睡眠剥夺下人脑功能脑网络分析  

Analysis of Human Cerebral Function and Brain Network under Sleep Deprivation

作　　者：唐书辉[1] 卿鹏[1] 

机构地区：[1]西南大学计算机与信息科学学院软件学院,重庆400715

出　　处：《重庆工商大学学报（自然科学版）》2016年第6期31-35,共5页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：国家自然科学基金(61472330)

摘　　要：在静息态和睡眠剥夺下分别获取了人脑f MRI数据,通过小波变换提取功能磁共振的时间序列,计算人脑116个脑区的相关性,发现在睡眠剥夺下人脑功能连接相较于静息态下有明显的变化,连接强度、聚类系数、特征路径长度、网络效率、小世界特性都有明显的变化;睡眠剥夺下脑区点效率变化在大脑脑区的激活增强居多,大脑激活补偿增强,而在小脑脑区点效率减弱比较明显,且影响小脑脑区数量相对于大脑更多,这表明睡眠剥夺对小脑影响比大脑更加明显。Human cerebral MRI data are acquired under resting state and sleep deprivation,the time sequence of functional magnetic resonance is extracted via wavelet transform,and the relativity of 116 human brain regions is calculated. This paper finds that human brain function connection has obvious change by comparing it with resting state under sleep deprivation,i. e.,connection strength,clustering coefficient,feature path length,network efficiency and small-world feature have significant change. Under sleep deprivation, cerebral regional point efficiency change activation in brain is increased, brain activation compensation is enhanced, however, in cerebellum region,point efficiency is significantly decreased,the impact on the number of cerebellum region is more than that of brain,which indicate that the effect of sleep deprivation on cerebellum regions is more obvious than that of brain regions.

关 键 词：睡眠剥夺 网络效率 小世界特性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]