Complex brain networks: From topological communities to clustered dynamics

Lucia Zemanová, Gorka Zamora-LóPez, Changsong ZHOU*, Jürgen Kurths

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

7 Citations (Scopus)


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 - Journal of Physics
Issue number6
Publication statusPublished - Jun 2008

Scopus Subject Areas

  • Physics and Astronomy(all)

User-Defined Keywords

  • Anatomical hierarchy
  • Clustered synchronisation
  • Cortical networks
  • Functional hierarchy
  • Multilevel model


Dive into the research topics of 'Complex brain networks: From topological communities to clustered dynamics'. Together they form a unique fingerprint.

Cite this