Evidence map›Paper›PMID 39712138›Full record

ArticleCognitive neurodynamics2024

Perceptual information processing in table tennis players: based on top-down hierarchical predictive coding.

Ziyi Peng, Lin Xu, Jie Lian, Xin An, Shufang Chen, Yongcong Shao, Fubing Jiao, Jing Lv

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Ziyi PengSchool of Psychology, Beijing Sport University, Beijing, 100084 China.ORCID 0000-0001-5671-5011
Lin XuSchool of Psychology, Beijing Sport University, Beijing, 100084 China.
Jie LianSchool of Psychology, Beijing Sport University, Beijing, 100084 China.
Xin AnSchool of Psychology, Beijing Sport University, Beijing, 100084 China.
Shufang ChenSchool of Psychology, Beijing Sport University, Beijing, 100084 China.
Yongcong ShaoSchool of Psychology, Beijing Sport University, Beijing, 100084 China.
Fubing JiaoHealth Service Department of the Guard Bureau of the Joint Staff Department, Joint Staff of the Central Military Commission of Chinese PLA, Beijing, 100017 China.
Jing LvDepartment of Psychology, The Second Medical Center, Chinese PLA General Hospital, Beijing, 100039 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term training induces neural plasticity in the visual cognitive processing cortex of table tennis athletes, who perform cognitive processing in a resource-conserving manner. However, further discussion is needed to determine whether the spatial processing advantage of table tennis players manifests in the early stage of sensory input or the late stage of processing. This study aims to explore the processing styles and neural activity characteristics of table tennis players during spatial cognitive processing. Spatial cognitive tasks were completed by 28 college students and 20 s-level table tennis players, and event-related potentials (ERP) data were recorded during the task. The behavioral results showed that the table tennis group performed better on the task than the college students group (control). The ERP results showed that the amplitude of the N1 component of the table tennis group was significantly lower than that of the control group. The amplitude of the P2 and P3 components of the table tennis group was higher than that of the control group. Table tennis players showed significant synergistic activity between electrodes in the β-band. The results of this study suggest that table tennis players significantly deploy attentional resources and cognitive control. Further, they employ stored motor experience to process spatial information in a hierarchical predictive coding manner. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-024-10171-4.

Indexed as

Event-related potentialsFunctional connectionHierarchy predictive codingSpatial cognitionTable tennis player

Identifiers

PMID39712138
PMCPMC11655933

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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.