Abstract

It is not only difficult to be a sports expert but also difficult to grow from a sports expert to a sports elite. Professional athletes are often concerned about the differences between an expert and an elite and how to eventually become an elite athlete. To explore the differences in brain neural mechanism between experts and elites in the process of motor behavior and reveal the internal connection between motor performance and brain activity, we collected and analyzed the electroencephalography (EEG) findings of 14 national archers and 14 provincial archers during aiming and resting states and constructed the EEG brain network of the two archer groups based on weighted phase lag index; the graph theory was used to analyze and compare the network characteristics via local network and global network topologies. The results showed that compared with the expert archers, the elite archers had stronger functional coupling in beta1 and beta2 bands, and the difference was evident in the frontal and central regions; in terms of global characteristics of brain network topology, the average clustering coefficient and global efficiency of elite archers were significantly higher than that of expert archers, and the eigenvector centrality of expert archers was higher; for local characteristics, elite archers had higher local efficient; and the brain network characteristics of expert archers showed a strong correlation with archery performance. This suggests that compared with expert archers, elite archers showed stronger functional coupling, higher integration efficiency of global and local information, and more independent performance in the archery process. These findings reveal the differences in brain electrical network topologies between elite and expert archers in the archery preparation stage, which is expected to provide theoretical reference for further training and promotion of professional athletes.

Highlights

  • Exploring the physiological mechanism underlying exercise behavior execution is an important research topic in sports science (Gong et al, 2020)

  • Before examining the functional coupling and topological characteristics of EEG, we first studied the differences in archery behavior indicators with respect to individual alpha frequency (IAF) between the two archer groups

  • By comparing the average weighted phase lag index (WPLI) connection strength of the two archer groups in the three-time windows of Figure 3B, no significance was shown in theta, alpha1, and alpha2 frequency bands, we found that the average coupling values of the expert archers tend to be higher than those of elite archers in the theta and alpha1 bands, whereas the opposite results were found in the alpha2, beta1, and beta2 bands

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Summary

Introduction

Exploring the physiological mechanism underlying exercise behavior execution is an important research topic in sports science (Gong et al, 2020). Gong et al analyzed the brain activity of 40 skilled shooters using the phase-locking value (PLV)based functional connection values and complex networks They found that shooters with higher performance showed lower functional coupling and higher global and local information integration efficiency during firing (Gong et al, 2018). Zhang et al (2021) compared the EEG and ECG characteristics of 11 national-level archers under competitive shooting and noncompetitive shooting tasks They found that the theta power in occipital regions, alpha power in frontal-central and left occipital regions, and beta power in frontal and mid-occipital regions in the competitive state were significantly higher than those in the corresponding regions in the non-competitive state (Zhang et al, 2021)

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