Related Experiment Video
Updated: May 29, 2026
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in
Keiichiro Shindo1, Kimiko Kawashima, Junichi Ushiba
1Department of Rehabilitation Medicine, Keio University Tsukigase Rehabilitation Center, 380-2 Tsukigase. krugreims@yahoo.co.jp
Objective:
To explore the effectiveness of neurorehabilitative training using an electroencephalogram-based brain- computer interface for hand paralysis following stroke.
Design:
A case series study.
Subjects:
Eight outpatients with chronic stroke demonstrating moderate to severe hemiparesis.
Methods:
Based on analysis of volitionally decreased amplitudes of sensory motor rhythm during motor imagery involving extending the affected fingers, real-time visual feedback was provided. After successful motor imagery, a mechanical orthosis partially extended the fingers. Brain-computer interface interventions were carried out once or twice a week for a period of 4-7 months, and clinical and neurophysiological examinations pre- and post-intervention were compared.
Results:
New voluntary electromyographic activity was measured in the affected finger extensors in 4 cases who had little or no muscle activity before the training, and the other participants exhibited improvement in finger function. Significantly greater suppression of the sensory motor rhythm over both hemispheres was observed during motor imagery. Transcranial magnetic stimulation showed increased cortical excitability in the damaged hemisphere. Success rates of brain-computer interface training tended to increase as the session progressed in 4 cases.
Conclusion:
Brain-computer interface training appears to have yielded some improvement in motor function and brain plasticity. Further controlled research is needed to clarify the role of the brain-computer interface system.
