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BP: Fachverband Biologische Physik

BP 2: Neurophysics I

BP 2.9: Vortrag

Montag, 16. März 2015, 11:45–12:00, H 1058

Dynamic changes in network synchrony reveal resting-state functional networks — •Vesna Vuksanovic^1,2 and Philipp Hövel^1,2 — ¹Institute für Theoretische Physik, Technische Universität Berlin, Germany — ²Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität zu Berlin, Germany

Experimental studies of the human brain activity at rest i.e. without any overt-directed behavior have revealed patterns of correlated activity, so called resting-state networks. The neural mechanisms contributing to the formation of these networks are largely unknown. We use modeling approach to interpret these experimental findings, looking at the brain as the dynamical system. We characterize brain network dynamical properties by synchrony and variability in synchrony. We demonstrate that functional brain interactions may arise from the network dynamics which allow flexible changes between different network configurations. We show that these changes reflect almost periodic alternations between network synchronized and desynchronized state.