Title of article :
The auditory P300-based single-switch brain–computer interface: Paradigm transition from healthy subjects to minimally conscious patients
Author/Authors :
Pokorny، نويسنده , , Christoph and Klobassa، نويسنده , , Daniela S. and Pichler، نويسنده , , Gerald and Erlbeck، نويسنده , , Helena and Real، نويسنده , , Ruben G.L. and Kübler، نويسنده , , Andrea and Lesenfants، نويسنده , , Damien and Habbal، نويسنده , , Dina and Noirhomme، نويسنده , , Quentin and Risetti، نويسنده , , Monica and Mattia، نويسنده , , Donatella and Müller-Putz، نويسنده , , Gernot R. Müller-Putz، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
10
From page :
81
To page :
90
Abstract :
AbstractObjective this work an auditory P300 brain–computer interface based on tone stream segregation, which allows for binary decisions, was developed and evaluated. s and materials ne streams consisting of short beep tones with infrequently appearing deviant tones at random positions were used as stimuli. This paradigm was evaluated in 10 healthy subjects 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 used to detect the presence of any P300 and to investigate attentional modulation of the P300 amplitude. s sults for healthy subjects were promising and most classification results were better than random. In 8 of the 10 subjects, focused attention on at least one of the tone streams could be detected on a single-trial basis. By averaging 10 data segments, classification accuracies up to 90.6 % could be reached. However, for MCS patients only a small number of classification results were above chance level and none of the results were sufficient for communication purposes. Nevertheless, signs of consciousness were detected in 9 of the 12 patients, not on a single-trial basis, but after averaging of all corresponding data segments and computing significant differences. These significant results, however, strongly varied across sessions and conditions. sion ork shows the transition of a paradigm from healthy subjects to MCS patients. Promising results with healthy subjects are, however, no guarantee of good results with patients. Therefore, more investigations are required before any definite conclusions about the usability of this paradigm for MCS patients can be drawn. Nevertheless, this paradigm might offer an opportunity to support bedside clinical assessment of MCS patients and eventually, to provide them with a means of communication.
Keywords :
Tone stream segregation , Brain–computer interface , clinical assessment , Minimally conscious state , Auditory P300
Journal title :
Artificial Intelligence In Medicine
Serial Year :
2013
Journal title :
Artificial Intelligence In Medicine
Record number :
1837297
Link To Document :
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