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影响因子：5.682

DOI码：10.18632/aging.103676

发表刊物：Aging-US

刊物所在地：Albany NY

关键字：dynamic functional connectivity; graph theory attribute; multiple system atrophy; receiver operating characteristic; ventral anterior cingulate cortex.

摘要：In order to explore the topological alterations in functional brain networks between multiple system atrophy (MSA) patients and healthy controls (HC), a new joint analysis method of static and dynamic functional connectivity (FC) is proposed in this paper. Twenty-four MSA patients and twenty HCs were enrolled in this study. We constructed static and dynamic brain networks from resting-state fMRI data and calculated four graph theory attributes. Statistical comparisons and correlation analysis were carried out for static and dynamic FC separately before combining both cases. We found decreased local efficiency (LE) and weighted degree (WD) in cerebellum from both static and dynamic graph attributes. For static FC alone, we identified increased betweenness centrality (BC) at left dorsolateral prefrontal cortex, left Cerebellum_Crus9 and decreased WD at Vermis_6. For dynamic FC alone, decreased BC, clustering coefficients and LE at several cortical regions and cerebellum were identified. All the features had significant correlation with total UMSARS scores. Receiver operating characteristic analysis showed that dynamic features had the highest area under the curve value. Our work not only added new evidence for the underlying neurobiology and disrupted dynamic disconnection syndrome of MSA, but also proved the possibility of disease diagnosis and progression tracking using rs-fMRI.

合写作者： Shan Ren, Weizheng Ran, Xinning Zhang, Wenyang Tian, Zhigang Chen, Weibei Dou, Zhiqun Wang,Ying Chen, Weibei Dou, Zhi Tao, Liming Chen

第一作者：Weimin Zheng, Yunxiang Ge,Zhongzhe Xiao, Ying Chen, Weibei Dou, Zhi Tao, Liming Chen

论文类型：期刊论文

通讯作者：Zhigang Chen, Weibei Dou, Zhiqun Wang

卷号：12

期号：16

页面范围：16341-16356

ISSN号：1945-4589

是否译文：否

发表时间：2020-08-27