Evidence map›Paper›PMID 38539611›Full record

ArticleBrain sciences2024

Characteristics of Resting-State Electroencephalogram Network in α-Band of Table Tennis Athletes.

Jilong Shi, Fatima A Nasrallah, Xuechen Mao, Qin Huang, Jun Pan, Anmin Li

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Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Jilong ShiSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.ORCID 0000-0002-8547-7742
Fatima A NasrallahQueensland Brain Institute, The University of Queensland, Saint Lucia, QLD 4067, Australia.
Xuechen MaoSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Qin HuangSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Jun PanSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Anmin LiSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.

Funding

China Scholarship Council 202108310195National Natural Science Foundation of China 31971023
6 · The paper itself

Abstract

backgroundTable tennis athletes have been extensively studied for their cognitive processing advantages and brain plasticity. However, limited research has focused on the resting-state function of their brains. This study aims to investigate the network characteristics of the resting-state electroencephalogram in table tennis athletes and identify specific brain network biomarkers.

methodsA total of 48 healthy right-handed college students participated in this study, including 24 table tennis athletes and 24 controls with no exercise experience. Electroencephalogram data were collected using a 64-conductive active electrode system during eyes-closed resting conditions. The analysis involved examining the average power spectral density and constructing brain functional networks using the weighted phase-lag index. Network topological characteristics were then calculated.

resultsThe results revealed that table tennis athletes exhibited significantly higher average power spectral density in the α band compared to the control group. Moreover, athletes not only demonstrated stronger functional connections, but they also exhibited enhanced transmission efficiency in the brain network, particularly at the local level. Additionally, a lateralization effect was observed, with more potent interconnected hubs identified in the left hemisphere of the athletes' brain.

conclusionsOur findings imply that the α band may be uniquely associated with table tennis athletes and their motor skills. The brain network characteristics of athletes during the resting state are worth further attention to gain a better understanding of adaptability of and changes in their brains during training and competition.

Indexed as

electroencephalogramnetwork characteristicsresting statetable tennis athleteα-band

Identifiers

PMID38539611
PMCPMC10968381

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