School of Science, Engineering University of Chinese People's Armed Police Force, China.
School of Science, Engineering University of Chinese People's Armed Police Force, China.
Neuroscience. 2017 Dec 16;366:172-183. doi: 10.1016/j.neuroscience.2017.10.016. Epub 2017 Oct 25.
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). 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.
根据神经可塑性和神经效率理论，专业技能训练通过增强潜在的神经机制来提高表现。因此，经过专业训练的受试者可能会表现出与表现密切相关的静息态神经生理特征的变化。为了验证这一观点，对 35 名步枪射手在相同的训练方案后进行了静息态脑电图（EEG）测量，并对静息态 EEG 特征与射击表现进行了相关性分析。结果表明，射击表现与β1 波段电极通道 C3 和 T3 的相干性之间存在显著的线性相关（r=0.74，P<4.2×10）。静息态θ波段脑网络的特征路径长度与射击表现之间也存在显著的线性相关（r=0.56，P<0.0005）。本研究确定了成功射击的潜在神经机制，以及一种基于 EEG 特征预测和评估表现的新方法。
