Journal
NATURE REVIEWS NEUROSCIENCE
Volume 10, Issue 3, Pages 186-198Publisher
NATURE PORTFOLIO
DOI: 10.1038/nrn2575
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Funding
- National Institute of Mental Health
- National Institute of Biomedical Imaging Bioengineering
- Wellcome Trust
- Medical Research Council (UK)
- JS McDonnell Foundation
- Medical Research Council [G0001354, G0001354B] Funding Source: researchfish
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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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