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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F12%3APU98311%21RIV13-GA0-26220___
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6208307&tag=1
dcterms:description
Neurologists are looking for connections between simultaneous EEG and fMRI data, trying to take advantages of both methods. EEG gives them a very good time resolution of the neuronal activity, while a great spatial resolution is provided by the MRI scanner, when the BOLD signal is measured. The analysis of fMRI images is mostly evaluated by the computer program Statistical Parametric Mapping (SPM). The EEG regressor builder is a software which was created in this study. It loads, processes and joins together parameters of simultaneous EEG and fMRI data into the analysis of the SPM. It is intended to help neurologists to preprocess EEG signals or it can make the whole analysis automatically. The second part of the study compares results from published analyses with the results calculated by the EEG regressor builder. The processed data was measured in St. Anne's University Hospital, Brno at First Department of Neurology. Neurologists are looking for connections between simultaneous EEG and fMRI data, trying to take advantages of both methods. EEG gives them a very good time resolution of the neuronal activity, while a great spatial resolution is provided by the MRI scanner, when the BOLD signal is measured. The analysis of fMRI images is mostly evaluated by the computer program Statistical Parametric Mapping (SPM). The EEG regressor builder is a software which was created in this study. It loads, processes and joins together parameters of simultaneous EEG and fMRI data into the analysis of the SPM. It is intended to help neurologists to preprocess EEG signals or it can make the whole analysis automatically. The second part of the study compares results from published analyses with the results calculated by the EEG regressor builder. The processed data was measured in St. Anne's University Hospital, Brno at First Department of Neurology.
dcterms:title
Analysis of connections between simultaneous EEG and fMRI data Analysis of connections between simultaneous EEG and fMRI data
skos:prefLabel
Analysis of connections between simultaneous EEG and fMRI data Analysis of connections between simultaneous EEG and fMRI data
skos:notation
RIV/00216305:26220/12:PU98311!RIV13-GA0-26220___
n9:predkladatel
n10:orjk%3A26220
n3:aktivita
n4:P
n3:aktivity
P(GAP304/11/1318)
n3:dodaniDat
n6:2013
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n3:druhVysledku
n23:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
122093
n3:idVysledku
RIV/00216305:26220/12:PU98311
n3:jazykVysledku
n20:eng
n3:klicovaSlova
EEG signal, fMRI imaging, general linear model, regressor, signal processing, statistical parametric mapping
n3:klicoveSlovo
n8:regressor n8:EEG%20signal n8:general%20linear%20model n8:statistical%20parametric%20mapping n8:signal%20processing n8:fMRI%20imaging
n3:kontrolniKodProRIV
[6C04E5A6C0D0]
n3:mistoKonaniAkce
Vienna
n3:mistoVydani
Vienna, Austria
n3:nazevZdroje
Proceedings of 19th International Conference on Systems, Signals and Image Processing (IEEE - IWSSIP 2012)
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:projekt
n15:GAP304%2F11%2F1318
n3:rokUplatneniVysledku
n6:2012
n3:tvurceVysledku
Lamoš, Martin Jan, Jiří Labounek, René Mareček, Radek
n3:typAkce
n16:WRD
n3:zahajeniAkce
2012-04-11+02:00
s:numberOfPages
4
n13:hasPublisher
Neuveden
n19:isbn
978-3-200-02588-2
n18:organizacniJednotka
26220