Graph analysis of cortical networks reveals complex anatomical communication substrate

Gorka Zamora-López*, Changsong Zhou, Jürgen Kurths

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

77 Citations (Scopus)
18 Downloads (Pure)


Sensory information entering the nervous system follows independent paths of processing such that specific features are individually detected. However, sensory perception, awareness, and cognition emerge from the combination of information. Here we have analyzed the corticocortical network of the cat, looking for the anatomical substrate which permits the simultaneous segregation and integration of information in the brain. We find that cortical communications are mainly governed by three topological factors of the underlying network: (i) a large density of connections, (ii) segregation of cortical areas into clusters, and (iii) the presence of highly connected hubs aiding the multisensory processing and integration. Statistical analysis of the shortest paths reveals that, while information is highly accessible to all cortical areas, the complexity of cortical information processing may arise from the rich and intricate alternative paths in which areas can influence each other.

This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Gorka Zamora-López, Changsong Zhou, Jürgen Kurths; Graph analysis of cortical networks reveals complex anatomical communication substrate. Chaos 1 March 2009; 19 (1): 015117. and may be found at

Original languageEnglish
Article number015117
Number of pages7
Issue number1
Publication statusPublished - Mar 2009

Scopus Subject Areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)
  • Applied Mathematics


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