Evidence map›Paper›PMID 33159037›Full record

ArticleTranslational psychiatry2020

Fractionating autism based on neuroanatomical normative modeling.

Mariam Zabihi, Dorothea L Floris, Seyed Mostafa Kia, Thomas Wolfers, Julian Tillmann, Alberto Llera Arenas, Carolin Moessnang, Tobias Banaschewski, Rosemary Holt, Simon Baron-Cohen and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07699159 (Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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.

NCT07699159 recruitingnot on this mapstarted 2025, after this paper: background citation

Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions (CALM): A Master Observational Trial

TypeobservationalSponsorCentre for Addiction and Mental HealthRan2025 to 2028Enrolled1,620ConditionsMultiple Mental Health Conditions, Child Mental Health, Youth Mental Health
3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Normative Modeling of Static and Dynamic Functional Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

19 authors.

Mariam ZabihiDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands. m.zabihi@donders.ru.nl.ORCID http://orcid.org/0000-0002-7083-2318
Dorothea L FlorisDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.
Seyed Mostafa KiaDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0002-7128-814X
Thomas WolfersDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.
Julian TillmannDepartment of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK.
Alberto Llera ArenasDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.
Carolin MoessnangDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-4595-1144
Rosemary HoltAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Eva LothSackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Tony CharmanDepartment of Psychology, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1993-6549
Thomas BourgeronHuman Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France.
Declan MurphySackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-6664-7451
Christine EckerSackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Jan K BuitelaarDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0001-8288-7757
Christian F BeckmannDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.
Andre MarquandDonders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.
EU-AIMS LEAP Group

Funding

Medical Research Council MR/N026063/1Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.156.415Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 864.12.003Wellcome Trust
6 · The paper itself

Abstract

Autism is a complex neurodevelopmental condition with substantial phenotypic, biological, and etiologic heterogeneity. It remains a challenge to identify biomarkers to stratify autism into replicable cognitive or biological subtypes. Here, we aim to introduce a novel methodological framework for parsing neuroanatomical subtypes within a large cohort of individuals with autism. We used cortical thickness (CT) in a large and well-characterized sample of 316 participants with autism (88 female, age mean: 17.2 ± 5.7) and 206 with neurotypical development (79 female, age mean: 17.5 ± 6.1) aged 6-31 years across six sites from the EU-AIMS multi-center Longitudinal European Autism Project. Five biologically based putative subtypes were derived using normative modeling of CT and spectral clustering. Three of these clusters showed relatively widespread decreased CT and two showed relatively increased CT. These subtypes showed morphometric differences from one another, providing a potential explanation for inconsistent case-control findings in autism, and loaded differentially and more strongly onto symptoms and polygenic risk, indicating a dilution of clinical effects across heterogeneous cohorts. Our results provide an important step towards parsing the heterogeneous neurobiology of autism.

Indexed as

Autism Spectrum DisorderAutistic DisorderAdolescentAdultCase-Control StudiesChildFemaleHumansMagnetic Resonance ImagingNeurobiologyYoung Adult

Identifiers

PMID33159037
PMCPMC7648836

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Registered trials

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.