Correlation Between Resting-state Electroencephalographic Characteristics and Shooting Performance. (16th December 2017)

• Record Type: Journal Article
• Authors: Gong, Anmin; Liu, Jianping; Li, Fangbo; Liu, Fangyi; Jiang, Changhao; Fu, Yunfa
• Is Part Of: Neuroscience. Volume 366(2017)
• Page Start: 172
• Page End: 183
• Publication Date: 2017-12-16
• Subjects: ERD eye event-related desynchronization -- ERS eye event-related synchronization -- IAF individual alpha frequency -- SMR sensory motor rhythm; electroencephalogram -- shooting -- coherence -- correlation analysis; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2017.10.016
• Languages: English
• ISSNs: 0306-4522

Abstract

Graphical abstract: Highlights: A variety of methods was employed to study the relationship between EEG characteristics and shooting performance. There is a high correlation between the shooting performance and the EEG coherence of C3 and T3 in Beta 1 band. This study may help in the training level evaluation and the selection of promising candidates of shooting sports. Abstract: According to the theories of neural plasticity and neural efficiency, professional skill training improves performance by strengthening the underlying neural mechanisms. Therefore, subjects trained professionally may exhibit changes in resting-state neurophysiological characteristics closely related to performance. To test this notion, the resting-state electroencephalogram (EEG) was measured from 35 rifle shooters after the same training regimen, and resting-state EEG characteristics were analyzed for correlations with shooting performance. The results showed a significant linear correlation between shooting performance and the coherence of electrode channels C3 and T3 in the beta1 band ( r = 0.74, P < 4.2 × 10 −6 ). There was also a significant linear correlation between the characteristic path length of the resting-state theta band brain network and shooting performance ( r = 0.56, P < 0.0005). This study identifies potential neural mechanisms underlying successful shooting and a new method for predicting and evaluating performance based on EEG characteristics.