Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00345971" target="_blank" >RIV/67985807:_____/10:00345971 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis

Popis výsledku v původním jazyce

The study of spontaneous brain activity is gaining on importance in neuroscience. Resting state networks (RSN) are defined by synchronisation of blood oxygenation level dependent (BOLD) signal. Simultaneous EEG/fMRI has been previously used to study theneurophysiological signature of RSN by comparing EEG power with BOLD amplitude. We hypothesised that band-limited EEG power may be directly related to network specific functional connectivity (FC) of BOLD signal time courses, focusing on the default modenetwork (DMN). Analysing combined EEG/fMRI resting state data of 20 subjects, we showed network and frequency specific relation between RSN FC and EEG band-powers explaining 70% of DMN-FC variance, with partial correlations of DMN-FC to delta and beta power. The identified EEG pattern has been previously associated with increased alertness. The study opens a new perspective to EEG/fMRI correlation. Direct evidence was provided for a distinct neurophysiological correlate of DMN-FC.

Název v anglickém jazyce

Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis

Popis výsledku anglicky

The study of spontaneous brain activity is gaining on importance in neuroscience. Resting state networks (RSN) are defined by synchronisation of blood oxygenation level dependent (BOLD) signal. Simultaneous EEG/fMRI has been previously used to study theneurophysiological signature of RSN by comparing EEG power with BOLD amplitude. We hypothesised that band-limited EEG power may be directly related to network specific functional connectivity (FC) of BOLD signal time courses, focusing on the default modenetwork (DMN). Analysing combined EEG/fMRI resting state data of 20 subjects, we showed network and frequency specific relation between RSN FC and EEG band-powers explaining 70% of DMN-FC variance, with partial correlations of DMN-FC to delta and beta power. The identified EEG pattern has been previously associated with increased alertness. The study opens a new perspective to EEG/fMRI correlation. Direct evidence was provided for a distinct neurophysiological correlate of DMN-FC.

Druh

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

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Neuroimage

ISSN

1053-8119

e-ISSN

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Svazek periodika

53

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

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Kód UT WoS článku

000280818900026

EID výsledku v databázi Scopus

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