Article (Scientific journals)
The auditory P300-based single-switch brain–computer interface:Paradigm transition from healthy subjects to minimally consciouspatients
Pokorny, Christoph; Klobassa, Daniela; Pichler, Gerald et al.
2013In Artificial Intelligence in Medicine, 59 (2), p. 81-90
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Keywords :
Auditory P300; Brain–computer interface; Minimally conscious state; Clinical assessment; Tone stream segregation
Abstract :
[en] Objective: Within this work an auditory P300 brain–computer interface based on tone stream segregation,which allows for binary decisions, was developed and evaluated.Methods and materials: Two tone streams consisting of short beep tones with infrequently appearingdeviant tones at random positions were used as stimuli. This paradigm was evaluated in 10 healthysubjects and applied to 12 patients in a minimally conscious state (MCS) at clinics in Graz, Würzburg,Rome, and Liège. A stepwise linear discriminant analysis classifier with 10 × 10 cross-validation was usedto detect the presence of any P300 and to investigate attentional modulation of the P300 amplitude.Results: The results for healthy subjects were promising and most classification results were better thanrandom. In 8 of the 10 subjects, focused attention on at least one of the tone streams could be detectedon a single-trial basis. By averaging 10 data segments, classification accuracies up to 90.6 % could bereached. However, for MCS patients only a small number of classification results were above chance leveland none of the results were sufficient for communication purposes. Nevertheless, signs of consciousnesswere detected in 9 of the 12 patients, not on a single-trial basis, but after averaging of all correspondingdata segments and computing significant differences. These significant results, however, strongly variedacross sessions and conditions.Conclusion: This work shows the transition of a paradigm from healthy subjects to MCS patients. Promisingresults with healthy subjects are, however, no guarantee of good results with patients. Therefore, moreinvestigations are required before any definite conclusions about the usability of this paradigm for MCSpatients can be drawn. Nevertheless, this paradigm might offer an opportunity to support bedside clinicalassessment of MCS patients and eventually, to provide them with a means of communication.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Pokorny, Christoph
Klobassa, Daniela
Pichler, Gerald
Erlbeck, Helena
Real, Ruben
Kübler, Andrea
Lesenfants, Damien ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Habbal, Dina ;  Université de Liège - ULiège > Form. doc. sc. méd.
Noirhomme, Quentin ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Risetti, Monica
Mattia, Donatella
Müller-Putz, Gernot
Language :
English
Title :
The auditory P300-based single-switch brain–computer interface:Paradigm transition from healthy subjects to minimally consciouspatients
Publication date :
October 2013
Journal title :
Artificial Intelligence in Medicine
ISSN :
0933-3657
eISSN :
1873-2860
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
59
Issue :
2
Pages :
81-90
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 :
CE - Commission Européenne [BE]
Available on ORBi :
since 23 December 2013

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