Evidence map›Paper›PMID 40173245›Full record

ArticleScience advances2025

Autism-like atypical face processing in

Siqi Yuan, Chenyu Pang, Liang Wu, Li Yi, Kun Guo, Yong-Hui Jiang, Yong Q Zhang, Shihui Han

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 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. 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

8 authors.

Siqi YuanState Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.ORCID 0009-0005-9226-543X
Chenyu PangSchool of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.ORCID 0000-0002-7050-3071
Liang WuState Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-9141-3905
Li YiSchool of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
Kun GuoSchool of Psychology, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK.ORCID 0000-0001-6765-1957
Yong-Hui JiangDepartment of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0001-6188-8806
Yong Q ZhangState Key Laboratory for Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-0581-4882
Shihui HanSchool of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.ORCID 0000-0003-3350-5104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical face processing is a neurocognitive basis of social deficits in autism spectrum disorder (ASD) and a candidate cognitive marker for the disease. Although hundreds of risk genes have been identified in ASD, it remains unclear whether mutations in a specific gene may cause ASD-like atypical face processing. Dogs have acquired exquisite face processing abilities during domestication and may serve as an effective animal model for studying genetic associations of ASD-like atypical face processing. Here, we showed that dogs with

Indexed as

Autism Spectrum DisorderAutistic DisorderFaceMutationNerve Tissue ProteinsAnimalsBehavior, AnimalDisease Models, AnimalDogsFemaleMaleNerve Tissue Proteins

Identifiers

PMID40173245
PMCPMC11963970

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.