Clinical Research Directory

Using Motor Imagery-based Brain-computer Interface With Multiple Sclerosis Patients.

Sponsor: Pasquale Arpaia

Summary

The goal of this clinical trial is to evaluate the effectiveness of a wearable brain-computer interface (BCI)-based neurofeedback system using motor imagery (MI) to support upper limb motor rehabilitation in patients with Multiple Sclerosis (MS). The main questions it aims to answer are: Does BCI-mediated neurofeedback enhance the voluntary modulation of sensorimotor rhythms (ERD/ERS) during motor imagery tasks in MS patients? Is the proposed BCI system usable, acceptable, and potentially suitable for telerehabilitation contexts? Researchers will compare a group undergoing BCI-based neurofeedback plus conventional motor therapy with a control group receiving only standard rehabilitation, to determine whether the intervention leads to superior EEG modulation and clinical outcomes. Participants will: Undergo 24 neurofeedback sessions over 12 weeks (2 per week), (experimental group), or do not receive any therapy (control group); Complete baseline and follow-up evaluations (6 weeks, 12 weeks, and 1-month post-treatment) including motor imagery ability (MIQ-3), manual dexterity (9-Hole Peg Test, AMSQ), perceived fatigue (FSS), and usability (SUS); Perform EEG-based motor imagery tasks with visual and haptic feedback in immersive extended reality (experimental group only).

Official title: Clinical Investigation Into the Use of a Motor Imagery-based Brain-computer Interface for Rehabilitation Support in Patients With Multiple Sclerosis.

Key Details

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