral Brain Zone: Qualitative Analysis Using Relaxation Maps
Xin Ge1,2, Xueying Huang2, Kai Zhu2, Aijun Wang2, Xiaocheng Wei3, Min Li4, Ying Shen1,2, Wenxiao Liu1,2, Ruirui Lv1,2, Peng Yong1,2, Xuhong Yang1,2, and Xiaodong Wang2

1Ningxia Medical University, Yinchuan, China, 2General Hospital of Ningxia Medical University, Yinchuan, China, 3GE Healthcare, MR Research, Beijing, China, 4GE Healthcare, MR Enhancement Application, Beijing, China

This work sought to identify a new non-invasive means to differentiate high-grade gliomas (HGGs) from solitary brain metastases (SBMs). It was concluded that the T1native, T2native, PDnative, and ΔT1ratio values were measured in peritumoral brain zone from synthetic MRI can be used as quantitative imaging biomarkers for distinguishing between HGGs and SBMs. The ΔT1ratio values have higher discrimination abilities compared with other parameters, which worth further study.

3623
Booth 5
The shared and disorder-specific temporal dynamics in degree centrality for patients with obsessive-compulsive disorder and schizophrenia
Yaxuan Wang1, Lekai Luo1, Qian Li1, Wanfang You1, Yuxia Wang1, Qian Zhang1, Su Lui1, Qiyong Gong1, and Fei Li1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China., Chengdu, China

Temporal dynamics in degree centrality (DC) were measured to detect alterations of dynamic topological organization in patients with obsessive-compulsive disorder (OCD) and schizophrenia (SZ). We found both patients with OCD and SZ showed decreased occurrence of a state manifested as the highest centrality in sensory systems. Moreover, we observed common and specific alteration of temporal variability of DC in some brain regions, which correlated with symptom severity of patients, respectively.

3624
Booth 6
A radiomics signature-based nomogram to predict TERT promoter mutation status and the prognosis of glioblastoma
Jun Lu1, Hailiang Li2, and Xiang Li1

1Department of Radiology, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China, 2Department of Radiology and Intervention, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China

  This study aimed to establish and validate a radiomics signature-based nomogram with robust radiomics features from contrast enhanced MRI images. The radiomics features were selected using LASSO regression. A prediction model was constructed with multivariate logistic regression analysis. A nomogram combined radiomics signature and clinical factors were established, showing good performance for predicting the TERT mutation status. The clinical value of radiomics nomogram was further assessed by the prognosis analysis. In conclusion, the radiomics signature-based nomogram is a promising method for preoperatively predicting TERT promoter mutation status and has the potential to assess prognosis noninvasively in glioblastoma patients.

3625
Booth 7
Advanced diffusion-weighted imaging for differentiating between glioblastoma and primary central nervous system lymphoma
Kiyohisa Kamimura1, Masanori Nakajo1, Bohara Manisha1, Yoshihiko Fukukura1, Hiroyuki Uchida2, Takashi Iwanaga3, Thorsten Feiweier4, Hiroshi Imai5, and Takashi Yoshiura1

1Radiology, Kagoshima University, Kagoshima, Japan, 2Neurosurgery, Kagoshima University, Kagoshima, Japan, 3Radiological Technology, Kagoshima University Hospital, Kagoshima, Japan, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens Healthcare K.K., Tokyo, Japan

To determine whether time-dependent DWI parameters and microscopic diffusion anisotropy (μFA) are useful for differentiating between glioblastoma and primary central nervous system lymphoma (PCNSL), 51 patients with glioblastoma and 13 with PCNSL were examined. In addition to ADC at two different diffusion times, ADC difference (ΔADC) and ADC change ratio (rcADC) were significantly different between the two tumor types, while no difference was shown for μFA. rcADC showed the best diagnostic performance followed by ΔADC.

3626
Booth 8
Radiomics based characterization of peritumoral edema segmented from DCE MRI to differentiate glioblastoma from solitary brain metastasis
Suhail Parvaze P1, Rakesh K Gupta2, Rupsa Bhattacharjee3, Anup Singh4, Rakesh Kumar Singh5, Gaurav Khanna6, Amal Roy Chaudhary7, Rana Patir8, Sandeep Vaishya8, Jaladhar Neelavalli 9, and Tejas Shah9

1Philips Innovation Campus, Bangalore, India, 2Department of Radiology and Imaging, Fortis Memorial Research Institute, Gurugram, India, 3Indian Institute of Technology Delhi, Delhi, India, 4Department of Biomedical Engineering, Indian Institute of Technology Delhi, Delhi, India, 5Fortis Memorial Research Institute, Gurugram, India, 6SRL Diagnostics, Fortis Memorial Research Institute, Gurugram, India, 7Radiation Oncology, Fortis Memorial Research Institute, Gurugram, India, 8Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India, 9BIU, Philips Innovation Campus, Bangalore, India

Edema in GB is characterized by the presence of tumor cells infiltration as compared to brain metastasis with only pure edema. Radiomics features extracted using FLAIR images in GB and BM are found to be exhibiting variation in some of the entropy and non-uniformity-based features, which could be used as signature to differentiate GB from brain metastasis.

3627
Booth 9
Diffusion–Based Virtual MR Elastography of the asymmetric features of neonatal white matter
Yao Ge1, Xianjun Li2, Congcong Liu2, Miaomiao Wang2, Linlin Zhu2, Pengxuan Bai2, Na Zhang2, Yuying Feng2, and Jian Yang2

1Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, xi’an, China, 2Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, xi'an, China

Exploring the asymmetry of the neonatal brain white matter is of great significance for exploring the developmental rules and disease pathogenesis. Virtual MR elastography (VMRE) as a non-invasive technique has also enabled to relate maturation of cerebral structures to neonatal neurodevelopment in addition to conventional techniques.This study aims to explore the capability of diffusion–based VMRE in the characterization of the asymmetric of the neonatal white matter stiffness.The stiffness of neonatal white matter existed asymmetry, and there was a correlation between it and PMA. VMRE may enable to explore the developing brain at several levels.

3628
Booth 10
Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status
Jinlong He1, Jianlin Wu1, Yang Gao2, Qiong Wu2, Jing Shen1, Shaoyu Wang3, Huapeng Zhang3, Jialiang Ren4, and Peng Wang5

1Tianjin Medical University Graduate School, Tianjin, China, 2Department Of Imaging Diagnosis, Affiliated Hospital Of Inner Monglia Medical University, Hohhot, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 4GE Healthcare, Shanghai, China, 5Inner Monglia Medical University, Hohhot, China

Objective:To compare the performance of clinical model, radiomics model, and combined model in predicting biomarker status (IDH, MGMT, TERT, 1p/19q) of glioma.Methods: 81 glioma patients confirmed by histology were enrolled in this study. The predictive performance of each model was validated by receiver operating characteristic curve (ROC) analysis and decision curve analysis (DCA).Results: The mixed model showed the highest performance in each genic phenotype (IDH AUC = 0.93, MGMT AUC=0.88, TERT AUC=0.76, 1p/19q AUC=0.71).Conclusion: The mixed model is an effective tool to distinguish genic phenotype of brain glioma which have highest diagnostic efficiency than other models.

3629
Booth 11
Neuroimaging-based brain age prediction of first-episode schizophrenia and the alteration of brain age after early medication
Xu-Sha Wu1, Yi-Bin Xi1, and Hong Yin1

1Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China

Schizophrenia is related to accelerated brain ageing, while individualized biomarkers are scarce. We established a brain age prediction model based on diffusion tensor imaging sequence. The difference between brain age and chronological age of first-episode schizophrenia patients and healthy controls were compared, and the longitudinal studies were performed in follow-up patients after a short-term antipsychotic treatment. The results verified the theory of accelerated brain ageing and medication have an effect on ameliorating it. Structural brain changes in schizophrenia could reveal the accelerated aging and quantification of age discrepancy could contribute to clinical decision-making and find new targeted therapies.

3630
Booth 12
Comparison of 2D- and 3D-generated Radiomics feature maps in glioblastoma tissue subtypes segmented from DCE perfusion MRI
Suhail Parvaze P1, Tejas Shah2, Jaladhar Neelavalli 3, Anup Singh4, and Rakesh K Gupta5

1Philips Innovation Campus, Bangalore, India, 2BIU, Philips Innovation Campus, Bangalore, India, 3BIU, Philips Innovation Campus, Gurugram, India, 4Center for Biomedical Engineering, Indian Institute of Technology Delhi, Bangalore, India, 5Department of Radiology and Imaging, Fortis Memorial Research Institute, Gurugram, India

Radiomics based feature value analysis and feature maps especially for first order and texture based features are being thoroughly investigated for diagnostic usability and relevance. Radiomics based feature map generation using 2D and 3D modes on different tumor sub-regions of glioblastoma were performed. 2D-based feature maps depicted accurately the texture variation with respect to other images from the slice of interest, whereas in 3D based maps anatomy and pathology of the neighboring slices induced influence resulting in over depiction of pathology. 

3631
Booth 13
Comparison of Brain Metastasis Detection Capability among 3D FFE with Parallel Imaging and CS and FASE MPV with Fast 3D Wheel
Kazuhiro Murayama1, Yoshiharu Ohno2, Kaori Yamamoto3, Takahiro Matsuyama2, Seiichiro Ota2, Masao Yui3, Masato Ikedo3, Saki Takeda4, Akiyoshi Iwase4, Satomu Hanamatsu2, Hiroyuki Nagata2, Takahiro Ueda2, Hirotaka Ikeda2, and Hiroshi Toyama2

1Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 2Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Radiology, Fujita Health University Hospital, Toyoake, Japan

We hypothesize that the newly developed wheel encoding order (Fast 3D wheel: i.e. Fast 3Dw) method can reduce examination time as well as compressed sensing (CS) with parallel imaging (PI) technique (Compressed SPEEDER) and obtain contrast-enhanced MR examination without any degradation of image quality as compared with conventional PI technique in suspected brain metastases patients.  The purpose of this study was to compare the capability for examination time reduction and image quality and diagnostic performance improvements among conventional PI, CS and Fast 3Dw methods on contrast-enhanced MR examination for brain metastases screening.

3632
Booth 14
The feasibility of contrast-enhanced 3D T1WI reconstructed with Compressed SENSE Artificial Intelligence in evaluation of brain metastases
Linna Li1, Zhongping Chen1, Renjie Lu2, Xin He1, Ying Qiu1, Dandan Guo1, Hongkun Shi1, Dan Tong1, Yi Zhu3, and Ke Jiang3

1Radiology, The First Hospital of Jilin Universty, Changchun, China, 2Ultrasound, The First Hospital of Jilin Universty, Changchun, China, 3Philips Healthcare, Beijing, China

Contrast-enhanced (CE) 3D T1-weighted scanning has been used more frequently with better spatial resolution and thinner section than 2D T1-weighted images for early detection and response assessment of brain metastases. To further improve the image scanning sequence, a new reconstruction algorithm, Compressed-SENSE Artificial Intelligence (CS-AI) was applied experimentally to achieve a balance between shortened scan time and improved image quality. This study aims to investigate the feasibility of contrast-enhanced 3D T1-weighted MRI reconstructed with Compressed SENSE Artificial Intelligence (CS-AI) by comparing with 3D T1-weighted images reconstructed with Compressed SENSE(CS), and to find out the optimal acceleration factor(AF).


Gray Matter & Neurofluids I

Gather.town Space: North West
Room: 4
Tuesday 9:15 - 11:15
Neuro
Module : Module 25: Gray Matter & Neurofluids

3633
Booth 1
Towards fast and precise tissue conductivity imaging in brain
Jun Cao1,2, Iain Ball3, and Caroline Rae1,2

1Neuroscience Research Australia, Sydney, Australia, 2School of Medical Sciences, University of New South Wales, Sydney, Australia, 3Philips Australia & New Zealand, Sydney, Australia

Here we tested the boundaries of the speed and precision of phase MREPT in brain using balanced FFE. Baseline maps with conductivity variance of < 5% could be safely accelerated with compressed SENSE 6 without sacrifice of precision, and scans acquired as quickly as 1.89 s. Precision could be further improved by whole head B1 mapping. MREPT mapping should be conducted task free for best results.

3634
Booth 2
Brain structure and volume reveal neurodevelopmental abnormalities in preterm infants with low-grade intraventricular hemorrhage
Chunxiang Zhang1, Xin Zhao1, Jinxia Guo2, Kaiyu Wang2, Meiying Cheng1, Honglei Shang1, Xueyuan Wang1, Desheng Xuan1, Lingjie Zhang1, and Xiaoan Zhang1

1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China

Premature infants with low-grade intraventricular hemorrhage (IVH) are accompanied by neurodevelopmental abnormalities. Synthetic MRI is an emerging technology that can provide brain volume quantification. Diffusion kurtosis imaging (DKI) can be sensitive to assess brain microstructure changes. Smaller myelin volume, brain parenchymal fraction, lower radial kurtosis value in cerebellum were associated with lower neonatal behavioral neurological assessment. DKI and Synthetic MRI are able to quantitatively evaluate the abnormality of the brain development in preterm infants with low-grade IVH.

3635
Booth 3
Postnatal age-related change of brain volume and its association with neurobehavior outcome in term neonates
Yuying Feng1, Linlin Zhu1, Peng xuan Bai1, Yao Ge1, Congcong Liu1, Na Zhang1, Yichu He2, Feng Shi2, Xiaocheng Wei3, Jian Yang1, and Chao Jin1

1The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China, 2Department of Research and Develpoment, Shanghai United Imaging Intelligence Co., Shanghai, China, 3Xiaocheng Wei, GEHealthcare, Beijing, China

Neonatal period is an important stage of brain development, exploring the development and evolution of brain region at this stage is significant for studying brain development and disease mechanisms. We analyzed the relationship between segmented brain region volume and postnatal age in term neonates, the results showed that, after controlling for gestational age, birth weight, body length, head circumference and gender factors, the volume of most brain regions of neonates was positively correlated with postnatal age. In addition, there is no correlation between the volume of most brain regions and neurobehavioral scores.

3636
Booth 4
Hippocampal subfield volumes exhibit differences in ME/CFS and are associated with clinical measures
Kiran Thapaliya1,2, Donald Staines1, Sonya Marshall-Gradisnik11, Jiasheng Su1, and Leighton Barnden1

1Menzies Health Queensland, NCNED, Griffith University, Southport, Australia, 2Centre for Advanced Imaging, The University of Queensland, St Lucia, Australia

Myalgic Encephalomyelitis/chronic fatigue syndrome (ME/CFS) patients suffer from a variety of physical and neurological complaints indicating involvement of the central nervous system including cognitive and memory dysfunction along with a variety of disabling physical symptoms. The hippocampus plays a key role in cognitive function and is altered in neurodegenerative diseases. In this study, we evaluated the volumetric changes in the subfields of the hippocampus in ME/CFS and performed a correlation between hippocampal subfield volumes and clinical measures.  Our study showed that hippocampal subfield volumes were lower/higher in ME/CFS patients compared with healthy controls and are also associated with clinical measures

3637
Booth 5
Regional Hippocampal Changes in Patients with Hyperthyroidism
Sadhana Singh1,2, Poonam Rana1, Pawan Kumar1, Prabhjot Kaur1, L Ravi Shankar3, and Subash Khushu1,2

1NMR Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), Delhi, India, 2The University of Trans-disciplinary Health Sciences and Technology, Bangalore, India, 3Thyroid Research Centre, Institute of Nuclear Medicine and Allied Sciences (INMAS), Delhi, India

Hyperthyroid patients showed structural and functional abnormalities in the hippocampus region of the brain as suggested by neuroimaging studies. However, the extent of structural, functional, and metabolic changes in hyperthyroid patients is still unclear. We examined the regional hippocampal volume and neuro-metabolite changes in hyperthyroid patients using high resolution T1-weighed imaging and 1H MRS techniques. Hyperthyroid patients showed reduced bilateral hippocampal volume and altered metabolic changes, i.e., Glu/tCr, mI/tCr, and NAA/tCr ratios in the hippocampus, compared to healthy controls. These findings provide evidence that hyperthyroidism results in structural and metabolic alterations in the hippocampus region of the brain.  

3638
Booth 6
Iron deposition decreased in the thalamus and functional connectivity increased between the thalamus and the hippocampus in T2DM patient
Minhua Ni1,2, Linfeng Yan1, Xiaocheng Wei3, and Guangbin Cui1

1Tangdu Hospital, XI an, China, 2Shaanxi University of Chinese Medicine, Xian yang, China, 3MR Research, GE Healthcare, Beijing, China

In this study, change of susceptibility level in the gray matter nucleus of T2DM patients and their functional connectivity were investigated using quantitative susceptibility mapping (QSM) and fMRI techniques. We found iron deposition decreased in the thalamus and functional connectivity increased between the thalamus and the hippocampus. Susceptibility reduction suggested an involvement of chronic microglia activation in the depletion of iron from oligodendrocytes in this central and integrative brain region. The functional connectivity may indicate a compensatory enhancement. These results remind that the thalamus may play an important role in patients with T2DM.

3639
Booth 7
Global and Regional Iron Content Changes of Gray Nucleus Using Quantitative Susceptibility Mapping in Type 2 Diabetes Mellitus Patients
Rui Hu1, Yangyingqiu Liu1, Bingbing Gao1, Wanyao Li1, Weiwei Wang1, Qingwei Song1, Ailian Liu1, and Yanwei Miao1

1Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China

Assessing whole-structural and regional high iron content in deep gray matter nuclei using STAGE-based QSM in T2DM Patients. Excessive deposition and uneven distribution of iron protein occur in all nuclei in T2DM patients. The MSVwh of significant differences (P < 0.05) between groups were present in right HCN, right PUT, bilateral GP, right STN and left GF, with the largest AUC of 0.723 in the right GP. The MSVhi in right HCN, right PUT, bilateral GP and left GF were significant differences (P < 0.05) With a largest AUC of 0.714 in right GP.


3640
Booth 8
Correlation between Iron Burden and Cognitive Status in Type 2 Diabetes Mellitus Patients Using Quantitative Susceptibility Mapping
Rui Hu1, Yangyingqiu Liu1, Bingbing Gao1, Wei Du1, Weiwei Wang1, Qingwei Song1, Ailian Liu1, and Yanwei Miao1

1Radiology, First Affiliated Hospital of Dalian Medical University, Dalian, China

The relationship between iron accumulation and cognitive decline in T2DM has not been fully revealed and publicized. This research focuses on assessing the global iron content and high iron content levels of the gray nucleus using QSM, and to analyze the correlation between MSV with significant differences and clinical laboratory indicators and cognitive scores in T2DM Patients. Excessive deposition and uneven distribution of iron protein occur in all nuclei in T2DM patients. Iron is important in the pathophysiology of T2DM, especially the MSVhi in the right PUT was significantly negatively correlated with MoCA (r = -0.485, P = 0.004).


3641
Booth 9
Gray matter difference associated with hormone replacement therapy in menopausal women: a voxel-based morphometry (VBM) study
Tae-Hoon Kim1, Chang-Won Jeong1, ByoungRyun Kim2, Youe Ree Kim3, Chungsub Lee1, Young Hwan Lee3, and Kwon-Ha Yoon3

1Medical Convergence Research Center, Wonkwang University, Iksan, Korea, Republic of, 2Obstetrics and Gynecology, Wonkwang University School of Medicine and Hospital, Iksan, Korea, Republic of, 3Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea, Republic of

Hormone replacement therapy (HRT) in menopausal women can reduce troublesome menopause symptoms and prevent cognitive decline. Several structural and volumetric researches reported that localized morphologic changes associated with estrogen meditation. However, it is still unclear how to minimize menopausal symptoms and to protect a woman’s brain from decline. This study investigated the potential effects of HRT on sex hormone level and brain morphology using an optimized voxel-based morphometry (VBM) method.

3642
Booth 10
Distinct brain structures prospectively predict  posttraumatic stress symptoms and posttraumatic growth related to COVID-19
Huan Lan1, Xueling Suo1, Chao Zuo1, Nanfang Pan1, Song Wang1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China

Post-traumatic stress symptoms (PTSS) and post-traumatic growth (PTG) might develop after a major trauma, but their neurological bases are largely unknown. Here, we used structural magnetic resonance imaging acquired prepandemic to explore the neuroanatomical correlates in 115 college students. The PTSS and PTG scores were collected during the epidemic. We found that PTSS was positively associated with gray matter volume (GMV) in the medial prefrontal cortex, and PTG was negatively correlated with the GMV in the dorsolateral prefrontal cortex. Our research revealed the neural underpinnings of post-traumatic consequences in healthy students, suggesting PTSS and PTG are two distinct psychological changes.

