Topographic electrophysiological signatures of FMRI Resting State Networks

Jann, Kay; Kottlow, Mara; Dierks, Thomas; Boesch, Chris; Koenig, Thomas (2010). Topographic electrophysiological signatures of FMRI Resting State Networks. PLoS ONE, 5(9), e12945. Lawrence, Kans.: Public Library of Science 10.1371/journal.pone.0012945

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Background: fMRI Resting State Networks (RSNs) have gained importance in the present fMRI literature. Although their functional role is unquestioned and their physiological origin is nowadays widely accepted, little is known about their relationship to neuronal activity. The combined recording of EEG and fMRI allows the temporal correlation between fluctuations of the RSNs and the dynamics of EEG spectral amplitudes. So far, only relationships between several EEG frequency bands and some RSNs could be demonstrated, but no study accounted for the spatial distribution of frequency domain EEG.

Methodology/Principal Findings: In the present study we report on the topographic association of EEG spectral fluctuations and RSN dynamics using EEG covariance mapping. All RSNs displayed significant covariance maps across a broad EEG frequency range. Cluster analysis of the found covariance maps revealed the common standard EEG frequency bands. We found significant differences between covariance maps of the different RSNs and these differences depended on the frequency band.

Conclusions/Significance: Our data supports the physiological and neuronal origin of the RSNs and substantiates the assumption that the standard EEG frequency bands and their topographies can be seen as electrophysiological signatures of underlying distributed neuronal networks.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > University Psychiatric Services > University Hospital of Psychiatry and Psychotherapy > Psychiatric Neurophysiology [discontinued]
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology > DCR Magnetic Resonance Spectroscopy and Methodology (AMSM)

UniBE Contributor:

Jann, Kay, Kottlow, Mara, Dierks, Thomas, Boesch, Christoph Hans, König, Thomas




Public Library of Science




Factscience Import

Date Deposited:

04 Oct 2013 14:08

Last Modified:

02 Mar 2023 23:20

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URI: (FactScience: 198784)

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