多年龄段健康人群静息态脑功能网络的特性及其随年龄的演化

项目名称： 多年龄段健康人群静息态脑功能网络的特性及其随年龄的演化

项目编号： No.31201001

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 遗传学与生物信息学、细胞生物学

项目作者： 黄文涛

作者单位： 浙江海洋学院

项目金额： 22万元

中文摘要： 探求年龄对人脑功能网络的影响，有助于加深对一些与年龄相关脑神经精神疾病的理解。人们采用脑电图(EEG)等无创手段进行信号检测，利用复杂网络作为理论分析工具，在探索脑功能网络方面取得一系列成果：如小世界和无标度特性。但是，人脑功能网络随年龄的演化以及其在介观层次的网络拓朴特性的研究仍然很少。因此，本项目拟收集健康儿童(4-7 岁)、青年(18-25 岁)、盛年（35-45）和老年(60-75 岁)四个年龄段的样本各20 例(右利手)，采集处在静息状态下个体的EEG脑电信号，随后用复杂网络理论中的常规计算和社团探测方法对数据进行分析，探寻人脑网络常规测度和社团模块随年龄而发生的演变。这些工作的开展将从脑功能模块与年龄的关系这一新视角，探索复杂网络的社团模块分析方法在脑功能网络上的具体应用，探寻年龄对健康人群脑功能网络的影响，最终有助于对年龄相关脑神经精神疾病发病机制的的诊断、治疗和预防。

中文关键词： 脑功能网络；复杂网络；脑电图；经济小世界；社团

英文摘要： Explore the impact of age on human brain functional network, will help to deepen the understanding of some age-related brain mental illness. People have used the electroencephalogram (EEG) and other non-invasive means for signal detection, utilized complex networks as theoretical analysis tools, and achived a series of advances in the exploration of the brain functional network, such as small-world and scale-free characteristics. However, few studies have been conducted to explore the evolution of human brain functional network with a wide range of age, as well as its network characteristics in topological mesoscopic level. Thus, the project intends to collect the healthy children (4-7 years), youth (18-25 years), prime (35-45 years) and elderly (60-75 years) of four group samples, each about 20 cases (right-handed), dect the EEG signal of individuals in resting state, analyze the data using conventianl and community detection methods from complex networks theory, explore the age-dependent evolution of the conventional measurements and community modules of the human brain networks. Carrying out of the work will explore the relationship between brain function module and the age from a new viewpoint, explore the specific application of community dection method from complex networks in the field of brain functi

英文关键词： Brain functional network；Complex network；EEG；Economical small-world；Community