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

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 functional network, and explore the impact of age on the human brain functional network of healthy people, and ultimately contribute to age-related brain mental illness pathogenesis of diagnosis, treatment and prevention.

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。

人脑是一个复杂巨系统，脑功能网络研究能为解码人脑提供了许多有价值的信息。项目以人脑静息态下的脑电信号为研究对象，用立足于图论的复杂网路理论为分析工具，设计挑选四个有特征性年龄段的健康人群各20 人进行脑电数据采集，探索了人脑功能网络的拓扑结构特点，主要研究内容如下：1）人脑功能网络不仅有传统的小世界特性，更有经济小世界特性；2）人脑功能网络具有社区结构，并且男女间有明显的性别差异；3）人脑功能网络拓扑结构随年龄演化。