• Neuroscience · Dec 2017

    Correlation between Resting-state Electroencephalographic Characteristics and Shooting Performance.

    • Anmin Gong, Jianping Liu, Fangbo Li, Fangyi Liu, Changhao Jiang, and Yunfa Fu.
    • School of Science, Engineering University of Chinese People's Armed Police Force, China. Electronic address: gonganmincapf@163.com.
    • Neuroscience. 2017 Dec 16; 366: 172-183.

    AbstractAccording 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.Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

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