グラフ応用

http://www.indiana.edu/~cortex/networks_nrn.pdf

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

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.