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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216305:26220/15:PU113354

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP304%2F11%2F1318" target="_blank" >GAP304/11/1318: Optimalizace metodiky analýzy a hodnocení simultánního EEG-fMRI u pacientů s farmakorezistentní epilepsií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Neuroscience Methods

ISSN

0165-0270

e-ISSN

—

Svazek periodika

245

Číslo periodika v rámci svazku

April

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

125-136

Kód UT WoS článku

000353599100012

EID výsledku v databázi Scopus

—