静息态人脑功能网络的小世界特性  

Small-World Properties of Resting State Human Brain Functional Networks

作　　者：黄文涛[1,2] 冯又层[1] 

机构地区：[1]中南民族大学电子信息工程学院,武汉430074 [2]中南民族大学武汉神经科学和神经工程研究所,武汉430074

出　　处：《中南民族大学学报（自然科学版）》2011年第3期57-60,共4页Journal of South-Central University for Nationalities：Natural Science Edition

基　　金：国家自然科学基金资助项目(11047134);中南民族大学自然科学基金资助项目(YZZ09004);中南民族大学神经科学和神经工程重点实验室研究基金资助项目(XJS09001)

摘　　要：研究了静息态下健康人脑的功能连接模式有助于理解人脑在正常或疾病状态下的功能活动规律.利用小波变换从健康志愿者静息态的功能磁共振成像中提取时间序列,计算90个脑区的相关性,设定阈值建立脑功能网络的无向简单图,然后计算特征路径长度和聚类系数,并对度分布进行拟合.结果显示:脑功能网络具有规则网络的大聚集系数又具有随机网络的小特征路径长度,度的拟合显示具有指数截断幂律分布,即脑功能网络具有小世界特性.It is important to study the resting state functional pattern of healthy human brain because it will aid us to understand the law of functional activities of human brain in normal or disease states.Using wavelet transformation,time series of 90 brain regions were extracted from functional magnetic resonance imagines of resting state healthy volunteers.Functional correlations between brain regions were calculated,and the threshold was set to establish the simple undirected graph,then characteristic path length and clustering coefficient were computed,finally the degree distribution was fitted.The results demonstrated that the brain functional networks had both big clustering coefficients like regular networks and small characteristic path lengths similar as random networks,degree distribution met exponentially truncated power-law distribution.Taken together,the human brain functional networks have small world properties.

关 键 词：复杂网络 小世界 脑功能连接 静息态 功能磁共振成像 

分 类 号：O414[理学—理论物理] R741.04[理学—物理]