Počet záznamů: 1
Infraslow Electroencephalographic and Dynamic Resting State Network Activity
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SYSNO ASEP 0545853 Druh ASEP J - Článek v odborném periodiku Zařazení RIV Záznam nebyl označen do RIV Poddruh J Článek ve WOS Název Infraslow Electroencephalographic and Dynamic Resting State Network Activity Tvůrce(i) Grooms, J.K. (US)
Thompson, G. J. (US)
Pan, W.J. (US)
Billings, Jacob (UIVT-O) SAI, ORCID, RID
Schumacher, E.H. (US)
Epstein, C.M. (US)
Keilholz, S. (US)Celkový počet autorů 7 Zdroj.dok. Brain Connectivity - ISSN 2158-0014
Roč. 7, č. 5 (2017), s. 265-280Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova dc-eeg ; functional connectivity ; infraslow ; resting state MRI ; sliding window correlation UT WOS 000570291900001 EID SCOPUS 85020749124 DOI 10.1089/brain.2017.0492 Anotace A number of studies have linked the blood oxygenation level dependent (BOLD) signal to electroencephalographic (EEG) signals in traditional frequency bands (delta, theta, alpha, beta, and gamma), but the relationship between BOLD and its direct frequency correlates in the infraslow band (<1Hz) has been little studied. Previously, work in rodents showed that infraslow local field potentials play a role in functional connectivity, particularly in the dynamic organization of large-scale networks. To examine the relationship between infraslow activity and network dynamics in humans, direct current (DC) EEG and resting state magnetic resonance imaging data were acquired simultaneously. The DC EEG signals were correlated with the BOLD signal in patterns that resembled resting state networks. Subsequent dynamic analysis showed that the correlation between DC EEG and the BOLD signal varied substantially over time, even within individual subjects. The variation in DC EEG appears to reflect the time-varying contribution of different resting state networks. Furthermore, some of the patterns of DC EEG and BOLD correlation are consistent with previous work demonstrating quasiperiodic spatiotemporal patterns of large-scale network activity in resting state. These findings demonstrate that infraslow electrical activity is linked to BOLD fluctuations in humans and that it may provide a basis for large-scale organization comparable to that observed in animal studies. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2022
Počet záznamů: 1