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 language | English |
|---|---|
| Pages (from-to) | 1087-1097 |
| Number of pages | 11 |
| Journal | Pramana |
| Volume | 70 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2008 |
Keywords
- cortical networks
- multilevel model
- anatomical hierarchy
- functional hierarchy
- clustered synchronisation
Cite this
Complex brain networks : From topological communities to clustered dynamics. / Zemanova, Lucia; Zamora-Lopez, Gorka; Zhou, Changsong; Kurths, Juergen.
In: Pramana, Vol. 70, No. 6, 06.2008, p. 1087-1097.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Complex brain networks
T2 - From topological communities to clustered dynamics
AU - Zemanova, Lucia
AU - Zamora-Lopez, Gorka
AU - Zhou, Changsong
AU - Kurths, Juergen
PY - 2008/6
Y1 - 2008/6
N2 - 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.
AB - 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.
KW - cortical networks
KW - multilevel model
KW - anatomical hierarchy
KW - functional hierarchy
KW - clustered synchronisation
U2 - 10.1007/s12043-008-0113-1
DO - 10.1007/s12043-008-0113-1
M3 - Article
VL - 70
SP - 1087
EP - 1097
JO - Pramana
JF - Pramana
SN - 0304-4289
IS - 6
ER -