3643
Booth 11
Altered neurochemical cerebral metabolism in patients with gluten ataxia: A pilot in-vivo proton MRS study
Uma Sharma1, Vishwa Rawat1, Prasenjit Das2, Achal Kumar Srivastava3, and Govind Makharia4

1Department of NMR, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 2Department of Pathology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 3Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi, India, 4Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences (AIIMS), New Delhi, India

Present study evaluated the neurochemical profile of vermis and right cerebellum of GA patients using 1H MRS. The concentration of N-acetyl aspartate (NAA), glycerophosphocholine (GPC)+phosphocholine (PC), creatine (Cr) + phosphocreatine  (PCr) and glutamine (Gln)+glutamate (Glu) were significantly lower in the right cerebellum of patients with GA compared to HC. The concentration of NAA, Cr and Glu were significantly lower in vermis region of patients with GA compared to HC indicating altered cerebral metabolism in GA patients that would have contributed to cerebral damage.  The metabolites NAA, GPC+PC, Glu+Gln may have the potential to serve as early indicators of neuronal damage.

3644
Booth 12
Posterior fossa radiomics based diagnosis of Essential tremor from T1-weighted MRI
Archith Rajan1, Shweta Prasad2, Priyanka Tupe Waghmare1,3, Jitender Saini4, Pramod Kumar Pal5, and Madhura Ingalhalikar1

1Symbiosis Centre for Medical Image Analysis, Symbiosis International University, Lavale, Mulshi, Pune, India, 2Department of Clinical Neurosciences and Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India, 3Symbiosis Institute of Technology, Symbiosis International University, Lavale, Mulshi, Pune, India, 4Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India, 5Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India, Bengaluru, India

The cerebellum and its connections (cerebellar peduncles) have been implicated to play a significant role in the pathogenesis of essential tremor (ET). However, these abnormalities may not be grossly evident on basic structural imaging. To this end, we employ radiomics on 3D-T1 weighted images to capture subtle features of pathology and use it in a machine learning framework to deliniate patients with ET.  We demonstrate a test accuracy of 83% with radiomics features from dentate nucleus contributing the most, followed by the right V. It thus suggests the potential utility of radiomics features from these structures for diagnosis of ET.

3645
Booth 13
Decreased brain GABA levels in patients with migraine without aura: an exploratory 1H-MRS study
Xiaojuan Wu1, Shuting Han1, Yang Yang1, Hui Dai1, Peng Wu2, Hongru Zhao3, and Yonggang Li1

1Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China, 2Philips Healthcare, Shanghai, China, 3Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China

Increasing neurophysiological studies had revealed that regional excitation-inhibition imbalance in brain played a key role in the pathogenesis of migraine. This study explored the alterations in GABA and Glx levels in the anterior cingulate gyrus (ACC) and medial prefrontal lobe (mPFC) of patients with migraine without aura (MWoA) using MEGA-PRESS at 3 Tesla. Compared with healthy controls, the GABA+ levels in the ACC and mPFC of patients were lower and correlated with attack frequency, and Glx levels had no difference, suggesting a relationship of the abnormalities of GABAergic system in the ACC and mPFC with the pathophysiological mechanism of MWoA. 


3646
Booth 14
Neuronal metabolic biomarkers in cerebellum of Spinocerebellar ataxia type 2 and 12 patients
Pankaj Pankaj1, S Senthil Kumaran1, Achal Kumar Srivastava2, and Ramesh Kumar Agrawal3

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, 3School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, India

Spinocerebellar Ataxia (SCA) is a genetic and hereditary disorder that leads to severe disability in balance, speech, posture, etc. SCA2 and SCA12 are two sub-types, which have different CAG repeat expansion on chromosome with different pathologies. In vivo MR spectroscopy was acquired using single voxel Point Resolved Spectroscopy Sequence (PRESS) in the left cerebellum. SCA2 showed a decrease in NAA and Cho and increased mI concentration as compared to controls and an increase in mI values as compared to that in SCA12, which may be attributed to the motor and cognitive dysfunctions in SCA, reflecting more atrophy in SCA2.

3647
Booth 15
Comparative analysis of diffusion-weighted image analysis along the perivascular space (DWI-ALPS) for evaluating interstitial fluid status
Toshiaki Taoka1, Rintaro Ito1, Rei Nakamichi2, Toshiki Nakane2, Kazushige Ichikawa3, Mayuko Sakai4, and Shinji Naganawa2

1Department of Innovative Biomedical Visualization (iBMV), Nagoya University, Nagoya, Japan, 2Department of Radiology, Nagoya University, Nagoya, Japan, 3Devision of Radiology, Nagoya University Hospital, Nagoya, Japan, 4Canon Medical Systems Corporation, Otawara, Japan

The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method has been developed to evaluate glymphatic function. In order to evaluate wider clinical cases, we developed a diffusion weighted image ALPS (DWI-ALPS) technique. The ALPS-index was retrospectively calculated by clinical DWI of normal subjects and those with pathologies. In normal subjects, the ALPS-index was highest in those in their forties and lowest in those in their seventies. Patients with Alzheimer’s disease and subdural hematoma showed a lower ALPS-index than age-matched normal subjects. The DWI-ALPS method seems to be feasible for evaluation of glymphatic function in the clinical practice.


Data Acquisition & Artefacts I

Gather.town Space: North West
Room: 3
Tuesday 9:15 - 11:15
Neuro
Module : Module 25: Gray Matter & Neurofluids

3648
Booth 1
The Role of Electric Properties Tomography in Biochemical Analysis of the Cerebrospinal Fluid and Parameter Optimization for Improved Accuracy
Khin Khin Tha1, Ulrich Katscher2, Hiroyuki Hamaguchi3, Xinnan Li3, Tomohiro Kawasaki4, Shigeru Yamaguchi5, Ichiro Yabe5, and Hideki Hyodoh5

1Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Japan, 2Philips Research, Hamburg, Germany, 3Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, 4Hokkaido University Hospital, Sapporo, Japan, 5Hokkaido University Faculty of Medicine, Sapporo, Japan

This study was aimed to evaluate if electrical conductivity (σ) by electric properties tomography (EPT) could detect variations in the cerebrospinal fluid (CSF) biochemical composition and if optimization of scan and analysis parameters improved the accuracy of in vivo σ measurements. σ values varied among patients and CSF samples with varying CSF biochemical composition, and showed significant correlation with CSF albumin concentration and total cell count. σ may be sensitive to CSF abnormalities. Optimization of scan and analysis parameters is important for the accuracy of in vivo σ measurements. 

3649
Booth 2
Quantification of fine CSF dynamics using Intra-Voxel Incoherent Motion (IVIM) MRI
Shigeki Yamada1,2, Yoshiyuki Watanabe3, Tomohito Otani4, Shinnosuke Hiratsuka3, Masahiro Yoshimura3, Naoki Takeishi4, Shigeo Wada4, Marie Oshima2, and Kazuhiko Nozaki1

1Neurosurgery, Shiga University of Medical Science, Otsu, Japan, 2Interfaculty Initiative in Information Studies, Institute of Industrial Science, The University of Tokyo, Tokyo, Japan, 3Radiology, Shiga University of Medical Science, Otsu, Japan, 4Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Osaka, Japan

The f value calculated by the Intra-Voxel Incoherent Motion (IVIM)  MRI was was high in the areas where the CSF flow was reported to be fast, specifically in the cerebral aqueduct and subarachnoid spaces around the major intracranial arteries. Therefore, f value was considered to reflect flow velocity of CSF, regardless of its direction.  The mean f values in the whole lateral ventricles, anterior part of the third ventricle, ambient cisterns, central sulci, and marginal sulci were significantly lower and that in the foramina of Luschka was significantly higher among 28 iNPH patients, compared with 57 healthy volunteers.

3650
Booth 3
Evaluating Repeatability of Low b-value DTI of CSF using Novel Angular Tensor-Correlation-Coefficient
Yoshitaka Bito1,2, Hisaaki Ochi1,2, Kuniaki Harada2, Ryuji Shirase1, and Kohsuke Kudo2

1FUJIFILM Healthcare Corporation, Tokyo, Japan, 2Hokkaido University Graduate School of Medicine, Sapporo, Japan

Low b-value DTI (Low-b DTI) has been recently proposed for investigating the CSF pseudorandom flow. High repeatability of Low-b DTI is essential for the investigation; however, an efficient index evaluating repeatability of both shape and orientation of DT has not been presented. In this study, a new index, angular tensor-correlation-coefficient (ATCC), was proposed and was demonstrated to have good features in understanding the degree of repeatability by Monte Carlo simulation. ATCC was used to evaluate the repeatability of an experiment about Low-b DTI of CSF and showed high repeatability of this experiment.


3651
Booth 4
Improved Motion Correction in Dynamic Contrast Enhancement MRI Using Low Rank with Soft Weighting
Jichang Zhang1, Xinpei Wang1, Faisal Najeeb2, Pengfei Xu1, Hammad Omer2, Penny Gowland3, Sue Francis3, Paul Glover3, Richard Bowtell3, and Chengbo Wang1

1SPMIC, The University of Nottingham Ningbo China, Ningbo, China, 2COMSATS University Islamabad, Islamabad, Pakistan, 3SPMIC, The University of Nottingham, Nottingham, United Kingdom

This work presents a robust motion corrected free breathing Dynamic Contrast Enhanced MRI (DCE-MRI) reconstruction method called Low rank plus sparse (L+S) with soft weighting which compressed motion blurring by employing a soft weighting matrix. The motion correction performance was quantified in this work. A computer simulation framework based on a modified shepp-logan model was developed with the ground truth to quantify the reconstruction errors.  The proposed method achieved better motion correction and high reconstruction efficiency simultaneously.

3652
Booth 5
Accelerate Single-Channel MRI by Exploiting Uniform Undersampling Aliasing Periodicity through Deep Learning
Christopher Man1,2, Zheyuan Yi1,2, Vick Lau1,2, Jiahao Hu1,2, Yujiao Zhao1,2, Linfang Xiao1,2, Alex T.L. Leong1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China

Conventional parallel imaging methods mostly utilize the spatial encoding by array of receiver coils to unfold the periodic aliasing artifact resulted from uniformly undersampled k-space data. In scenarios such as low- or ultra-low-field MRI where effective receiver arrays do not exist and SNRs are low, these methods are not generally applicable. This study presents a U-Net based deep learning approach to single-channel MRI acceleration that unfolds the aliasing by exploiting its periodicity. The results demonstrate the aliasing unfolding capability of this method for single-channel MRI even at very high acceleration and in presence of pathologies.

3653
Booth 6
Free-breathing Water-fat Separation and T1 Mapping of the Whole Liver with Isotropic Resolution using 3D Golden Angle Radial Trajectory
Yajie Wang1, Haikun Qi2, Yishi Wang3, and Huijun Chen1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 2School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 3Philips Healthcare, Beijing, China

T1 mapping of the liver has been used for the diagnosis and grading of the liver disease, and the evaluation of the liver function, while conventional liver T1 mapping techniques need breath-holding, have limited slice coverage or need multiple acquisitions. In addition, the accuracy of the T1 quantification is affected by the presence of fat in the liver. In this study, free-breathing water-fat separation and T1 mapping quantification of the whole liver was achieved within one scan using the proposed mGOAL-SNAP sequence. The quantitative accuracy and the in-vivo feasibility of mGOAL-SNAP have been demonstrated in phantom and volunteers studies.

3654
Booth 7
Comparison of BOLD detectability of ‘multi shot EPI’ and ‘single shot EPI with GRAPPA’ at 7T
Guoxiang Liu1,2, Adnan Shah1,2, Takashi Ueguchi1,2, and Seiji Ogawa1,3

1NICT, Osaka, Japan, 2Graduate School of Frontier Biosciences, Osaka University, Osaka, Japan, 3Tohoku Fukushi University, Sendai, Japan

We compare the detectability of multi shot EPI (msEPI) and single shot EPI with GRAPPA (ssEPI-GRAPPA) using D-value maps to show the benefit of BISEPI (Block-Interleaved Segmented EPI) [1] for the same total acquisition time. D-values were derived based on the relationship between target effect, the significance level of detection, the number of time points (volumes), and tSNR [2]. The proposed D-value maps can be a useful quality assurance measure for determining the tSNR gain and activity detection performance of msEPI in comparison to ssEPI-GRAPPA in high-resolution fMRI at 7T.

3655
Booth 8
SNR boost in whole-body DWIBS utilizing deep learning constrained Compressed SENSE reconstruction
Masami Yoneyama1, Takashige Yoshida2, Johannes M Peeters3, Jihun Kwon1, Yasutomo Katsumata3, Shuo Zhang4, and Marc Van Cauteren3

1Philips Japan, Tokyo, Japan, 2Tokyo Metropolitan Police Hospital, Tokyo, Japan, 3Philips Healthcare, Best, Netherlands, 4Philips GmbH Market DACH, Hamburg, Germany

Diffusion weighted whole body imaging with background body signal suppression (DWIBS) is an important tool for whole body imaging to e.g. visualize malignant tumor and abnormal lymph nodes. Next to the low intrinsic SNR of DWIBS, direct coronal DWIBS can suffer from another SNR penalty due to the high acceleration factors to minimize distortion. In this work, we compare SENSE, C-SENSE and C-SENSE-AI (CS-AI) accelerated direct coronal DWIBS scans. Results indicate that CS-AI clearly reduces the noise artifacts, boosts the overall image SNR, and improves lesion conspicuity.


Imaging Head, Spinal Cord & Nerves

Gather.town Space: North East
Room: 6
Tuesday 14:30 - 16:30
Neuro
Module : Module 17: White Matter & Nervous System

3873
Booth 1
Model-free mapping of neural activation in brain white matter based on local fiber architecture
Yu Zhao1, Yurui Gao1, Zhongliang Zu1, Muwei Li1, Kurt Schilling1, Adam W. Anderson1, Zhaohua Ding1, and John C. Gore 1

1Vanderbilt University Medical Center, Nashville, TN, United States

We propose a model-free method to detect BOLD signal changes in brain white matter (WM) without an assumption of a hemodynamic response function or a linear shift-invariant response as assumed in conventional general linear models. Instead, neural activations are measured by the synchrony of BOLD signals under constraints of the anisotropic architecture of WM fibers. A 60 subject sub-group sourced from the Human Connectome Project database was used to validate the proposed method at a group level. Our results demonstrate that the proposed method can probe neural activations in WM with high sensitivities and high specificities.

3874
Booth 2
Local BOLD correlations in white matter measured under constraints of fiber orientation
Yurui Gao1, Yu Zhao2, Kurt G Schilling2, Muwei Li2, Adam W Anderson1, Zhaohua Ding1, and John C Gore2

1VANDERBILT UNIVERSITY, Nashville, TN, United States, 2Vanderbilt University Medical Center, Nashville, TN, United States

Correlations between BOLD signals from adjacent voxels in white matter (WM) are anisotropic and appear similar to metrics that describe functional connectivity in gray matter. We propose a method to measure the fiber-oriented correlation (FOC) between BOLD signals in WM. This method was implemented on both resting state and motor task fMRI data across 64 HCP subjects. The FOC map revealed WM areas apparently engaged in default mode network and visual function in both rest and task conditions. The motor task map also delineates the corticospinal tract. The proposed metric FOC may be valuable for investigating functional WM pathways.  

3875
Booth 3
White Matter Tract Microstructure Influences Semantic Memory & Emotion Perception Performance in the HCP Dataset
Leo R. Zekelman1,2, Fan Zhang3, Nikos Makris4,5, Jianzhong He3, Yuqian Chen3,6, Tengfei Xue3,6, Daniela Liera7, Daniel L. Drane8,9,10, Yogesh Rathi3,11, Alexandra J. Golby1,3, and Lauren J. O'Donnell3

1Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, United States, 2Speech and Hearing Bioscience and Technology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 4Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States, 5Department of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 6School of Computer Science, University of Sydney, Sydney, Australia, 7Harvard College, Cambridge, MA, United States, 8Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 9Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States, 10Department of Neurology, University of Washington School of Medicine, Seattle, WA, United States, 11Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States

Using dMRI and behavioral data from 809 participants in the Human Connectome Project, we examined how the microstructure of the white matter (WM) association tracts influences performance on assessments of semantic memory and emotion perception. WM tracts were extracted and measured using an automated WM tract atlas. We found the microstructure of left hemisphere tracts influenced semantic memory, while that of right hemisphere tracts influenced emotion perception performance. Furthermore, the microstructure of the left arcuate fasciculus influenced performance on both assessments. Our findings suggest WM tract microstructure relates to the opposing hemispheric dominance of language and theory of mind processing.

3876
Booth 4
Estimation of axon-bundle parallel-diffusivity on clinical settings with linear-encoding DW-MR data
Pablo Antonio Stack-Sanchez1, Alonso Ramirez-Manzanares1, Arturo Gonzalez-Vega2, Jose Luis Marroquin1, and Luis Concha3

1Computer Science, Centro de Investigación en Matemáticas A.C., Guanajuato, Mexico, 2Department of Chemical, Electronic and Biomedical Engineering, Division of Sciences and Engineering, University of Guanajuato, Guanajuato, Mexico, Leon, Mexico, 3Institute of Neurobiology, Universidad Nacional Autonoma de Mexico, Juriquilla, Mexico

The estimation of reliable parameters of multi-compartment models of water diffusivity is a challenging open problem, especially when low-SNR clinical-datasets are analyzed. The ill-posedness of the models requires fixing a subset of parameters in order to estimate the rest of them. We propose a simple and fast method where only averaged parameters are required (not voxelwise information is required). The method is based on the processing of powder-averaged data to estimate a robust value for the axon-bundle parallel-diffusivity. We test the robustness of the method on synthetic experiments and show the results on in-vivo human and ex-vivo rodent datasets.

3877
Booth 5
Exploring the Application of Compressed-SENSE Accelerated Fast MR Based Bone Imaging Method in CVJ Anomalies: Preliminary Experience
Sabha Ahmed1, Jitender Saini1, Nupur Pruthi2, Alok Mohan Uppar2, Rashmi Rao3, Kumar Madan3, Narayan Krishna Rolla3, and Indrajit Saha3

1Neuroimaging and interventional radiology, NIMHANS, Bangalore, India, 2Neurosurgery, NIMHANS, Bangalore, India, 3Philips India Ltd, Bangalore, India

Imaging analysis of craniovertebral junction anomalies comprises of bony, ligament, vascular and spinal cord evaluation. MDCT falls short in the evaluation of the latter while conventional MRI does not offer optimal bone resolution. Novel Compressed SENSE accelerated Fast field echo resembling a CT using restricted echo-spacing (CS-FRACTURE) technique is a bid to overcome this shortcoming in routine clinical setup and we aim to explore the same.

3878
Booth 6
Probing evidence of brain macrostructural disruptions in coronary artery disease: A diffusion MRI tractometry study
Stefan E. Poirier1,2, Neville Suskin3, Keith S. St. Lawrence1,2, Christopher McIntyre1,2,4, Jonathan D. Thiessen1,2, J. Kevin Shoemaker5, and Udunna C. Anazodo1,2

1Lawson Imaging, Lawson Health Research Institute, London, ON, Canada, 2Medical Biophysics, Western University, London, ON, Canada, 3Cardiology, Western University, London, ON, Canada, 4Lilibeth Caberto Kidney Clinical Research Unit, London Health Sciences Centre, London, ON, Canada, 5School of Kinesiology, Western University, London, ON, Canada

White matter (WM) breakdown is linked to cognitive impairment in coronary artery disease (CAD). We used diffusion MRI tractometry to assess the effects of cardiac disease, brain aging, and cardiac rehabilitation (CR) on regional WM macrostructure in brains of CAD patients. WM disruptions were found in CAD patients at baseline (pre-CR) compared to controls and in old controls compared to young controls. WM improvements, especially in regions linked to cognition, were observed in CAD patients following CR. Both cardiac disease and brain aging may contribute to WM dysfunction in CAD, and these WM disruptions may be favourably modified by CR.

