Journal article

Low-Dimensional Dynamics of Resting-State Cortical Activity

Saeid Mehrkanoon, Michael Breakspear, Tjeerd W Boonstra



Endogenous brain activity supports spontaneous human thought and shapes perception and behavior. Connectivity-based analyses of endogenous, or resting-state, functional magnetic resonance imaging (fMRI) data have revealed the existence of a small number of robust networks which have a rich spatial structure. Yet the temporal information within fMRI data is limited, motivating the complementary analysis of electrophysiological recordings such as electroencephalography (EEG). Here we provide a novel method based on multivariate time-frequency interdependence to reconstruct the principal resting-state network dynamics in human EEG data. The stability of network expression across subjects is ass..

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Awarded by ARC

Awarded by BrainNRG

Awarded by Netherlands Organization for Scientific Research (NWO)

Funding Acknowledgements

This research was supported by the ARC Thinking Systems grant TS0669860; the National Health and Medical Research Council; BrainNRG collaborative award JSMF22002082, and the Netherlands Organization for Scientific Research (NWO #45110-030). The authors wish to thank Angela Langdon and James Roberts for their comments on a draft manuscript.