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心理生理参数预测新手在运动射击训练中的表现。

Psychophysiological Parameters Predict the Performance of Naive Subjects in Sport Shooting Training.

机构信息

Baltic Center of Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia.

Neuroscience and Cognitive Technology Laboratory, Innopolis University, Kazan 420500, Russia.

出版信息

Sensors (Basel). 2023 Mar 16;23(6):3160. doi: 10.3390/s23063160.

DOI:10.3390/s23063160
PMID:36991871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054378/
Abstract

In this study, we investigated the neural and behavioral mechanisms associated with precision visual-motor control during the learning of sport shooting. We developed an experimental paradigm adapted for naïve individuals and a multisensory experimental paradigm. We showed that in the proposed experimental paradigms, subjects trained well and significantly increased their accuracy. We also identified several psycho-physiological parameters that were associated with shooting outcomes, including EEG biomarkers. In particular, we observed an increase in head-averaged delta and right temporal alpha EEG power before missing shots, as well as a negative correlation between theta-band energies in the frontal and central brain regions and shooting success. Our findings suggest that the multimodal analysis approach has the potential to be highly informative in studying the complex processes involved in visual-motor control learning and may be useful for optimizing training processes.

摘要

在这项研究中,我们调查了与运动射击学习过程中的精确视觉运动控制相关的神经和行为机制。我们开发了一种适用于新手的实验范式和一种多感觉实验范式。我们表明,在所提出的实验范式中,受试者训练良好,准确性显著提高。我们还确定了几个与射击结果相关的心理生理参数,包括 EEG 生物标志物。特别是,我们观察到在错过射门之前,头部平均 delta 和右颞 alpha EEG 功率增加,以及额中和中央脑区 theta 波段能量与射击成功之间的负相关。我们的研究结果表明,多模态分析方法在研究视觉运动控制学习中涉及的复杂过程方面具有很高的信息性,并且可能有助于优化训练过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/20da734abe7b/sensors-23-03160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/2d3a42d0ffcd/sensors-23-03160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/6f316f7fcb41/sensors-23-03160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/20da734abe7b/sensors-23-03160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/2d3a42d0ffcd/sensors-23-03160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/6f316f7fcb41/sensors-23-03160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/643a/10054378/20da734abe7b/sensors-23-03160-g003.jpg

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J Exerc Sci Fit. 2022 Jul;20(3):206-215. doi: 10.1016/j.jesf.2022.04.001. Epub 2022 Apr 6.
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Psychophysiological Markers of Performance and Learning during Simulated Marksmanship in Immersive Virtual Reality.
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J Cogn Neurosci. 2021 Jun 1;33(7):1253-1270. doi: 10.1162/jocn_a_01713.
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NeuroKit2: A Python toolbox for neurophysiological signal processing.NeuroKit2:一个用于神经生理信号处理的 Python 工具包。
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