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Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery
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SYSNO ASEP 0376794 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery Author(s) Frolov, A. (RU)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Bobrov, P. (RU)
Korshakov, A.V. (RU)
Chernikova, L. (RU)
Konovalov, R. (RU)
Mokienko, O. (RU)Source Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 22, č. 1 (2012), s. 21-37Number of pages 17 s. Language eng - English Country CZ - Czech Republic Keywords brain-computer interface ; independent component analysis ; pattern classification ; motor imagery ; inverse problem ; fMRI ; EEG Subject RIV IN - Informatics, Computer Science R&D Projects GAP202/10/0262 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000302202700003 EID SCOPUS 84859125698 DOI 10.14311/NNW.2012.22.002 Annotation The paper examines sources of brain activity, contributing to EEG patterns which correspond to motor imagery during training to control brain-computer interface. To identify individual source contribution into electroencephalogram recorded during the training Independent Component Analysis was used. Then those independent components for which the BCI system classification accuracy was at maximum were treated as relevant to performing the motor imagery tasks, since they demonstrated well exposed event related de-synchronization and event related synchronization of the sensorimotor mi-rhythm during imagining of contra- and ipsilateral hand movements. To reveal neurophysiological nature of these components we have solved the inverse EEG problem to locate the sources of brain activity causing these components to appear in EEG. The sources were located in hand representation areas of the primary sensorimotor cortex. Their positions practically coincide with the regions of brain activity during the motor imagination obtained in fMRI study. Individual geometry of brain and its covers provided by anatomical MR images was taken into account when localizing the sources. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2013
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