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@inproceedings{1334177,
author = {Labounek, René and Janecek, David and Mareček, Radek and Lamoš, Martin and Slavíček, Tomáš and Mikl, Michal and Bastinec, Jaromir and Bednařík, Petr and Bridwell, David and Brázdil, Milan and Jan, Jiri},
address = {NEW YORK},
booktitle = {2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)},
doi = {http://dx.doi.org/10.1109/ISBI.2016.7493379},
keywords = {Simultaneous EEG-fMRI; heuristic model; GLM; ICA},
howpublished = {elektronická verze "online"},
language = {eng},
location = {NEW YORK},
isbn = {978-1-4799-2349-6},
pages = {767-770},
publisher = {IEEE},
title = {GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS},
url = {http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek},
year = {2016}
}
TY - JOUR
ID - 1334177
AU - Labounek, René - Janecek, David - Mareček, Radek - Lamoš, Martin - Slavíček, Tomáš - Mikl, Michal - Bastinec, Jaromir - Bednařík, Petr - Bridwell, David - Brázdil, Milan - Jan, Jiri
PY - 2016
TI - GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS
PB - IEEE
CY - NEW YORK
SN - 9781479923496
KW - Simultaneous EEG-fMRI
KW - heuristic model
KW - GLM
KW - ICA
UR - http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek
L2 - http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek
N2 - The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.
ER -
LABOUNEK, René, David JANECEK, Radek MAREČEK, Martin LAMOŠ, Tomáš SLAVÍČEK, Michal MIKL, Jaromir BASTINEC, Petr BEDNAŘÍK, David BRIDWELL, Milan BRÁZDIL and Jiri JAN. GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS (Generalized EEG-FMRI Spectral and Spatiospectral Heuristic Models). Online. In \textit{2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)}. NEW YORK: IEEE, 2016, p.~767-770. ISBN~978-1-4799-2349-6. Available from: https://dx.doi.org/10.1109/ISBI.2016.7493379.
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