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基于图论的复杂脑网络分析

Analysis of Complex Brain Networks Based on Graph Theory

作者: 田丽霞 
单位:北京交通大学计算机与信息技术学院(北京100044)
关键词: 图论;复杂脑网络 
分类号:
出版年·卷·期(页码):2010·29·1(96-100)
摘要:

近年来基于图论的复杂网络分析极大地推进了人类对于脑网络组织模式的认识。本文首先介绍了基于图论的复杂脑网络分析中常用的几个度量,包括节点属性度量和网络属性度量。然后简要介绍了基于这些度量进行复杂脑网络分析的一些研究结果,其中包括针对正常人脑以及神经精神疾病病人脑。最后讨论了复杂脑网络分析领域待解决的问题。

Recently, complex brain network analysis has greatly improved our knowledge on brain network organization. In this paper, we firstly provide several measures that are frequently employed to evaluate the properties of certain complex brain network, including those for the node properties and those for network properties. Then we review several interesting studies on the complex brain networks based on these measures, which are carried out on normal subjects and patients with psychiatric disorder. Finally, a brief discussion on further studies in the region of complex brain network analysis is provided.

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