Multimodal assessment of a BCI system for stroke rehabilitation integrating motor imagery and motor attempts: a randomized controlled trial

BCI-based rehabilitation using an attention-motor dual-task paradigm significantly improved upper limb motor function and enhanced motor and cognitive network activity in stroke patients. Multimodal assessment supports the potential of BCI rehabilitation as an effective tool for leveraging neuroplasticity and promoting motor recovery.

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Publication Details

Journal
Journal of NeuroEngineering and Rehabilitation
Published
2025-08-26
DOI
https://doi.org/10.1186/s12984-025-01723-8
Citations
9
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
12.88
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article

Multimodal assessment of a BCI system for stroke rehabilitation integrating motor imagery and motor attempts: a randomized controlled trial

Jin Qiao, Ziwen Yuan, H Q Xi, Ming-Shu Chen et al.
9 citations
Journal of NeuroEngineering and Rehabilitation
EEG and Brain-Computer Interfaces
12.88
article

Multimodal assessment of a BCI system for stroke rehabilitation integrating motor imagery and motor attempts: a randomized controlled trial

Jin Qiao, Ziwen Yuan, H Q Xi, Ming-Shu Chen, Zhengzhe Cui, Jing Guo, Dan Zhu, Quan Lu, Juan He, Yang Bin, Shiqiang Zhu
article en
9 citations

Abstract

BCI-based rehabilitation using an attention-motor dual-task paradigm significantly improved upper limb motor function and enhanced motor and cognitive network activity in stroke patients. Multimodal assessment supports the potential of BCI rehabilitation as an effective tool for leveraging neuroplasticity and promoting motor recovery.

Journal of NeuroEngineering and RehabilitationVol. 22(1)
Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 1%
EEG and Brain-Computer Interfaces
12.88
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