Neurophysiological substrates of stroke patients with motor imagery-based Brain-Computer Interface training

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Stroke frequently causes severe upper extremity paralysis, significantly impacting patient quality of life.
• Conventional therapies and Functional Electrical Stimulation (FES) offer limited recovery for some patients.
• Brain-Computer Interfaces (BCI) show promise in neurorehabilitation by leveraging neural plasticity.

Purpose of the Study:

• To evaluate the efficacy of motor imagery-based Brain Computer Interface (MI-BCI) training for stroke patients with upper extremity paralysis.
• To compare the effects of MI-BCI training with Functional Electrical Stimulation (FES) on motor function and neurophysiology.
• To investigate the neural mechanisms underlying motor recovery induced by MI-BCI.

Main Methods:

• Longitudinal clinical assessments of motor function (e.g., ARAT) and neurophysiological changes (EEG) were conducted.
• Eight stroke patients received MI-BCI training, while a control group (n=7) received conventional therapy plus FES.
• Training duration was 8 weeks, with continuous monitoring of electroencephalographic (EEG) signals.

Main Results:

• The MI-BCI group showed significant improvement in upper extremity motor function (p < 0.05 for ARAT) compared to the control group.
• MI-BCI training led to significant enhancement of event-related desynchronization (ERD) in affected sensorimotor cortexes (SMCs) (p < 0.05).
• Activation of bilateral cerebral hemispheres, affected SMCs, and parietal lobe correlated with motor function recovery (p < 0.05).

Conclusions:

• MI-BCI training is an effective therapeutic strategy for enhancing upper extremity motor function in stroke survivors.
• MI-BCI facilitates optimal cerebral motor functional reorganization, contributing to motor recovery.
• This approach offers a promising avenue for neurorehabilitation in patients with severe paralysis post-stroke.