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).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
40
The device used to deliver the Motor Imagery (MI)-based Brain-Computer Interface (BCI) training consists of a wearable EEG headset connected to a laptop that provides real-time multimodal neurofeedback in an extended reality environment.
Centro di Sclerosi Multipla dell'Azienda Ospedaliera Universitaria Federico II
Naples, Italia, Italy
Modulation of ERD/ERS patterns during Motor Imagery (MI) tasks
Evaluate the efficacy of a Brain-Computer Interface (BCI)-based neurofeedback protocol in enhancing voluntary modulation of sensorimotor rhythms (Event-Related Desynchronization/Synchronization - ERD/ERS) during upper limb MI tasks in patients with Multiple Sclerosis (MS).
Time frame: From baseline to week 12
System Usability and User Acceptance
Assess usability, satisfaction, and acceptability of the BCI-based neurofeedback system through the System Usability Scale (SUS) and participant feedback. Analyze correlations with functional clinical outcomes and evaluate potential for home-based telerehabilitation use.
Time frame: Week 12 (end of treatment)
Roberta Lanzillo Lanzillo, Medical Doctor in Neurology
CONTACT
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