Abstract #0758
Relating resting-state fMRI and EEG brain connectivity across frequency bands
Fani Deligianni 1 , Maria Centeno 1 , David W. Carmichael 1 , and Jonathan D. Clayden 1
1
Institute of Child Health, UCL, London,
United Kingdom
It has been shown that the resting-state (rs) networks
observed with fMRI reflect electrophysiological
activity. However, questions remain regarding which EEG
features most closely reflect rs-fMRI networks. We
relate the covariance structure of the envelope of the
source localised electrophysiological signal to the
covariance derived from rs-fMRI. We use statistical
inference to predict EEG brain connectivity from fMRI
connectivity and vice-versa. Our results support that
the β band EEG activity best reflects spontaneous
cognitive operations during conscious rest. Furthermore,
fMRI connectivity can be predicted from EEG in any band
indicating that there are signatures of rs-fMRI dynamics
across EEG frequencies.
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