A Case Study on Neural Activity Characteristics in a Shooting Competition

<b>Background</b>: Sexual characteristics in brain neurophysiological activity are a significant area of research in cognitive neuroscience. As a sport that involves minimal physical movement, shooters remain largely stationary during aiming, facilitating the collection of their neural activity compared to athletes in other sports. <b>Objectives</b>: To investigate the neural characteristics of novice shooters of different genders under competitive conditions. <b>Methods</b>: Sixteen subjects participated in a shooting competition following four weeks of training. Electroencephalogram (EEG) data and behavioral data (shooting scores, aiming curves, and pressure curves) were recorded during the competition, and the power spectral density (PSD) and phase-locking value (PLV) network features were extracted to explore further the correlation between the shooting scores and neural activity. <b>Results</b>: In our sample, (1) there were no significant differences in shooting scores between males and females; (2) there were differences in PSD values across the theta, alpha, alpha-2, beta, and gamma frequency bands between males and females; and (3) there were differences in PLV network properties in the theta, alpha, beta, and gamma frequency bands between males and females. Correlation analysis revealed associations between shooting scores and neural activity in male and female novices. <b>Conclusions</b>: The case study demonstrated that males and females exhibited different neural activity characteristics in the shooting competition, providing a foundation for further investigation into the sex differences in neural activity in shooting competition.

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Publication Details

Journal
Brain Sciences
Published
2025-02-10
DOI
https://doi.org/10.3390/brainsci15020174
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

A Case Study on Neural Activity Characteristics in a Shooting Competition

Zijin Li, Meiliang Liu, Zhengye Si, Junhao Huang et al.
Brain Sciences
Neural dynamics and brain function
article

A Case Study on Neural Activity Characteristics in a Shooting Competition

Zijin Li, Meiliang Liu, Zhengye Si, Junhao Huang, Yunfang Xu, Zhiwen Zhao
article en

Abstract

<b>Background</b>: Sexual characteristics in brain neurophysiological activity are a significant area of research in cognitive neuroscience. As a sport that involves minimal physical movement, shooters remain largely stationary during aiming, facilitating the collection of their neural activity compared to athletes in other sports. <b>Objectives</b>: To investigate the neural characteristics of novice shooters of different genders under competitive conditions. <b>Methods</b>: Sixteen subjects participated in a shooting competition following four weeks of training. Electroencephalogram (EEG) data and behavioral data (shooting scores, aiming curves, and pressure curves) were recorded during the competition, and the power spectral density (PSD) and phase-locking value (PLV) network features were extracted to explore further the correlation between the shooting scores and neural activity. <b>Results</b>: In our sample, (1) there were no significant differences in shooting scores between males and females; (2) there were differences in PSD values across the theta, alpha, alpha-2, beta, and gamma frequency bands between males and females; and (3) there were differences in PLV network properties in the theta, alpha, beta, and gamma frequency bands between males and females. Correlation analysis revealed associations between shooting scores and neural activity in male and female novices. <b>Conclusions</b>: The case study demonstrated that males and females exhibited different neural activity characteristics in the shooting competition, providing a foundation for further investigation into the sex differences in neural activity in shooting competition.

Brain SciencesVol. 15(2)
Beijing Normal University (CN)
Beijing Normal University
Gender equality
Openalex Percentile: Top 98%
Neural dynamics and brain function
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