Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate

Differences in EEG microstate features during left and right-hand MI tasks in acute stroke patients may reflect lateralized mechanisms of brain network reorganization. Microstate features hold significant potential for both post-stroke brain function assessment and the optimization of BCI systems. These features could enhance adaptive BCI strategies in acute stroke rehabilitation.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-06-18
DOI
https://doi.org/10.1186/s12984-025-01668-y
Citations
7
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
10.02

Funders

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article

Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate

Yehong Zhang, Zhixian Gao, Shiyang Lv, Zongya Zhao et al.
7 citations
Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer Interfaces
10.02
article

Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate

Yehong Zhang, Zhixian Gao, Shiyang Lv, Zongya Zhao, Yi Yu, Ting Pang, Xuezhi Zhou, Mengsheng Xia, Xiangying Ran
article en
7 citations

Abstract

Differences in EEG microstate features during left and right-hand MI tasks in acute stroke patients may reflect lateralized mechanisms of brain network reorganization. Microstate features hold significant potential for both post-stroke brain function assessment and the optimization of BCI systems. These features could enhance adaptive BCI strategies in acute stroke rehabilitation.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
Henan Medical University (CN)
National Natural Science Foundation of China, Henan University
Openalex Percentile: Top 2%
EEG and Brain-Computer Interfaces
10.02
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