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Structural and functional clusters of complex brain networks
- Recent research using the complex network approach has revealed a rich and complicated network topology in the cortical connectivity of mammalian brains. It is of importance to understand the implications of such complex network structures in the functional organization of the brain activities. Here we study this problem from the viewpoint of dynamical complex networks. We investigate synchronization dynamics on the corticocortical network of the cat by modeling each node (cortical area) of the network with a sub-network of interacting excitable neurons. We find that the network displays clustered synchronization behavior, and the dynamical clusters coincide with the topological community structures observed in the anatomical network. Our results provide insights into the relationship between the global organization and the functional specialization of the brain cortex.
Author details: | Lucia Zemanova, Changsong ZhouGND, Jürgen KurthsORCiDGND |
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DOI: | https://doi.org/10.1016/j.physd.2006.09.008 |
ISSN: | 0167-2789 |
ISSN: | 1872-8022 |
Title of parent work (English): | Physica, D, Nonlinear phenomena |
Publisher: | Elsevier |
Place of publishing: | Amsterdam |
Publication type: | Article |
Language: | English |
Date of first publication: | 2006/11/02 |
Publication year: | 2006 |
Release date: | 2020/04/20 |
Tag: | anatomical connectivity; cortical network; dynamical cluster; functional connectivity; topological community |
Volume: | 224 |
Issue: | 1-2 |
Number of pages: | 11 |
First page: | 202 |
Last Page: | 212 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
DDC classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
Peer review: | Referiert |
Institution name at the time of the publication: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik |