Evidence map›Paper›PMID 42510759›Full record

ArticleBiology2026

Age-Related Neurodevelopmental Patterns of Visuospatial Attention Deficits in Children and Adolescents with ADHD: ERP Evidence for Late-Stage Cognitive Control Impairment.

Enguo Wang, Xin Zhang, Yimin Ma

Abstract read
In one paragraph

Article in Biology, 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
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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

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

3 authors.

Enguo WangCenter for Mental Health Education and Counseling, Zhengzhou Health College, Zhengzhou 475004, China.
Xin ZhangFaculty of Education, Henan University, Kaifeng 475100, China.
Yimin MaFaculty of Education, Henan University, Kaifeng 475100, China.

Funding

Major Basic Research Project of Philosophy and Social Sciences in Colleges and Universities of Henan Province 2025-JCZD-10
6 · The paper itself

Abstract

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. This study used high-temporal-resolution event-related potentials (ERPs) to investigate visuospatial attention allocation across early perceptual and late cognitive control stages in 62 children and adolescents with ADHD and 62 typically developing (TD) controls (total N = 124), using a dual-task paradigm under a varying cognitive load. Behaviorally, the ADHD group showed significantly lower accuracy and marginally prolonged reaction times relative to TD controls. Electrophysiologically, the P2 component exhibited significant age effects, with shorter latency in the ADHD group than in the TD group under high load. N2 showed no significant group differences. The P3 component displayed significantly enhanced amplitude and prolonged latency in the ADHD group, especially under high load, indicating impaired late-stage cognitive control and working memory maintenance. These findings reveal that high-symptom (ADHD-screened) visuospatial attention deficits are more pronounced during late cognitive control stages; however, early perceptual processing also shows load-dependent alterations, with P3 abnormalities may represent candidate neural correlates of late-stage cognitive control deficits, although their clinical utility requires further evaluation. These results clarify the age-related patterns of attentional dysfunction in children and adolescents with ADHD and provide electrophysiological evidence for its neural mechanisms.

Indexed as

ADHDcognitive loadcross-sectional age differencesevent-related potential (ERP)executive controlP3visuospatial attention

Identifiers

PMID42510759
PMCPMC13405736

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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.