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Brain-machine Interface (BMI)-based Neurorehabilitation for Post-stroke Upper Limb Paralysis.

Meigen Liu1, Junichi Ushiba2

  • 1Professor Emeritus, Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.

The Keio Journal of Medicine
|June 19, 2022
PubMed
Summary

Brain-machine interface (BMI) therapy shows promise for upper limb paralysis after stroke, especially when using movement attempts and neuromuscular electrical stimulation (NMES). Further development is needed for wider clinical use.

Keywords:
electroencephalographyhand functionmental practiceneurofeedbackneuroplasticity

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Upper limb paralysis post-stroke recovery is challenging, with traditional focus on compensatory strategies.
  • Emerging evidence highlights the brain's significant neuroplasticity, driving interest in functional restorative approaches.
  • Existing restorative therapies include constraint-induced movement therapy, robotic therapy, and neuromuscular electrical stimulation (NMES).

Purpose of the Study:

  • To review the effectiveness and application of brain-machine interface (BMI) technologies in upper limb rehabilitation after stroke.
  • To identify optimal parameters for BMI neurorehabilitation based on existing clinical trials and meta-analyses.
  • To discuss the future directions and requirements for the clinical implementation of BMI therapy.

Main Methods:

  • Systematic review of randomized controlled trials and meta-analyses on BMI neurorehabilitation for upper limb paralysis.
  • Subgroup analyses to identify factors influencing intervention effectiveness (e.g., timing, trigger task, external device).
  • Discussion of a specific electroencephalography-based BMI system developed by the Keio BMI team.

Main Results:

  • Randomized controlled trials and meta-analyses demonstrate medium to large effect sizes for BMI neurorehabilitation.
  • Higher intervention effects observed in the subacute stroke group compared to the chronic group.
  • Using movement attempts as the trigger task and NMES as the external device yielded better results than motor imagery or other devices.

Conclusions:

  • BMI neurorehabilitation is a promising functional restorative approach for upper limb paralysis post-stroke.
  • Optimizing BMI therapy involves using movement-based triggers and NMES, particularly in the subacute phase.
  • Wider clinical application requires clarification of BMI's role, commercialization of user-friendly devices, professional training, and technological advancements.