The quest for EEG power band correlation with ICA derived fMRI resting state networks

Meyer M.C., Janssen R.J., van Oort E.S.B., Beckmann C.F. and Barth M. (2013) The quest for EEG power band correlation with ICA derived fMRI resting state networks. Frontiers in Human Neuroscience, 7 JUN: 315.1-315.9. doi:10.3389/fnhum.2013.00315

Author Meyer M.C.
Janssen R.J.
van Oort E.S.B.
Beckmann C.F.
Barth M.
Title The quest for EEG power band correlation with ICA derived fMRI resting state networks
Journal name Frontiers in Human Neuroscience   Check publisher's open access policy
ISSN 1662-5161
Publication date 2013-06-01
Year available 2013
Sub-type Article (original research)
DOI 10.3389/fnhum.2013.00315
Open Access Status DOI
Volume 7
Issue JUN
Start page 315.1
End page 315.9
Total pages 9
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Language eng
Abstract The neuronal underpinnings of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) resting state networks (RSNs) are still unclear. To investigate the underlying mechanisms, specifically the relation to the electrophysiological signal, we used simultaneous recordings of electroencephalography (EEG) and fMRI during eyes open resting state (RS). Earlier studies using the EEG signal as independent variable show inconclusive results possibly due to variability in the temporal correlations between RSNs and power in the low EEG frequency band, as recently reported (Goncalves et al. 2006 and 2008, Meyer et al. (2013)). In this study we use three different methods, including one that uses RSN timelines as independent variable, to explore the temporal relationship of RSNs and EEG frequency power in eyes open RS in detail. The results of these three distinct analysis approaches support the hypothesis that the correlation between low EEG frequency power and BOLD RSNs is instable over time, at least in eyes open RS.
Keyword Combined EEG-fMRI
Q-Index Code C1
Q-Index Status Confirmed 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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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
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