Evidence map›Paper›PMID 40057478›Full record

ArticleNature communications2025

Reduced temporal and spatial stability of neural activity patterns predict cognitive control deficits in children with ADHD.

Zhiyao Gao, Katherine Duberg, Stacie L Warren, Li Zheng, Stephen P Hinshaw, Vinod Menon, Weidong Cai

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The Impact of ADHD on Children's Language Development.Children (Basel, Switzerland) · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Zhiyao GaoDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. zygao@stanford.edu.ORCID http://orcid.org/0000-0002-8909-8096
Katherine DubergDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Stacie L WarrenDepartment of Psychology, University of Texas, Dallas, TX, USA.ORCID http://orcid.org/0000-0002-6096-5950
Li ZhengDepartment of Psychology, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0002-9358-4353
Stephen P HinshawDepartment of Psychology, University of California, Berkeley, CA, USA.
Vinod MenonDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. menon@stanford.edu.ORCID http://orcid.org/0000-0003-1622-9857
Weidong CaiDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. wdcai@stanford.edu.ORCID http://orcid.org/0000-0001-9581-7774

Funding

Integrative computational models of latent behavioral and neural constructs in children: a longitudinal developmental big-data approachR01MH121069 · NIMH · STANFORD UNIVERSITY · PI MENON, VINOD · 2019 to 2023
$3.9M
Methods for Dynamic Causal Interactions in Human Brain Function and DysfunctionR01NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2014 to 2025
$3.9M
An integrative framework of cognitive control and reward modulation in children with ADHD: from brain dynamics to clinical symptomsR01MH124816 · NIMH · STANFORD UNIVERSITY · PI CAI, WEIDONG · 2021 to 2025
$3.7M
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's diseaseRF1NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2021 to 2021
$2.0M
Novel Bayesian linear dynamical systems-based methods for discovering human brain circuit dynamics in health and diseaseR01EB022907 · NIBIB · STANFORD UNIVERSITY · PI MENON, VINOD · 2016 to 2018
$1.6M
Dynamic Brain Mechanisms of Proactive and Reactive Control in Childhood ADHDK01MH105625 · NIMH · STANFORD UNIVERSITY · PI CAI, WEIDONG · 2015 to 2018
$676k
NIBIB NIH HHS R01 EB022907NIMH NIH HHS K01 MH105625NIMH NIH HHS R01 MH121069NIMH NIH HHS R01 MH124816NINDS NIH HHS R01 NS086085NINDS NIH HHS RF1 NS086085
6 · The paper itself

Abstract

This study investigates the neural underpinnings of cognitive control deficits in attention-deficit/hyperactivity disorder (ADHD), focusing on trial-level variability of neural coding. Using fMRI, we apply a computational approach to single-trial neural decoding on a cued stop-signal task, probing proactive and reactive control within the dual control model. Reactive control involves suppressing an automatic response when interference is detected, and proactive control involves implementing preparatory strategies based on prior information. In contrast to typically developing children (TD), children with ADHD show disrupted neural coding during both proactive and reactive control, characterized by increased temporal variability and diminished spatial stability in neural responses in salience and frontal-parietal network regions. This variability correlates with fluctuating task performance and ADHD symptoms. Additionally, children with ADHD exhibit more heterogeneous neural response patterns across individuals compared to TD children. Our findings underscore the significance of modeling trial-wise neural variability in understanding cognitive control deficits in ADHD.

Indexed as

Attention Deficit Disorder with HyperactivityBrainCognitionAdolescentBrain MappingChildFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID40057478
PMCPMC11890578

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.