Highly Efficient Topological Property Of Brain Network In High-Level Basketball Players:A Graph Theory Study

The brain is a complex network system.Optimized topology makes the brain network more efficient in information transmission and integration.But the network topology to be what kind of optimization in order to ensure that the brain has a higher transmission efficiency is still unknown.High-level athletes,especially groups of high-level athletes compete in the game when the performance of the game,they need in a very short period of time to collect the external environment and internal physical status information,and with the past memory model to match Effective decision making and action execution.So the high level athlete's brain network is an efficient transmission network.The study of their brain network will help us to explore the optimal topology of the network.In this study,the method of graph theory is used to construct two groups of human brain white matter structure network,and the whole network attribute and local network attribute are compared respectively to explore the overall and local characteristics of the optimized brain network topology.The results show that that elite athletes' brain networks have a higher transmission efficiency compared with control.But contrary to our initial hypothesis,the main cause of the increase in the transmission efficiency focused on the enhancement of feeder connections,rather than the rich club connections.Furthermore,the enhanced connections were mainly distributed between frontal and subcortical modules and between occipital and parietal,subcortical and temporal modules,as well as within occipital module,which indicates that the high level athlete is in the transmission of visual information and motion information and The existence of interactive structure of the advantages.