Dynamic changes in network synchrony reveal resting-state functional networks

Chaos
Vesna Vuksanović, Philipp Hövel

Abstract

Experimental functional magnetic resonance imaging studies have shown that spontaneous brain activity, i.e., in the absence of any external input, exhibit complex spatial and temporal patterns of co-activity between segregated brain regions. These so-called large-scale resting-state functional connectivity networks represent dynamically organized neural assemblies interacting with each other in a complex way. It has been suggested that looking at the dynamical properties of complex patterns of brain functional co-activity may reveal neural mechanisms underlying the dynamic changes in functional interactions. Here, we examine how global network dynamics is shaped by different network configurations, derived from realistic brain functional interactions. We focus on two main dynamics measures: synchrony and variations in synchrony. Neural activity and the inferred hemodynamic response of the network nodes are simulated using a system of 90 FitzHugh-Nagumo neural models subject to system noise and time-delayed interactions. These models are embedded into the topology of the complex brain functional interactions, whose architecture is additionally reduced to its main structural pathways. In the simulated functional networks, pattern...Continue Reading

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Citations

Jan 20, 2018·Physical Review. E·D M MateosJ L Perez Velazquez
Nov 5, 2019·Frontiers in Neuroscience·Jose L Perez VelazquezRamon Guevara Erra
Mar 18, 2016·Physical Review. E·Thomas ErneuxPhilipp Hövel
Nov 17, 2020·Network Neuroscience·Pragya SrivastavaDanielle S Bassett

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