Brain-computer interfaces, Locked-In syndrome, and disorders of consciousness

Damien Lesenfants*, Camille Chatelle, Steven Laureys, Quentin Noirhomme

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


Detecting signs of consciousness in patients with severe brain injury constitutes a real challenge for clinicians. The current gold standard in clinical diagnosis is the behavioral scale relying on motor abilities, which are often impaired or nonexistent in these patients. In this context, brain-computer interfaces (BCIs) could offer a potential complementary tool to detect signs of consciousness whilst bypassing the usual motor pathway. In addition to complementing behavioral assessments and potentially reducing error rate, BCIs could also serve as a communication tool for paralyzed but conscious patients, e.g., suffering from Locked-In Syndrome. In this paper, we report on recent work conducted by the Coma Science Group on BCI technology, aiming to optimize diagnosis and communication in patients with disorders of consciousness and Locked-In syndrome. ? 2015 m?decine/sciences ? Inserm.
Original languageEnglish
Pages (from-to)906-913
JournalM S-Medecine Sciences
Issue number10
Publication statusPublished - Oct 2015

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