Literature DB >> 17280251

Hierarchical organization unveiled by functional connectivity in complex brain networks.

Changsong Zhou1, Lucia Zemanová, Gorka Zamora, Claus C Hilgetag, Jürgen Kurths.   

Abstract

How do diverse dynamical patterns arise from the topology of complex networks? We study synchronization dynamics in the cortical brain network of the cat, which displays a hierarchically clustered organization, by modeling each node (cortical area) with a subnetwork of interacting excitable neurons. We find that in the biologically plausible regime the dynamics exhibits a hierarchical modular organization, in particular, revealing functional clusters coinciding with the anatomical communities at different scales. Our results provide insights into the relationship between network topology and functional organization of complex brain networks.

Mesh:

Year:  2006        PMID: 17280251     DOI: 10.1103/PhysRevLett.97.238103

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  93 in total

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7.  Stability and structural constraints of random brain networks with excitatory and inhibitory neural populations.

Authors:  Richard T Gray; Peter A Robinson
Journal:  J Comput Neurosci       Date:  2008-12-23       Impact factor: 1.621

8.  Consciousness related neural events viewed as brain state space transitions.

Authors:  Gerhard Werner
Journal:  Cogn Neurodyn       Date:  2008-04-13       Impact factor: 5.082

9.  Graph-based network analysis in schizophrenia.

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10.  Extraction and characterization of essential discharge patterns from multisite recordings of spiking ongoing activity.

Authors:  Riccardo Storchi; Gabriele E M Biella; Diego Liberati; Giuseppe Baselli
Journal:  PLoS One       Date:  2009-01-28       Impact factor: 3.240

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