Electrophysiological Correlation Patterns of Resti

Authors: Matthias C Meyer Erik S B van Oort Markus Barth

Publish Date: 2012/06/30

Volume: 26, Issue: 1, Pages: 98-109

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Abstract

With combined EEG–fMRI a powerful combination of methods was developed in the last decade that seems promising for answering fundamental neuroscientific questions by measuring functional processes of the human brain simultaneously with two complementary modalities Recently resting state networks RSNs representing brain regions of coherent BOLD fluctuations raised major interest in the neuroscience community Since RSNs are reliably found across subjects and reflect task related networks changes in their characteristics might give insight to neuronal changes or damage promising a broad range of scientific and clinical applications The question of how RSNs are linked to electrophysiological signal characteristics becomes relevant in this context In this combined EEG–fMRI study we investigated the relationship of RSNs and their correlated electrophysiological signals electrophysiological correlation patterns ECPs using a long 34 min resting state scan per subject This allowed us to study ECPs on group as well as on single subject level and to examine the temporal stability of ECPs within each subject We found that the correlation patterns obtained on group level show a large intersubject variability During the long scan the ECPs within a subject show temporal fluctuations which we interpret as a result of the complex temporal dynamic of the RSNs

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