Eguíluz Victor M, Chialvo Dante R, Cecchi Guillermo A, Baliki Marwan, Apkarian A Vania
Instituto Mediterráneo de Estudios Avanzados, IMEDEA, E07122 Palma de Mallorca, Spain.
Phys Rev Lett. 2005 Jan 14;94(1):018102. doi: 10.1103/PhysRevLett.94.018102. Epub 2005 Jan 6.
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.
功能磁共振成像用于提取连接相关人类脑区的功能网络。对不同任务中所得网络的分析表明：（a）功能连接的分布以及找到连接与距离的概率均无标度；（b）特征路径长度较短，与等效随机网络的特征路径长度相当；（c）聚类系数比等效随机网络的聚类系数大几个数量级。所有这些无标度小世界网络的典型特性都反映了有关脑状态的重要功能信息。
