ORBi: Noirhomme Quentin - Detecting Consciousness with a Brain-computer Interface

Reference : Detecting Consciousness with a Brain-computer Interface


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/2268/135495

Title :	Detecting Consciousness with a Brain-computer Interface
Language :	English
Author, co-author :	Noirhomme, Quentin [Université de Liège - ULg > > Centre de recherches du cyclotron >]
	Lesenfants, Damien [Université de Liège - ULg > > Centre de recherches du cyclotron >]
	Lehembre, Remy [Université de Liège - ULg > > Centre de recherches du cyclotron >]
	Lugo, Zulay []
	Chatelle, Camille [Université de Liège - ULg > > Centre de recherches du cyclotron >]
	Vanhaudenhuyse, Audrey [Université de Liège - ULg > > Centre de recherches du cyclotron >]
	Laureys, Steven [Université de Liège - ULg > > Centre de recherches du cyclotron >]
Publication date :	Nov-2012
Main document title :	Converging Clinical and Engineering Research on Neurorehabilitation
Editor :	Pons, J. L.
	Torricelli, D.
	Pajaro, M.
Publisher :	Springer-Verlag
Collection and collection volume :	Biosystems & Biorobotics
Pages :	1261-1264
On invitation :	Yes
Audience :	International
ISBN :	9783642345456
City :	Berlin Heidelberg
Event name :	International Conference on NeuroRehabilitation, ICNR2012
Event date :	November 2012
Event place (city) :	Toledo
Event country :	Spain
Keywords :	[en] Brain-computer interface ; BCI ; diagnosis
Abstract :	[en] Recent electrophysiological and neuroimaging studies showed command-specific changes in EEG or fMRI signals of unresponsive patients providing motor-independent evidence of conscious thoughts. These promising results have paved the way for a new application for Brain-computer Interface (BCI): detecting consciousness in patients with disorders of consciousness (DOC). In the present abstract, we review the first results obtained by BCI-like applications in patients with DOC and discuss the challenges facing BCI research. We believe that patients with DOC may benefit from BCI based diagnosis. BCIs may detect changes in the signal in response to command and, in some cases, may permit communication.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/2268/135495
Framework Programme / European Project :	FP7 ; 247919 - DECODER - Deployment of Brain-Computer Interfaces for the Detection of Consciousness in Non-Responsive Patients

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