Electrophysiological correlation patterns of resting state networks in single subjects: A combined EEG-fMRI study

Meyer M.C., Van Oort E.S.B. and Barth M. (2013) Electrophysiological correlation patterns of resting state networks in single subjects: A combined EEG-fMRI study. Brain Topography, 26 1: 98-109. doi:10.1007/s10548-012-0235-0


Author Meyer M.C.
Van Oort E.S.B.
Barth M.
Title Electrophysiological correlation patterns of resting state networks in single subjects: A combined EEG-fMRI study
Journal name Brain Topography   Check publisher's open access policy
ISSN 0896-0267
1573-6792
Publication date 2013-01
Year available 2012
Sub-type Article (original research)
DOI 10.1007/s10548-012-0235-0
Open Access Status DOI
Volume 26
Issue 1
Start page 98
End page 109
Total pages 12
Place of publication New York, United States
Publisher Springer New York LLC
Collection year 2014
Language eng
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 inter-subject 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.
Keyword Combined EEG-fMRI
Dual regression
ECP
ICA
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Centre for Advanced Imaging Publications
 
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