3879
Booth 7
A Learning Method to Estimate Multi-compartmental T2 Distributions with low Data Requirements
Daniel Vallejo-Aldana1, Arturo Gonzalez-Vega2, Victor H Hernandez2, Valeria Piazza3, Milvia Alata3, Jonathan Rafael-Patiño4,5, Thomas Yu4,6, Luis Concha7, and Alonso Ramirez-Manzanares8

1Mathematics Department, Universidad de Guanajuato, Guanajuato, Mexico, 2Department of Chemical, Electronic and Biomedical Engineering, Division of Sciences and Engineering, University of Guanajuato, Leon, Mexico, 3Center of Research in Optics, Leon, Mexico, 4Signal Processing Lab 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 5Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, 6Medical Image Analysis Laboratory, Center for Biomedical Imaging (CIBM), University of Lausanne, Lausanne, Switzerland, 7Institute of Neurobiology, Universidad Nacional Autonoma de Mexico, Juriquilla, Mexico, 8Computer Science, Centro de Investigación en Matemáticas A.C., Guanajuato, Mexico

The estimation of intravoxel distributions of T2 values based on multi-echo MR data is a challenging task. Interestingly, the information above is quite useful to detect damage on brain tissue,  e.g. to estimate myelin-water-fraction changes associated with demyelination processes. Currently available methods typically require a long train of echoes, which are not always feasible to acquire. In this work we tackle this problem using state-of-the-art supervised learning convolutional networks to build a robust prediction model on very limited data ( 5 echoes and 4 TR). The methodology identifies myelin abnormalities in a rodent model of a neurological disorder with demyelination.

3880
Booth 8
Folate Intake during Pregnancy is Associated with Greater White Matter Development in the Newborn Brain
Natalie E. Phelan1, Rajikha Raja2, Aline Andres3,4, and Xiawei Ou2,3,4,5

1College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 2Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 3Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 4Arkansas Children's Nutrition Center, Little Rock, AR, United States, 5Arkansas Children's Research Institute, Little Rock, AR, United States

This study examined potential relationships between maternal folate intake during pregnancy and neonatal brain white matter development. Healthy pregnant women were recruited at early pregnancy and their newborns underwent a brain MRI examination at ~2 weeks of age, including diffusion tensor imaging to assess white matter development. We found that folate intake during the second trimester of pregnancy positively correlated with fractional anisotropy (FA) values in brain white matter regions including the genu of corpus callosum and the external capsule. Our findings suggest positive impact of maternal folate intake during pregnancy on offspring brain white matter development.

3881
Booth 9
Can a sub 2-minute MRI exam compete with CT for imaging sinus anatomy?
Sarah Reeve1,2, Mark Parker2,3, James Rioux1,2,4, Elena Adela Cora4,5, Chris Bowen1,2,4, Steven Beyea1,2,4,6, and David Volders4,5

1Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada, 2Biomedical Translational Imaging Centre, QEII Health Sciences Centre, Halifax, NS, Canada, 3Medicine, Dalhousie University, Halifax, NS, Canada, 4Diagnostic Radiology, Dalhousie University, Halifax, NS, Canada, 5Diagnostic Imaging, Nova Scotia Health, Halifax, NS, Canada, 6School of Biomedical Engineering, Dalhousie University, Halifax, NS, Canada

MRI of the paranasal sinuses with bSSFP sequences is not typically performed due to prohibitive exam times and the prevalence of artifacts caused by off-resonance effects. We have shown that bSSFP images acquired in under 2 minutes using high-performance gradients at low field resist banding artifacts and demonstrate SNR and resolution sufficient to delineate relevant structures. This is supported by high SNR values in tissues and fluid-filled spaces, and low SNR in the air-filled maxillary sinus. 2-minute scan times compete with CT for clinical work flow and demonstrate the potential of MRI for high throughput sinus pathology evaluation.

3882
Booth 10
Can Proximal Nerve Morphometrics Predict Disease Severity in Polyneuropathies?
Yongsheng Chen1, Alexandar Bezanovski1, Sadaf Saba1, Vince Marceau1, Yang Xuan2, Mariam Tariq1, Xue Yang1, and Jun Li1

1Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 2Radiology, Wayne State University School of Medicine, Detroit, MI, United States

Human sciatic nerve morphometrics were measured for nerve volume, fascicle volume, and fascicle density using a 3D gradient echo sequence with an in-plane resolution of 0.15 x 0.15 mm2. Metrics from healthy controls showed a moderate correlation of nerve and fascicle volumes with body mass index but not with age. There was a strong correlation between nerve volume and the clinical score of disease severity in patients with hereditary neuropathy with liability to pressure palsies.


3883
Booth 11
Quantitative MRI Reveals Nerve Pathology in a HNPP Mouse Model
Yongsheng Chen1, Yimin Shen2, Daniel Moiseev1, Zafar Wazir1, Bo Hu1, and Jun Li1

1Neurology, Wayne State University School of Medicine, Detroit, MI, United States, 2Radiology, Wayne State University School of Medicine, Detroit, MI, United States

Quantitative MRI (qMRI) methods were developed to measure T1, T2, proton density, and MTR of mouse sciatic nerve in-vivo. Pmp22+/- mouse, an animal model of hereditary neuropathy with liability to pressure palsies (HNPP), was imaged at 3- and 6-month of age. The imaging demonstrated an increase of MTR, and a decrease of proton density and T1 in the Pmp22+/- nerves, compared with those in wild-type nerves. These qMRI changes correlate with the growth of HNPP pathology – tomacula formed by excessive myelin folding over time. Ongoing experiment is to determine the pathological and molecular substrates responsible for the qMRI findings.

3884
Booth 12
Quantitative susceptibility mapping of early myelination in the posterior limb of internal capsule in neonates
Brian Ma1, Lara Bartels1,2, Christian Kames1,2, Yuting Zhang3, Alexander Weber1,4, and Alexander Rauscher1,2,4,5

1UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 2Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing, China, 4Division of Neurology, Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada, 5Department of Radiology, University of British Columbia, Vancouver, BC, Canada

We performed quantitative susceptibility mapping (QSM) of the posterior limb of internal capsule (PLIC) in human neonates. As the PLIC is one of the earliest structures to myelinate, it is clearly visible as a hypointense structure on QSM.  This work investigates the potential as a marker for brain health in neonates. There were no significant differences in magnetic susceptibility of the PLIC between healthy controls, injured preterm, and injured term neonates.

3885
Booth 13
Reduced white matter venous density is associated with neurodegeneration and cognitive impairment: a susceptibility weighted imaging study
Chenyang Li1, Henry Rusinek1, Jingyun Chen1,2, Louisa Bokacheva2, Alok Vedvyas2, Arjun Masurkar2, Thomas Wisniewski2, E.Mark Haacke3, and Yulin Ge1

1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Department of Neurology, NYU Grossman School of Medicine, New York, NY, United States, 3Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States

High resolution SWI images provide unique contrast to small venous vasculature. The conspicuity of small veins on SWI venography, such as deep medullary vein in white matter (WM), is susceptible to venous blood oxygenation level changes. This study demonstrates a significant association between WM venous density and neurodegenerative feature characterized by brain atrophy in the elderly, but no significant association of WM venous density to white matter hyperintensities (WMHs) load. Further clinical correlative analysis revealed a significant correlation of WM venous density to semantic fluency and different stages of cognitive status.


Neurodegeneration: Aging, AD & MS

Gather.town Space: North West
Room: 3
Tuesday 16:45 - 18:45
Neuro
Module : Module 9: Multiple Sclerosis, Alzheimer's and Dementia

3954
Booth 1
A modern machine-learning approach to reveal the role of multiple sclerosis lesions in inducing cortical tissue loss
Constantina Treaba1, Allegra Conti2, Ambica Mehndiratta1, Valeria Barletta1,3, Caterina Mainero1,3, and Nicola Toschi1,2

1Radiology, Massachusetts General Hospital; A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Department of Biomedicine and Prevention, University of Rome “Tor Vergata", Rome, Italy, 3Harvard Medical School, Boston, MA, United States

In multiple sclerosis (MS), cortical atrophy could result from extensive axonal transection from distant white matter lesion and/or local cortical demyelination. The destructive potential of MS white matter lesions, however, seem to differ across lesion types, being higher for chronic active lesions detectable on susceptibility weighted images by their characteristic paramagnetic rim. Using 7T MRI that has shown increased sensitivity to cortical lesions and modern machine learning algorithms, we demonstrate that both white matter and cortical lesions are main determinants of cortical thinning. Despite their destructive capacity, chronic active lesions are not major contributors of cortical tissue loss.

3955
Booth 2
Evaluation of automatic segmentation of perivascular spaces in multiple sclerosis patients and healthy controls on 3T MRI
Joan Brewer1, Ilena George2, Gale Edison1, Joy Zhang2, Sarah King2, James Sumowski2, Priti Balchandani2, Gaurav Verma2, Rebecca Feldman1, and Sam Horng2

1University of British Columbia Okanagan, Kelowna, BC, Canada, 2Icahn School of Medicine at Mount Sinai, New York, NY, United States

Multiple Sclerosis (MS) is an autoimmune disease; disease can be measured on MRI by the appearance or enlargement of lesions. PVS measurements on MRI may represent a more predictive biomarker of disease. Because manual measurement of PVSs is time intensive, our collaborators developed a tool to automatically segment PVSs. Here, we investigated the utility of the automatic segmentations. We correlated the automated PVS counts with manual segmentations (0.66), as well as the PVS areas (0.55). Differences between healthy control and MS groups in this preliminary analysis were not statistically significant. Future work will expand from 45 to 300 patients.


3956
Booth 3
White matter inflammation and its relation to myelin content in vivo in patients at different stages of multiple sclerosis.
Valeria Barletta1, Elena Herranz1, Constantina Andrada Treaba1, Ambica Mehndiratta2, Russell Ouellette3, Tobias Granberg4, Eric Klawiter5, Carolina Ionete6, Jacob Sloane7, and Caterina Mainero1

1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 3Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden, 4Karolinska University Hospital, Department of Neuroradiology, Stockholm, Sweden, 5Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 6Umass Memorial Medical Center, Worcester, MA, United States, 7Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States

We combined 11C-PBR28 magnetic resonance-positron emission tomography, marking activated microglia, with synthetic MRI to measure myelin content, on a group of 33 patients affected by multiple sclerosis, to quantify neuroinflammation in the brain white matter and assess its relation to myelin content and disease burden. Microglia activation was higher in the white matter of multiple sclerosis patients compared to 16 healthy volunteers. Microglia activation within perilesional WM correlated the most with worse disease outcomes. Peripherally active lesions were related to higher disability and progressive disease. Perilesional myelin content was lower for higher inflammation and correlated with disease burden.

3957
Booth 4
Initial in vivo evidence of fibrin deposition in multiple sclerosis patients using fibrin-targeted 64Cu-FBP8 positron emission tomography
Constantina Treaba1, Ciprian Catana1,2, Eric Klawiter2,3, Susie Huang1,2, Grae Arabasz1, Valeria Barletta1,2, Elena Herranz1,2, Jacob Sloane4, Peter Caravan1,2, and Caterina Mainero1,2

1Radiology, Massachusetts General Hospital; A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Neurology, Massachusetts General Hospital, Boston, MA, United States, 4Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States

In multiple sclerosis, experimental and histopathological studies point to fibrinogen as a link between a damaged brain blood barrier and the initiation of the inflammatory demyelination and neurodegeneration in both cortex and white matter. Nevertheless, although the widespread accumulation of fibrinogen as fibrin deposits within multiple sclerosis lesions is well documented on postmortem brain tissue, in vivo evidence is still lacking. Using a novel fibrin-specific positron emission tomography probe, 64Cu-FBP8, we were able to demonstrate in vivo fibrin deposition not only in active white matter multiple sclerosis lesions but also in the cortex of a few multiple sclerosis patients.

3958
Booth 5
Quantitative T2* and T1 mapping of post-mortem MS tissue at 7T for discrimination of normal-appearing and dirty-appearing white matter pathology
Risavarshni Thevakumaran 1,2, Adam Groh 3,4, Jo Anne Stratton3,4, and David Rudko 1,2,3

1Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada, 2McConnell Brain Imaging Centre, Montreal, QC, Canada, 3Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 4Montreal Neurological Institute-Hospital, Montreal, QC, Canada

Quantitative T2* and T1 relaxometry metrics calculated at 7T have high sensitivity to myelin and can be jointly used to identify dirty-appearing white matter (DAWM) and normal-appearing white matter (NAWM) pathology in post-mortem, multiple sclerosis (MS) brain tissue. Relaxometry mapping was performed on fixed, cerebral brain samples from MS patients and healthy donors. T2* and T1 distributions in WM from MS tissue exhibited bimodality and were shifted to higher relaxation time values compared to healthy tissue. Using k-means clustering applied to 2D T2* and T1 MS tissue data, regions of DAWM were detected in periventricular WM for MS tissue samples.

3959
Booth 6
Evaluation of the robustness of carotid pulse wave velocity measurement using a single-slice oblique-sagittal phase-contrast MRI
Jianing Tang1, Soroush Heidari Pahlavian1, Helena Chui2, and Lirong Yan1,2

1USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States

Characterization of cerebral vascular compliance (VC) could offer more insights into the vascular contribution to cognitive impairment. Cerebral VC can be measured using ASL methods but with a long scan time. A recent study introduced a fast MRI technique to assess global cerebral VC by measuring carotid pulse wave velocity (cPWV) using a single-slice oblique-sagittal PC-MRI. In this study, the robustness of cPWV measurement to the variations of ROI selection has been demonstrated. The results from a pilot study on an aged cohort suggests elevated cPWV is associated with cognitive decline and could be a potential marker for cognitive impairment.  

3960
Booth 7
Differential Effect of Dementia Etiology on Cortical Stiffness as Assessed by MR Elastography
KowsalyaDevi Pavuluri1, Jonathan M. Scott2, John Huston III1, Richard L. Ehman1, Armando Manduca1,3, Clifford R. Jack1, Rodolfo Savica4, Bradley F Boeve5, Kejal Kantarci1, Ronald C. Petersen4, and Matthew C. Murphy1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States, 3Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States, 4Department of Neurology, Mayo Clinic, Rochester, MN, United States, 5Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States

Dementia is a progressive neurodegenerative syndrome characterized by impairment in memory and activities of daily living, altered behavior, personality, and other cognitive dysfunctions. Around 50 million people have dementia worldwide, and there are nearly 10 million new cases every year. MR elastography is a non-invasive imaging technique to measure the mechanical properties of tissues and has demonstrated sensitivity to neurodegenerative processes. In this study we utilized two neural network inversions to investigate the viscoelastic property changes in cortical regions with both tissue- and environment-weighting in various etiologies of dementia including Alzheimer’s, frontotemporal dementia, and dementia with Lewy bodies.

3961
Booth 8
MRI-based parenchyma CSF fraction (CSFF) mapping is a potential biomarker of brain drainage function: a multimodal imaging study
Liangdong Zhou1, Thanh Nguyen1, and Yi Li1

1Radiology, Weill Cornell Medicine, New York, NY, United States

We demonstrated that, our proposed T2 relaxometry-based free water mapping, CSFF, could be an imaging biomarker of dilated PVS and CSF clearance function by correlating it with multiple brain clearance-related measures including PVS score, PC-MRI based aqueduct CSF flow, dynamic PET based ventricle CSF clearance, amyloid beta and tau deposits. Our results show that CSFF is positively associated with PVS score, aging, amyloid beta and tau deposits. And it negatively correlates with net aqueduct CSF flow, ventricle CSF flow, and cognitive score.

3962
Booth 9
Resting-state functional networks in normal aging and asymptomatic Alzheimer's disease
Junjie Wu1, Qixiang Lin2, Benjamin B. Risk3, Aditya S. Bisht2, David W. Loring2, Felicia C. Goldstein2, Allan I. Levey2, James J. Lah2, and Deqiang Qiu1,4

1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, 2Department of Neurology, Emory University School of Medicine, Atlanta, GA, United States, 3Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, United States, 4Joint Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States

We systematically studied alterations in 14 resting-state functional networks due to normal aging and AD pathology in the asymptomatic phase, as well as their relationship with CSF biomarkers for AD and neuropsychological assessments. We found disrupted functional connectivity in most of the functional networks with normal aging and compromised left executive control network (LECN) due to asymptomatic AD pathology. Furthermore, LECN is associated with overall cognition. Tau closely correlates with functional networks in asymptomatic AD.

3963
Booth 10
Studying cerebrospinal fluid bulk flow in mice using high-resolution dynamic macromolecular gadolinium enhanced MRI on a whole-body 3T system
Wingchi Edmund Kwok1, Molly Brady2, Akib Rahman3, Alexander Solorzano3, Ronald Wood3, and Rashid Deane3

1Imaging Sciences, University of Rochester Medical Center, Rochester, NY, United States, 2Tufts University, Boston, MA, United States, 3University of Rochester, Rochester, NY, United States

Study of CSF flow can be used to assess CSF clearance pathways for the better understanding of neurological diseases, such as Alzheimer's disease. We developed a technique for macromolecular gadolinium enhanced dynamic MRI of CSF in mice on a whole-body 3T system. A specially designed 4-channel RF receive coil was developed, and a high-resolution 3D spoiled gradient-echo T1 sequence was used. Gadolinium-albumin contrast was injected into the cisterna magna. Contrast enhancement was detected in various locations including the olfactory lobe, nasal cavity, lymphatic system and spine cord. Lower contrast elimination rates were observed in old mice than in young mice.

3964
Booth 11
In vivo mapping of hippocampal venous vasculature and oxygen saturation using dual-echo SWI/QSM on 7T: a potential marker for neurodegeneration
Chenyang Li1, Li Jiang1, Marco Muccio1, Sagar Buch2, Hanzhang Lu3, E.Mark Haacke2, and Yulin Ge1

1Department of Radiology, NYU Grossman School of Medicine, New York, NY, United States, 2Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States, 3Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States

In this study, we reconstructed the venous drainage course of Basal vein of Rosenthal (BVR) and its tributaries using dual-echo SWI/QSM. Consistent with existing knowledge of venous anatomy, our results show that BVR drains blood from multiple tissue structures such as insula, amygdala and hippocampus. Inferior ventricular vein (IVV) and medial atrial vein (MAV), two tributaries of BVR, are anatomically relevant to the venous drainage in hippocampus. With the proposed technique, we extracted the venous blood susceptibility value in BVR and IVV/MAV to examine its feasibility in characterizing changes of venous oxygenation level related to hippocampal neurodegeneration.


Advanced Imaging in Neuropsychiatric & Neurodegenerative Diseases

Gather.town Space: North West
Room: 1
Tuesday 16:45 - 18:45
Neuro
Module : Module 10: Neurological Conditions

3965
Booth 1
Predictive Value of Multimodal MRI using spectroscopy and perfusion can distinguish between pseudoprogression and disease progression in GBM
Mohamed Ehab El-Abtah1, Pratik Talati 2, Melanie Fu1, Benjamin Chun1, Patrick Clark1, Anna Peters 1, Anthony Ranasinghe1, Julian He 1, Otto Rapalino1,3, Gilberto Gonzalez 1,3, William Curry 2, Jorg Dietrich 3,4, Elizabeth Gerstner4, and Eva-Maria Ratai 1,3

1Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Cancer Center, Massachusetts General Hospital, Boston, MA, United States

There is a need to determine clinical markers that can distinguish between pseudoprogression (PsP) and true progression after patients with GBM undergo resection followed by chemoradiation. We conducted a retrospective study of collected magnetic resonance spectroscopic imaging (MRSI) and perfusion weighted imaging (PWI) data with the aim of investigating their utility in predicting tumor progression. Within the enhancing region on post-contrast T1 imaging, patients with true progression have decreased myo-Inositol normalized by contralateral creatinine (mI/c-Cr), elevated lactate normalized to glutamate+glutamine (Lac/Glx), and elevated relative cerebral blood flow (rCBF) relative to those with PsP.

3966
Booth 2
High-resolution Diffusion Tensor Imaging at 7T with Multi-band Multi-shot EPI acquisition and Deep Learning Reconstruction
Xinzeng Wang1, Baolian Yang2, Marc R. Label3, Steen Moeller4, and Suchandrima Banerjee5

1GE Healthcare, Houston, TX, United States, 2GE Healthcare, Waukesha, WI, United States, 3GE Healthcare, Calgary, AB, Canada, 4Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 5GE Healthcare, Menlo Park, CA, United States

Diffusion tensor imaging (DTI) is a well-established tool for providing insights into brain network connectivity and detecting brain microstructure but suffers from artifacts, low SNR, low spatial resolution, and long scan times. High-resolution DTI at 7T with multiband MUSE (MB-MUSE) and noise reduction methods have shown many potentials for mitigating these challenges. In this study, we combine a deep learning reconstruction method with MB-MUSE to overcome the image quality challenges and demonstrate improved quantification of high-resolution DTI at 7T compared with MB-MUSE and MB-MUSE with low-rank denoising.

3967
Booth 3
Development of a High-Speed MRI Protocol with Deep Learning Reconstruction Method for Brain Imaging in a Clinical Setting
Patrick Quarterman1

1GE Healthcare, Brooklyn, NY, United States

The purpose of this study was to develop a High-Speed MRI (hsMRI) protocol with deep learning reconstruction (DL Recon) for adult and pediatric brain imaging to provide consistent, stout image quality in less than 1/4 the scan time of standard protocols. This was achieved utilizing FSE T1, SS T2w, Gradient Echo (GRE) T2*, and Diffusion Weighted & FLAIR Echo Plane Imaging (EPI) sequences. Evaluation was performed on of 20 patients comparing current protocol to hsMRI with results indicating imaging using hsMRI protocol was of clinically diagnostic quality allowing significant reduction in scan times compared to industry standard routine brain imaging protocols.

