Article (Scientific journals)
Mental imagery for brain-computer interface control and communication in non-responsive individuals
Lugo, Zulay R.; Pokorny, C.; Pellas, F. et al.
2020In Annals of Physical and Rehabilitation Medicine, 63 (1), p. 21-27
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Keywords :
Brain-computer interface; Disorders of consciousness; Locked-in syndrome; User-centered design; Article
Abstract :
[en] Background: People who survive severe brain damage may eventually develop a prolonged consciousness disorder. Others can regain full consciousness but remain unable to speak or move because of the severity of the lesions, as for those with locked-in syndrome (LIS). Brain-computer interface techniques can be useful to disentangle these states by detecting neurophysiological correlates of conscious processing of information to enable communication with these individuals after the diagnosis. Objective: The goal of our study was to evaluate with a user-centered design approach the usability of a mental imagery task to detect signs of voluntary information processing and enabling communication in a group of severely disabled individuals. Methods: Five individuals with LIS participated in the study. Participants were instructed to imagine hand, arm or feet movements during electroencephalography (EEG) to detect patterns of event-related synchronization/desynchronization associated with each task. After the user-centered design, usability was evaluated (i.e., efficiency, effectiveness and satisfaction). Results: Two participants achieved significant levels of accuracy in 2 different tasks. The associated workload and levels of satisfaction perceived by the users were moderate and were mainly related to the time demand of the task. Conclusion: Results showed lack of effectiveness of the task to detect voluntary brain activity and thus detect consciousness or communicate with non-responsive individuals. The application must be modified to be sufficiently satisfying for the intended end-users and suggestions are made in this regard. © 2019 Elsevier Masson SAS
Research center :
CHU de Liège-Centre du Cerveau² - ULiège
Disciplines :
Neurosciences & behavior
Author, co-author :
Lugo, Zulay R.;  GIGA Consciousness, Coma Science Group, University of Liège, Belgium, Department of Psychology I, University of Würzburg, Germany, French Association of Locked-In Syndrome (ALIS), Boulogne-Billancourt, 92100, France
Pokorny, C.;  Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
Pellas, F.;  French Association of Locked-In Syndrome (ALIS), Boulogne-Billancourt, 92100, France, Coma Arousal Unit, PMR Department, Nîmes University Hospital, Nîmes, France
Noirhomme, Quentin ;  Université de Liège - ULiège > GIGA CRC In vivo Imaging
Laureys, Steven  ;  Université de Liège - ULiège > GIGA Consciousness-Coma Science Group
Müller-Putz, G.;  Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
Kübler, A.;  Department of Psychology I, University of Würzburg, Germany
Language :
English
Title :
Mental imagery for brain-computer interface control and communication in non-responsive individuals
Publication date :
2020
Journal title :
Annals of Physical and Rehabilitation Medicine
ISSN :
1877-0657
eISSN :
1877-0665
Publisher :
Elsevier Masson SAS
Volume :
63
Issue :
1
Pages :
21-27
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 247919 - DECODER - Deployment of Brain-Computer Interfaces for the Detection of Consciousness in Non-Responsive Patients
Funders :
ALIS - Association du Locked-In Syndrome [FR]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
UE - Union Européenne [BE]
FEDER - Fonds Européen de Développement Régional [BE]
Fonds Léon Fredericq [BE]
JSMF - James S McDonnell Foundation [US-MO] [US-MO]
MSF - Mind Science Foundation [US-TX] [US-TX]
CE - Commission Européenne [BE]
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