Evidence map›Paper›PMID 39807130›Full record

ArticleInternational journal of exercise science2024

Distinct Visual Processing Patterns in Female Elite Athletes: A Comparative Study of Gymnastics, Soccer, and Esports Using Visual P300 Event-Related Potentials.

Papatsorn Ramyarangsi, Simon J Bennett, Vorasith Siripornpanich, Ampika Nanbancha, Akachai Pokaisasawan, Prapan Noppongsakit, Amornpan Ajjimaporn

Abstract read
In one paragraph

Article in International journal of exercise science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Papatsorn RamyarangsiCollege of Sports Science and Technology, Mahidol University, Salaya, Nakhonpathom, THAILAND.
Simon J BennettResearch Institute for Sport and Exercise Sciences, Faculty of Science, Liverpool John Moores University, Liverpool, UNITED KINGDOM.
Vorasith SiripornpanichResearch Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom, THAILAND.
Ampika NanbanchaCollege of Sports Science and Technology, Mahidol University, Salaya, Nakhonpathom, THAILAND.
Akachai PokaisasawanFaculty of Optometry, Rangsit University, Pathum Thani, THAILAND.
Prapan NoppongsakitFaculty of Education, Siam Technology College, Bangkok, THAILAND.
Amornpan AjjimapornCollege of Sports Science and Technology, Mahidol University, Salaya, Nakhonpathom, THAILAND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual processing is crucial for sports performance, influencing athletes' ability to interpret and respond to visual stimuli. This study investigated distinct visual processing patterns among Thai elite athletes in gymnastics, soccer, and esports, utilizing visual P300 event-related potentials (P300 ERPs). Forty-two female athletes (14 gymnasts, 14 soccer players, and 14 esports athletes) participated. Visual P300 ERP responses were stimulated using the visual oddball paradigm. One-way ANOVA was employed to assess significant differences among the groups in P300 ERPs data, including amplitude and latency of waveforms, response time, and accuracy rate. Significant differences were found across the groups in various parameters. Esports athletes exhibited longer P300 ERP latencies at the frontal electrode sites compared to gymnasts (

Indexed as

Sport-specific adaptationsvisual attentionvisual P300 ERPs

Identifiers

PMID39807130
PMCPMC11728593

What OpenQuestion holds

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Registered trials

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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.