[Post-stroke rehabilitation training with a brain-computer interface: a clinical and neuropsychological study]

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Stroke frequently causes hemiplegia, impacting motor function and quality of life.
• Mental practice and physical therapy are crucial for post-stroke motor recovery.
• Brain-computer interfaces (BCI) offer novel approaches to enhance motor rehabilitation.

Purpose of the Study:

• To assess the clinical effectiveness of BCI-supported mental practice in stroke patients.
• To identify cognitive impairments that hinder mental practice and motor imagery (MI).

Main Methods:

• Fifty-five hemiplegic stroke patients were randomized into BCI and sham-controlled groups.
• Motor function was assessed using Fugl-Meyer Assessment (FMA) and Action Research Arm Test (ARAT).
• BCI group patients underwent kinesthetic imagination training with exoskeleton feedback; 12 patients received neuropsychological testing.

Main Results:

• Both groups showed improvements in ARAT and FMA scores.
• The BCI group demonstrated significant improvements in ARAT grasp, pinch, and gross movement scores.
• Cognitive tests (Taylor Figure, choice reaction, Head tests) correlated with BCI online accuracy.

Conclusions:

• BCI integration with exoskeleton-assisted physical therapy enhances post-stroke motor rehabilitation outcomes.
• Neuropsychological testing is valuable for pre-rehabilitation screening to personalize mental practice.
• This approach can optimize recovery by addressing individual cognitive profiles.