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Cited by 345

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EEG correlates of time-varying BOLD functional connectivity

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Chang, Catie, Liu, Zhongming, Chen, Michael C., Liu, Xiao, Duyn, Jeff H.·2013·NeuroImage
DOI 10.1016/j.neuroimage.2013.01.049
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Abstract

Recent resting-state fMRI studies have shown that the apparent functional connectivity (FC) between brain regions may undergo changes on time-scales of seconds to minutes, the basis and importance of which are largely unknown. Here, we examine the electrophysiological correlates of within-scan FC variations during a condition of eyes-closed rest. A sliding window analysis of simultaneous EEG-fMRI data was performed to examine whether temporal variations in coupling between three major networks (default mode; DMN, dorsal attention; DAN, and salience network; SN) are associated with temporal variations in mental state, as assessed from the amplitude of alpha and theta oscillations in the EEG. In our dataset, alpha power showed a significant inverse relationship with the strength of connectivity between DMN and DAN. In addition, alpha power covaried with the spatial extent of anticorrelation between DMN and DAN, with higher alpha power associated with larger anticorrelation extent. Results suggest an electrical signature of the time-varying FC between the DAN and DMN, potentially reflecting neural and state-dependent variations.

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Cited by

Metadata

Authors
Chang, C., Liu, Z., Chen, M. C., Liu, X., & Duyn, J. H.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-05
Volume
72
Pages
227-236
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2013.01.049
OpenAlex
W2114303782
Cited by
345
References
19
FWCI
14.98
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
Intramural Research Program of the National Institute of Neurological Disorders and Stroke, National Institutes of Health

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