3968
Booth 4
Preoperative 7T MRI relates to medication dose reduction after chronic deep brain stimulation for Parkinson’s disease
Sharmaine Khanna1, Amirah Johnson1, Isyss Lyons1, Ben Sipes1, Olga Tymofiyeva1, Janine Lupo1, Jill Ostrem2, Doris Wang3, Philip Starr3, Ian Bledsoe2, and Melanie Morrison1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurology, University of California San Francisco, San Francisco, CA, United States, 3Neurological Surgery, University of California San Francisco, San Francisco, CA, United States

Robust objective markers that can predict an individual Parkinson’s disease (PD) patient's potential response to brain stimulation (DBS) are limited. Here we evaluate the relationship between preoperative multimodal 7T MR metrics and a surrogate measure of motor response to DBS: the pre-to-post change in daily dose of dopamine medications. We found that fMRI signal variability in the superior sensorimotor network was more strongly correlated with medication dose reduction after DBS than current clinical prognostic criteria. Brain iron accumulation in the globus pallidus interna furthermore discriminated patients who did versus did not experience a dose change. 

3969
Booth 5
Glutathione MRS of the Substantia Nigra in Parkinson Disease
Adil Bashir1, Frank M Skidmore2, and Thomas S Denney1

1Electrical & Computer Engineering, Auburn University, Auburn, AL, United States, 2Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States

Glutathione in brain provides protection from oxidative stress. Autopsy studies have shown that glutathione levels are significantly reduced in substantia nigra of patients with Parkinson disease. In this study, we demonstrate the measurement of glutathione with MR spectroscopy in the human substantia nigra in vivo at 7T. Short echo-time STEAM pulse sequence was used to obtain high SNR spectra from Parkinson disease patients and healthy controls. Measured glutathione levels were significantly lower in patients when compared to healthy individuals.

3970
Booth 6
Decreased Myelin Content on Myelin Water Imaging and Correlation with Cognitive Performance in Adults with Perinatal HIV
Payal Patel1, Alyssa Vecchio2, Peter Chen3, Jennifer Chiarella4, Shannon Kolind5, Michael Hoff1, Adam Dvorak6, Irene Vavasour5, Serena Spudich4, Christina Marra1, Robert Paul7, and Swati Rane1

1University of Washington, Seattle, WA, United States, 2University of New Mexico, Albuquerque, NM, United States, 3Albert Einstein College of Medicine, Bronx, NY, United States, 4Yale University, New Haven, CT, United States, 5University of British Columbia, Vancouver, BC, Canada, 6University of British Columbia, Vancouver, BC, United States, 7Missouri Institute of Mental Health, St. Louis, MO, United States

Little is known about the pathology of cerebral white matter injury occurring in HIV. Myelin water imaging quantifies myelin content and results are expressed as myelin water fraction (MWF). We defined the cognitive profile of virally suppressed adults with perinatally acquired HIV (pHIV) and demonstrate the association between MWF and cognition. Ten (58%) adults with pHIV were cognitively impaired. Lower global MWF correlated with worse performance in executive function (r: 0.762, p: 0.037). Cognitive impairment is common among our cohort of adults with virally suppressed pHIV. Decreased myelination occurs in pHIV and may be a pathologic substrate of cognitive impairment. 

3971
Booth 7
Voxel-based assessment of volumetric brain differences in patients with premanifest and early manifest Huntington’s disease
Melanie Morrison1, Angela Jakary1, Andrew Leynes1, Jingwen Yao1, Julia Glueck2, Theresa Driscoll2, Joseph Talkakson2, Alexandra Nelson2, Katherine Possin2, Michael Geschwind2, Christopher Hess1, and Janine Lupo1

1Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurology, University of California San Francisco, San Francisco, CA, United States

More robust and accurate methods are needed to characterize disease extent and progression of Huntington's disease in order to develop disease-modifying therapies. Here we used voxel-based morphometry to evaluate patterns of regional brain atrophy in premanifest and early manifest HD patients relative to healthy controls. We found typical wide-spread sub-cortical and cortical gray matter atrophy in early manifest patients and observed similar though less pronounced atrophy in premanifest patients. As the presence of volume loss prior to symptom onset remains controversial, this work contributes to existing evidence of atrophy initiating as early as the premanifest disease stage.

3972
Booth 8
Investigation of Blood-Brain Barrier Disruption in Schizophrenia using Magnetization Transfer-ASL at 7T.
Sultan Zaman Mahmud1, Adrienne Lahti2, Nina V. Kraguljac2, Thomas S. Denney1, and Adil Bashir1

1Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, United States

Schizophrenia (SCZ) is a central nervous system (CNS) disease which is characterized by thinking disorder, cognitive impairments and other clinical manifestations that alter daily functioning. SCZ currently does not have satisfactory treatment options to improve cognitive symptoms. Deeper understanding of the underlying mechanism is required for effective treatment of SCZ. Blood-brain barrier (BBB) is the immunological junction between brain and vascular circulation, and its disruption is associated with a number of CNS diseases. This study aims to investigate if the BBB is compromised in SCZ.


3973
Booth 9
Visual Cortex Bioenergetic Abnormalities in Schizophrenia
Adil Bashir1, Adrienne C Lahti2, Nina Kraguljac2, and Thomas S Denney1

1Electrical & Computer Engineering, Auburn University, Auburn, AL, United States, 2Psychiatry and Behavioral Neurobiology, The University of Alabama at Birmingham, Birmingham, AL, United States

This study measured high energy metabolite ratios and CK and ATP metabolic reaction rate in visual cortex of SZ patients and HCs. The forward rate constant hence ATP production flux through CK enzyme was significantly lower in SZ patients when compared to age/sex matched controls. We did not observe abnormalities in metabolite concentration. Impaired CK reaction may underlie abnormal neuro function and information processing in SZ.

3974
Booth 10
T2-relaxation effects on NAA concentration reductions in psychotic disorders
Xi Chen1, Elliot Kuan1, Fei Du1, and Dost Öngür1

1McLean Hospital/Harvard Medical School, Belmont, MA, United States

We used 1H MRS at 4 T to quantify NAA concentrations and apparent T2 relaxation times in 104 psychosis patients compared to 50 matched healthy controls with four TEs (TE = 30, 90, 150 and 200 ms).  Even at short TE (30 ms), NAA concentration without T2 correction was significantly lower in chronic psychosis compared to age-matched healthy controls. After T2 correction, no significant differences remained. Thus, it may be neuronal microenvironment indexed by T2 relaxation time, but not neuronal integrity indexed by NAA concentration that underlies the widely reported NAA concentration reductions in psychotic disorders.

3975
Booth 11
Is curvature a biomarker for major depressive disorder? A morphological study using 7T MRI
Tara Lago1, Mariella Reynoso1, Yael Jacob2, Judy Alper3, Bradley N Delman4, James Murrough2, Priti Balchandani3, and Gaurav Verma3

1Staten Island Technical High School, New York, NY, United States, 2Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Numerous studies have analyzed morphological measurements to better understand how depression alters the brain, but few studies have explored curvature as a potential biomarker. By analyzing data from 7T MRI scans, we aimed to determine whether curvature measurements can differentiate between MDD patients and controls. We performed generalized linear models to analyze the relationship between participants’ status and measurements for intrinsic curvature index, Gaussian curvature, mean curvature, and folding index in thirty-four brain regions. Six regions showed significantly higher measures of curvature in MDD patients: the inferior temporal, pars triangularis, supramarginal, lateral orbitofrontal, isthmus cingulate, and entorhinal.

3976
Booth 12
Quantitative MRI evaluation of reduced myelin content in white matter tracts in major depressive disorde
Masaya Misaki1, Aki Tsuchiyagaito1, Beni Mulyana1,2, Rayus Kuplicki1, and Martin Paulus1

1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Electrical and Computer Engineering, University of Oklahoma, Tulsa, OK, United States

Quantitative MRI (qMRI) of T1, T2, and proton density (PD) parameters can inform the brain's local microstructure, such as myelin content. We investigated the myelin alteration in white matter tracts for MDD participants compared to healthy controls by qMRI scanning using SyMRI software. MDD group had reduced myelin content in bilateral uncinate fasciculus, fornix, right external capsule, left tapetum, and genu of the corpus callosum regions. These results were consistent with previous reports about the white-matter microstructure alteration in MDD with diffusion tensor imaging (DTI). The results indicate that myelin measurement with qMRI can be an alternative to DTI.


Multiple Sclerosis, Alzheimer's & Dementia II

Gather.town Space: North West
Room: 2
Tuesday 16:45 - 18:45
Neuro
Module : Module 9: Multiple Sclerosis, Alzheimer's and Dementia

3977
Booth 1
Decrease in magnetic susceptibility correlates with reduction in cortical blood flow in a model of systemic inflammation: A 9.4T in-vivo study
Qandeel Shafqat1, Rania Muhammed1, Hongfu Sun2, Ying Wu1, A. Max Hamilton1, Mada Hashem1, and Jeff F. Dunn1

1Department of Radiology, University of Calgary, Calgary, AB, Canada, 2School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

Brain hypoxia is present in multiple sclerosis, a condition associated with inflammation. Hypoxia may be related to inflammation. Quantitative susceptibility mapping (QSM) is sensitive to deoxyhemoglobin and so hypoxia. Here, we combined perfusion MRI with QSM to assess hypoxia and cerebral blood flow (CBF) in the lipopolysaccharide (LPS) inflammatory model. We report a reduction in susceptibility, as well as a significant reduction in CBF, in the cortex of the LPS model. As reduced tissue susceptibility was observed in more hypoxic subjects, this could be consistent with hypoxia in the inflammatory model, and QSM might be a possible biomarker.

3978
Booth 2
Feasibility of $$$R_2^*$$$ /QSM susceptibility source separation for application in multiple sclerosis
Alexey Dimov1, Thanh Nguyen1, Kelly Gillen1, Melanie Marcille2, Pascal Spincemaille1, Pitt David3, Susan Gauthier2, and Yi Wang1

1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Neurology, Weill Cornell Medicine, New York, NY, United States, 3Neurology, Yale School of Medicine, New Haven, CT, United States

For determination of dia- and paramagnetic sources, quantitative susceptibility mapping (QSM) of phase is combined with a R2* model of magnitude of multiecho gradient echo data, which is advantageous over R2’ model that requires additional T2 mapping, Magnetic source separation was performed in in vivo (17 multiple sclerosis (MS) patients) and ex vivo (a whole brain and 3 MS brain tissue blocks). Both R2* and R2’ methods were found to be well correlated in vivo data. R2* based positive and negative susceptibility sources estimation in ex vivo MS lesions correlated with optical density of lesion histology.

3979
Booth 3
Assessing Tissue Structure Differences Between RRMS and SPMS Patients Using Advanced Diffusion and MRI Texture Analysis
Olayinka Oladosu1, Wei-Qiao Liu2, Lenora Brown2,3, Bruce Pike2,3,4, Marcus Bruce Koch2,3, Luanne Metz2,3, and Yunyan Zhang2,3,4

1Neuroscience, University of Calgary, Calgary, AB, Canada, 2Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 3Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 4Radiology, University of Calgary, Calgary, AB, Canada

Tissue structure changes underlying disease development and progression in MS are not fully understood. We investigated tissue structure in 29 RRMS and SPMS patients using advanced diffusion imaging and MRI texture measures using analyses over 3 spatial scales: white matter histogram analysis, tract ROI analysis, and along-tract statistics. We found that phase congruency texture analysis best differentiated RRMS and SPMS patients in histogram analysis. Diffusion measures differentiated the subtypes across all analyses in multiple tracts. The findings by advanced measures of tissue structure may further research into disease progression in MS.

3980
Booth 4
Association Between Common MRI Metrics of Disease Activity in MS and Spinal Cord Atrophy
Burcu Zeydan1,2,3, Nur Neyal1, Jiye Son2, Holly A. Morrison3, Elizabeth J. Atkinson4, John D. Port2,3, Kejal Kantarci2, and Orhun H. Kantarci1,3

1Neurology, Mayo Clinic, Rochester, MN, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States, 3Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States, 4Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States

Cervical spinal cord atrophy is an important MRI measure that correlates with progressive MS. We have previously shown that the cranio-caudal loss of cervical cord area correlates with the evolution in MS disease continuum. In this prospective study, in addition to age, we showed that thalamic volumes may correlate with cervical cord area measurements, possibly through a Wallerian degeneration mechanism, while total brain lesion volumes do not. Our findings suggest that spinal cord area measurements in MS is potentially an independent metric from lesion load measurements but can be complemented by thalamic volume measurements as imaging outcomes in clinical trials.

3981
Booth 5
Texture analysis of clinical MRI detects characteristics of tissue repair in lesions of multiple sclerosis after treatment with domperidone
Zahra Hosseinpour1, Olayinka Oladosu2, Mahshid Soleymani1, Wei-qiao Liu3, G Bruce Pike3,4,5, Marcus Werner Koch3,5, V. Wee Yong3,5, Luanne Metz3,5, and Yunyan Zhang3,4,5

1Biomedical Engineering Graduate Program, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada, 2Department of Neurosciences, University of Calgary, Calgary, AB, Canada, 3Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 4Department of Radiology, University of Calgary, Calgary, AB, Canada, 5Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada

MS pathology is dynamic, involving damage and repair. We used statistical texture analysis to assess changes in MS lesions seen in sequential brain MRI of 16 RRMS patients after treatment with domperidone. We focused on 2 histology-verified texture measures: contrast and dissimilarity, which characterize tissue coarseness and heterogeneity, respectively. Lower contrast and dissimilarity were detected in both acute and total lesion groups at weeks 16 and 32 compared to baseline, and at week 32 compared to week 16. The observed changes in texture suggest remyelination in MS lesions following treatment.


3982
Booth 6
Brain Oxygen Extraction Fraction in Patients with Normal Pressure Hydrocephalus
Hangwei Zhuang1,2, Junghun Cho2, Gloria Chia-Yi Chiang2, Ilhami Kovanlikaya2, Linda A Heier2, and Yi Wang1,2

1Biomedical Engineering, Cornell University, New York, NY, United States, 2Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States

Oxygen extraction fraction (OEF) maps were obtained from multi-echo gradient echo (mGRE) using a novel MRI biophysics model called QSM+qBOLD (QQ) in Normal Pressure Hydrocephalus (NPH) patients. OEF of the whole brain, cortical gray matter, caudate, and pallidum were significantly negatively correlated with ventricular volume. The finding demonstrates the feasibility of OEF mapping using MRI in NPH patients and suggests global and local neurodegeneration. 

3983
Booth 7
Higher functional activity in the somatomotor network is associated with functional reorganization in the early stage of multiple sclerosis
Ceren Tozlu1, Sophie Card2, Keith Jamison1, Susan Gauthier3, and Amy Kuceyeski1

1Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 2Horace Greeley High School, Chappaqua, NY, United States, 3Department of Neurology, Weill Cornell Medicine, New York, NY, United States

Multiple Sclerosis (MS) is a disease that causes neuroinflammation and neurodegeneration in central nervous system. Neuroimaging techniques may enable us to better understand the neuropathological mechanisms of MS and how the brain may compensate the pathological changes. We identified the recurring dynamic brain states using fMRI data and investigated the energy required for the transition between those states using the network control theory approach. Our main findings are the dynamic states were visual, somatomotor, and frontoparietal states and the transition energy averaged over all transitions was significantly greater in the MS patients with disability compared to those without disability.

3984
Booth 8
Longitudinal changes in brain oxygen extraction fraction (OEF) in older adults: relationship to vascular and Alzheimer’s pathology
Zixuan Lin1, Chantelle Lim2, Dengrong Jiang1, Anja Soldan3, Corinne Pettigrew3, Kumiko Oishi1, Peiying Liu1,4, Marilyn Albert3, and Hanzhang Lu1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States

Oxygen extraction fraction (OEF) has been suggested to be differentially affected by Alzheimer’s and vascular pathology in older adults. We aimed to investigate age-related OEF change with a longitudinal study design. 138 elderly participants were recruited with a 2-year follow-up. Individuals with higher vascular risks showed significant elevation in OEF but not those with lower vascular risks. Higher OEF was also associated with a faster growth in white matter hyperintensities, but not with any Alzheimer’s pathology or APOE gene. The results suggested a prominent effect of vascular pathology on OEF in aging.  

3985
Booth 9
Glymphatic System Evaluation in Obstructive Sleep Apnea Adults using Diffusion Tensor Imaging
Alba Nunez1, Bhaswati Roy1, Ravi S. Aysola2, Daniel W Kang2, and Rajesh Kumar1,3,4,5

1Anesthesiology, University of California Los Angeles, Los Angeles, CA, United States, 2Medicine, University of California Los Angeles, Los Angeles, CA, United States, 3Radiological Science, University of California Los Angeles, Los Angeles, CA, United States, 4Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 5Brain Research Institute, University of California Los Angeles, Los Angeles, CA, United States

OSA is characterized by recurrent episodes of complete or partial collapse of the upper airway during sleep, leading to sleep fragmentation. The altered sleep architecture can potentially hinder the extracellular waste removal system known, the glymphatic system, which is known for clearing interstitial solutes, including beta amyloids. In this study, we evaluated the glymphatic system using non-invasive MRI based diffusion tensor imaging data analyses along the perivascular space (DTI-ALPS) in OSA patients and healthy controls, and show impaired glymphatic system in the condition.

3986
Booth 10
Brain Ultrashort-T2* component measurements in patients with multiple sclerosis
Nikhil Deveshwar1,2, Eduardo Caverzasi1, Jingwen Yao1, Ari Green3, Roland Henry2,3, and Peder E. Z. Larson1,2

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UC Berkeley - UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA, United States, 3Department of Neurology, University of California, San Francisco, San Francisco, CA, United States

This work presents a study measuring and characterizing the brain ultrashort-T2* component in patients suffering from MS. Our results show that the measured T2* relaxation time of the ultrashort-T2* component is significantly lower in almost all white matter ROIs measured. Fitted signal curves for the fractional component suggest the fractional component fits well in certain patients but not as well in others suggesting a more robust fitting model may be necessary for using this UTE relaxometry technique in patients with MS.

3987
Booth 11
T2 mapping in Alzheimer’s Disease from Standard Sequences
Gitanjali Chhetri1, Kelly C. McPhee2, and Alan H. Wilman1

1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada, 2Medical Physics, CancerCare Manitoba, Winnipeg, MB, Canada

T2 mapping was applied retrospectively to healthy subjects, mild cognitive impairment (MCI) and Alzheimer’s disease (AD) by deriving the T2 from modelling standard dual-echo proton density and T2-weighted fast spin echo sequence, as used in the Alzheimer’s disease and Neuroimaging Initiative (ADNI-1). T2 differences were compared to volume changes in hippocampus and thalamus. In both regions, T2 mapping showed significant differences between MCI and healthy subjects while volume measures did not. Volume was more effective for distinguishing MCI from AD, due to profound hippocampal atrophy. By modelling actual refocusing angles, T2 mapping revealed differences between healthy, MCI and Alzheimer’s subjects.

3988
Booth 12
Differences in functional connectivity in older adults with mild cognitive impairment and subjective cognitive decline
Arunan Srikanthanathan1, Susan Vandermorris1, Nicolaas Paul Verhoeff1, Jean Chen1, Nathan Herrmann2, and Linda Mah1

1Rotman Research Institute , Baycrest Health Sciences, North York, ON, Canada, 2Sunnybrook Research Institute, Toronto, ON, Canada

Subjective cognitive decline (SCD) is a preclinical stage of Alzheimer’s disease (AD) that may precede mild cognitive impairment (MCI), a prodrome of AD. We used resting-state functional magnetic resonance imaging to examine the pattern of functional connectivity in anterior brain regions that support memory processes in SCD and MCI. We found reduction of posterior cingulate cortex functional connectivity with medial temporal lobe structures in MCI and SCD, and associated increases in functional connectivity in the anterior brain regions, although direct group comparisons of the latter did not yield statistically significant differences.


