Evidence map›Paper›PMID 42902713›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2026

[Neurophysiological differentiation of children with ADHD alone and ADHD comorbid with dyslexia: a P600-like component analysis].

Yu-Hao Huang, Ke-Duo Huang, Liu-Fang Zhan, Li-Qun Liu, Ling-Juan Liu, Jie Xiong, Kai-Ju Luo, Fang Yang, Xiao-Xiang Gong, Xue-Mei Luo

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yu-Hao HuangDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Ke-Duo Huang
Liu-Fang ZhanDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Li-Qun LiuDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Ling-Juan LiuDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Jie XiongDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Kai-Ju LuoDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Fang YangDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Xiao-Xiang GongDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.
Xue-Mei LuoDepartment of Pediatrics, Second Xiangya Hospital of Central South University, Changsha 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the clinical value of the latency of the P600-like event-related potential component during a spatial N-back task as a neurophysiological indicator for differentiating children with attention deficit hyperactivity disorder (ADHD) alone from those with ADHD comorbid with developmental dyslexia (DD).

methodsIn this prospective study, 66 ADHD children aged 6-10 years were enrolled from the Department of Child Health Care, Second Xiangya Hospital of Central South University between June and September 2025, including 28 with ADHD alone and 38 with ADHD+DD. An additional 20 healthy children were included solely as a visual reference for electroencephalogram (EEG) topographic mapping. Behavioral symptoms were assessed using the SNAP-IV, the Childhood Executive Functioning Inventory, the Conners Child Behavior Scale, and the Dyslexia Checklist for Chinese Children. EEG was recorded during a spatial N-back task, and the P600-like component was extracted from Fz, Cz, and Pz electrodes. A linear mixed model was applied to analyze the interactions among group, electrode site, and task load. Receiver operating characteristic (ROC) curves were used to evaluate discriminative performance, and 5-fold cross-validation was conducted to reduce overfitting risk.

resultsUnder the 1-back condition, the latency of the P600-like component at Pz was significantly longer in the ADHD+DD group than in the ADHD-alone group (

conclusionsThe latency of the P600-like component at the Pz electrode during an N-back task may serve as a neurophysiological indicator to assist in differentiating whether children with ADHD have comorbid DD. A parsimonious model incorporating this indicator has discriminative performance comparable to the full-indicator model, with superior cross-validation stability.

Indexed as

Attention Deficit Disorder with HyperactivityDyslexiaEvoked PotentialsChildElectroencephalographyFemaleHumansMaleProspective StudiesROC CurveAttention deficit hyperactivity disorderChildDyslexiaEvent-related potentialN-back task

Identifiers

PMID42902713
PMCPMC13684098

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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.