Cited by 502Attention Deficit Hyperactivity DisorderAutism Spectrum Disorder ResearchDevelopmental and Educational Neuropsychology

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index; 9 of the 25 sources its claims cite were checked for support.

Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD

Open access
Fair, Damien A., Bathula, Deepti, Nikolas, Molly A., Nigg, Joel T.·2012·Proceedings of the National Academy of Sciences

Abstract

Research and clinical investigations in psychiatry largely rely on the de facto assumption that the diagnostic categories identified in the Diagnostic and Statistical Manual (DSM) represent homogeneous syndromes. However, the mechanistic heterogeneity that potentially underlies the existing classification scheme might limit discovery of etiology for most developmental psychiatric disorders. Another, perhaps less palpable, reality may also be interfering with progress-heterogeneity in typically developing populations. In this report we attempt to clarify neuropsychological heterogeneity in a large dataset of typically developing youth and youth with attention deficit/hyperactivity disorder (ADHD), using graph theory and community detection. We sought to determine whether data-driven neuropsychological subtypes could be discerned in children with and without the disorder. Because individual classification is the sine qua non for eventual clinical translation, we also apply support vector machine-based multivariate pattern analysis to identify how well ADHD status in individual children can be identified as defined by the community detection delineated subtypes. The analysis yielded several unique, but similar subtypes across both populations. Just as importantly, comparing typically developing children with ADHD children within each of these distinct subgroups increased diagnostic accuracy. Two important principles were identified that have the potential to advance our understanding of typical development and developmental neuropsychiatric disorders. The first tenet suggests that typically developing children can be classified into distinct neuropsychological subgroups with high precision. The second tenet proposes that some of the heterogeneity in individuals with ADHD might be "nested" in this normal variation.

Overview

Integrity signals

Registry

Crossref · 10.1073/pnas.1115365109

Cites

59 of 59 references verified0 citation errors · 0 not checkable

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Claims the paper makes

32 Own result · 12 Own interpretation · 6 No full text of the sources · 4 Partly supported · 4 Own method · 3 Supported · 2 Not checked yet · 1 Supported so far · 1 Sources not found · accuracy not yet measured

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  • It may state two separate claims as one. 17
  • Probably not a substantial claim. 13
25 of 25
  • The paper relies on this without support.

    The 498 children in the dataset are representative of typically developing youth and youth with ADHD.

    “For the current investigation we apply community detection to a well-characterized dataset of 498 children who include both typically developing control youth (TDC) (n = 213) and youth with ADHD (n = 285) (Table S1).”
  • The paper relies on this without support.

    The 20 neuropsychological measures used are valid indicators of the cognitive functions they are intended to assess.

    “From these youth, some 20 neuropsychological measures were obtained that were intended to cover a wide domain of cognitive functions variously theorized to be involved in ADHD (Table S2 and Fig. 2).”
  • The paper relies on this without support.

    The typically developing and ADHD cohorts studied are representative of their respective populations, so that the observed subgroups reflect the broader population's neuropsychological variation.

    “Children who completed a full research psychiatric evaluation aged 6-17 y participated in this study (TDC, n = 213; ADHD, n = 285) (SI Text).”
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Metadata

Authors
Fair, D. A., Bathula, D., Nikolas, M. A., & Nigg, J. T.
Affiliations
  • Oregon Health & Science University (US)
  • Indian Institute of Technology Ropar (IN)
  • University of Iowa (US)
Venue
Proceedings of the National Academy of Sciences
Published
2012-04-02
Volume
109
Issue
17
Pages
6769-6774
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2136530770
Cited by
464
References
54
Citations by year
2026: 17 · 2025: 25 · 2024: 29 · 2023: 23 · 2022: 36 · 2021: 30 · 2020: 34 · 2019: 41 · 2018: 40 · 2017: 41 · 2016: 43 · 2015: 36 · 2014: 35 · 2013: 21 · 2012: 13
FWCI
23.86
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (UL1TR000128)
  • Oregon Clinical and Translational Research Institute
  • National Institute of Mental Health (R00MH091238, R01MH096773, R01MH059105, R01MH086654)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
Keywords
attention deficit hyperactivity disorder, typically developing children, developmental heterogeneity, community detection, graph theory, multivariate pattern analysis, support vector machine, diagnostic classification
MeSH terms
Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Cognition, Humans, Neuropsychological Tests, Cohort Studies

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