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

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      Nature Reviews Neuroscience
      Springer Science and Business Media LLC

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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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          Author and article information

          Journal
          Nature Reviews Neuroscience
          Nat Rev Neurosci
          Springer Science and Business Media LLC
          1471-003X
          1471-0048
          March 2009
          February 4 2009
          March 2009
          : 10
          : 3
          : 186-198
          Article
          10.1038/nrn2575
          297ef92b-266d-4be6-9f5d-6ef3e388d7f0
          © 2009

          http://www.springer.com/tdm

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