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| Research article summary (published 30 Dec 2001): |
Single-trial classification of elementary comparison processes on the basis of instantaneous EEG and MEG coherences.
Full Abstract
The present study is focused on the evidence of possible single-trial EEG/MEG analysis of information processing. The discrimination between thinking modalities of concept activation and pattern comparison for single tasks of elementary comparison procedures is investigated. A neural network classifier with backpropagation learning algorithm is used. The input vector is constructed by parameters of instantaneous coherence (13-20 Hz) between several channel pairs of the EEG and/or of the MEG. Thereby, the strength of synchronization and the time location of synchronization phenomena are taken into consideration. The combination of EEG and MEG coherence parameters led to a classification accuracy of 85-94% for single subjects. Generally, results reached by neural network classifier show a better generalization than linear discriminant analysis.
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Author information
Author/s: Steuer, Dunja (D); Grieszbach, Gert (G); Krause, Werner (W); Schack, Bärbel (B);
Affiliation: Department of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Germany. Dunja.Steuer(-atsign-)tu-ilmenau.de
Journal and publication information
Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
Journal: Brain topography (Brain Topogr), published in United States. (Language: eng)
Reference: 2002-; vol 15 (issue 2) : pp 125-37
Dates: Created 2003/01/22; Completed 2003/05/19; Revised 2006/11/15;
PMID: 12537308, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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