数字背诵过程的大脑功能网络

Brain Functional Networks in Numbers' Recitation Process

本文利用网络建构分析方法研究数学认知的一个基本过程--背诵过程,特别是数字正数过程中大脑功能连接的特征。利用功能磁共振成像(fMRI)得到的数据,建立了在此认知任务下的大脑功能网络。对此网络的分析表明:功能连接的度分布呈power-law分布,网络的平均最短距离与对应的随机网络的相差不大,而平均集聚系数却大很多,表明此网络具有小世界特性。另外,分析集聚系数和度值之间的关系发现,此网络具有匹配(assortati)v特e性。

This paper studies the most basic numerical processing-number sequence recitation through the network method, especially the brain functional connectivity in numbers＇ forward recitation process. We construct the brain functional network under this cognition task from the fMRI data. Results show that, the distribution of functional connections is scale-free. The characteristic path length is relatively small and comparable to those calculated for equivalent random networks. The clustoring 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. Additionally, an unexpected assortative feature was apparent.