About: Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery (en)
skos:prefLabel	Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery (en)
skos:notation	RIV/67985807:_____/12:00376794!RIV13-GA0-67985807
http://linked.open...avai/predkladatel	Ústav informatiky AV ČR, v.v.i.
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(GAP202/10/0262), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Húsek, Dušan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	170072
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/12:00376794
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	brain-computer interface; independent component analysis; pattern classification; motor imagery; inverse problem; fMRI; EEG (en)
http://linked.open.../riv/klicoveSlovo	independent component analysis brain-computer interface EEG motor imagery fMRI pattern classification inverse problem
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[9DFE4ACB6959]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	IT4Innovations Centre of Excellence Decompositions of matrices with binary and ordinal data: theory, algorithms, and complexity
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	22
http://linked.open...iv/tvurceVysledku	Bobrov, P. Frolov, A. Húsek, Dušan Korshakov, A. V. Chernikova, L. Konovalov, R. Mokienko, O.
http://linked.open...ain/vavai/riv/wos	000302202700003
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
issn	1210-0552
number of pages	17 (xsd:int)
is http://linked.open...avai/riv/vysledek of	Sources of EEG activity most relevant to performance of brain-computer interface based on motor imagery

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