Evidence map›Paper›PMID 38854066›Full record

ArticlebioRxiv : the preprint server for biology2024

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

7 authors.

Zhiyao GaoDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-8909-8096
Katherine DubergDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-4358-9137
Stacie L WarrenDepartment of Psychology, University of Texas, Dallas, TX, USA.ORCID 0000-0002-6096-5950
Li ZhengDepartment of Psychology, University of Arizona, Tucson, AZ, USA.ORCID 0000-0002-9358-4353
Stephen P HinshawDepartment of Psychology, University of California, Berkeley.ORCID 0000-0001-6497-1082
Vinod MenonDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1622-9857
Weidong CaiDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.

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 explores the neural underpinnings of cognitive control deficits in ADHD, focusing on overlooked aspects of trial-level variability of neural coding. We employed a novel computational approach to neural decoding on a single-trial basis alongside a cued stop-signal task which allowed us to distinctly probe both proactive and reactive cognitive control. Typically developing (TD) children exhibited stable neural response patterns for efficient proactive and reactive dual control mechanisms. However, neural coding was compromised in children with ADHD. Children with ADHD showed increased temporal variability and diminished spatial stability in neural responses in salience and frontal-parietal network regions, indicating disrupted neural coding during both proactive and reactive control. Moreover, this variability correlated with fluctuating task performance and with more severe symptoms of ADHD. These findings underscore the significance of modeling single-trial variability and representational similarity in understanding distinct components of cognitive control in ADHD, highlighting new perspectives on neurocognitive dysfunction in psychiatric disorders.

Indexed as

ADHDproactive controlreactive controlrepresentational similarity analysisstabilityvariability

Identifiers

PMID38854066
PMCPMC11160739

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.