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Related Experiment Video

Updated: Oct 17, 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

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Brain-Computer Interface Training With Functional Electrical Stimulation: Facilitating Changes in Interhemispheric

Anita M Sinha1,2, Veena A Nair2, Vivek Prabhakaran2

  • 1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.

Frontiers in Neuroscience
|October 14, 2021
PubMed
Summary

Brain-Computer Interface (BCI) with functional electrical stimulation (FES) improved upper limb function in stroke survivors. This neurorehabilitation enhanced motor network connectivity, correlating with significant behavioral recovery and improved daily autonomy.

Keywords:
brain-computer interfacemotor recoveryneurorehabilitationresting-state fMRIstrokeupper extremity

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Stroke survivors often face persistent upper limb sensorimotor deficits, impacting daily life autonomy.
  • Brain-Computer Interface (BCI) technology offers potential for stroke motor recovery, but its effects on functional connectivity and behavior require further investigation.

Purpose of the Study:

  • To investigate the impact of EEG-based BCI intervention combined with functional electrical stimulation (FES) on resting-state functional connectivity (rsFC) and motor outcomes in stroke survivors.
  • To explore correlations between changes in rsFC within the motor network and behavioral improvements.

Main Methods:

  • Twenty-three stroke patients with upper limb motor impairment underwent BCI intervention with FES.
  • Resting-state functional magnetic resonance imaging (rs-fMRI) and behavioral assessments (ARAT, SIS) were conducted pre-intervention, post-intervention, and at 1-month follow-up.
  • Analysis focused on changes in motor network rsFC and their correlation with behavioral measures.

Main Results:

  • Group-level analysis revealed significant increases in interhemispheric and network rsFC within the motor network following BCI intervention.
  • Patients demonstrated significant improvements in the Action Research Arm Test (ARAT) and Stroke Impact Scale (SIS) domains.
  • Changes in interhemispheric rsFC from pre- to post-intervention (including 1-month follow-up) correlated with behavioral improvements in motor-related functions.

Conclusions:

  • BCI intervention with FES effectively enhances interhemispheric connectivity within the motor network in stroke survivors.
  • This neurorehabilitation approach facilitates significant upper limb motor recovery, as evidenced by behavioral improvements.
  • The findings suggest BCI-FES is a promising therapeutic strategy for improving motor function and connectivity after stroke.