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Complex brain networks: From topological communities to clustered dynamics
Authors:Lucia Zemanová  Gorka Zamora-López  Changsong Zhou  Jürgen Kurths
Institution:(1) Institute of Physics, University of Potsdam, 14469, Potsdam, Germany;(2) Department of Physics, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China
Abstract:Recent research has revealed a rich and complicated network topology in the cortical connectivity of mammalian brains. A challenging task is to understand the implications of such network structures on the functional organisation of the brain activities. We investigate synchronisation dynamics on the corticocortical network of the cat by modelling each node of the network (cortical area) with a subnetwork of interacting excitable neurons. We find that this network of networks displays clustered synchronisation behaviour and the dynamical clusters closely coincide with the topological community structures observed in the anatomical network. The correlation between the firing rate of the areas and the areal intensity is additionally examined. Our results provide insights into the relationship between the global organisation and the functional specialisation of the brain cortex.
Keywords:Cortical networks  multilevel model  anatomical hierarchy  functional hierarchy  clustered synchronisation
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