About: Does EEG help to identify the epilepsy-related spatial independent component of fMRI data?

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	https://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&abs=3095
Description	Independent component analysis (ICA) has advantage of being a completely data-driven approach. However, no idea on the importance of a particular independent component (IC) is available without some prior knowledge about processes that we are looking for [Hyvärinen and Oja, 2000]. A step preceding ICA is data reduction by principal component analysis (PCA). Effects of interest (here the interictal epileptic activity) may be minor compared to other processes in the brain and thus we can remove them accidentally. However, in our retrospective study [Slavíček et al., submitted for publication] we showed that ICA with proper settings applied to fMRI data is capable of finding ICs corresponding to epileptic activity. This contribution aims at the next step – identification of features, which would enable discovering epilepsy related fMRI ICs prospectively. Independent component analysis (ICA) has advantage of being a completely data-driven approach. However, no idea on the importance of a particular independent component (IC) is available without some prior knowledge about processes that we are looking for [Hyvärinen and Oja, 2000]. A step preceding ICA is data reduction by principal component analysis (PCA). Effects of interest (here the interictal epileptic activity) may be minor compared to other processes in the brain and thus we can remove them accidentally. However, in our retrospective study [Slavíček et al., submitted for publication] we showed that ICA with proper settings applied to fMRI data is capable of finding ICs corresponding to epileptic activity. This contribution aims at the next step – identification of features, which would enable discovering epilepsy related fMRI ICs prospectively. (en)
Title	Does EEG help to identify the epilepsy-related spatial independent component of fMRI data? Does EEG help to identify the epilepsy-related spatial independent component of fMRI data? (en)
skos:prefLabel	Does EEG help to identify the epilepsy-related spatial independent component of fMRI data? Does EEG help to identify the epilepsy-related spatial independent component of fMRI data? (en)
skos:notation	RIV/00216305:26220/14:PU110155!RIV15-GA0-26220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/12/0552), P(GAP304/11/1318)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Havlíček, Martin Jan, Jiří Lamoš, Martin Slavíček, Tomáš
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	12090
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU110155
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fMRI, EEG, epilepsy, ICA (en)
http://linked.open.../riv/klicoveSlovo	EEG ICA epilepsy fMRI
http://linked.open...ontrolniKodProRIV	[AB6E34623196]
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Comparison and inference of methods for evaluation of functional and effective connectivity in fMRI The Optimization of methodics of analysis and evaluation of the simultaneous EEG-fMRI in patient with pharmacoresistant epilepsy
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Jan, Jiří Slavíček, Tomáš Lamoš, Martin Havlíček, Martin Mareček, Radek
http://localhost/t...ganizacniJednotka	26220

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