Evidence map›Paper›PMID 40547903›Full record

ArticleFrontiers in human neuroscience2025

Physical activity modulates inhibitory control: EEG insights from P300 and theta oscillations.

Liqing Liu, Yan Hao, Zhihui Zhao, Qing Liu

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Liqing LiuFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Yan HaoFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Zhihui ZhaoFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Qing LiuFaculty of Psychology, Tianjin Normal University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have mainly focused on the effects of exercise on inhibitory control, but the impact of daily physical activity has not been thoroughly examined. This study aims to investigate how physical activity affects inhibitory control functions and the underlying neural mechanisms involved. Methods: We examined 36 adults, divided into two groups based on their daily physical activity levels: a high physical activity level (HPAL) group consisting of 18 participants and a low physical activity level (LPAL) group, also with 18 participants. Physical activity levels were measured using the International Physical Activity Scale. Neural dynamics were recorded through electroencephalography (EEG) as participants performed a modified Flanker task to assess their inhibitory control abilities. Results: Our results indicate that physical activity has a significant impact on inhibitory control. Individuals with high levels of physical activity showed significantly larger P300 amplitudes compared to those in the low physical activity group. Additionally, we observed enhanced theta and alpha oscillatory power in the HPAL group when compared to the LPAL group. Furthermore, we found a positive association between higher levels of physical activity among participants and increased amplitudes of P300 as well as theta oscillations. Discussion: Our findings provide electrophysiological evidence that physical activity strengthens inhibitory control through the enhancement of conflict-related P300 responses and synchronization of prefrontal theta activity, suggesting improved neural efficiency in managing cognitive interference.

Indexed as

amplitudeEEGinhibitory controloscillationsphysical activity

Identifiers

PMID40547903
PMCPMC12179176

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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.