Evidence map›Paper›PMID 38238562›Full record

ArticlePsychonomic bulletin & review2024

A novel image database for social concepts reveals preference biases in autistic spectrum in adults and children.

David Soto, Amaia Salazar, Patxi Elosegi, Antje Walter, Ning Mei, Ekaine Rodriguez, Valentina Petrollini, Agustín Vicente

Erratum issuedAbstract read
In one paragraph

Article in Psychonomic bulletin & review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

David SotoBasque Center on Cognition, Brain and Language, San Sebastian, Spain. d.soto@bcbl.eu.
Amaia SalazarDepartment of Artistic Education, Complutense University of Madrid, Madrid, Spain.
Patxi ElosegiBasque Center on Cognition, Brain and Language, San Sebastian, Spain.
Antje WalterBasque Center on Cognition, Brain and Language, San Sebastian, Spain.
Ning MeiShenzhen University, Nanshan District, Shenzhen, Guangdong Province, China.
Ekaine RodriguezUniversity of the Basque Country- UPV/EHU, Leioa, Spain.
Valentina PetrolliniUniversity of the Basque Country- UPV/EHU, Leioa, Spain.
Agustín VicenteIkerbasque, Basque Foundation for Science, Bilbao, Spain.

Funding

Agencia Estatal de Investigación CEX2020-001010-S
6 · The paper itself

Abstract

Human beings display the extraordinary ability of grasping and communicating abstract concepts. Yet, no standardized instruments exist to assess this ability. Developing these tools is paramount for understanding abstract representations such as social concepts, with ramifications in educational and clinical settings. Here, we developed an image database depicting abstract social concepts varying in social desirability. We first validated the image database in a sample of neurotypical participants. Then, we applied the database to test different hypotheses regarding how social concepts are represented across samples of adults and children with autism spectrum condition (ASC). Relative to the neurotypicals, we did not observe differences related to ASC in identification performance of the social desirability of the concepts, nor differences in metacognitive ability. However, we observed a preference bias away from prosocial concepts that was linked to individual autistic traits in the neurotypicals, and higher in ASC relative to the neurotypicals both in adults and children. These results indicate that abstract representations such as social concepts are dependent on individual neurodevelopmental traits. The image database thus provides a standardized assessment tool for investigating the representation of abstract social concepts in the fields of psycholinguistics, neuropsychology, neuropsychiatry, and cognitive neuroscience, across different cultures and languages.

Indexed as

Autism Spectrum DisorderAdolescentAdultChildDatabases, FactualFemaleHumansMaleSocial DesirabilitySocial PerceptionYoung AdultAbstract conceptsAutismMetacognitionPreference biasesSocial cognition

Identifiers

PMID38238562
PMCPMC11779780

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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.