Complex brain networks: From topological communities to clustered dynamics |
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Authors: | Lucia Zemanová Gorka Zamora-López Changsong Zhou Jürgen Kurths |
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Institution: | (1) Institute of Physics, University of Potsdam, 14469, Potsdam, Germany;(2) Department of Physics, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China |
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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.
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Keywords: | Cortical networks multilevel model anatomical hierarchy functional hierarchy clustered synchronisation |
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