Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling

Changsong Zhou, Lucia Zemanova, Claus C. Hilgetag, J. Kurths

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We try to illuminate the relationship between structural and functional connectivity by studying synchronization dynamics based on realistic anatomical network of cat cortical connectivity. A multilevel model is considered, where each cortical area is modeled by a subnetwork of interacting excitable neurons. We show that the model displays biologically plausible dynamics, and the synchronization patterns reveal a hierarchical cluster organization in the network structure. A group of brain areas involved into multimodal association can be identified by comparing the dynamical clusters to the topological communities of the network.

Original languageEnglish
Title of host publicationAdvances in Cognitive Neurodynamics
Subtitle of host publicationProceedings of the International Conference on Cognitive Neurodynamics - 2007
EditorsR Wang, F Gu, E Shen
Place of PublicationTotowa
PublisherHUMANA PRESS INC
Pages511-514
Number of pages4
ISBN (Print)978-1-4020-8386-0
Publication statusPublished - 2008
Event1st International Conference on Cognitive Neurodynamics - Shanghai
Duration: 17 Nov 200721 Nov 2007

Conference

Conference1st International Conference on Cognitive Neurodynamics
CityShanghai
Period17/11/0721/11/07

Keywords

  • organization
  • connectivity

Cite this

Zhou, C., Zemanova, L., Hilgetag, C. C., & Kurths, J. (2008). Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling. In R. Wang, F. Gu, & E. Shen (Eds.), Advances in Cognitive Neurodynamics: Proceedings of the International Conference on Cognitive Neurodynamics - 2007 (pp. 511-514). HUMANA PRESS INC.