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Abstract #3942

fMRI dynamic functional connectivity states associated with EEG alpha power

Afonso Aires1, Rodolfo Abreu1,2, João Jorge3,4, Joana Cabral5, and Patrícia Figueiredo1
1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisboa, Portugal, 2Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, Coimbra, Portugal, 3Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Systems Division, Swiss Center for Electronics and Microtechnology (CSEM), Neuchâtel, Switzerland, 5Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Minho, Portugal

Functional connectivity has been shown to change over short time scales of seconds to minutes, giving rise to the so-called dynamic functional connectivity (dFC). However, the electrophysiological underpinnings of dFC states remain unclear. We investigate EEG spectral correlates of dFC states using simultaneous EEG-fMRI data, by using a high temporal resolution fMRI acquisition combined with a phase coherence approach for dFC estimation and by computing k-means clustering with a varying number of dFC states. We found an association between high alpha power topographies and specific dFC states, which included regions of the frontoparietal network and the default mode network.

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