Low-Dimensional Dynamics of Resting-State Cortical Activity
Saeid Mehrkanoon, Michael Breakspear, Tjeerd W Boonstra
BRAIN TOPOGRAPHY | SPRINGER | Published : 2014
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..View full abstract
Awarded by ARC
Awarded by BrainNRG
Awarded by Netherlands Organization for Scientific Research (NWO)
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.