Evidence map›Paper›PMID 31509248›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2020

Data-driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders.

Chandan J Vaidya, Xiaozhen You, Stewart Mostofsky, Francisco Pereira, Madison M Berl, Lauren Kenworthy

Abstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Executive function challenges persist into young adulthood and predict mental health outcomes in autism.Journal of child psychology and psychiatry, and allied disciplines · 2026
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  5. Review
  6. [Formula: see text] Data-driven profiles of behavior in pediatric medical disorders.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2026
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  7. Identifying Neurodevelopmental Domain Subgroups in Autism and ADHD.Journal of autism and developmental disorders · 2026
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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

6 authors.

Chandan J VaidyaDepartment of Psychology, Georgetown University, Washington, DC, USA.
Xiaozhen YouChildren's Research Institute, Children's National Health System, Washington, DC, USA.
Stewart MostofskyCenter for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA.
Francisco PereiraMachine Learning Team, National Institute of Mental Health, Bethesda, MD, USA.
Madison M BerlChildren's Research Institute, Children's National Health System, Washington, DC, USA.
Lauren KenworthyChildren's Research Institute, Children's National Health System, Washington, DC, USA.

Funding

Multimodal Developmental Neurogenetics of Females with ASDR01MH100028 · NIMH · YALE UNIVERSITY · PI Allison Elizabeth Jack, LAUREN KENWORTHY · 2012 to 2026
$37.8M
NEUROIMAGING COREP30HD040677 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2001 to 2015
$15.9M
Neurology of Deficient Response Control in ADHDR01MH085328 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MOSTOFSKY, STEWART H · 2009 to 2019
$7.3M
Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI JAISWAL, JYOTI K · 2016 to 2020
$5.9M
Anomalous Motor Physiology In ADHDR01MH078160 · NIMH · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MOSTOFSKY, STEWART H · 2006 to 2024
$5.8M
Motor Skill Learning in AutismR01NS048527 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MOSTOFSKY, STEWART H · 2005 to 2012
$2.9M
Characterization of executive function dimensions across pediatric psychiatric disordersR01MH110512 · NIMH · GEORGETOWN UNIVERSITY · PI KENWORTHY, LAUREN, VAIDYA, CHANDAN J · 2016 to 2021
$2.2M
Neuroimaging of Top-Down Control and Bottom-Up Processes in Childhood ASDR01MH084961 · NIMH · GEORGETOWN UNIVERSITY · PI VAIDYA, CHANDAN J · 2009 to 2013
$2.1M
Integrating brain imaging and genetic analysis of ADHDR01MH065395 · NIMH · GEORGETOWN UNIVERSITY · PI VAIDYA, CHANDAN J · 2003 to 2007
$1.6M
NICHD NIH HHS P30 HD040677NICHD NIH HHS U54 HD090257NIMH NIH HHS R01 MH065395NIMH NIH HHS R01 MH078160NIMH NIH HHS R01 MH084961NIMH NIH HHS R01 MH085328NIMH NIH HHS R01 MH100028NIMH NIH HHS R01 MH110512NINDS NIH HHS R01 NS048527
6 · The paper itself

Abstract

backgroundImpairment of executive function (EF), the goal-directed regulation of thoughts, actions, and emotions, drives negative outcomes and is common across neurodevelopmental disorders including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). A primary challenge to its amelioration is heterogeneity in symptom expression within and across disorders. Parsing this heterogeneity is necessary to attain diagnostic precision, a goal of the NIMH Research Domain Criteria Initiative. We aimed to identify transdiagnostic subtypes of EF that span the normal to impaired spectrum and establish their predictive and neurobiological validity.

methodsCommunity detection was applied to clinical parent-report measures in 8-14-year-old children with and without ADHD and ASD from two independent cohorts (discovery N = 320; replication N = 692) to identify subgroups with distinct behavioral profiles. Support vector machine (SVM) classification was used to predict subgroup membership of unseen cases. Preliminary neurobiological validation was obtained with existing functional magnetic resonance imaging (fMRI) data on a subsample (N = 84) by testing hypotheses about sensitivity of EF subgroups versus DSM categories.

resultsWe observed three transdiagnostic EF subtypes characterized by behavioral profiles that were defined by relative weakness in: (a) flexibility and emotion regulation; (b) inhibition; and (c) working memory, organization, and planning. The same tripartite structure was also present in the typically developing children. SVM trained on the discovery sample and tested on the replication sample classified subgroup membership with 77.0% accuracy. Split-half SVM classification on the combined sample (N = 1,012) yielded 88.9% accuracy (this SVM is available for public use). As hypothesized, frontal-parietal engagement was better distinguished by EF subtype than DSM diagnosis and the subgroup characterized with inflexibility failed to modulate right IPL activation in response to increased executive demands.

conclusionsThe observed transdiagnostic subtypes refine current diagnostic nosology and augment clinical decision-making for personalizing treatment of executive dysfunction in children.

Indexed as

Inhibition, PsychologicalAdolescentAdolescent DevelopmentAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderChildChild DevelopmentCognitive DysfunctionCohort StudiesEmotional RegulationExecutive FunctionFemaleFunctional NeuroimagingHumansIndividualityMachine LearningAttention deficit hyperactivity disorderautism spectrum disordersfunctional MRI (fMRI)individual differencesmachine learning

Identifiers

PMID31509248
PMCPMC6906253

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.