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

Frontiers in Human Neuroscience

卷:7

Markus eBarth¹  Christian F. Beckmann²  Erik Sophius Bartus van Oort²  Matthias Christoph Meyer³  Ronald Johannes Janssen³ 

[1] Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen;

[2] MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente;

[3] Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour;

关键词: resting state;    ICA;    source modeling;    RSN;    ECP;    IHM;   

DOI  :  10.3389/fnhum.2013.00315

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown