Evidence map›Paper›PMID 42111577›Full record

SynthesisFrontiers in psychology2026

Electroencephalography in motor decision-making: a scoping review in athletes.

Zidong Huang, Weiyue Xue, Andong Ding, Xiaozhuo Wei

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zidong HuangSchool of Physical Education, Jiangsu University of Science and Technology, Zhenjiang, China.
Weiyue XueSchool of Physical Education, Yangzhou University, Yangzhou, China.
Andong DingSchool of Naval Architecture & Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Xiaozhuo WeiSchool of Physical Education, Jiangsu University of Science and Technology, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The application of electroencephalography to investigate the neural mechanisms of motor decision-making in athletes is a rapidly evolving field. However, significant heterogeneity in experimental paradigms, neural metrics, and sample definitions currently hampers theoretical synthesis and practical translation. Methods: This study conducted a systematic scoping review following the PRISMA-ScR guidelines. Literature inclusion was strictly governed by the population-concept-context framework, focusing on athletic populations. Results: Based on 29 studies, we propose a three-level cognitive hierarchy model that abstracts motor decision-making into internal planning, external perception, and response inhibition. We show that expert advantage comes from dynamically contextually optimized neural resources, not a single "neural efficiency" profile. We also identify fundamental tension between ecological validity and methodological validity of the current evidence. Discussion: To bridge the gap from neural correlates to behavioral intervention, we further propose a bio-computational "assessment-to-intervention" pipeline. This pipeline integrates sensitive neural markers, computational cognitive modeling, and personalized intervention, aiming to provide an actionable framework for neuroscience-informed precision cognitive training in sports. This review not only offers a unified theoretical lens for understanding motor decision-making but also charts a concrete translational pathway for its future application.

Indexed as

cognitive hierarchy frameworkelectroencephalographymotor decision-makingneural efficiencyscoping review

Identifiers

PMID42111577
PMCPMC13153101

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.