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Updated: Jul 10, 2026
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Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
Advancing stroke rehabilitation: the potential and challenges of closed-loop brain-computer interface technology
Yan Cheng1, Xiangkui Guo1, Lijia Dong1
1Department of Rehabilitation Medicine, People's Hospital of Leshan, Leshan, Sichuan, China.
Frontiers in Neurology
|July 9, 2026
Summary
Closed-loop brain-computer interfaces (BCIs) show promise for stroke rehabilitation by aiding motor and cognitive recovery. This review highlights their potential and challenges for future clinical application.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Stroke is a major cause of long-term disability.
- Closed-loop brain-computer interfaces (BCIs) offer neuromodulation for cortical reconstruction.
- This review examines BCI advancements in post-stroke rehabilitation.
Purpose of the Study:
- To systematically review clinical advancements in closed-loop BCIs for stroke.
- To explore neural mechanisms and challenges of these systems.
- To assess their role in post-stroke recovery.
Main Methods:
- Systematic literature search following PRISMA guidelines.
- Qualitative synthesis due to methodological heterogeneity.
- Inclusion of 42 studies meeting closed-loop BCI criteria.
Main Results:
- BCIs with actuators aid motor recovery via functional rebalancing.
- Neurofeedback shows potential for cognitive function improvement.
- Safety profiles are generally favorable, with mild side effects for non-invasive and controllable risks for invasive systems.
Conclusions:
- Closed-loop BCIs represent a novel neuromodulation strategy for stroke.
- Further research requires multicenter RCTs and AI integration.
- Standardized outcomes are crucial for clinical translation.