3989
Booth 13
Association between SFCI, a robust pathway-combined connectivity metric and neurological scores in multiple sclerosis
Pallab Bhattacharyya1, Robert Fox1, Jian Lin1, Ken Sakaie1, and Mark Lowe1

1Cleveland Clinic Foundation, CLEVELAND, OH, United States

Structural and functional connectivity index (SFCI) is a composite metric that combines structural and functional connectivity along different functionally specific pathways in multiple sclerosis. Performing functional connectivity and diffusion tensor imaging scans, we show that motor and cognitive pathway-combined SFCI is closely associated with multiple sclerosis functional composite, a composite neurological metric. Pathway-combined SFCI shows stronger association with MSFC than motor or cognitive pathway-specific composite metrics. Results from this study support the use of SFCI and composite pathway-based imaging measures as surrogate biomarkers for MS disease status and progression.

 


3990
Booth 14
Tracking motor and cognitive network connectivity in MS over 2 years using SFCI, a pathway-combined connectivity metric
Pallab Bhattacharyya1, Robert Fox1, Jian Lin1, Ken Sakaie1, and Mark Lowe1

1Cleveland Clinic Foundation, CLEVELAND, OH, United States

Motor and cognitive network integrity in multiple sclerosis over 2 years in patients receiving the same therapy was tracked using structural and functional connectivity index (SFCI), a metric that combines functional and structural connectivity along function-specific pathways and then forms a pathway-combined composite metric. Changes of the individual measures, functional connectivity and transverse diffusivity along transcallosal motor and frontoparietal cognitive pathways, were also tracked over 2 years.  Pathway-combined SFCI was more efficient in tracking network integrity than the individual imaging measures or pathway-specific composite metric.

3991
Booth 15
Mapping of Early-Stage Changes in Cerebral Glutamate in APPNL-F/NL-F Mouse Model of Alzheimer’s Disease Using GluCEST MRI
Narayan Datt Datt Soni1, Ravi Prakash Reddy Nanga1, Juul Halvor1, and Ravinder Reddy1

1Department of Radiology, Center for Advanced Metabolic Imaging in Precision Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Alzheimer’s disease (AD) is characterized by progressive loss of cognitive abilities. Glutamate being the major excitatory neurotransmitter in mammalian brain, regulates various cognitive functions. Reports suggesting compromised cerebral glutamate homeostasis in AD indicates the potential of glutamate mapping in early diagnosis of AD. In the current study, we have used glutamate weighted Chemical Exchange Saturation Transfer (GluCEST) MRI to investigate changes in cerebral glutamate in 6-month-old APPNL-F/NL-F mouse model of AD. Our findings suggest reductions in the levels of cortical and hippocampal glutamate in APPNL-F/NL-F mice. A longitudinal study is ongoing to understand the pattern of perturbation with disease progression.

3992
Booth 16
Administration of ketone beta-hydroxybutyrate modulates 1H-MRS cortical GABA and Glu in healthy adults
Antoine Hone-Blanchet1, Botond Antal2, Liam McMahon1, Andrew Lithen1, Helena van Nieuwenhuizen2, Nathan Smith3, Alexander Lin1, Yi-Fen Yen1, Bruce Jenkins1, Liliane Mujica-Parodi2, and Eva Maria Ratai1

1Harvard Medical School/Massachusetts General Hospital, Boston, MA, United States, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Children's National Hospital, Washington D.C., DC, United States

Brain aging is highly correlated with deficiencies in glucose metabolism. Ketone beta-hydroxybutyrate (d-βHB) may represent an alternative fuel for energy metabolism in brain aging. This study assesses the neurochemical effect of an acute administration of d-βHB in the healthy human brain using MR spectroscopy. Results show that levels of GABA and Glu were significantly reduced in the posterior cingulate region after administration of d-βHB, but not glucose. Additionally, older age significantly predicted higher decreases in levels of both GABA and Glu. This suggests that administration of d-βHB alters normal cerebral metabolic profile in physiological brain aging.

3993
Booth 17
Hippocampal Glx in RRMS: A potential therapeutic indicator in fingolimod and injectables
Oun Al-iedani1,2, Rodney Lea2, Jameen Arm1, Saadallah Ramadan1,2, and Jeannette Lechner-Scott2,3,4

1School of Health Sciences, University of Newcastle, Newcastle, Australia, 2Hunter Medical Research Institute, Newcastle, Australia, 3Department of Neurology, John Hunter Hospital, Newcastle, Australia, 4School of Medicine and Public Health, University of Newcastle, Newcastle, Australia

This novel longitudinal study evaluates the hippocampal metabolic and morphologic effects of different DMTs on the RRMS brain. RRMS patients were on fingolimod(N=36), injectables(N=29) and HCs cohort(N=44). MRS was acquired from hippocampus. Findings revealed that fingolimod is associated with a larger statistically significant reduction in hippocampal Glx (p=0.003) compared to injectable (p=0.01) and trending lower compared to HCs (p=0.09). Hippocampal NAA levels showed statistically significant increase in the fingolimod cohort (p≤0.0001) compared to HCs over the 2-years follow-up. These results demonstrate that fingolimod has a more potent effect on hippocampal Glx and NAA profiles than injectable DMTs.


Quantitative Neuroimaging & Neurofluids III

Gather.town Space: North East
Room: 5
Wednesday 14:30 - 16:30
Neuro
Module : Module 25: Gray Matter & Neurofluids

4375
Booth 1
T2 relaxometry based CSF fraction (CSFF) mapping is a better biomarker for brain drainage pathology than DTI-based free water (DTI-FW) mapping
Liangdong Zhou1, Thanh Nguyen2, and Yi Li2

1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Weill Cornell Medicine, New York, NY, United States

We compared two free water methods, T2 relaxometry-based CSFF and DTI-based DTI-FW, by associating them with age, cognitive score RAVLT, amyloid beta deposition from PiB SUVr, tau deposition from MK6240, aqueduct CSF flow from PC-MRI and ventricle CSF clearance from MK-PET. Results show that CSFF outperforms DTI-FW in most relation pairs. CSFF works great for quantifying clearance related measures but DTI-FW failed.

4376
Booth 2
Flow Quantification for Cerebrospinal Fluid by Spatial-temporal Perturbation Patterns in SSFP
Yicun Wang1, Peter van Gelderen1, Jacco A. de Zwart1, Pinar S. Özbay1, Hendrik Mandelkow1, Dante Picchioni1, and Jeff H. Duyn1

1AMRI, LFMI, NINDS, National Institutes of Health, Bethesda, MD, United States

We report a fast quantitative CSF flow imaging method based on the spatial-temporal perturbation patterns formed at the transition bands in balanced steady-state-free-precession (SSFP) images when combined with a background magnetic field gradient. By modeling CSF flow as a combination of a pulsatile (AC) and a constant (DC) flow component across the cardiac cycle, a dictionary was generated based on Bloch simulations and used to translate the observed patterns to flow velocities. Monte-Carlo simulations were performed to evaluate the accuracy of the approach. CSF flow resulting from different physiological mechanisms was quantified in selected regions in 12 healthy subjects.

4377
Booth 3
Blockade of lymphatic drainage to deep cervical lymph nodes impacts CSF flow and brain morphometry
Sunil Koundal1, Zachary Gursky1, Xinan Chen2, Hedok Lee1, Laura Santambrogio3, Jonathan Kipnis4, Allen Tannenbaum2, and Helene Benveniste1

1Anesthesiology, Yale University, New Haven, CT, United States, 2Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States, 3Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States, 4Department of Pathology and Immunology, Washington University, St. Louis, MO, United States

The altered CNS fluid flow dynamics and homeostasis mechanisms in response to blockade of lymphatic drainage to deep cervical lymph nodes (dcLN)  is poorly understood. We used multi-modality MRI and computational fluid dynamics  approach to study the same in rats with electrocauterized afferent lymphatic vessels of  dcLN. The brain morphometry of Cauterized-dcLN rats showed localized volume expansion in Pons, Hippocampus and Corpus-callosum, while glymphatic speed maps showed hyperdynamic CSF flow in ambient and quadrigeminal cisterns. These results clearly show that the blockade of CSF drainage to dcLN alters CNS fluid homeostasis/flow dynamics, long-term may result in waste accumulation and neurodegeneration.

4378
Booth 4
Cerebral Blood Flow Autoregulation is a Major Contributor to Flow Dynamics of Cerebrospinal Fluid
Yicun Wang1, Peter van Gelderen1, Jacco A. de Zwart1, Pinar S. Özbay1, Hendrik Mandelkow1, Dante Picchioni1, and Jeff H. Duyn1

1AMRI, LFMI, NINDS, National Institutes of Health, Bethesda, MD, United States

In addition to the well-established origin in cardiac and respiratory cycles, CSF pulsations may also result from the much slower variations in vascular tone associated with cerebral blood flow (CBF) autoregulation. Using a novel quantitative MRI approach, we measured CSF flow velocities and displaced volumes resulting from these three mechanisms in 12 healthy human controls. We found the autoregulatory effects to be a major factor, with associated CSF velocities comparable to and displaced volumes an order of magnitude larger than the cardio-respiratory effects. This may be an important mechanism underlying the CSF oscillations recently observed in resting-state fMRI.

4379
Booth 5
Evaluation of Cerebral Blood Flow and BBB Water Exchange in an Aged African American Cohort
Brandon Ojogho1, Farzan Abdolahi2, Xingfeng Shao1, Samantha Ma3, Chenyang Zhao1, Kay Jann1, Xuejuan Jiang2, and Danny JJ Wang1

1Laboratory of FMRI Technology (LOFT) Mark & Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine University of Southern California (USC), Los Angeles, CA, United States, 2Department of Ophthalmology and Department of Preventive Medicine Keck School of Medicine University of Southern California (USC), Los Angeles, CA, United States, 3Siemens Healthcare, Los Angeles, CA, United States

This study evaluated CBF and BBB water exchange rate (kw) measured by diffusion prepared pseudo-continuous arterial spin labeling (DP-pCASL) in a cohort of aged African American individuals. The results showed decreasing CBF and kw with age, and higher CBF in females. Both CBF and kw were correlated with picture sequence memory test score. CBF was negatively correlated with white matter hyperintensities (WMH), free water (FW) and peak skeletonized mean diffusivity (PSMD), although age accounted for these correlations. These findings suggest the potential for CBF and kw as biomarkers of cerebral small vessel disease. 

4380
Booth 6
Role of insulin resistance in the optic nerve glymphatic system
Muneeb A Faiq1, Anoop Sainulabdeen1, Vishnu Adi1, Thajunnisa A Sajitha1, Sophia Khoja1, Carlos Parra1, Choong H Lee2, Jiangyang Zhang2, and Kevin C Chan1,2

1Department of Ophthalmology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, United States, 2Department of Radiology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, United States

Recent evidence suggests the existence of a functional glymphatic system in the optic nerve. Insulin resistance in the central nervous system (CNS-IR) has been implicated in neurodegenerative conditions. Its mechanism remains unclear though one candidate involves dysregulation of the cerebrospinal fluid (CSF). Here, we investigated if CNS-IR affects CSF flow in the visual pathway by measuring the spatiotemporal profiles of CSF dynamics using gadolinium-enhanced MRI following intrathecal administration of the specific insulin receptor blocker, S961. Our results suggested that central insulin function may play an imperative role in CSF dynamics for the homeostasis of the visual system.

4381
Booth 7
Myelin Water Imaging in an HIV Population at Risk of Cerebral Small Vessel Disease
Md Nasir Uddin1, Abrar Faiyaz2, Alan Finkelstein3, and Giovanni Schifitto1,2

1Department of Neurology, University of Rochester, Rochester, NY, United States, 2Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, United States, 3Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States

HIV-infected individuals are at increased risk of developing cerebral small vessel disease (CSVD).  Myelin damage is a feature in CSVD, and can be quantified using myelin water imaging. In this work, we investigated if MWI can be used to quantify myelin related changes in white matter in an HIV cohort at risk of CSVD. Our results lend support to the use of MHI to track myelin related abnormalities in the white matter.

4382
Booth 8
Feasibility of 3T imaging in idiopathic normal pressure hydrocephalus patients with Certas Plus Valve: comparison of artifacts 3T vs 1.5T.
Emanuele Camerucci1, Benjamin Elder1, Jeffrey Gunter1, John Huston1, Clifford Jack1, and Petrice Cogswell1

1Mayo Clinic, Rochester, MN, United States

We compared the artifact induced by the Certas Plus at 3.0T vs 1.5T in 9 patients with idiopathic normal pressure hydrocephalus (iNPH) on six sequences (3D MPRAGE, Sagittal T1, axial DWI, axial GRE, axial T2 FLAIR, axial T2 FSE) at three levels (atria of the lateral ventricles, cerebral aqueduct, and cerebellum hemispheres). The 1.5T scans had a significantly greater area of artifact on DWI (all levels) and GRE (cerebellar level) sequences, and a smaller area of artifact on T2 FLAIR (cerebellar level). Post-shunt imaging at 3T with the Certas plus valve is feasible and with lesser artifact than on 1.5T.

4383
Booth 9
R2* changes reflect the kinetics of formalin-based penetration and fixation in post-mortem tissue
Azadeh Nazemorroaya1, Ali Aghaeifar2, Hildegard Schulz3, Klaus Scheffler 3,4, Thomas Shiozawa-Bayer5, Bernhard Hirt5, and Gisela Hagberg3,4

1High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Wellcome Centre for Human Neuroimaging, London, United Kingdom, 3High Field Magnetic Resonance,, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 4Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany, 5Clinical Anatomy, University Hospital Tübingen, Tuebingen, Germany

Post-mortem brain MRI can yield valuable information. However, tissue preservation requires substitution of the CSF-fluid by fixation agents, which is time-consuming for large samples. R2*  maps, dominated by R2-effects, were measured at several timepoints during fixation of pig-brain tissue samples using formalin-based fixatives.

4384
Booth 10
A user interface for brain cell analysis of a petascale database in cerebral cortex and its application to numerical simulations of diffusion
Benjamin Sylvanus1, Susie Yi Huang2,3, and Hong Hsi Lee2,3

1Northeastern University, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States

The 1.4 petabyte electron microscopy volume with fully segmented cells in the human cerebral cortex is publicly available, serving as a valuable resource of building numerical phantoms of MRI. However, even few neurite interruptions in cell segmentations can lead to substantial biases in numerical simulations of diffusion inside cells. Here we propose a user interface to automatically correct most of the neurite interruptions and manually edit the corrections. Combing the proposed user interface with Trees toolbox and SpinDoctor for quantitative cell analysis and diffusion simulations, we provide a convenient platform to validate biophysical modeling of MRI evaluating tissue microstructure.


Multiple Sclerosis

Gather.town Space: South West
Room: 2
Thursday 9:15 - 11:15
Neuro
Module : Module 9: Multiple Sclerosis, Alzheimer's and Dementia

4512
Booth 1
Microstructure changes of the normal-appearing white matter in the Corpus Callosum in Relapsing-Remitting Multiple Sclerosis
Lester Melie-Garcia1,2,3, Muhamed Barakovic1,2,3, Matthias Weigel1,2,3,4, Reza Rahmanzadeh1,2,3, Riccardo Galbusera1,2,4, Po-Jui Lu1,2,3, Alessandro Cagol1,2,3, Antoine Lutti5, Sabine Schaedelin6, Pascal Benkert6, Alexandra Todea1,2,3,7,8, Esther Ruberte1,9, Ernst-Wilhelm Radue1, Ludwig Kappos1,2,3, Jens Kuhle3, and Cristina Granziera1,2,3

1Translational Imaging in Neurology (ThINK), Biomedical Engineering Department, University of Basel, Basel, Switzerland, 2Department of Medicine, University Hospital Basel, Basel, Switzerland, 3Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, Basel, Switzerland, 4Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland, 5Laboratory for Research in Neuroimaging (LREN), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland, 6Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, Basel, Switzerland, 7Division of Neuroradiology, Department of Radiology, University Hospital Basel, Basel, Switzerland, 8Translational Imaging in Neurology (ThINK) Basel, Biomedical Engineering Department, University of Basel, Basel, Switzerland, 9Medical Image Analysis Center (MIAC), Basel, Switzerland

A scarce body of literature studies the Corpus Callosum (CC) normal-appearing white matter (NAWM) in Relapsing-Remitting Multiple Sclerosis (RRMS). This work aimed to characterize the degree of the alterations in different CC segments by assessing the extent of damage to myelin and axon, as measured with myelin volume fraction, axonal volume fraction, and g-ratio. These microstructural measures correlated with disease duration, EDSS, number, and volume of the lesions in other white matter regions. In sum, this work shows that CC pathology in RRMS patients is related to focal damage and/or diffuse neurodegeneration, which is clinically relevant.

4513
Booth 2
Iron and Myelin Content in Cortical Lesions in Multiple Sclerosis using Magnetic Susceptibility Source Separation
Jannis Müller1,2, Po-Jui Lu1,2, Hyeong-Geol Shin3, Reza Rahmanzadeh1,2, Charidimos Tsagkas1,2, Muhamed Barakovic1,2, Riccardo Galbusera1,2, Özgür Yaldizli1,2, Matthias Weigel1,4, Yi Wang5, Thanh Nguyen5, Jens Kuhle2, Jongho Lee3, and Cristina Granziera1,2

1Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Translational Imaging in Neurology (ThINk) Basel, Basel, Switzerland, 2University Hospital Basel and University of Basel, Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Basel, Switzerland, 3Department of Electrical and Computer Engineering, Seoul National University, Laboratory for Imaging Science and Technology, Seoul, Korea, Republic of, 4Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland, 5Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States

The visualization and characterization of cortical MS lesions is challenging on conventional MRI. In the present study, we used a susceptibility source separation algorithm to divide the positive and negative susceptibility of quantitative susceptibility mapping (QSM) MRI, so that we could disentangle signal alterations due to myelin loss or iron accumulation. In 19 MS patient with 123 cortical lesions, we found that the major part of QSM susceptibility of cortical lesions is driven by myelin and iron loss, while only a small proportion of lesions (12/123, 9.8%) showed an increment of susceptibility that is caused by iron accumulation.

 


4514
Booth 3
Periventricular tissue damage in multiple sclerosis assessed by quantitative magnetization transfer
Lukas Pirpamer1, Andrej Vovk2, Anna Damulina3, Michael Khalil3, Reinhold Schmidt1, Christian Enzinger4,5, and Stefan Ropele3

1Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Graz, Austria, 2Medicinska fakulteta, Univerza v Ljubljani, Ljubljana, Slovenia, 3Department of Neurology, Division of General Neurology, Medical University of Graz, Graz, Austria, 4Neurology, Medical University of Graz, Graz, Austria, 5Department of Radiology, Division of Neuroradiology, Medical University of Graz, Graz, Austria

Periventricular tissue damage in multiple sclerosis has been suggested to be mediated by toxic soluble factors in the cerebrospinal-fluid. Magnetization transfer imaging has shown great potential to reveal microstructural tissue changes and has been used to study the association of periventricular normal-appearing white matter (NAWM) changes to the distance from the ventricle. We assessed high-resolution magnetization transfer saturation imaging (MTsat) in equidistant bands around the ventricle of MS patients and compared the resulting MTsat gradient of the thalamus and NAWM. While PV-MTsat values in NAWM are consistent to the literature, MTsat values in the outer thalamic bands were higher than controls, likely caused by increased iron levels.

4515
Booth 4
Disentangling characteristics of subpial lesions in multiple sclerosis using multiparametric postmortem MRI
Riccardo Galbusera1,2,3, Erik Bahn4, Matthias Weigel1,2,3, Po-Jui Lu1,2,3, Jonas Franz4, Muhamed Barakovic1,2,3, Sabine Schaedelin5, Lester Melie-Garcia1,2,3, Reza Rahmanzadeh1,2,3, Peter Dechent6, Antoine Lutti7, Govind Bhagavatheeshwaran8, Wolfgang Brück4, Ludwig Kappos2,3, Christine Stadelmann4, and Cristina Granziera1,2

1Neurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 2Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 3Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland, 4Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany, 5Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland, 6Department of Cognitive Neurology, MR-Research in Neurosciences, University Medical Center Göttingen, Göttingen, Germany, 7Centre for Research in Neuroscience - Department of Clinical Neurosciences, Laboratoire de recherche en neuroimagerie (LREN) University Hospital and University of Lausanne, Lausanne, Switzerland, 8National Institute of Neurological Disorders and Stroke, Bethesda, MD, Bethesda, MD, United States

We have characterized the imaging correlates of subpial demyelination in the cerebral cortex of  MS patients by exploiting multiparametric postmortem qMRI and histopathology. MTsat, qT1 and AD were the measures that best captured subpial lesions pathology. Additionally, we found that some subpial lesions exhibit a juxta-cortical rim of increased susceptibility and show lower MWF than the ones without rim.

