Exploring task-related variability in fMRI data using fluctuations in power spectrum of simultaneously acquired EEG

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F15%3A00080754" target="_blank" >RIV/00216224:14740/15:00080754 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/15:PU113354
Result on the web
<a href="http://ac.els-cdn.com/S0165027015000680/1-s2.0-S0165027015000680-main.pdf?_tid=76e7f970-e4e9-11e4-9b06-00000aacb35d&acdnat=1429265390_adfde5114725ad4989c367531769990a" target="_blank" >http://ac.els-cdn.com/S0165027015000680/1-s2.0-S0165027015000680-main.pdf?_tid=76e7f970-e4e9-11e4-9b06-00000aacb35d&acdnat=1429265390_adfde5114725ad4989c367531769990a</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jneumeth.2015.02.016" target="_blank" >10.1016/j.jneumeth.2015.02.016</a>

Result language
angličtina
Original language name
Exploring task-related variability in fMRI data using fluctuations in power spectrum of simultaneously acquired EEG
Original language description
Background: The paper deals with joint analysis of fMRI and scalp EEG data, simultaneously acquired during event-related oddball experiment. The analysis is based on deriving temporal sequences of EEG powers in individual frequency bands for the selectedEEG electrodes and using them as regressors in the general linear model (GLM). New method: Given the infrequent use of EEG spectral changes to explore task-related variability, we focused on the aspects of parameter setting during EEG regressor calculation and searched for such parameters that can detect task-related variability in EEG-fMRI data. We proposed a novel method that uses relative EEG power in GLM. Results: Parameter, the type of power value, has a direct impact as to whether task-related variability is detected or not. For relative power, the final results are sensitive to the choice of frequency band of interest. The electrode selection also has certain impact; however, the impact is not crucial.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Project
<a href="/en/project/GAP304%2F11%2F1318" target="_blank" >GAP304/11/1318: The Optimization of methodics of analysis and evaluation of the simultaneous EEG-fMRI in patient with pharmacoresistant epilepsy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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