Fluctuations of the EEG-fMRI correlation reflect intrinsic strength of functional connectivity in default mode network

Journal of Neuroscience Research
Tuija KeinänenVesa Kiviniemi

Abstract

Both functional magnetic resonance imaging (fMRI) and electrophysiological recordings have revealed that resting-state functional connectivity is temporally variable in human brain. Combined full-band electroencephalography-fMRI (fbEEG-fMRI) studies have shown that infraslow (<.1 Hz) fluctuations in EEG scalp potential are correlated with the blood-oxygen-level-dependent (BOLD) fMRI signals and that also this correlation appears variable over time. Here, we used simultaneous fbEEG-fMRI to test the hypothesis that correlation dynamics between BOLD and fbEEG signals could be explained by fluctuations in the activation properties of resting-state networks (RSNs) such as the extent or strength of their activation. We used ultrafast magnetic resonance encephalography (MREG) fMRI to enable temporally accurate and statistically robust short-time-window comparisons of infra-slow fbEEG and BOLD signals. We found that the temporal fluctuations in the fbEEG-BOLD correlation were dependent on RSN connectivity strength, but not on the mean signal level or magnitude of RSN activation or motion during scanning. Moreover, the EEG-fMRI correlations were strongest when the intrinsic RSN connectivity was strong and close to the pial surface. Conv...Continue Reading

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Citations

Feb 12, 2020·Network Neuroscience·Sepideh Sadaghiani, Jonathan Wirsich
Aug 29, 2019·Frontiers in Neurology·Giulia MeleMarco Aiello
Oct 21, 2020·Magma·Juergen HennigPierre LeVan
Apr 15, 2020·NeuroImage·Ignacio Perez IpiñaEnzo Tagliazucchi

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