Scale-free brain functional networks -: art. no. 018102
Scale-free brain functional networks -: art. no. 018102
复制标题
DOI：
10.1103/physrevlett.94.018102
复制
发表时间：
2005-01-14
影响因子：
8.6
通讯作者：
Apkarian, AV
中科院分区：
文献类型：
--
作者：
Eguíluz, VM;Chialvo, DR;Apkarian, AV
功能磁共振成像被用来提取连接相关人脑部位的功能网络。对不同任务下网络的分析表明：(A)功能连接的分布和找到链路的概率随距离的变化都是无标度的；(B)特征路径长度较小，可与等价随机网络的特征路径长度相比较；(C)聚类系数比等价随机网络的大一个数量级。所有这些属性，都是无标度小世界网络的典型特征，反映了有关大脑状态的重要功能信息。
Functional magnetic resonance imaging is used to extract functional networks connecting correlated human brain sites. Analysis of the resulting networks in different tasks shows that (a) the distribution of functional connections, and the probability of finding a link versus distance are both scale-free, (b) the characteristic path length is small and comparable with those of equivalent random networks, and (c) the clustering coefficient is orders of magnitude larger than those of equivalent random networks. All these properties, typical of scale-free small-world networks, reflect important functional information about brain states.