TY - JOUR
T1 - EEG correlates of time-varying BOLD functional connectivity
AU - Chang, Catie
AU - Liu, Zhongming
AU - Chen, Michael C.
AU - Liu, Xiao
AU - Duyn, Jeff H.
N1 - Funding Information:
This research was supported by the Intramural Research Program of the National Institute of Neurological Disorders and Stroke, National Institutes of Health . We thank Gary Glover and Qingei Luo for assistance with the Stanford data acquisition, and are grateful to Gang Chen and Ziad Saad for helpful discussion and advice regarding statistics.
PY - 2013/5/5
Y1 - 2013/5/5
N2 - 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.
AB - 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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U2 - 10.1016/j.neuroimage.2013.01.049
DO - 10.1016/j.neuroimage.2013.01.049
M3 - Article
C2 - 23376790
AN - SCOPUS:84874541551
SN - 1053-8119
VL - 72
SP - 227
EP - 236
JO - NeuroImage
JF - NeuroImage
ER -