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

Authors: Jaroslav Hlinka, C. Alexakis, A. Diukova, P.F. Liddle, D.P. Auer
Publication year: 2010
Publication type: Článek v odborném periodiku
Periodical: Neuroimage
Bibliographic citation: HLINKA, Jaroslav, ALEXAKIS, C., DIUKOVA, A., LIDDLE, P.F., AUER, D.P. Slow EEG Pattern Predicts Reduced Intrinsic Functional Connectivity in the Default Mode Network: An Inter-Subject Analysis. Neuroimage. 2010, 53(1), 239-246. ISSN 1053-8119. E-ISSN 1095-9572
Dostupné z: doi:10.1016/j.neuroimage.2010.06.002
DOI: 10.1016/j.neuroimage.2010.06.002
ID: 345971

Abstract

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.