Time-Varying Effective Connectivity for Describing the Dynamic Brain Networks of Post-stroke Rehabilitation

Time-Varying Effective Connectivity for Describing the Dynamic Brain Networks of Post-stroke Rehabilitation

Hemiplegia is a common motor dysfunction caused by a stroke. However, the dynamic network mechanism of brain processing information in post-stroke hemiplegic patients has not been revealed when performing motor imagery (MI) tasks. We acquire electroencephalography (EEG) data from healthy subjects an...

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Bibliographic Details
Main Authors: Fangzhou Xu, Yuandong Wang, Han Li, Xin Yu, Chongfeng Wang, Ming Liu, Lin Jiang, Chao Feng, Jianfei Li, Dezheng Wang, Zhiguo Yan, Yang Zhang, Jiancai Leng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
stroke
motor imagery
time-varying network
graph theory
Fugl-Meyer assessment
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.911513/full

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