什么是小世界现象，大家都比较熟悉SNS（校内）吧，平均来说，任意两个人需要认识对方需要经过5个人的介绍（6度分离）。
这个世界是很小的。同样，神经元组成的网络也是复杂网络的一个特例。
今天出版的《自然评论-神经科学》登出了一篇对脑的复杂网络的综述，讨论了神经成像数据（结构与功能MRI、DTI、脑磁脑电）的复杂网络特征。
这里我估计下研究的作用：复杂网络是复杂系统研究（混沌、分形、耗散结构理论、协同学、无标度自相似的网络诸如此类）的一部分，这个领域通常采用计算机建模来研究，或许会推进计算神经科学的发展。
水滴连接（有全文）
原文连接
Review
Nature Reviews Neuroscience 10, 186-198 (March 2009) | doi:10.1038/nrn2575
Complex brain networks: graph theoretical analysis of structural and functional systems
There is a Corrigendum (March 3rd) associated with this article.
Ed Bullmore1,2 & Olaf Sporns3 About the authors
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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 affiliations
1. University of Cambridge, Behavioural & Clinical Neurosciences Institute, Department of Psychiatry, Addenbrooke's Hospital, Cambridge, CB2 2QQ, UK.
2. GlaxoSmithKline, Clinical Unit Cambridge, Addenbrooke's Hospital, Cambridge, CB2 2QQ, UK.
3. Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405, USA.
Correspondence to: Ed Bullmore1,2 Email: etb23@cam.ac.uk
source：Nature Review Neuroscience
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