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Related Experiment Video

Updated: Jul 28, 2025

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

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Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized

Jianghong Fu1, Shugeng Chen1, Xiaokang Shu2

  • 1Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.

Frontiers in Neuroscience
|May 30, 2023
PubMed
Summary

This study shows that a portable brain-computer interface (BCI) system significantly improved hand motor recovery in stroke patients compared to standard training. The BCI group demonstrated greater functional gains, highlighting its potential for clinical rehabilitation.

Keywords:
RCTbrain-computer interfaceshand rehabilitationmotor recoverystroke

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Brain-computer interfaces (BCIs) show promise for post-stroke hand motor recovery.
  • Existing BCI systems often have limited motor tasks and complex operations, hindering clinical application.
  • A functional-oriented, portable BCI device was developed to address these limitations.

Purpose of the Study:

  • To explore the efficiency of a novel, functional-oriented, portable BCI equipment for hand motor recovery in stroke patients.
  • To compare the effectiveness of BCI-based training with traditional task-oriented guidance training.

Main Methods:

  • Randomized controlled trial comparing a BCI group with a control group.
  • Both groups received 20 sessions of 30-minute motor training over 4 weeks.
  • The Fugl-Meyer assessment of the upper limb (FMA-UE) was used for outcome assessment, alongside EEG signal processing.

Main Results:

  • The BCI group showed significantly greater improvement in FMA-UE scores compared to the control group (p=0.005).
  • 80% of patients in the BCI group achieved the minimal clinically important difference (MCID) in FMA-UE, versus 51.6% in the control group.
  • BCI accuracy averaged 70.7%, with improvement observed over the training period.

Conclusions:

  • Functional-oriented, portable BCI training, incorporating grasp and open hand movements, effectively promotes hand recovery in stroke patients.
  • This BCI approach is suitable for clinical practice and may aid patients with hand dysfunction.
  • Changes in inter-hemispheric balance, indicated by lateral index, might be a key mechanism in motor recovery.