We propose the use of BOLD dynamic functional connectivity (dFC) analyses to provide further insights into the dynamics of epileptic networks, in simultaneous EEG-fMRI studies. We performed brain parcellation using the AAL atlas and estimated dFC across brain regions using sliding-window correlation. We then tested different approaches for the extraction of functional networks related with the EEG epileptic activity. We found that PCA is a suitable tool to disentangle functional connectivity changes of different origins, and that epilepsy-related networks may be accurately identified based on the correlation of their weights time-courses with metrics of EEG epileptic activity in four patients.
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