Brain-Computer Interface Improves Symptoms of Isolated Focal Laryngeal Dystonia: A Single-Blind Study

Area of Science:

• Neuroscience
• Biomedical Engineering
• Speech Pathology

Background:

• Laryngeal dystonia (LD) is a focal, task-specific neurological disorder impacting speech.
• Current therapeutic options for LD are limited.
• A non-invasive, closed-loop, neurofeedback brain-computer interface (BCI) was developed for LD treatment.

Purpose of the Study:

• To develop and test a novel BCI neurofeedback intervention for laryngeal dystonia.
• To assess the efficacy of BCI in modulating aberrant brain activity during speech in LD patients.
• To evaluate the impact of BCI intervention on voice symptoms and patient-reported outcomes.

Main Methods:

• Ten patients with isolated focal LD participated in a five-day intervention.
• A personalized BCI system provided visual neurofeedback of real-time EEG activity in a virtual reality environment.
• Patients learned to modulate increased brain activity during speaking to match patterns during asymptomatic whispering.

Main Results:

• A statistically significant reduction in voice symptoms was observed during the BCI intervention (Days 1-5).
• Improved controllability of neurofeedback and significant reductions in specific EEG power (delta and gamma) were noted.
• 70% of patients reported sustained voice quality improvements one week post-intervention.

Conclusions:

• Closed-loop BCI neurofeedback shows significant potential as a novel treatment for LD.
• This intervention targets the specific pathophysiology of LD.
• The approach may be applicable to other forms of task-specific focal dystonia.