Characteristic differences between the brain networks of high-level shooting athletes and non-athletes calculated using the phase-locking value algorithm. (May 2019)

• Record Type: Journal Article
• Authors: Gong, Anmin; Liu, Jianping; Lua, Ling; Wu, Gengrui; Jiang, Changhao; Fu, Yunfa
• Is Part Of: Biomedical signal processing and control. Volume 51(2019)
• Page Start: 128
• Page End: 137
• Publication Date: 2019-05
• Subjects: Expert shooting athletes -- Electroencephalogram (EEG) -- Phase-locking value (PLV) -- Brain function network; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2019.02.009
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: Analyzing the difference in electroencephalograms of the brain network between high-level shooting athletes and non-athletes in the eyes-closed resting state. The results indicate that the electroencephalogram connections of high-level athletes are significantly greater than that of non-athletes. The brain-network-clustering coefficient and small-world characteristics of high-level athletes are greater than those of non-athletes. Abstract: Long-term professional sport training may cause the brain functional network of high-level athletes to differ significantly from that of non-athletes. To test this hypothesis, electroencephalograms (EEGs) from 20 high-level shooting athletes and 20 age- and gender-matched non-athletes are collected in an eyes-closed resting state. The frequency spectrum was divided into four bands according to the individual alpha frequency of each participant: delta, theta, alpha1, and alpha2. The phase-locking values of the EEG in each frequency band are calculated and graph theory is used to analyze the topology of the EEG brain functional network based on the phase-locking-value connection. The results show that, compared with non-athletes, high-level shooters have higher connectivity in the left-temporal region, left-posterior temporal region, left-frontal region, left-central region, and right-parietal region. The network-clustering coefficients and small-world characteristics of athletes in the theta and alpha1 bands are significantly greater than that of non-athletes. These results support the hypothesis that brain function coupling in high-level shooting athletes is more connected than that in non-athletes, and the brain networks of high-level athlete have stronger small-world characteristics than those of non-athletes.