Evidence map›Paper›PMID 38168718›Full record

ArticleChild psychiatry and human development2025

Assessing Theory of Mind in Children: A Tablet-Based Adaptation of a Classic Picture Sequencing Task.

Nicolas Petit, Ira Noveck, Matias Baltazar, Jérôme Prado

Abstract read
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In one paragraph

Article in Child psychiatry and human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Some (but not all) Pragmatic Inferences are Difficult for Autistic Children.Journal of autism and developmental disorders · 2026
    Article
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

4 authors.

Nicolas PetitLe Vinatier Psychiatrie Universitaire, Lyon Métropole, France. npetit.ortho@gmail.com.ORCID https://orcid.org/0000-0002-9910-2706
Ira NoveckLaboratoire de Linguistique Formelle (LLF), Paris, France.ORCID https://orcid.org/0000-0002-3401-9629
Matias BaltazarLe Vinatier Psychiatrie Universitaire, Lyon Métropole, France.ORCID https://orcid.org/0000-0002-5077-9601
Jérôme PradoCentre de Recherche en Neurosciences de Lyon (CRNL), Lyon, France.ORCID https://orcid.org/0000-0003-3548-5610

Funding

Ministère des Affaires Sociales et de la Santé PHRIP-2018-266
6 · The paper itself

Abstract

Correctly assessing children's theory of mind (TOM) is essential to clinical practice. Yet, most tasks heavily rely on language, which is an obstacle for several populations. Langdon and Coltheart's (Cognition 71(1):43-71, 1999) Picture Sequencing Task (PST), developed for research purposes, avoids this limitation through a minimally-verbal procedure. We thus developed a tablet adaptation of this task for individual application, engaging children's motivation and allowing response times collection. To assess this tablet-PST, we first tested a large sample of neurotypical children (6-11 years-old, N = 248), whose results confirmed the task's structural and content validity, and permitted the construction of three standardized clinical indices. In a second experiment, we applied those to previously diagnosed autistic children (N = 23), who were expected to show atypical TOM performance. Children's outcomes were consistent with what was hypothesized and confirmed the task's external validity and moderate clinical sensitivity. The tablet-PST thus appears as a suitable tool, providing detailed profiles to inform clinical decisions.

Indexed as

Autistic DisorderComputers, HandheldNeuropsychological TestsTheory of MindChildFemaleHumansMaleReproducibility of ResultsAutism spectrum disorderClinical assessmentNeurodevelopmental disorders [7]Psychological testsPsychometricsTheory of mind

Identifiers

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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.