EEG-Based Auditory BCI for Communication in a Completely Locked-In Patient Using Volitional Frequency Band Modulation
Deland Liu, Frigyes Samuel Racz, Zoe Lalji, Jose del R. Millan

TL;DR
This study demonstrates that a completely locked-in ALS patient can use an EEG-based BCI to communicate by volitionally modulating brain activity, showing potential for restoring communication in severe paralysis.
Contribution
First evidence that non-invasive EEG BCIs enable communication in CLIS patients through voluntary frequency band modulation guided by auditory feedback.
Findings
Patient successfully responded to questions with above-chance accuracy
Volitional modulation of alpha and beta bands was consistent over sessions
Communication was achieved across multiple online sessions
Abstract
Patients with amyotrophic lateral sclerosis (ALS) in the completely locked-in state (CLIS) can lose all reliable motor control and are left without any means of communication. It remains unknown whether non-invasive electroencephalogram (EEG) based brain-computer interfaces (BCIs) can support volitional communication in CLIS. Here, we show that a CLIS patient was able to operate an EEG-based BCI across multiple online sessions to respond to both general knowledge and personally relevant assistive questions. The patient delivered "Yes"/"No" responses by volitionally modulating alpha and beta band power at different channels, guided by real-time auditory feedback from the BCI. The patient communicated assistive needs above chance in all sessions, achieving a perfect score in the final session. Performance on general knowledge questions varied across sessions, with two sessions showing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEEG and Brain-Computer Interfaces · Muscle activation and electromyography studies · Gaze Tracking and Assistive Technology
