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Coupling of brain activity and structural network in multiple sclerosis: A graph frequency analysis study.

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机构： [1]Peng Cheng Laboratory, Shenzhen, China. [2]Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China. [3]Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China. [4]Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China. [5]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [6]Mindsgo Life Science Shenzhen Co. Ltd, Shenzhen, China. [7]Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. [8]National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.

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The brain activities and the underlying wiring diagrams are vulnerable in multiple sclerosis (MS). Also, it remains unknown whether the complex coupling between these functional and structural brain properties would be affected. To address this issue, we adopted graph frequency analysis to quantify the high-order structural-functional interactions based on a combination of brain diffusion and functional MRI data. The structural-functional decoupling index was proposed to measure how much brain regional functional activity with different graph frequency was organized atop the underlying wiring diagram in MS. The identified patterns in MS included (1) disruption of inherent structural-functional coupling in the somatomotor network (β = 0.05, p = 0.03), and (2) excessive decrease of decoupling in the subcortical (β = -0.10, p = 0.02), visual (β = -0.04, p = 0.01), and dorsal attention networks (β = -0.12, p = 0.03). Besides, this structural-functional coupling signature in the somatomotor network was associated with cognitive worsening of MS patients (β = -24.31, p = 0.006). Overall, our study unveiled a unique signature of brain structural-functional reorganization in MS.© 2022 Wiley Periodicals LLC.

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出版当年[2021]版：

大类 | 3 区医学

小类 | 4 区神经科学

最新[2023]版：

大类 | 3 区医学

小类 | 4 区神经科学

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出版当年[2020]版：

Q2 NEUROSCIENCES

最新[2023]版：

Q2 NEUROSCIENCES

影响因子： 2.9 最新[2023版] 4 最新五年平均 4.164 出版当年[2020版] 4.428 出版当年五年平均 4.699 出版前一年[2019版] 4.433 出版后一年[2021版]

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第一作者机构： [1]Peng Cheng Laboratory, Shenzhen, China.

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通讯机构： [1]Peng Cheng Laboratory, Shenzhen, China. [4]Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China. [7]Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China. [8]National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China. [*1]Department of Electronics and Information, Harbin Institute of Technology at Shenzhen, Rm 1206, Information Building, HIT Campus, Shenzhen University Town Nanshan District, Shenzhen, 518055, Guangdong Province, China.

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