4516
Booth 5
Hypo-diamagnetism on χ-separation: a potential marker for the differential diagnosis between MS and NMOSD.
Jinhee Jang1, Hyeong-Geol Shin2, Hyebin Lee1, Dohoon Park1, Junghwa Kang3, Yoonho Nam3, Jongho Lee2, and Woojun Kim4

1Radiology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of, 2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 3Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea, Republic of, 4Neurology, Seoul St. Mary's Hospital, Seoul, Korea, Republic of

Using χ-separation, detailed characterization of MS and NMOSD lesions were possible. Majority (490/611, 80%) of MS lesions were hypo-diamagnetic on χneg maps, suggesting loss of diamagnetic myelin. On the contrary, only 14.2% (32/225) of NMOSD lesions were hypo-diamagnetic. On χpos maps, some MS and a few NMOSD lesions showed paramagnetic rim round the lesion, which was identical to paramagnetic rim sign on SWI or QSM. The proportion of hypo-diamagnetic lesions showed excellent diagnostic performances (AUROC 0.961, 95%CI 0.907-1), as compared to central vein sign and paramagnetic rim lesion sign. 


4517
Booth 6
Demyelination and remyelination in cuprizone mouse model detected by CEST MRI at 3T
Zilin CHEN1, Jianpan HUANG1, Joseph H.C. LAI1, Kai-Hei TSE2, and Kannie W.Y. CHAN1,3,4,5

1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China, 2Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China, 3Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 4City University of Hong Kong Shenzhen Research Institute, Shenzhen, China, 5Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, China

Multiple sclerosis (MS) is a common demyelinating disease that heavily relies on differential diagnosis. Specific CEST contrast is known to be sensitive to alterations in proteins and lipids, the major components of myelin. This includes amide protons at 3.5 ppm and relayed nuclear Overhauser effect (rNOE) at -1.6~-3.5 ppm. Here, we study these CEST contrasts and their uniqueness towards myelin changes in a cuprizone model, which recapitulates remyelination and demyelination in MS. We observed substantial changes of rNOE and amide, during demyelination (P<0.05) and remyelination, indicating great potential of CEST MRI in monitoring myelin change and MS identification at 3T.


4518
Booth 7
Study of Neurometabolic Signature in Alzheimer’s Disease using High-Resolution 3D 1H-MRSI
Yaoyu Zhang1, Jialin Hu1, Miao Zhang2, Rong Guo3,4, Yudu Li3,4, Yibo Zhao3,4, Ziyu Meng1, Danni Wang1, Wenli Li1, Biao Li2, Jun Liu5, Binyin Li5, Zhi-Pei Liang3,4, and Yao Li1

1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 3Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

Early and accurate diagnosis of AD is clinically important. Neurometabolic signals measured noninvasively by MRSI showed potential. Previous MRSI studies, limited to single voxel/slice techniques, could only examine neurometabolite concentration from limited brain regions. Using a high-resolution 3D MRSI technique, we assessed neurometabolic signature in AD by integrating neurometabolite concentrations from multiple brain regions. The discriminative power of global neurometabolic signature was evaluated in comparison with that of Aβ PET for both AD detection and predicting cognitive decline, showing promising results. The study provides a good foundation for further investigation using neurometabolic signature for early and accurate diagnosis of AD.

4519
Booth 8
Instability and hyper-connected pattern of dynamic functional network in MCI converters
Zhihan Chen1,2, Keliang Chen2, Yuxin Li1,2, Qianhua Zhao1,2, and Liqin Yang1,2

1Fudan University, Shanghai, China, 2Huashan Hospital, Shanghai, China

In this study, based on rs-fMRI, we analyzed the dynamic characteristics of 3 groups: MCI convert to AD within one-year follow-up (1Y_AD), stable in MCI within one-year follow-up (1Y_MCI) and revision from MCI within one-year follow-up (1Y_HC), including nodal entropy and measurements of dynamic brain functional network. We found that with the disease progression, the brain functional network was reconfigured into a highly-integrated/segregated pattern, and dwell time of highly-integrated pattern is associated with executive function in 1Y_AD. These findings provide the evidence for developing dynamic measurements as potential biomarkers for tracking mechanism of AD.


4520
Booth 9
Gender-related differences in static and dynamic functional connectivity in multiple sclerosis: a multicenter study
Yao Wang1, Fuqing Zhou1, Yaou Liu2, and Qian Long 3

1Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, China, 2Department of Radiology, Beijing Tiantan Hospital, Beijing, China, 3MR Research, GE Healthcare, Beijing, China

The study investigated gender-related differences in patients with multiple sclerosis by assessing static and dynamic functional connectivity within large scale functional networks. Our results observed that MS could eliminate the effect of gender on static and dynamic functional connectivity in healthy controls, and affect static connectivity in male patients and dynamic connectivty in female patients. Correlation analyses suggested these characteristics of static and dynamic connectivity were related to disability and gray matter volume. Thus, our findings underline the importance of gender in founctional impairment and reorganization in MS

4521
Booth 10
Hippocampal glutathione-glutamate couplings predict cognitive impairment in patients with relapsing-remitting multiple sclerosis
Fuyan Li1, Wei Zong1, Fuxin Ren1, Ning Li1, Xiao Li1, Zongrui Dai2, Weibo Chen3, Muwei Li4, and Fei Gao1

1Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China, 2Westa College, Southwest University, Chongqing, China, 3Philips Healthcare, Shanghai, China, 4Vanderbilt University Institute of Imaging Science, Nashville, TN, United States

Cognitive impairment is a common symptom of MS. GSH and Glu, keeping a homeostasis in the stable stage, were considered as key players in oxidative stress defending and synaptic plasticity, respectively. We aim to explore the changes of GSH and Glu levels and GSH-Glu couplings in RRMS and their association with cognitive impairment. Our findings indicate that oxidative stress and glutamatergic dysfunction may contribute to cognitive impairment of MS in a regional specificity manner. Hippocampal GSH-Glu decoupling may offer a crucial noninvasive measure of early cognitive impairment and provide a new strategy for the treatment of MS patients.


4522
Booth 11
Selective Disruption of the Motor Connectome in Non-Familial Amyotrophic Lateral Sclerosis
Sicong Tu1, Arkiev D'Souza1,2, Chenyu Wang1,2, Christina Maher1, Colin Mahoney1, William Huynh1, Michael Barnett1,2,3, and Matthew Kiernan1,3

1Brain and Mind Centre; The University of Sydney, Sydney, Australia, 2Sydney Neuroimaging and Analysis Centre, Sydney, Australia, 3Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia

Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disorder with a widespread cortical disease signature. ALS patients demonstrate global network alterations in the white matter connectome in the early stage of disease. Selective disruption of cortical motor associated nodes with the thalamus and contralateral motor cortices is present at disease onset. Disease duration is associated with reduced structural interhemispheric cortical motor connectivity. Focal motor abnormalities present in the white matter connectome may be a sensitive marker in the earliest stages of ALS prior to functional decline.

4523
Booth 12
Blood-Brain Barrier Leakage in Patients with Alzheimer’s Disease and Dementia with Lewy Bodies
Ziming Xu1, Zhichao Chen2, Lingyun Ma2, Yajie Wang1, Hao Wu3, Hao Lu4, Yong Ji2, and Huijun Chen1

1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, 2Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China, 3Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China, 4Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China

Previous in vivo studies have shown that dysfunction of blood-brain barrier is highly associated with the process of Alzheimer’s disease (AD), but similar studies in dementia with Lewy bodies (DLB) have rarely been reported. In this study, for the first time, differences of BBB leakage among patients with AD, DLB and age-matched healthy control in different brain regions had been demonstrated, which may serve as one potential tool for diagnosis of different neurodegenerative diseases and contribute to our understanding of their pathophysiological basis.

4524
Booth 13
Monitoring mild cognitive impairment of workers exposed to occupational aluminum based on quantitative susceptibility mapping
Zhiyi Zhang1, Haoru Jiang1, Xiangru Sun1, Xiaochun Wang1, Bin Wang1, Qiao Niu1, Huaxing Meng1, Jiangfeng Du1, Guoqiang Yang1, Bo Liu1, Hui Zhang1, and Yan Tan1

1Shanxi Medical University, Taiyuan, China

In this work, we presented a study which investigated the diagnostic value of quantitative susceptibility mapping (QSM) in mild cognitive impairment (MCI) of occupational aluminum (Al) workers, we found that QSM might be a reliable neuroimaging marker for the diagnosis of MCI.

4525
Booth 14
Predicting conversion from normal aging to mild cognitive impairment using 1H-MRS of posterior cingulate cortex
Anna Kiryanova1, Andrei Manzhurtsev1,2,3, Olga Bozhko2,4, Yana Fedorova4, and Natalia Semenova 1,2,3,5

1Lomonosov Moscow State University, Moscow, Russian Federation, 2Clinical and Research Institute of Emergency Pediatric Surgery and Trauma, Moscow, Russian Federation, 3Emanuel Institute of Biochemical Physics of RAS, Moscow, Russian Federation, 4Mental Health Research Center, Moscow, Russian Federation, 5Semenov Federal Research Center of Chemical Physics of the Russian Academy of Sciences., Moscow, Russian Federation

This study aims to identify possible biomarkers of minimal cognitive impairment (MCI) in the posterior cingulate cortex using MR spectroscopy. Absolute concentrations of metabolites such as Cr, NAA, Cho, Glx, Ins were determined in subjects with MCI and in subjects from the normal group. Our study revealed a statistically significant increase in the absolute concentration of choline-containing compounds, as well as the Cho/Cr value in PCC in the MCI group, what may indicate the destruction of cell membranes. The results expand our knowledge in understanding the causes of MCI and are promising for the study of Cho as biomarkers.

4526
Booth 15
Reduced GABA levels in the medial prefrontal cortex are associated with cognitive impairment in patients with NMOSD
Yang Yang1, Qiuyu Yu1, Peng Wu2, Hui Dai1, Xiaojuan Wu1, Shuting Han1, and Yonggang Li1

1The First Affiliated Hospital of Soochow University, Suzhou, China, 2Philips Healthcare, Shanghai, China

Cognitive impairment is a symptom present in part of patients with neuromyelitis optica spectrum disorder (NMOSD). We demonstrated decreased GABA levels in the medial prefrontal cortex (mPFC) in NMOSD participants compared to healthy controls. The mPFC GABA levels showed significant associations with cognitive performance in patients with NMOSD. This study suggested that the changes in regional GABA levels might be a potential metabolic feature of cognitive decline in patients with NMOSD.


Imaging Nerves, Head & Neck

Gather.town Space: South West
Room: 1
Thursday 9:15 - 11:15
Neuro
Module : Module 17: White Matter & Nervous System

4527
Booth 1
Rapid High-resolution Quantitative MR Neurography in the Lumbosacral Plexus using Accelerated Quantitative Double Echo Steady-State (qDESS)
Takumi Ogawa1, Kayoko Abe2, Yutaka Hamatani1, Yasuhiro Goto1, Masami Yoneyama3, Quin Lu4, Isao Shiina1, Kazuo Kodaira1, Mana Kato1, Michinobu Nagao2, and Shuji Sakai2

1Department of Radiological Services, Tokyo Woman's Medical University, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Woman's Medical University, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare NA, San Francisco, CA, United States

Double Echo Steady-State (DESS) with water-selective excitation is a useful sequence to depict small nerves such as intracranial nerves, it would also be promising for visualizing lumbar nerves. Recently, accelerated qDESS sequence combined with compressed sensing sensitivity encoding (Compressed SENSE) has been proposed for further rapid knee morphological and quantitative imaging. In this study, we evaluate the feasibility of the accelerated qDESS sequence for visualization and quantification of the lumbosacral plexus within a short scan time.

4528
Booth 2
Improved visualization of MR Neurography in the lumbosacral and sciatic nerves using double-diffusion sensitized driven-equilibrium (D2SDE)
Daichi Murayama1, Masami Yoneyama2, Takayuki Sakai1, Hajime Yokota3, Shigehiro Ochi1, and Atsuya Watanabe4,5

1Department of Radiology, Eastern Chiba Medical Center, Chiba, Japan, 2Philips Japan, Tokyo, Japan, 3Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 4Orthopaedic Surgery, Eastern Chiba Medical Center, Chiba, Japan, 5General Medical Services, Graduate School of Medicine, Chiba University, Chiba, Japan

We developed a new prepulse scheme, D2SDE, inspired by filter-probe double diffusion scheme for improved visualization of MR Neurography in the lumbosacral and sciatic nerves. This technique may be useful for arriving at an accurate diagnosis of lumbosacral plexus pathology.

4529
Booth 3
Improved Visualization of MR Neurography in the Cervical Nerve Roots using Accelerated Quantitative Double Echo Steady-State (qDESS)
Yutaka Hamatani1, Kayoko Abe2, Yasuhiro Goto1, Masami Yoneyama3, Quin Lu4, Isao Shiina1, Kazuo Kodaira1, Takumi Ogawa1, Mana Kato1, Michinobu Nagao2, and Shuji Sakai2

1Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Healthcare NA, San Francisco, CA, United States

Accelerated quantitative double echo steady state (qDESS), which is combined with Compressed SENSE is expected to improve visualization of the cervical nerve roots and brachial plexus. The purpose of this study was to optimize flip angle (FA) and spatial resolution (3D voxel size) of accelerated qDESS to visualize the small nerve roots and brachial plexus in the cervical spine. As a result, a combination of FA: 35 degree and voxel size: 0.8mm3 was the most appropriate parameters to demonstrate them while suppressing the background signals including the muscles, blood vessels, and cerebrospinal fluid.

4530
Booth 4
Feasibility of inhomogeneous magnetization transfer for the peripheral nerve of the brachial plexus
Takayuki Sada1, Hajime Yokota2, Ryuna Kurosawa1, Takafumi Yoda1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Guillaume Gilbert4, Yoshitada Masuda1, and Takashi Uno2

1Department of Radiology, Chiba university hospital, Chiba, Japan, 2Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Canada, Mississauga, ON, Canada

Magnetization transfer (MT) has been conventionally used for the determination of myelin. However, the problem with the MT is that it reflects bound water that is not related to myelin. Inhomogeneous Magnetization Transfer (ihMT) can act specifically on myelin, it has been reported to be a useful method for quantifying myelin in brain and spinal cord regions. In this study, we compared conventional MT and ihMT for the brachial plexus, and ihMT might be able to reflect more accurate information about myelin than MT.  

4531
Booth 5
The evaluation of brachial plexus injury by using diffusion tensor imaging (DTI)
Jianxiu Lian*1, Liyang Zhao*2, Zhiwei Shen1, Xiaofang Xu1, Zhigang Peng2, and Xiaona Li2

1Philips Healthcare, Beijing, China, 2The Third Hospital of Hebei Medical University, Shijiazhuang, China

Quantifying the functional parameters of brachial plexus injury can provide more valuable information for clinic. This article aims to apply diffusion tensor imaging (DTI)to brachial plexus injury and reveal the pathological causes of the disease from Magnetic Resonance Imaging (MRI). Our study revealed that patients with brachial plexus injury had higher FA and lower ADC values when compared with the healthy control, and FA showed the better diagnostic efficiency (AUC:0.763; sensitivity: 94.1%; specificity: 44.1%).

4532
Booth 6
Quantitative assessment of lumbar nerve root compression using contrast-enhanced 3D-FIESTA imaging sequence
Kun Ou1, Hui Gao1, Weiyn Vivian Liu2, and Kun Zhang1

1First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China, 2GE Healthcare, Beijing, China

Actual contact surface between the extraforaminal nerve root and the adjacent structures is commonly missing on the conventional MR scanning, possibly leading to misdiagnosis. In our study, the detection rate of nerve root compression was significantly higher on the 3D-FIESTA-C images than T2WI. The shortest distance between the extraforaminal nerve root and the disc of L4/5 and L5/S1 in the healthy group was significantly longer than that in the lumbar disc herniation (LDH) group. The spatial relationship between nerve roots and surrounding tissues could be better described using 3D-FIESTA-C sequence and was helpful for the detection of nerve root compression.

4533
Booth 7
Accelerated brachial Plexus MRI using deep learning constrained compressed SENSE reconstruction
Yi Xiao1, Sixian Hu1, Chunchao Xia1, Zhenlin Li1, Xiaoyong Zhang2, and Chuntang Ling3

1Radiology, West China Hospital Of Sichuan University, Chengdu, China, 2Clinical Science, Philips Healthcare, Chengdu, China, 3Application, Philips Healthcare, Chongqing, China

This study presents an accelerated brachial Plexus MR imaging technique using deep learning constrained compressed SENSE reconstruction (CS-AI-SENSE). The results showed that CS-AI-SENSE could enable comparable diagnostic image quality to the conventional SENSE-accelerated 3D T2-TSE approaches while significantly reduced the data acquisition time, which has potential to enhance the workflow of brachial Plexus MR examinations in clinics. 

4534
Booth 8
To assess the patients with brachial plexus injury and the changes of T2 value after injury by using T2 mapping
Jianxiu Lian*1, Luyao Duan*2, Zhiwei Shen1, Xiaofang Xu1, Zhigang Peng2, and Xiaoman Yu2

1Philips Healthcare, Beijing, China, 2The Third Hospital of Hebei Medical University, Shijiazhuang, China

T2 mapping can provide quantitative parameter T2 values without radiation and damage, which can be used to quantitatively evaluate tissue inflammation and edema. The aim of this study was to evaluate patients with brachial plexus injury by using T2 mapping. And results showed that the T2 value would be prolonged when brachial plexus injured, and the T2 value would be shortened as patients recovers.

4535
Booth 9
The effect of compressed sensing with multiple acceleration factors on brachial plexus 3D NerveVIEW
Haonan Zhang1, Renwang Pu1, and Qingwei Song1

1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China

The 3D-NerveVIEW sequence with suppression of lipid and blood signals and a long echo time can obtain high-quality images for visualization of brachial plexus, while the long scan time may limit its clinical application. Compressed SENSE (CS) is a newly developed technique in MRI that enables accelerated acquisition with maintained image quality. By comparing results of 3D-NerveVIEW for brachial plexus imaging with acceleration by the conventional SENSE and the advanced CS with dierent acceleration factors. We found that the 3D-NerveVIEW for brachial plexus imaging with a CS acceleration factor of 6 can obtained favorable images within signicantly reduced scan time.

4536
Booth 10
Utility of advanced diffusion model in early detection of cervical spondylotic myelopathy: a comparison between DTI and NODDI
Meng-Ze Zhang1, Han-Qiang Ou-Yang1,2,3, Dan Jin1, Chun-Jie Wang1, Jian-Fang Liu1, Qiang Zhao1, Xian-Chang Zhang4, Xiao-Guang Liu1,2,3, Zhong-Jun Liu1,2,3, Ning Lang1, Xing-Wen Sun1, Liang Jiang1,2,3, and Hui-Shu Yuan1

1Peking University Third Hospital, Beijing, China, 2Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China, 3Beijing Key Laboratory of Spinal Disease Research, Beijing, China, 4MR collaboration, Siemens Healthineers Ltd, Beijing, China

This study compared the sensitivity of diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to detect cervical spondylotic myelopathy (CSM) at an early stage. The results showed that NODDI-based indicators can distinguish patients with CSM without T2-weighted increased signal intensity from healthy controls during internal validation, while DTI-based indicators cannot. These findings suggest that NODDI is a promising method to detect CSM at an early stage.

4537
Booth 11
High-spatial assessment of low-level permeability within normal-appearing brain tissue using dual-temporal resolution DCE-MRI
Ka-Loh Li1, Daniel Lewis2, Xiaoping Zhu1, Timothy Cootes1, and Alan Jackson1

1Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom, 2Department of Neurosurgery, Salford Royal NHS Foundation Trust, Manchester, United Kingdom

Quantifying blood-brain barrier permeability in normal-appearing brain through dynamic contrast-enhanced MRI (DCE-MRI) is challenging. We evaluated a new method, which combines the hybrid first-pass Patlak-plot (FP-PP) model with a high spatiotemporal resolution DCE approach termed LEGATOS. Dual-temporal resolution DCE-MRI data in twelve patients with neurofibromatosis type II (NF2) imaged at 1.5T were analyzed, and estimates of Ktrans within normal-appearing grey matter (NAGM) and white matter (NAWM) were compared. This new method permitted high-spatial resolution assessment of low-level permeability in normal-appearing brain and in our NF2 patient cohort a significant positive correlation between tumor volume and NAGM/NAWM Ktrans values was observed. 


