Advancing stroke rehabilitation: the potential and challenges of closed-loop brain-computer interface technology - Summary - MDSpire

Advancing stroke rehabilitation: the potential and challenges of closed-loop brain-computer interface technology

  • By

  • Yan Cheng

  • Xiangkui Guo

  • Lijia Dong

  • Qiang Deng

  • Maoqi Qiu

  • Zhongchun Luo

  • June 24, 2026

  • 0 min

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Objective:

To systematically review the latest clinical advancements, neural mechanisms, and challenges of closed-loop BCIs in post-stroke rehabilitation.

Approach:
  • Literature Search Strategy: A comprehensive search was conducted across multiple databases using specific MeSH terms and text words, focusing on studies involving stroke patients and closed-loop BCI systems.
  • Inclusion/Exclusion Criteria: Included studies had to involve stroke patients using closed-loop BCIs with clear reporting of rehabilitation-related outcomes. Excluded were animal studies and those using open-loop systems.
  • Qualitative Synthesis: Due to methodological heterogeneity, a qualitative synthesis was employed, introducing the Minimal Clinically Important Difference (MCID) to evaluate clinical benefits.
Key Findings:
  • Closed-loop BCI technology demonstrates multi-dimensional application potential in stroke rehabilitation, promoting interhemispheric functional rebalancing and corticospinal tract remodeling.
  • Neurofeedback has shown initial efficacy in improving specific executive functions and attention, but the evidence is heterogeneous.
  • Adverse reactions to non-invasive devices primarily manifest as mild fatigue; for invasive systems, the incidence of device-related adverse events is approximately 5.6 per 1,000 device-days.
Interpretation:

Limitations:
  • High methodological heterogeneity in intervention paradigms and outcome measures across studies.
  • Limited quantitative meta-analysis due to variability in outcome assessments.
Conclusion:

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