Format

Send to

Choose Destination
See comment in PubMed Commons below
Front Neurosci. 2010 Dec 8;4:200. doi: 10.3389/fnins.2010.00200. eCollection 2010.

Modular and hierarchically modular organization of brain networks.

Author information

  • 1Centre for Speech, Language and the Brain, Department of Experimental Psychology, University of Cambridge Cambridge, UK.

Abstract

Brain networks are increasingly understood as one of a large class of information processing systems that share important organizational principles in common, including the property of a modular community structure. A module is topologically defined as a subset of highly inter-connected nodes which are relatively sparsely connected to nodes in other modules. In brain networks, topological modules are often made up of anatomically neighboring and/or functionally related cortical regions, and inter-modular connections tend to be relatively long distance. Moreover, brain networks and many other complex systems demonstrate the property of hierarchical modularity, or modularity on several topological scales: within each module there will be a set of sub-modules, and within each sub-module a set of sub-sub-modules, etc. There are several general advantages to modular and hierarchically modular network organization, including greater robustness, adaptivity, and evolvability of network function. In this context, we review some of the mathematical concepts available for quantitative analysis of (hierarchical) modularity in brain networks and we summarize some of the recent work investigating modularity of structural and functional brain networks derived from analysis of human neuroimaging data.

KEYWORDS:

cortex; fractal; graph; near-decomposability; partition

PMID:
21151783
PMCID:
PMC3000003
DOI:
10.3389/fnins.2010.00200
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Frontiers Media SA Icon for PubMed Central
    Loading ...
    Support Center