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Updated: Jun 10, 2026

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Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
Published on: September 1, 2023
The effect of brain-computer interface training on cognitive function in stroke patients: a systematic review and
Yuwen Fan1, Limei Gao2, Zihan Lin1
1Department of Neurosurgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, Jiangsu, China.
Journal of Neurology
|June 8, 2026
Summary
Brain-computer interface (BCI) training significantly enhances cognitive functions like attention and executive function, alongside daily living activities in stroke survivors. However, memory function did not show significant improvement.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Stroke survivors often experience significant cognitive impairments affecting daily life.
- Brain-computer interfaces (BCIs) offer a novel approach to neurorehabilitation by leveraging neural activity for therapeutic benefit.
Purpose of the Study:
- To evaluate the efficacy of BCI-based interventions for cognitive and functional recovery in stroke survivors.
- To identify moderators, such as feedback modes and BCI paradigms, influencing BCI training outcomes.
Main Methods:
- A systematic review and meta-analysis of randomized controlled trials (RCTs) were conducted across multiple databases.
- Standardized mean differences (SMDs) were pooled to synthesize effect sizes, with subgroup analyses exploring heterogeneity.
Main Results:
- BCI training significantly improved global cognitive function (SMD = 0.62), attention, and executive function, as well as activities of daily living.
- No significant improvements were noted in memory function.
- Subgroup analyses indicated superior outcomes with active BCI paradigms and multimodal feedback in the subacute phase of stroke.
Conclusions:
- BCI training is a promising intervention for enhancing cognitive recovery post-stroke.
- Early intervention and the use of multimodal feedback are crucial for optimizing therapeutic effects.
Keywords:
Brain–computer interfaceCognitive functionDose–response analysisMeta-analysisStroke rehabilitation