4538
Booth 12
Visible "Butterfly" of the Cervical Spinal Cord: A Pilot Study Using 3D and 2D m-FFE with Inhomogeneous Magnetization Transfer Pulse
Takafumi Yoda1, Hajime Yokota2, Takayuki Sada1, Ryuna Kurosawa1, Koji Matsumoto1, Takashi Namiki3, Masami Yoneyama3, Guillaume Gilbert4, Yoshitada Masuda1, and Takashi Uno2

1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan, 3Philips Japan, Tokyo, Japan, 4Philips Canada, Mississauga, ON, Canada

The purpose of this study is to find the parameters that provide the optimal trade-off in Signal-to-noise-ratio (SNR) and contrast-to-noise ratio (CNR) for 3D ihMT m-FFE (3D-ihMT) and to explore the feasibility of that for the segmentability of gray and white matters in the cervical spinal cord compared with 2D ihMT m-FFE (2D-ihMT). We recommend a Flip angle of 7 and TFE factor of 5 as an optimal trade-off between segmentability and artifact level, at least 16 nr repetitions are required for robust segmentation. The segmentability of 3D-ihMT could be increased to a level close to that of 2D-ihMT.

4539
Booth 13
White matter hyperintensities and brain volume changes in Cushing disease and related risk factors
Yue Wu1, Weiwei Wang1, Shiman Wu1, Qing Li2, Zhenwei Yao1, and Zengyi Ma3

1Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China, 2MR Collaborations, Siemens Healthineers Ltd., Shanghai, China, 3Department of Neurosurgery, National Center for Neurological Disorders (NCND), Shanghai Pituitary Tumor Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China

Cushing's disease(CD) has significantly more white matter hyperintensities and enlarged perivascular spaces, compare to same-aged healthy subjects.   Age, diabetes, hypokalemia was significantly related with white matter hyperintensities in CD. The gray matter volume of CD patients was significantly smaller than the healthy subjects. Compared with patients with type 2 diabetes alone, the mean age of CD with diabetes were younger with shorter course of disease, but with more severe white matter damage. the severity of white matter hyperintensities were ranked as belowed: CD with type 2 diabetes, CD without type 2 diabetes, type 2 diabetes.  

4540
Booth 14
Free-water volume fraction increases nonlinearly across the lifespan in healthy human brain white matter areas
Tomasz Pieciak1, Guillem París1, Dani Beck2,3, Ivan I. Maximov3,4, Antonio Tristán-Vega1, Rodrigo de Luis-García1, Lars T. Westlye2,3,5, and Santiago Aja-Fernández1

1Laboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Valladolid, Spain, 2Department of Psychology, University of Oslo, Oslo, Norway, 3NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway, 4Western Norway University of Applied Sciences, Bergen, Norway, 5KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway

The free-water (FW) volume fraction $$$f$$$ is a sensitive diffusion MRI biomarker correlated with microstructural alterations in the human brain. This paper studies the variations in the FW volume fraction $$$f$$$ in healthy human brain white matter (WM) across the lifespan from a set of 248 female and 140 male subjects. Our study reveals positive nonlinear correlations of the volume fraction $$$f$$$ with age over the WM regions and suggests a heteroscedastic nature and age-dependent intra-region-of-interest variability of $$$f$$$ across the lifespan.

4541
Booth 15
Demonstrating the Facial Nerve in the Parotid Gland using 3 Dimension Fast Field Echo imaging: a Pilot Study
Yihua Wang1, Lijun Wang1, Xiaoxiao Zhang2, and Ailian Liu1

1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China

Facial nerve MRI is a clinical challenge that it is difficult to differentiate parotid gland tumors from facial nerve on conventional imaging. It is great demand to develop new diagnostic technology to accurately display peripheral nerve and tumor for avoiding intraoperative injury. In this study, 3 dimension fast field echo imaging(T2WI-3D-FFE) is potentially a valuable sequence in displaying the intraparotid facial nerve and localizing the tumor.


Structural & Functional Connectivity

Gather.town Space: North East
Room: 6
Thursday 14:45 - 16:45
Neuro
Module : Module 1: fMRI

4758
Booth 1
Diffusion MRI harmonization and thresholding improve multicentre network analysis: a demonstration in cerebral small vessel disease
Bruno Miguel de Brito Robalo1,2, Alberto de Luca1,2, Christopher Chen3, Anna Dewenter4, Marco Duering5, Saima Hilal3, Huiberdina L. Koek6, Anna Kopczak4, Bonnie Yin Ka Lam7, Alexander Leemans2, Vincent Mok7, Laurien P. Onkenhout1, Hilde van den Brink1, and Geert Jan Biessels1

1Neurology, Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 3Memory, Aging and Cognition Center, Department of Pharmacology, National University of Singapore, Singapore, Singapore, 4Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany, 5Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 6Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, Netherlands, 7Department of Geriatric Medicine, University Medical Center Utrecht, Utrecht, The Netherlands 7Division of Neurology, Department of Medicine and Therapeutics, Gerald Choa Neuroscience Centre, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong

We investigated if network thresholding and diffusion MRI (dMRI) harmonization improve a) cross-site consistency of network architecture and b) precision and sensitivity to detect network connections disrupted in cerebral small vessel disease (SVD). Brain networks were reconstructed from dMRI in five cohorts. Consistency of network architecture was examined in age-matched controls whereas sensitivity and precision to detect disrupted connections was assessed in sporadic SVD patients. Network consistency, as well as sensitivity and precision to detect disrupted connections were improved by thresholding and harmonization. We recommend using these techniques in networks studies of SVD to leverage existing multicentre datasets.


4759
Booth 2
Intra-hippocampal fiber tracking and connectome from submillimeter DTI of the human hippocampus in vivo and ex vivo
Yixin Ma1,2, Trong-Kha Truong1,2,3, Iain P. Bruce1,4, Alexandra Badea1,2,3,4, Simon Davis4, Chun-Hung Yeh5, Jeffrey R. Petrella1,2,3, and Allen W. Song1,2,3

1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States, 2Medical Physics Graduate Program, Duke University, Durham, NC, United States, 3Department of Radiology, Duke University, Durham, NC, United States, 4Department of Neurology, Duke University, Durham, NC, United States, 5Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan

The hippocampus plays an essential role in memory; the impairment in intra-hippocampal connectivity could result in memory loss in neurodegenerative dementias. We generate intra-hippocampal fiber tracts and connectomes from submillimeter isotropic DTI images for repeated scans from the same subjects and across different subjects. We characterize the fiber orientations and connectivity across hippocampal subfields by registering all in vivo scans onto the population template and we compare these results with those from an ex vivo human brain sample. This method can assess intra-hippocampal connectivity in vivo, which could be potentially used to diagnose neurodegenerative diseases.

4760
Booth 3
Accurate Estimation of Fiber Orientations in the Mouse Brain from Diffusion MRI Signals: Learning from Histological Ground Truth
Zifei Liang1, Tanzil Mahmud Arefin1, Choong Heon Lee1, and Jiangyang Zhang1

1NYU Langone Health, New York, NY, United States

Although dMRI tractograophy has been successfully used to examine brain connectivity, its limitation, mainly in specificity, has also been reported. In this study, we generated a comprehensive mouse brain streamline database based on 2700+ viral tracer data from Allen Institute. The database was used as a ground truth to train a deep learning network to estimate fiber orientations from diffusion MRI data of the mouse brain. Compared to conventional methods, the deep learning network provided more accurate estimation of fiber orientation leading to improved tractography.

4761
Booth 4
Quantitative anisotropy-based fiber tractography reveals tracts moderating age-related decline in functional fitness
Paul B Camacho1,2,3,4, Nishant Bhamidipati1,5, Emily Erlenbach6, Veronica Garcia6, Edward McAuley1,6, Nicholas Burd6, Jessica Damoiseaux7,8, Brad P Sutton1,2,5, and Neha P Gothe1,6

1Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Interdisciplinary Health Sciences Institute, University of Illinois at Urbana Champaign, Urbana, IL, United States, 4Carle-Illinois Advanced Imaging Center, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 6Kinesiology & Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 7Institute of Gerontology, Wayne State University, Detroit, MI, United States, 8Psychology, Wayne State University, Detroit, MI, United States

We present a moderation analysis of the effects of edge strengths from generalized q-sampling imaging-based tractography on the relationship between age and decline in functional fitness in older adults (n = 105, ages 55-79 years old, right-handed). The results of these moderation analyses suggest that the strengths of white matter structural connections involving the cerebellum, cingulum, and other areas involved in motor, sensory, and environmental perception may play a significant role in preserving functional fitness in older adults.

4762
Booth 5
Functional and structural connectomes of the lateral and medial geniculate nuclei in living humans using 7 Tesla MRI
Kavita Singh1, Maria Guadalupe Garcia Gomar1,2, Simone Cauzzo1,3,4, and Marta Bianciardi1,5

1Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2National Autonomous University of Mexico, Mexico, Mexico, 3Sant'Anna School of Advanced Studies, Institute of Life Sciences, Pisa, Italy, 4Research Center E. Piaggio, University of Pisa, Pisa, Italy, 5Division of Sleep Medicine, Harvard University, Division of Sleep Medicine, Boston, MA, United States

The connectivity of lateral and medial geniculate nuclei with cortical and sub-cortical areas involved in visual and auditory functions is known in humans, yet their recently postulated connectivity with neuromodulatory, visceral and sensory brainstem nuclei is understudied. This is due to limited resolution of clinical scanners and lack of brainstem atlas in living humans. To this end, we applied our recently developed in-vivo atlas of brainstem and diencephalic nuclei to 7 Tesla HARDI and resting-state fMRI, and mapped structural and functional connectomes of lateral and medial geniculate nuclei with brainstem nuclei along with cortical and sub-cortical regions.

4763
Booth 6
Functional connectome of hypothalamus, nucleus accumbens and hippocampus in living humans from 7 Tesla resting-state fMRI
Simone Cauzzo1,2,3, Maria Guadalupe Garcia Gomar3,4, Kavita Singh3, and Marta Bianciardi3,5

1Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy, 2Research Center E. Piaggio, University of Pisa, Pisa, Italy, 3Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging (MGH), Charlestown, MA, United States, 4Escuela Nacional de Estudios Superiores, Juriquilla, Universidad Nacional Autónoma de México, Queretaro, Mexico, 5Division of Sleep Medicine, Harvard University, Boston, MA, United States

The hypothalamus and nucleus accumbens promote respectively wakeful arousal and sleep, producing a stable cycle between states. The hippocampus is inherently connected to this cycle, which modulates memory encoding during wakefulness and sleep. While their connectivity to cortical regions is detailed in literature, their connectivity with brainstem nuclei is understudied in living humans.

By using high spatial resolution 7 Tesla resting state fMRI and an in-vivo brainstem nuclei atlas, we provided a functional connectome of hypothalamus, nucleus accumbens and hippocampus with the rest of the brain, including 58 brainstem nuclei along with 148 cortical and 25 subcortical structures.


4764
Booth 7
High dynamicity of cortical depth-dependent connectivity states
Patricia Pais-Roldan1, Shukti Ramkiran1,2, Seong Dae Yun1, and Jon N. Shah1,3,4,5

1INM-4, Forschungszentrum Juelich, Juelich, Germany, 2Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, 3INM-11, Forschungszentrum Juelich, Juelich, Germany, 4Translational Medicine, JARA-BRAIN, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany

We assessed resting-state fMRI acquired with high spatial resolution with a dynamic functional connectivity analysis involving multiple cortical ROIs and depths. Two states relevant to the normalized global laminar connectivity were identified in healthy volunteers (superficial vs. deep layer connectivity predominance). Mean laminar connectivity states were much more dynamic than the states identified in a routine ROI-based dynamic connectivity analysis, suggesting the potential of high-spatial-resolution fMRI to reveal time-varying features in the human brain.

4765
Booth 8
Disconnectome Associated with Progressive White Matter Hyperintensities in Brain Ageing
Meng Li1,2, Mohamad Habes3, and John Detre 1

1Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States, 2College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China, 3Biggs Alzheimer’s Institute, University of Texas San Antonio, San Antonio, TX, United States

White matter hyperintensities (WMH) are commonly seen in older adults and are associated with an increased risk of cognitive decline and dementia, though the mechanism by which WMH cause cognitive decline are incompletely characterized. In this study, we estimated changes in the structural connectome due WMH with aging using WMH lesion frequency maps derived from a population based study as regions of avoidance for DTI tractography on healthy subject DTI data. We found that subcortical connections to frontal cortex are affected in the 50’s and 60’s, with more widespread disconnection increasing more rapidly in the 70’s and 80’s. However, even in the oldest subjects, most edges were only partially disconnected.

4766
Booth 9
Effect of Meditation on Brain Function During an Attention Task Using ASL and BOLD fMRI
Yakun Zhang1, Shichun Chen1, Zongpai Zhang1, Wenna Duan1, Li Zhao2, George Weinschenk1, Wen-Ming Luh3, Adam Anderson4, and Weiying Dai1

1Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, United States, 2College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 3National Institute on Aging, National Institutes of Health, Baltimore, MD, United States, 4Department of Human Development, Cornell University, Ithaca, NY, United States

The effect of meditation on brain functional activation when engaged in an attention task was evaluated longitudinally using dASL and BOLD fMRI in nine healthy subjects. Functional activation before and after meditation practice was compared and the change of functional activation was correlated with practice time. Using dASL, functional activation in the occipital region was significantly reduced; more practice time was associated with more reduced activation in the mediofrontal, temporal, and precuneus regions. Using BOLD fMRI, no significant activation was found. The findings suggest that dASL has superior performance in detecting task performance and that meditation can improve brain efficiency.

4767
Booth 10
Longitudinal Recovery of Dynamic Functional Connectivity After Focused Ultrasound-Neuromodulation in V2L of Normal Rat Model
Yu-Chieh Hung1, Yi-Cheng Wang1, Hao-Li Liu2, and Hsu-Hsia Peng1

1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

Non-invasive focused ultrasound (FUS) offered attractive advantages to modulate neuronal activity. The functional connectivity (FC) between different brain regions is a dynamic process during a period of examinations. We aimed to explore the longitudinal effect of FUS-neuromodulation on secondary visual cortex lateral area (V2L) by dynamic FC. We assessed k-means analysis and dynamic network analysis of dynamic FC of Pre-FUS, Sham, 35-min, 3-hr, and 3-day after FUS sonication at V2L. We found the instant effect of FUS-neuromodulation (35-min) and the recovery in a longitudinal follow-up of 3-day, suggesting the potential usefulness of FUS-neuromodulation.

4768
Booth 11
Evaluation of traumatic brain injury in pigs using a novel cross-group temporal correlation analysis
Wenwu Sun1, William Reeves1, Madison Fagan2, Christina Welch2, Kelly Scheulin2, Sydney Sneed2, Franklin West2, and Qun Zhao1

1Department of Physics and Astronomy, University of Georgia, Athens, GA, United States, 2Regenerative Bioscience Center and Department of Animal and Dairy Science, University of Georgia, Athens, GA, United States

Traumatic brain injury (TBI) can lead to dynamic changes in functional network activity that can be assessed by functional magnetic resonance imaging (fMRI). In this study, we utilized a novel temporal correlation analysis approach to evaluate a novel microbiome transplantation treatment effect on network connectivity in a translational porcine. Sparse dictionary learning (sDL) and independent component analysis (ICA) were applied to both a full dataset (TBI and sham) and the Sham-only dataset, resulting in four groups of results. Consistency was observed across the four results, indicating that evaluation of treatment effects can be achieved through the proposed temporal correlation analysis. 

4769
Booth 12
Brain Mapping of Mindfulness Meditation, Slow Paced Breathing and Spontaneous Breathing
Suk-tak Chan1 and Kenneth Kwong K Kwong1

1Martinos Center, Radiology, Massachusetts General Hospital, Charlestown, MA, United States

A preliminary comparison of physiological and fMRI data from an experienced meditator during mindfulness, paced breathing at 6 breaths/min, and spontaneous breathing provided several characteristic findings related to the brain-body mechanisms of mindfulness: 1) a reduction of breathing rate together with indicators of improved respiratory gas exchange (RGE); 2) a significant correlation between the temporal oscillation of RGE metrics and cerebral hemodynamic fluctuations (CHF) in regions within the salience and default mode networks; 3) a difference in the coherence of CHF with RGE and with heart cycle duration (NN).


Quantitative Neuroimaging & Neurofluids IV

Gather.town Space: South West
Room: 5
Thursday 17:00 - 19:00
Neuro
Module : Module 25: Gray Matter & Neurofluids

4831
Booth 1
Gender Differences in Cell Volume Fraction (CVF) of Human Brains Measured by Quantitative Sodium MR Imaging
Keith R Thulborn1

1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States

The cell volume fraction (CVF), derived from tissue sodium concentration as measured by quantitative sodium MR imaging, in the human brain is high (~0.82) and maintained with normal aging despite decreases in brain volume. The gender difference (females: 0.807±0.009; males: 0.827±0.011, p<0.001) is also maintained over normal aging. This difference is posited to reflect the energy saving from higher CVF required for the larger male brain with higher number of neurons and synapses compared to female brains.

4832
Booth 2
Physical Activity during Pregnancy is Associated with Newborn’s Brain Cortical Development
Xiaoxu Na1, Rajikha Raja1, Aline Andres2,3, and Xiawei Ou1,3,4

1Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 2Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States, 3Arkansas Children’s Nutrition Center, Little Rock, AR, United States, 4Arkansas Children's Research Institute, Little Rock, AR, United States

This study examined relationships between mother’s physical activity during pregnancy and newborn’s brain cortical development. Healthy pregnant women were recruited and their physical activity level were monitored throughout pregnancy. Their newborns underwent a brain MRI examination at 2 weeks of postnatal age. Brain structural images were post-processed and mean cortical thickness for different brain regions was calculated. We found that at both 1st and 2nd trimester of pregnancy, there were significant positive correlations between mother’s physical activity level and newborn’s brain cortical thickness in multiple regions, suggesting positive impact of mother’s physical activity during pregnancy on offspring brain cortical development. 

4833
Booth 3
Development of high resolution PD-weighted, T2-weighted, and T2 map templates for use in studies on older adults.
ABDUR RAQUIB RIDWAN1, Mohammad Rakeen Niaz1, Yingjuan Wu1, Shengwei Zhang2, David A. Bennett2, and Konstantinos Arfanakis1,2

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States

Atlas based MRI investigations involving PD-weighted (PDw), T2-weighted (T2w) MRI sequences on older adults typically utilized younger adult templates such as those of the ICBM. Additionally, a thorough quantitative assessment of how available standardized PDw and T2w templates perform on aging population has not yet been performed. Here a new standardized high resolution PDw, T2w and T2 map templates of the MIITRA atlas dedicated for studies on older adults was developed using concepts of super-resolution and sparse-representation and compared to other available standardized templates in terms of image quality, inter-subject spatial normalization accuracy and representativeness of the older adult brain.

4834
Booth 4
Harmonization of Cortical Thickness Measurements Throughout the Human Lifespan
Sahar Ahmad1, Fang Nan2, Ye Wu1, Zhengwang Wu1, Weili Lin1, Li Wang1, Gang Li1, Di Wu3,4, and Pew-Thian Yap1

1Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Biostatistics, University of Washington, Seattle, WA, United States, 3Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 4Division of Oral and Craniofacial Health Research, Adams School of Dentistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Pooling and integrating diverse imaging data across multiple sites is key to big data analytics in neuroimaging. Data amassed from multiple studies are inevitably heterogeneous due to differences in scanners, acquisition protocols, and post-acquisition image processing pipelines, substantially complicating downstream analyses. Here, we present a harmonization technique for multi-site large-scale longitudinal and cross-sectional data. We demonstrate the utility of our method in removing non-biological variability in cortical thickness measurements of individuals from birth to 100 years of age. 

4835
Booth 5
Principal Spectra Analysis by Linear Modeling (PSALM)
Alexander Saunders1,2 and Stefan Blüml1,2

1Radiology, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States, 2Rudi Schulte Research Institute, Santa Barbara, CA, United States

We hypothesized in vivo MR spectra can be sufficiently described by spectra representing predominant cell/tissue types rather than individual metabolites. We sought to extract two putative basis spectra of grey matter and white matter from 584 single-voxel 3T MR spectra using the principal spectra analysis by linear modeling (PSALM) custom algorithm. Two extracted PSALM bases explained >95% of fit variance; principal component analysis required 6-8 components to achieve the same. We found the algorithm produced high signal-to-noise, low linewidth basis spectra that robustly fit in vivo spectra from normal brain.

4836
Booth 6
Improvement of Accuracy and Stability of Oxygen Extraction Fraction Measurements by Using Triple-Echo Asymmetric Spin Echo Sequence
Jian Shen1 and John Wood1,2

1University of Southern California, Los Angeles, CA, United States, 2Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

Asymmetric Spin Echo (ASE) is a popular technique to obtain quantitative estimates of R2’, cerebral venous blood volume (vCBV), and oxygen extraction fraction (OEF) noninvasively in normal subjects. In this study, We demonstrated the feasibility of using Triple-Echo ASE to induce a more stable and accurate vCBV and OEF estimates with no increase in scan time. In addition, this study investigated the role of diffusion in ASE measurements and provided insights into future acquisition approaches.

