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Low-dimensional resting-state dynamics

posted Oct 20, 2013, 4:09 PM by Tjeerd B
Cortical activity reveals complex dynamics even at rest. Connectivity analyses of resting-state fMRI data have revealed the existence of a small number of robust networks with rich spatial structure. In this paper, we study resting-state EEG data using a novel method based on multivariate time–frequency interdependence. By capturing patterns of neural synchronisation at frequencies between 5-45 Hz, we reconstruct the principal resting-state network dynamics in human EEG data and the low dimensional linear subspace in which they unfold.
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