高水平篮球运动员的高效大脑网络拓扑特性：一项图论研究
发布时间：2019-07-05 18:29
【摘要】：大脑是一个复杂的网络系统。优化的拓扑特性使得大脑网络能够更有效率地进行信息传输和整合。但是网络拓扑要进行什么样的优化才能保证大脑有更高的传输效率还不得而知。高水平运动员,尤其是团体对抗类项目的高水平运动员在比赛中进行运动表现时,需要他们在极短的时间内搜集外部环境和内在身体状态信息,并与过去的记忆模式相匹配,从而进行有效地决策和动作执行。因此高水平运动员的大脑网络是一个高效率的传输网络。对他们的大脑网络研究有助于我们探索网络的优化拓扑特点。本研究以篮球运动员为例,利用弥散张量成像技术,对篮球运动员和普通大学进行扫描,采集两组人的大脑白质数据。并采用图论的方法,构建两组人的大脑白质结构网络,分别进行整体网络属性和局部网络属性上的比较,来探讨优化的大脑网络拓扑整体和局部的特性。结果发现:(1)整体属性上,高水平篮球运动员在最短平均传输路径长度和全局传输效率上与普通人存在显著差异,而集聚系数上没有显著差异。高水平运动员具有更短的平均传输路径长度以及更高的全局传输效率。(2)局部属性的节点属性上,高水平篮球运动员拥有数量更多且分布更加广阔的核心节点,且运动员独有的核心节点多分布于眶额皮层、基底神经节、边缘系统以及枕叶区域。(3)局部属性的边属性上,高水平运动员在三种类型的边上均存在连接强度大于普通人的连接,且在连接强度大于普通人的连接中,feeder连接(负责外周与中枢网络的连接)的数量和对全局效率的影响上都占有主要地位。结果表明:高水平篮球运动员的大脑网络具有更加高效的传输效率,这主要得益于更加广泛多样的核心节点,以及最重要的,外周与中枢的连接更加便捷。而且在高水平运动员大脑网络中,连接强度增加的连接主要为眶部额回——基底神经节和与枕叶有关的模块间的连接,这表明高水平运动员在视觉信息与运动信息的传输和交互存在结构上的优势。
[Abstract]:The brain is a complex network system. The optimized topological characteristics enable the brain network to transmit and integrate information more efficiently. However, it is not known what kind of optimization the network topology needs to ensure that the brain has higher transmission efficiency. When high-level athletes, especially high-level athletes of group confrontation events, perform in the competition, they need to collect the information of external environment and internal physical state in a very short time, and match with the past memory patterns, so as to make effective decision-making and action execution. Therefore, the brain network of high-level athletes is an efficient transmission network. The study of their brain network is helpful for us to explore the optimal topological characteristics of the network. In this study, basketball players were taken as an example, diffusion tensor imaging technique was used to scan basketball players and ordinary universities, and the white matter data of the two groups of people were collected. By using the method of graph theory, the white matter structure network of the two groups of people is constructed, and the global network attributes and the local network attributes are compared respectively to explore the global and local characteristics of the optimized brain network topology. The results show that: (1) on the whole attribute, there are significant differences in the shortest average transmission path length and global transmission efficiency between high-level basketball players and ordinary people, but there is no significant difference in agglomeration coefficient between high-level basketball players and ordinary people. High-level athletes have shorter average transmission path length and higher global transmission efficiency. (2) on the node attributes of local attributes, high-level basketball players have more and more widely distributed core nodes, and the unique core nodes of athletes are mostly distributed in orbitofrontal cortex, basal ganglia, marginal system and occipital lobe area. (3) the edge attributes of local attributes, The connection strength of high level athletes is higher than that of ordinary people on the edges of all three types of athletes, and the number of feeder connections (which are responsible for the connection between peripheral and central networks) and their influence on global efficiency play a major role in connections whose connection strength is greater than that of ordinary people. The results show that the brain network of high level basketball players has more efficient transmission efficiency, which is mainly due to a wider variety of core nodes, as well as, most importantly, the connection between the periphery and the center is more convenient. Moreover, in the brain network of high-level athletes, the increased connection intensity is mainly the connection between the orbital forehead gyrus-basal ganglia and the modules related to the occipital lobe, which indicates that the high-level athletes have structural advantages in the transmission and interaction of visual information and sports information.
【学位授予单位】：上海体育学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G841
本文编号：2510727
[Abstract]:The brain is a complex network system. The optimized topological characteristics enable the brain network to transmit and integrate information more efficiently. However, it is not known what kind of optimization the network topology needs to ensure that the brain has higher transmission efficiency. When high-level athletes, especially high-level athletes of group confrontation events, perform in the competition, they need to collect the information of external environment and internal physical state in a very short time, and match with the past memory patterns, so as to make effective decision-making and action execution. Therefore, the brain network of high-level athletes is an efficient transmission network. The study of their brain network is helpful for us to explore the optimal topological characteristics of the network. In this study, basketball players were taken as an example, diffusion tensor imaging technique was used to scan basketball players and ordinary universities, and the white matter data of the two groups of people were collected. By using the method of graph theory, the white matter structure network of the two groups of people is constructed, and the global network attributes and the local network attributes are compared respectively to explore the global and local characteristics of the optimized brain network topology. The results show that: (1) on the whole attribute, there are significant differences in the shortest average transmission path length and global transmission efficiency between high-level basketball players and ordinary people, but there is no significant difference in agglomeration coefficient between high-level basketball players and ordinary people. High-level athletes have shorter average transmission path length and higher global transmission efficiency. (2) on the node attributes of local attributes, high-level basketball players have more and more widely distributed core nodes, and the unique core nodes of athletes are mostly distributed in orbitofrontal cortex, basal ganglia, marginal system and occipital lobe area. (3) the edge attributes of local attributes, The connection strength of high level athletes is higher than that of ordinary people on the edges of all three types of athletes, and the number of feeder connections (which are responsible for the connection between peripheral and central networks) and their influence on global efficiency play a major role in connections whose connection strength is greater than that of ordinary people. The results show that the brain network of high level basketball players has more efficient transmission efficiency, which is mainly due to a wider variety of core nodes, as well as, most importantly, the connection between the periphery and the center is more convenient. Moreover, in the brain network of high-level athletes, the increased connection intensity is mainly the connection between the orbital forehead gyrus-basal ganglia and the modules related to the occipital lobe, which indicates that the high-level athletes have structural advantages in the transmission and interaction of visual information and sports information.
【学位授予单位】：上海体育学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G841
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