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Complex brain networks: graph theoretical analysis of structural and functional systems.

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Nature reviews. Neuroscience

Springer Nature

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      Abstract

      Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization. The brain's structural and functional systems have features of complex networks--such as small-world topology, highly connected hubs and modularity--both at the whole-brain scale of human neuroimaging and at a cellular scale in non-human animals. In this article, we review studies investigating complex brain networks in diverse experimental modalities (including structural and functional MRI, diffusion tensor imaging, magnetoencephalography and electroencephalography in humans) and provide an accessible introduction to the basic principles of graph theory. We also highlight some of the technical challenges and key questions to be addressed by future developments in this rapidly moving field.

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      Affiliations
      [1 ] University of Cambridge, Behavioural & Clinical Neurosciences Institute, Department of Psychiatry, Addenbrooke's Hospital, Cambridge, CB2 2QQ, UK. etb23@cam.ac.uk
      Journal
      Nat. Rev. Neurosci.
      Nature reviews. Neuroscience
      Springer Nature
      1471-0048
      1471-003X
      Mar 2009
      : 10
      : 3
      19190637
      nrn2575
      10.1038/nrn2575

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