基于图论的AD和EMCI脑功能网络分析  

Brain Functional Network Analysis of AD and EMCI Based on Graph Theory

作　　者：唐进[1] 马千里[1] 

机构地区：[1]南京邮电大学通信与信息工程学院,江苏南京210003

出　　处：《计算机技术与发展》2017年第1期164-168,共5页Computer Technology and Development

基　　金：国家自然科学基金资助项目(61201029)

摘　　要：人脑是一个复杂的系统,各个脑区神经活动之间相互作用。对脑功能网络的研究,一方面有助于探索大脑神经活动机制,另一方面,对探索大脑相关疾病的发病机理具有重要的应用价值和意义。采集了38例正常人(NC)、25例阿尔兹海默症(AD)患者、42例早期轻度认知障碍(EMCI)患者在静息状态下功能磁共振成像数据,利用标准脑模板将全脑划分为90个感兴趣区域,提取每个脑区的时间序列值,并计算脑区之间的相关程度。随后,在相对阈值法的基础上,提出了一种绝对阈值的方法。结合这两种不同的阈值选取策略,对所有被试的脑功能连接网络进行了建模,分别计算了平均最短路径长度L和聚类系数C。结果表明,AD和EMCI患者的脑功能连接网络的小世界性质已发生了变异。The brain is a complex system of interactions between different brain regions activities. Researches on brain functional net- works, on the one hand, help to explore the mechanism of the brain neural activity. On the other hand, it has important application value and significance to find the pathogenesis of brain related diseases. The collection of functional magnetic resonance imaging data in 38 Nor- mai Controls （NC） ,25 Alzheimer＇s Disease （AD） patients and 42 participants with Early Mild Cognitive Impairment （EMCI） is carried on under resting state. The whole brain is divided into 90 regions of interest by using a standard brain template,extraction of time series of each brain region, calculation of their degree of correlation. Subsequently, on the basis of the relative threshold method, an absolute threshold is presented. Combined the two different threshold selection strategy, each subjects＇ brain functional network is modeled. Aver- age path length and clustering coefficient are considered,and eventually it shows that the small-world nature of AD and EMCI patients＇ brain functional network have mutated.

关 键 词：静息状态功能磁共振成像 感兴趣区域 时间序列值 阈值选取策略 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]