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Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis
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SYSNO ASEP 0345971 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis Tvůrce(i) Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCID
Alexakis, C. (GB)
Diukova, A. (GB)
Liddle, P.F. (GB)
Auer, D.P. (GB)Zdroj.dok. Neuroimage. - : Elsevier - ISSN 1053-8119
Roč. 53, č. 1 (2010), s. 239-246Poč.str. 8 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova fMRI ; electroencephalography (EEG) ; BOLD ; resting state ; low-frequency fluctuations ; functional connectivity ; default mode Vědní obor RIV FH - Neurologie, neurochirurgie, neurovědy CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000280818900026 EID SCOPUS 77955304578 DOI 10.1016/j.neuroimage.2010.06.002 Anotace 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 the neurophysiological 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 mode network (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. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2011
Počet záznamů: 1