Evidence map›Paper›PMID 35650452›Full record

ReviewNature protocols2022

The normative modeling framework for computational psychiatry.

Saige Rutherford, Seyed Mostafa Kia, Thomas Wolfers, Charlotte Fraza, Mariam Zabihi, Richard Dinga, Pierre Berthet, Amanda Worker, Serena Verdi, Henricus G Ruhe and 2 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06396520 (Neuroimaging of Babies During Natural Sleep to Assess Typical Development and Cerebral Palsy), which is not on this map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing 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.

NCT06396520 recruitingnot on this mapstarted 2024, after this paper: background citation

Neuroimaging of Babies During Natural Sleep to Assess Typical Development and Cerebral Palsy

TypeobservationalSponsorDanish Research Centre for Magnetic ResonanceRan2024 to 2027Enrolled200ConditionsCerebral Palsy, Infant Development, Development, InfantArmsNo intervention, observational
3 · Its place in the literature

Who cites it

156 citing papers in PubMed.

  1. Trial
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  8. Multiscale Heterogeneity of White Matter Morphometry in Psychiatric Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
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  12. Article
  13. Article
  14. Review
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  19. Article
  20. Article

96 more citing papers are in PubMed but not listed here.

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

12 authors.

Saige RutherfordDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands. saige.rutherford@donders.ru.nl.ORCID http://orcid.org/0000-0003-3006-9044
Seyed Mostafa KiaDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.
Thomas WolfersDepartment of Psychology, University of Oslo, Oslo, Norway.
Charlotte FrazaDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.
Mariam ZabihiDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.
Richard DingaDonders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.
Pierre BerthetDepartment of Psychology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-6878-6842
Amanda WorkerDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Serena VerdiCentre for Medical Image Computing, Medical Physics and Biomedical Engineering, University College London, London, UK.
Henricus G Ruhe *Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.ORCID http://orcid.org/0000-0001-6072-0358
Christian F Beckmann *Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.
Andre F Marquand *Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands.

Funding

European Research Council 101001118Wellcome Trust 098369/Z/12/ZWellcome Trust 215698Wellcome Trust 215698/Z/19/ZZonMw 91716415
6 · The paper itself

Abstract

Normative modeling is an emerging and innovative framework for mapping individual differences at the level of a single subject or observation in relation to a reference model. It involves charting centiles of variation across a population in terms of mappings between biology and behavior, which can then be used to make statistical inferences at the level of the individual. The fields of computational psychiatry and clinical neuroscience have been slow to transition away from patient versus 'healthy' control analytic approaches, probably owing to a lack of tools designed to properly model biological heterogeneity of mental disorders. Normative modeling provides a solution to address this issue and moves analysis away from case-control comparisons that rely on potentially noisy clinical labels. Here we define a standardized protocol to guide users through, from start to finish, normative modeling analysis using the Predictive Clinical Neuroscience toolkit (PCNtoolkit). We describe the input data selection process, provide intuition behind the various modeling choices and conclude by demonstrating several examples of downstream analyses that the normative model may facilitate, such as stratification of high-risk individuals, subtyping and behavioral predictive modeling. The protocol takes ~1-3 h to complete.

Indexed as

Mental DisordersNeurosciencesPsychiatryCase-Control StudiesComputational BiologyHumans

Identifiers

PMID35650452
PMCPMC7613648

What OpenQuestion holds

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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.