4837
Booth 7
Surface-Volume Registration Produces Atlases More Realistic than Either Surface or Volume Registration
Sahar Ahmad1, Zhengwang Wu1, Weili Lin1, Gang Li1, Li Wang1, and Pew-Thian Yap1

1Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

We show that spatial registration by simultaneously considering both tissue contrast and cortical geometry produces brain atlases that are more reflective of individuals than registration by considering only one of the two factors alone. Registration with tissue contrast alone produces atlases with blurred cortical structures. Registration with cortical geometry alone produces surface atlases that are artificially sharp but do not reflect surface attributes of individuals.

4838
Booth 8
Pathway analysis of cerebral bicarbonate production from hyperpolarized [1-13C]pyruvate
Maheen Zaidi1,2,3, Jun Chen1, Junjie Ma1, Xiaodong Wen1, Brenda Bartnik-Olson4, and Jae Mo Park1,5,6

1Advanced Imaging Research Center, UT Southwestern, Dallas, TX, United States, 2Psychology, UT Dallas, Richardson, TX, United States, 3Neurobiology, UT Dallas, Richardson, TX, United States, 4Radiology, Loma Linda University, Loma Linda, CA, United States, 5Radiology, UT Southwestern, Dallas, TX, United States, 6Electrical Engineering, UT Dallas, Richardson, TX, United States

Detection of [13C]bicarbonate in the brain from hyperpolarized [1-13C]pyruvate provides a unique opportunity for assessing cerebral mitochondrial function in-vivo. Although decarboxylation of the labeled pyruvate occurs within the mitochondria, the metabolic path of the injected pyruvate could be complex before being transported to intracellular space. In this study, we investigated the likelihood of pyruvate being converted to lactate prior to decarboxylation.


4839
Booth 9
Assessment of human brain pyruvate oxidation using functional hyperpolarized 13C MRS
Maheen Zaidi1,2,3, Binu P. Thomas1,4, Junjie Ma1, Salvador Pena1, Jun Chen1, James Ratnaker1, Craig R. Malloy1,4,5, Brenda Bartnik-Olson6, and Jae Mo Park1,4,7

1Advanced Imaging Research Center, UT Southwestern, Dallas, TX, United States, 2Psychology, UT Dallas, Richardson, TX, United States, 3Neurobiology, UT Dallas, Richardson, TX, United States, 4Radiology, UT Southwestern, Dallas, TX, United States, 5Internal Medicine, UT Southwestern, Dallas, TX, United States, 6Radiology, Loma Linda University, Loma Linda, CA, United States, 7Electrical and Computer Engineering, UT Dallas, Richardson, TX, United States

[13C]Bicarbonate production from hyperpolarized [1-13C]pyruvate in the brain is directly related to pyruvate oxidation and, thus serves a potential biomarker of brain function. In this study, we assessed time-wise bicarbonate production in the visual cortex during activation with minimal perturbation of its precursors, pyruvate and lactate, using a multichannel 13C receive array, a spectral-spatial RF pulse that fully excites bicarbonate signals, and dynamic 13C MRS. The real-time changes of bicarbonate production in response to visual stimuli were observed in healthy volunteers.

4840
Booth 10
Differentiating TCA Cycle Activity of Gray and White Matter in Human Brain at 7T Using High Resolution Dynamic Deuterium MRS Imaging with SPICE
Xiao-Hong Zhu1, Hannes M Wiesner1, Yudu Li2,3, Wei Zhu1, Tao Wang1, Xin Li1, Zhi-Pei Liang2,3, and Wei Chen1

1University of Minnesota, Minneapolis, MN, United States, 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

The emerging deuterium MRS (DMRS) imaging (DMRSI) technology has shown great promise in studying brain glucose metabolism, TCA cycle and glycolytic activity. In particular, its potential as a clinical tool for tumor detection in brain or other organs has attracted a lot of attention. However, the temporal and spatial resolution of dynamic DMRSI is limited by its low detection sensitivity. In this study, we proved that 7T high-resolution dynamic DMRSI combined with SPICE method can not only map the Glx production rate constant, but also distinguish the TCA cycle activity level between human brain gray matter and white matter.

4841
Booth 11
Rapid, high-spatial resolution in vivo diffusion MRI with joint subsampling and reconstruction in k-,q- and RF-space
Gabriel Ramos-Llorden1, Berkin Bilgic1,2, and Susie Y. Huang1,2

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States

In this work, we accelerate the high-SNR, high-spatial resolution in vivo diffusion MRI technique gSlider by applying subsampling jointly in the k,-q, and RF-encoding space. Good reconstruction quality is achieved if complementary information from the multi-dimensional space k-,q-, and RF-space is combined in a complementary fashion and the reconstruction problem is solved jointly.

4842
Booth 12
Enhancing linguistic research through 2-mm isotropic 3D dynamic speech magnetic resonance imaging
Riwei Jin1, Brad Sutton1, Ryan Keith Shosted1, Jonghye Woo2, Fangxu Xing2, Jamie Perry3, Imani Gilbert3, and Zhipei Liang1

1University of Illinois Urbana-Champaign, Champaign, IL, United States, 2Massachusetts General Hospital, Boston, MA, United States, 3East Carolina University, Greenville, NC, United States

We are able to push the spatial resolution of dynamic speech magnetic resonance imaging to 2-mm near-isotropic level with 64 mm coverage of 32 3D slice locations that are spaced 2-mm apart with 35 fps. We choose to analyze lingual differences of American English voiced lateral [l] and (central) [t]. Several analysing methods are utilized such as magnitude comparison, t-test and deformation map comparison.  The results give us detailed observations of lingual articulatory differences such as tongue grooving, twisting and coarticulation. Through this high spatial and temporal resolution, we demonstrate that this method will show great potentials on linguistic research.

4843
Booth 13
Discovery of two novel deep gray matter brain iron networks through an Independent Component Analysis of Quantitative Susceptibility Maps
Jack A Reeves1, Niels Bergsland1,2, Dejan Jakimovski1, Fahad Salman1, Juliane Damm1, Nicklas Meineke1, Michael G Dwyer1,3, Robert Zivadinov1,3, and Ferdinand Schweser1,3

1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy, 3Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, United States

Magnetic resonance imaging (MRI) studies have shown age and neurological disease affect iron concentrations in the deep gray matter (DGM). However, it is unknown whether iron accumulation occurs independently across DGM regions or in inter-regional patterns, i.e. “iron networks”. Here, we identified two highly reproducible, inter-regional DGM iron networks by applying independent component analysis (ICA) to quantitative susceptibility maps (QSM) from healthy volunteers. Areas of network overlap had relatively high iron concentrations and each network was related to separate environmental variables, indicating they have independent mechanisms of iron change. Our results advance the understanding of brain iron physiology.

4844
Booth 14
Unsupervised learning with multi-parametric diffusion MRI to detect brain injury in concussed athletes
L. Tugan Muftuler1, Timothy B. Meier 1, and Michael A. McCrea1

1Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States

Despite high prevalence of concussion in contact sports, there is still a lack of reliable, unbiased biomarkers of brain injury and recovery following sport-related concussion. The changes in imaging biomarkers after concussion are generally subtle such that signs of abnormalities are detected only in group analyses with large cohorts. Although diffusion MRI techniques show promise, detecting injury in individual subjects is still a challenge. The goal of this project is to identify potential signatures of brain injury in an individual subject with concussion using an unsupervised learning method using parameters derived from diffusion kurtosis imaging (DKI).

4845
Booth 15
Improved Structural Neuro-MRI with Triple TSE-based Synthetic MP-RAGE
Lei Zhang1, Ryan McNaughton2, Hernan Jara2, David N. Kennedy3, Carmen A. Marable1, Ning Hua4, Karl C. K. Kuban4, T. Michael O'Shea1, and Rebecca C. Fry1

1University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Boston University, Boston, MA, United States, 3University of Massachusetts Chan Medical School, Worcester, MA, United States, 4Boston University Medical Center, Boston, MA, United States

Purpose: To develop and evaluate a metal-artifact robust triple turbo-spin-echo (TSE)-based synthetic MP-RAGE method. Methods: T1, T2 and PD maps generated from triple TSE, two MP-RAGE image sets simulated by the Bloch equation, and FreeSurfer brain segmentation were performed on 44 participants at age of fifteen. Results: Reduced artifact and homogenous synthetic MP-RAGE images were produced in orthodontic brace-wearing subjects. Comparable image contrast and FreeSurfer brain segmentation results were observed between synthetic and acquired MP-RAGE in normal subjects. Conclusion: Triple TSE based synthetic MP-RAGE may enhance conventional MP-RAGE in the neuroimaging studies of orthodontic brace-wearing subjects with reduced metal artifacts. 


Gray Matter & Neurofluids II

Gather.town Space: South West
Room: 4
Thursday 17:00 - 19:00
Neuro
Module : Module 25: Gray Matter & Neurofluids

4846
Booth 1
Addressing ultra highfield MRI challenges in ex-vivo
Nadim Farhat1, Heching Jin2, Tales Santini1, Tiago Martins2, Jacob Berardinelli1, Noah Schweitzer1, Salem AlKhateeb 1, Milos Ikonomovic1, Julia Ann Kofler3, Joseph Mettenburg3, Howard J. Aizenstein1, and Tamer S. Ibrahim1

1University of Pittsburgh, pittsburgh, PA, United States, 2Bioengineering, University of Pittsburgh, pittsburgh, PA, United States, 3UPMC Presbyterian Hospital, Pittsburgh, PA, United States

 
We present a comprehensive ex-vivo brain ultra-high field ex-vivo brain MRI workflow that addresses transmit magnetic field in-homogeneities without the need to build a dedicated ex-vivo coil. Additionally, we show that 7T T1w ex-vivo with high quality grey to white matter contrast is feasible with MP2RAGE .
 

4847
Booth 2
3D Pseudo-Continuous Arterial Spin Labeling Acquisition using a High-Performance Gradient System: A Scan Time and Image Quality Assessment
Afis Ajala1, Seung-Kyun Lee1, Daehun Kang2, Luca Marinelli1, Desmond Teck Beng Yeo1, and Thomas Foo1

1Magnetic Resonance Imaging, GE Global Research, Niskayuna, NY, United States, 2Mayo Clinic, Rochester, MN, United States

The maximum gradient amplitude (Gmax) and slew rate (SRmax) determine the minimum number of interleaves (and total scan time) in a 3D pseudo-continuous arterial spin-labeling (3DpCASL) acquisition with a stack-of-spirals readout module for a given spatial resolution. The higher Gmax and SRmax of a recently developed head-only gradient system (MAGNUS) was utilized to reduce the total scan time of a clinical 3DpCASL acquisition by a factor of 2 compared to a similar acquisition carried out at a lower Gmax and SRmax of a conventional whole-body system (CWBS) while maintaining comparable image quality.

4848
Booth 3
Systemic inflammation alters brain blood flow and R2*: An in-vivo 9.4T MRI animal study
Qandeel Shafqat1, Ying Wu1, A. Max Hamilton1, Mada Hashem1, and Jeff F Dunn1

1Department of Radiology, University of Calgary, Calgary, AB, Canada

Systemic inflammation is linked to a range of neurological diseases. Reductions in cerebral blood flow (CBF) and the presence of brain hypoxia have been detected in animal models of inflammation and in multiple sclerosis, a disease with significant inflammation. Reduced CBF combined with hypoxia could exacerbate damage in neuroinflammatory conditions. To study this link, we used in-vivo 9.4T MRI to quantify CBF and R2*, a marker of deoxyhemoglobin, following systemic inflammation induced by bacterial lipopolysaccharide. We found reduced CBF and increased R2* in 4 regions, including the cortex and hippocampus—indicating that inflammation is accompanied by hypoxia and reduced CBF.

4849
Booth 4
Quantitative Mapping of Brain Tissue Oxygenation around chronically implanted neural interfaces
Yuka Sugamura1, Arati Sridharan1, Umu Jalloh1, Babak Moghadas1, Livia De Mesquita Teixeira1, Jitendran Muthuswamy1, and Vikram Kodibagkar1

1Arizona State University, Tempe, AZ, United States

Chronic implantation of neural interfaces often experiences decrease in signal reliability over time. Tissue response, including the alteration of the oxygen kinetics, is thought to be a major cause. Here, we report the spatial mapping of brain oxygenation around chronically implanted electrodes using a previously developed quantitative MRI-based oxygen sensing technique, PISTOL. Seven 200 um diameter electrodes implanted in four mice allowed quantitative pO2 mapping throughout the 7-week study. No changes were observed in the baseline brain tissue oxygenation as well as the response to respiratory challenge. Future studies will combine this approach with electrophysiology, and ultimately perform simultaneous assessment.

4850
Booth 5
INTRACRANIAL EFFECTS OF ARTIFICIAL GRAVITY: A 3T MRI STUDY
Larry Allen Kramer1, Khader H. Hasan1, Xu Zhang2, Brandon R. Macias3, Karina Marshall-Goebel4, Steven S. Laurie4, and Eric M. Bershad5

1Diagnostic Imaging, UTSHC-Houston, Houston, TX, United States, 2UTSHC-Houston, Houston, TX, United States, 3NASA, Houston, TX, United States, 4KBR, Houston, TX, United States, 5BCM, Houston, TX, United States

Headward fluid shift is a natural consequence of working in microgravity. It is theorized to be the cause of changes in brain morphology and the development of optic nerve pathology in astronauts.  This study looked at the application of artificial gravity in the form of short-arm centrifugation at 0.3g as a potential countermeasure in 24 healthy volunteers over a 60 day period.  Headward fluid shift was simulated using a head down tilt bed rest model.  Both continuous and intermittent artificial gravity for 30 minutes per day failed to show any benefit on intracranial changes associated with chronic headward fluid shift.

4851
Booth 6
Bariatric Surgery increases Cerebral Blood Flow in Women with Obesity
Sudipto Dolui1, Ariana M. Chao1, Noel N. Williams1, Thomas A. Wadden1, and John A. Detre1

1Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Obesity is a significant risk factor for cerebrovascular disease including dementia. Cerebral blood flow (CBF) provides a biomarker of cerebrovascular health and can be measured non-invasively using arterial spin labeled (ASL) perfusion MRI. Here we examined longitudinal ASL data from adult women with obesity who underwent bariatric surgery. We demonstrated that weight loss was associated with significant increases in CBF from baseline to 6 and 18 months after surgery. Change in glucose and insulin level did not mediate the relationship, suggesting a more direct association between obesity and CBF.

4852
Booth 7
Is T2 a biomarker of inflammation in normal appearing gray matter: Maybe!
Qandeel Shafqat1, Rehman Tariq1, Rania Muhammed1, Ying Wu1, and Jeff F. Dunn1

1Department of Radiology, University of Calgary, Calgary, AB, Canada

With the reduction in use of gadolinium enhanced MRI for assessment of neuroinflammation, it is important to identify new non-invasive biomarkers of brain inflammation, as well as to understand the link between inflammation induced pathology and MRI. We used quantitative T2, behaviour and histology to study gray matter in an LPS mouse model of inflammation. There was a significant reduction in T2, along with behaviour and histological markers indicating inflammation. Although T2 appears useful as biomarker for inflammation, it may be that the precision needed will make it difficult to implement in patients.

4853
Booth 8
Dynamic Changes in the Pituitary Gland and Brain Stiffness with Treatment of Idiopathic Intracranial Hypertension
Petrice M Cogswell1, Matthew C Murphy1, Muhammad T Bhatti2, Jeremy K Cutsforth-Gregory3, John Huston III1, and John J Chen2

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Opthalmology, Mayo Clinic, Rochester, MN, United States, 3Neurology, Mayo Clinic, Rochester, MN, United States

Morphological changes in the pituitary gland and brain stiffness in idiopathic intracranial hypertension (IIH) are not well understood. We evaluated the difference in pituitary height and regional brain stiffness between IIH patients and controls and how these metrics change following acute and chronic treatment. The pituitary gland is smaller in IIH patients than controls and increases in size after chronic, but not acute, treatment of raised intracranial pressure. IIH patients have a different pattern of brain stiffness than controls, including stiffer occipital lobes. Following chronic treatment, the stiffness pattern becomes more like controls, though occipital stiffness does not significantly change.

4854
Booth 9
Development and evaluation of a comprehensive array of gray matter labels for the MIITRA atlas: Interoperability with complementary atlases
Mohammad Rakeen Niaz1, Abdur Raquib Ridwan1, Yingjuan Wu1, Shengwei Zhang2, David A. Bennett2, and Konstantinos Arfanakis1,2

1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States

The Multichannel Illinois Institute of Technology & Rush university Aging (MIITRA) atlas constructed using high quality MRI data on a large (N=400), diverse, community cohort of non-demented older adults, contains high resolution (0.5mm isotropic) structural and diffusion tensor imaging templates. The purpose of this work was to build and evaluate a comprehensive array of gyral-based, cytoarchitecture-based, and functional connectivity-based gray matter labels in MIITRA space in order to enhance the functionality of the MIITRA atlas and its interoperability with complementary atlases.

4855
Booth 10
Correlates of Perivascular Spaces Volume Based on Automated Segmentation of T1-weighted MRI
Sichen Ludwig Zhao1, William S Tackett2, Banafsheh Shakibajahromi2, Sudipto Dolui3, Ilya M Nasrallah3, David A Wolk2, Corey T McMillan2, Farshid Sepehrband4, and John A Detre2

1Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 4Laboratory of Neuroimaging, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States

Perivascular spaces (PVS) are a component of the glymphatic system, the brain-wide waste drainage pathway, but the pathophysiological significance of enlarged perivascular space volume is incompletely characterized. We obtained PVS segmentations from 167 cognitively intact or mildly symptomatic older subjects from high-resolution T1-weighted MRI using an automated approach and correlated PVS volume with both amyloid status, as determined by amyloid PET, and cortical thickness changes from normative values. Automated PVS segmentations required additional masking of CSF spaces and manual exclusion of some lacunar infarcts. PVS volume was correlated with brain atrophy and not amyloid status.

4856
Booth 11
Increased hippocampal cerebrospinal fluid fraction is associated with episodic verbal learning and memory deficits in multiple sclerosis
Thanh D Nguyen1, Liangdong Zhou1, Elizabeth M Sweeney1, Melanie Marcille1, Susan A Gauthier1, Yi Wang1, and Yi Li1

1Weill Cornell Medicine, New York, NY, United States

We applied FAST-T2 multi-component T2 relaxometry to 145 MS patients and found that the mean hippocampal CSF fraction, a measure of glymphatic clearance dysfunction in the hippocampus, was negatively associated with verbal learning and memory performance measured by the California Verbal Learning Test after adjusting for age, sex, MS phenotype, disease duration, and log total lesion volume.

4857
Booth 12
A Multi-Sequence, Interleaved MRI-DMI Protocol for Human Brain
Yanning Liu1, Henk M De Feyter2, Robert K Fulbright2, Scott McIntyre2, Terence W Nixon2, and Robin A de Graaf1,2

1Department of Biomedical Engneering, Yale University, New Haven, CT, United States, 2Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States

Deuterium Metabolic Imaging (DMI) is an emerging method to spatially map metabolism in vivo. To enhance the time efficiency of a combined MRI-DMI protocol, interleaved MRI-DMI acquisitions were developed for multiple clinical MRI sequences. The protocol includes four MRIs that are commonly used in neurological MRI exams, namely FLAIR, T2W, SWI and T1W MP-RAGE, with DMI acquisition in parallel, acquired in 28 minutes. We demonstrate the performance of the interleaved MRI-DMI protocol on healthy human brain and discuss the guiding principles as well as limitations of extending other MRI sequences with DMI using the presented interleaving strategy. 


4858
Booth 13
EPI with Parallel Imaging (eπ2) self-calibrates the image distortion due to B0 field inhomogeneity
Hong Hsi Lee1, Berkin Bilgic1, and Susie Y Huang1

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

Correcting image distortions in echo-planar-imaging (EPI) due to B0 field inhomogeneity usually requires additional acquisitions, such as a B0 field map or blip-up-blip-down image pair. Interestingly, susceptibility distortions in EPI with parallel imaging can be corrected by leveraging the mismatch in phase-encoding polarity and/or effective echo-spacing between the auto-calibration-signal and under-sampled data, obviating the need for additional image acquisitions. Here we demonstrate the proposed pipeline of susceptibility distortion correction in in vivo diffusion MRI data of a healthy subject, and the results and estimated field values are comparable with the conventional method.