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LABOUNEK, R. LAMOŠ, M. MAREČEK, R. JAN, J.
Originální název
Analysis of connections between simultaneous EEG and fMRI data
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
EEG signal, fMRI imaging, general linear model, regressor, signal processing, statistical parametric mapping
Autoři
LABOUNEK, R.; LAMOŠ, M.; MAREČEK, R.; JAN, J.
Rok RIV
2012
Vydáno
11. 4. 2012
Místo
Vienna, Austria
ISBN
978-3-200-02588-2
Kniha
Proceedings of 19th International Conference on Systems, Signals and Image Processing (IEEE - IWSSIP 2012)
Strany od
594
Strany do
597
Strany počet
4
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6208307&tag=1
BibTex
@inproceedings{BUT91681, author="René {Labounek} and Martin {Lamoš} and Radek {Mareček} and Jiří {Jan}", title="Analysis of connections between simultaneous EEG and fMRI data", booktitle="Proceedings of 19th International Conference on Systems, Signals and Image Processing (IEEE - IWSSIP 2012)", year="2012", pages="594--597", address="Vienna, Austria", isbn="978-3-200-02588-2", url="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6208307&tag=1" }