【摘要】 目的利用18F-FDGPET图像分析大脑葡萄糖代谢的情况,建立脑区间的功能连接网络,分析大脑功能网络的成本和效率等网络特性,研究利用大脑葡萄糖代谢指标所构成的功能网络是否具有经济的小世界特性。方法对148名健康志愿者,年龄在30～59(47.1±7.7)岁之间,分别采集静息状态下的脑部18F-FDGPET图像,利用统计参数图(SPM)对图像进行归一化,提取功能脑区,根据各脑区之间葡萄糖代谢的相关性,构建出全脑的功能网络模型,分析其网络特性。结果大脑功能网络的全局效率比规则网络高且比随机网络低;局部效率比随机网络高,比规则网络低,具有小世界网络特性,且在中低成本区间表现尤其明显。结论大脑各脑区的葡萄糖代谢具有高效、低成本的小世界网络特性。为研究大脑功能提供了生理学和分子影像方面的证据和方法。更多还原

【Abstract】 Objective To establish a brain functional network of the whole brain based on glucose metabolism,and to evaluate the cost and efficiency of the functional network.Methods 18F-FDG PET of 148 healthy volunteers (30～59 years,n=148) was performed in a resting state.Images were registered to atlas by using the statistical parametric mapping (SPM) software.The functional connectivity between 90 cortical and sub-cortical regions was estimated by correlation analysis.Results Glucose metabolism brain functional networks had global efficiency greater than the lattice but less than the random graph,and local efficiency greater than random but less than lattice.This characteristically small-world behavior of the brain network was most consistently seen for low-cost to medium-cost networks.The small world regime was Cost～[0.0512,0.5406].The cost efficiency of the networks typically had a maximum positive value when the cost was 0.23.Conclusions Glucose metabolism brain functional networks have economical small-world properties.It is feasible to analyze the functional characteristics of human brain by study 18F-FDG PET images.This paper provides a new method for studies on brain function.更多还原