Evidence map›Paper›PMID 39452029›Full record

ArticleBrain sciences2024

Differential Resting-State Brain Characteristics of Skeleton Athletes and Non-Athletes: A Preliminary Resting-State fMRI Study.

Xinhong Jin, Shuying Chen, Yapeng Qi, Qichen Zhou, Jian Wang, Yingying Wang, Chenglin Zhou

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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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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinhong JinKey Laboratory of Exercise and Health Sciences, Shanghai University of Sport, Ministry of Education, Shanghai 200438, China.
Shuying ChenSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Yapeng QiSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Qichen ZhouSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Jian WangSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.
Yingying WangSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.ORCID 0000-0002-9242-9861
Chenglin ZhouSchool of Psychology, Shanghai University of Sport, Shanghai 200438, China.

Funding

Shanghai Pujiang Program 22PJC095the Key Laboratory of Exercise and Health Sciences (Shanghai University of Sport), Ministry of Education Open Fund 2022KF0004the National Natural Science Foundation of China No. 32371129, 32300914
6 · The paper itself

Abstract

(1) Background: This study investigates the resting-state brain characteristics of skeleton athletes compared to healthy age-matched non-athletes, using resting-state fMRI to investigate long-term skeleton-training-related changes in the brain. (2) Methods: Eleven skeleton athletes and twenty-three matched novices with no prior experience with skeleton were recruited. Amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity analyses were explored to investigate resting-state functional magnetic resonance imaging (rs-fMRI) data, aiming to elucidate differences in resting-state brain function between the two groups. (3) Results: Compared to the control group, skeleton athletes exhibited significantly higher ALFF in the left fusiform, left inferior temporal gyrus, right inferior frontal gyrus, left middle temporal gyrus, left and right insula, left Rolandic operculum, left inferior frontal gyrus, and left superior temporal gyrus. Skeleton athletes exhibit stronger functional connectivity in brain regions associated with cognitive and motor control (superior frontal gyrus, insula), as well as those related to reward learning (putamen), visual processing (precuneus), spatial cognition (inferior parietal), and emotional processing (amygdala), during resting-state brain function. (4) Conclusions: The study contributes to understanding how motor training history shapes skeleton athletes' brains, which have distinct neural characteristics compared to the control population, indicating potential adaptations in brain function related to their specialized training and expertise in the sport.

Indexed as

amplitude of low-frequency fluctuationfunctional connectivityneural plasticityresting-state fMRIskeleton athlete

Identifiers

PMID39452029
PMCPMC11506713

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.