Abstract:
In order to investigate the central neurological characteristics of sleep deprivation on performance of exercise,30 male college students were randomly assigned to complete the Bruce exercise program in the following morning under sleep deprivation (SD) and normal sleep (NC). Resting-state EEG data acquisition was completed before and after exercise; the brain functional network was constructed using phase lag index, and the topological properties of the brain functional network were analyzed based on a graph-theoretic approach, including clustering coefficient (Cp), characteristic path length (Lp), global efficiency (Eg) and local efficiency (EL).Compared with the results after exercise in the normal sleep state, the results of brain network topological properties after exercise in the sleep-deprived state showed that Cp, Lp and EL in δ band were significantly increased (P<0 .05); Cp, Lp and EL in θ band were significantly increased, while Eg significantly decreased (P<0.05); Cp and EL in α1 band were significantly increased(P<0.05), while Lp and Eg were significantly decreased (P<0.05). A lack of sleep may cause the brain to work inefficiently and transmit information more slowly, thus affecting performance of exercise.
