Evidence map›Paper›PMID 36009079›Full record

ArticleBrain sciences2022

Research on Top Archer's EEG Microstates and Source Analysis in Different States.

Feng Gu, Anmin Gong, Yi Qu, Hui Xiao, Jin Wu, Wenya Nan, Changhao Jiang, Yunfa Fu

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Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Feng GuSchool of Information Engineering, Engineering University of People's Armed Police, Xi'an 710086, China.
Anmin GongSchool of Information Engineering, Engineering University of People's Armed Police, Xi'an 710086, China.
Yi QuSchool of Information Engineering, Engineering University of People's Armed Police, Xi'an 710086, China.
Hui XiaoSchool of Military Basic Education, Engineering University of People's Armed Police, Xi'an 710086, China.
Jin WuDepartment of Physical Education, Beijing City University, Beijing 100094, China.
Wenya NanDepartment of Psychology, College of Education, Shanghai Normal University, Shanghai 201418, China.
Changhao JiangKey Laboratory of Sports Performance Evaluation and Technical Analysis, Capital Institute of Physical Education, Beijing 100088, China.
Yunfa FuSchool of Automation and Information Engineering, Kunming University of Science and Technology, Kunming 650032, China.

Funding

Beijing Natural Science Foundation of China 5212002Deepening project of scientific research and training program for college students of Beijing Education Commission 2019Ministry of Education of Humanities and Social Science Research 19YJC190018National Natural Science Foundation of China 62006246National Natural Science Foundation of China 81901830, 81771926, 61763022, 81470084, 61463024, 31771244Research Fund of Beijing Institute of Sports Science 2017
6 · The paper itself

Abstract

The electroencephalograph (EEG) microstate is a method used to describe the characteristics of the EEG signal through the brain scalp electrode potential's spatial distribution; as such, it reflects the changes in the brain's functional state. The EEGs of 13 elite archers from China's national archery team and 13 expert archers from China's provincial archery team were recorded under the alpha rhythm during the resting state (with closed eyes) and during archery aiming. By analyzing the differences between the EEG microstate parameters and the correlation between these parameters with archery performance, as well as by combining our findings through standardized low-resolution brain electromagnetic tomography source analysis (sLORETA), we explored the changes in the neural activity of professional archers of different levels, under different states. The results of the resting state study demonstrated that the duration, occurrence, and coverage in microstate D of elite archers were significantly higher than those of expert archers and that their other microstates had the greatest probability of transferring to microstate D. During the archery aiming state, the average transition probability of the other microstates transferring to microstate in the left temporal region was the highest observed in the two groups of archers. Moreover, there was a significant negative correlation between the duration and coverage of microstates in the frontal region of elite archers and their archery performance. Our findings indicate that elite archers are more active in the dorsal attention system and demonstrate a higher neural efficiency during the resting state. When aiming, professional archers experience an activation of brain regions associated with archery by suppressing brain regions unrelated to archery tasks. These findings provide a novel theoretical basis for the study of EEG microstate dynamics in archery and related cognitive motor tasks, particularly from the perspective of the subject's mental state.

Indexed as

alpha rhythmarcheryEEG microstateelite archerresting state networkssLORETA

Identifiers

PMID36009079
PMCPMC9405655

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