上海女子气手枪运动员击发和收枪时脑电相干性分析

Analysis of Electroencephalographic Coherence during the Periods of Firing and Pistol Withdrawal of Shanghai Women

投稿时间：2016-09-16

DOI：

英文关键词:air-pistol athlete EEG coherence

基金项目:上海市科委资助项目（14232302100）

作者	单位	E-mail
安燕	上海体育科学研究所	anyan198320@163.com
郑樊慧	上海体育科学研究所	zhengfanhui@hotmail.com

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中文摘要:

通过脑电相干性分析，探讨运动员射击中击发和收枪两种不同运动表现时各脑区间的沟通差异。采用64导脑电测试系统记录12名女子气手枪运动员击发与收枪时的脑电，将两种不同表现击发前的脑电分为4个时间段（每段1 000 ms），分别计算低-alpha频段（8~10 Hz）、高-alpha频段（11~13 Hz）、低-beta频段（14~22 Hz ）中前额区（Fz）与其他脑区间(额区、中央区、顶区、枕区和颞区)的相干性。结果发现，在低-alpha频段，与收枪时相比，运动员击发时大脑信息沟通较少，表明击发时运动员只需要较低的皮层唤醒和注意努力。左脑脑波相干性显著低于右脑，表明大脑半球不同功能体现在了运动员射击过程中，运动员射击时右半球交流多，注意力转移以视觉空间为主。不同表现过程中不同时间点显示了不同高低的脑波相干性，故推断稳定的大脑皮质活动与较好的运动表现有关。

英文摘要:

The aim of this study is to examine electroencephalographic (EEG) coherence to determine the communication difference between the different encephalic regions of pistol athletes during the periods of firing and pistol withdrawal. EEG testing system(64 channels) was used to record the electroencephalogram of 12 women pistol athletes during the processes of firing and pistol withdrawal. The electroencephalogram was divided into 4 periods (each period 1000ms). The coherence between the prefrontal area and other brain areas (forehead area, central area, occipital area and temporal area) at the frequency range of low-alpha (8-10 Hz), high-alpha (11-13Hz) and low-beta (14-22Hz) was calculated. The result shows that at the low-alpha, the athlete has less brain information communication when firing, compared to that at the period of pistol withdrawal. This means that athlete only needs lower cortex awakening and attention effort at the period of firing. The left brain waves coherence is apparently lower than that of the right hemisphere, which shows that the different functions of the brain hemispheres can be seen in the process of athlete's firing. In the course of shooting, athlete's right brain hemisphere has more communication and attention shift gives priority to visual space. Different brain wave coherence can be detected in the different movement process at the different time point. So we can deduce that stable cerebral cortex activity correlates with better performance.

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