Evidence map›Paper›PMID 34008916›Full record

ArticleAutism research : official journal of the International Society for Autism Research2021

Gauging facial feature viewing preference as a stable individual trait in autism spectrum disorder.

Gabrielle E Reimann, Catherine Walsh, Kelsey D Csumitta, Patrick McClure, Francisco Pereira, Alex Martin, Michal Ramot

Open access · bronzeAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Individual differences in human gaze behavior generalize from faces to objects.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. 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

7 authors at 2 institutions in 1 country.

Gabrielle E ReimannLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7398-3437
Catherine WalshLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Kelsey D CsumittaLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-9488-7981
Patrick McClureSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland, USA.
Francisco PereiraSection on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland, USA.
Alex MartinLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Michal RamotLaboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-9716-6469
National Institutes of Health · USNational Institute of Mental Health · US

Funding

The Cognitive Neuroscience of Autism Spectrum DisordersZIAMH002920 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARTIN, ALEX · 2009 to 2025
$14.6M
Machine Learning TeamZICMH002968 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PEREIRA, FRANCISCO · 2018 to 2025
$13.9M
Intramural NIH HHS ZIA MH002920Intramural NIH HHS ZIC MH002968
6 · The paper itself

Abstract

Eye tracking provides insights into social processing deficits in autism spectrum disorder (ASD), especially in conjunction with dynamic, naturalistic free-viewing stimuli. However, the question remains whether gaze characteristics, such as preference for specific facial features, can be considered a stable individual trait, particularly in those with ASD. If so, how much data are needed for consistent estimations? To address these questions, we assessed the stability and robustness of gaze preference for facial features as incremental amounts of movie data were introduced for analysis. We trained an artificial neural network to create an object-based segmentation of naturalistic movie clips (14 s each, 7410 frames total). Thirty-three high-functioning individuals with ASD and 36 age- and IQ-equated typically developing individuals (age range: 12-30 years) viewed 22 Hollywood movie clips, each depicting a social interaction. As we evaluated combinations of one, three, five, eight, and 11 movie clips, gaze dwell times on core facial features became increasingly stable at within-subject, within-group, and between-group levels. Using a number of movie clips deemed sufficient by our analysis, we found that individuals with ASD displayed significantly less face-centered gaze (centralized on the nose; p < 0.001) but did not significantly differ from typically developing participants in eye or mouth looking times. Our findings validate gaze preference for specific facial features as a stable individual trait and highlight the possibility of misinterpretation with insufficient data. Additionally, we propose the use of a machine learning approach to stimuli segmentation to quickly and flexibly prepare dynamic stimuli for analysis. LAY SUMMARY: Using a data-driven approach to segmenting movie stimuli, we examined varying amounts of data to assess the stability of social gaze in individuals with autism spectrum disorder (ASD). We found a reduction in social fixations in participants with ASD, driven by decreased attention to the center of the face. Our findings further support the validity of gaze preference for face features as a stable individual trait when sufficient data are used.

Indexed as

Autism Spectrum DisorderAdolescentAdultChildFaceFixation, OcularHumansMotion PicturesPhenotypeYoung Adultautism spectrum disordermachine learningsocial behavior

Identifiers

PMID34008916
PMCPMC10277907
OpenAlexW3162227791

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.