Complex brain networks: From topological communities to clustered dynamics

Lucia Zemanova, Gorka Zamora-Lopez, Changsong Zhou, Juergen Kurths

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1087-1097
Number of pages11
JournalPramana
Volume70
Issue number6
DOIs
Publication statusPublished - Jun 2008

Keywords

  • cortical networks
  • multilevel model
  • anatomical hierarchy
  • functional hierarchy
  • clustered synchronisation

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