北京生物醫(yī)學(xué)工程

基于圖論的復(fù)雜腦網(wǎng)絡(luò)分析

Analysis of Complex Brain Networks Based on Graph Theory

作者：田麗霞

單位：北京交通大學(xué)計(jì)算機(jī)與信息技術(shù)學(xué)院（北京100044）

關(guān)鍵詞：圖論；復(fù)雜腦網(wǎng)絡(luò)

分類號：

出版年·卷·期（頁碼）：2010·29·1（96-100）

摘要：

近年來基于圖論的復(fù)雜網(wǎng)絡(luò)分析極大地推進(jìn)了人類對于腦網(wǎng)絡(luò)組織模式的認(rèn)識。本文首先介紹了基于圖論的復(fù)雜腦網(wǎng)絡(luò)分析中常用的幾個度量，包括節(jié)點(diǎn)屬性度量和網(wǎng)絡(luò)屬性度量。然后簡要介紹了基于這些度量進(jìn)行復(fù)雜腦網(wǎng)絡(luò)分析的一些研究結(jié)果，其中包括針對正常人腦以及神經(jīng)精神疾病病人腦。最后討論了復(fù)雜腦網(wǎng)絡(luò)分析領(lǐng)域待解決的問題。

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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