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Disrupted Module Efficiency of Structural and Functional Brain Connectomes in Clinically Isolated Syndrome and Multiple Sclerosis

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机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [2]Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China, [3]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, [4]Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands, [5]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China, [6]Institute of Neurology and Healthcare Engineering, University College London, London, United Kingdom, [7]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, [8]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China, [9]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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关键词: multiple sclerosis clinically isolated syndrome diffusion MRI functional MRI graph theory brain network

摘要:
Recent studies have demonstrated disrupted topological organization of brain connectome in multiple sclerosis (MS). However, whether the communication efficiency between different functional systems is affected in the early stage of MS remained largely unknown. In this study, we constructed the structural connectivity (SC) and functional connectivity (FC) networks in 41 patients with clinically isolated syndrome (CIS), 32 MS patients and 35 healthy controls (HC) based on diffusion and resting-state functional MRI. To quantify the communication efficiency within and between different functional systems, we proposed two measures called intra-and inter-module efficiency. Based on the module parcellation of functional backbone network, the intra-and inter-module efficiency of SC and FC networks was calculated for each participant. For the SC network, CIS showed decreased inter-module efficiency between the sensory-motor network (SMN), the visual network (VN), the default-mode network (DMN) and the fronto-parietal network (FPN) compared with HC, while MS showed more widespread decreased module efficiency both within and between modules relative to HC and CIS. For the FC network, no differences were found between CIS and HC, and a decreased inter-module efficiency between SMN and FPN and between VN and FPN was identified in MS, compared with HC and CIS. Moreover, both intra-and inter-module efficiency of SC network were correlated with the disability and cognitive scores in MS. Therefore, our results demonstrated early SC changes between modules in CIS, and more widespread SC alterations and inter-module FC changes were observed in MS, which were further associated with cognitive impairment and physical disability.

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出版当年[2017]版:
大类 | 2 区 医学
小类 | 2 区 心理学 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 神经科学 3 区 心理学
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出版当年[2016]版:
Q1 PSYCHOLOGY Q2 NEUROSCIENCES
最新[2023]版:
Q2 PSYCHOLOGY Q3 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [2]Tiantan Image Research Center, China National Clinical Research Center for Neurological Diseases, Beijing, China, [3]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, [4]Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands,
通讯作者:
通讯机构: [3]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, [7]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China, [8]Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China, [9]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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