Cited by 237Autism Spectrum Disorder ResearchFace Recognition and PerceptionChild and Animal Learning Development

The DOI matches its Crossref record; 48 of the 50 references it cites were found in a registry or an index; none of the 48 sources its claims cite is checked for support yet.

Parsing Heterogeneity in Autism Spectrum Disorders: Visual Scanning of Dynamic Social Scenes in School-Aged Children

Open access
Rice, Katherine, Moriuchi, Jennifer M., Jones, Warren, Klin, Ami·2012·Journal of the American Academy of Child & Adolescent Psychiatry

Abstract

Objective To examine patterns of variability in social visual engagement and their relationship to standardized measures of social disability in a heterogeneous sample of school-aged children with autism spectrum disorders (ASD).Method Eye-tracking measures of visual fixation during free-viewing of dynamic social scenes were obtained for 109 children with ASD (mean age, 10.2 ± 3.2 years), 37 of whom were matched with 26 typically-developing (TD) children (mean age, 9.5 ± 2.2 years) on gender, age, and IQ. The smaller subset allowed between-group comparisons, whereas the larger group was used for within-group examinations of ASD heterogeneity.Results Between-group comparisons revealed significantly attenuated orientation to socially salient aspects of the scenes, with the largest effect size (Cohen's d = 1.5) obtained for reduced fixation on faces. Within-group analyses revealed a robust association between higher fixation on the inanimate environment and greater social disability. However, the associations between fixation on the eyes and mouth and social adaptation varied greatly, even reversing, when comparing different cognitive profile subgroups.Conclusions Although patterns of social visual engagement with naturalistic social stimuli are profoundly altered in children with ASD, the social adaptivity of these behaviors varies for different groups of children. This variation likely represents different patterns of adaptation and maladaptation that should be traced longitudinally to the first years of life, before complex interactions between early predispositions and compensatory learning take place. We propose that variability in these early mechanisms of socialization may serve as proximal behavioral manifestations of genetic vulnerabilities.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Eye-tracking in school-age children with ASD showed altered visual engagement with dynamic social scenes, especially reduced face fixation, but the link between fixation patterns and social disability varied by cognitive profile. The authors argue this heterogeneity reflects different adaptive and maladaptive social-learning strategies rather than a single ASD visual phenotype.

Key findings

  • In matched samples (37 ASD vs. 26 TD), ASD children spent less time fixating eyes (30.9% vs. 41.1%) and mouth (17.5% vs. 24.6%), and more time on body (27.6% vs. 19.0%) and objects (24.0% vs. 15.3%); face fixation was 48.4% vs. 65.7% (Cohen’s d=1.5).
  • In the full ASD sample (N=109), higher object fixation was associated with greater social disability (r=.245, p=.014), while eyes and mouth fixation were weakly related to social disability (r=−.183, p<.1; r=−.135, p=.179).
  • Cognitive profile moderated these relationships: in the VIQ Split group (N=18), higher mouth looking predicted lower social disability (r=−.65, p=.013), whereas in the Higher Even FSIQ group (FSIQ ≥ 98), higher mouth looking predicted greater social disability (r=.473, p<.01); these correlations differed significantly (z=−3.56, p<.001).
  • FSIQ moderated the mouth-looking/social-disability relationship in even-IQ children (interaction β=.51, p=.008; model R²=17.8%), with the correlation becoming significant only at FSIQ ≥ 98 by Johnson-Neyman analysis.

Methods

  • Children viewed two 5–7 minute dynamic social films while eye-tracking measured percent fixation time on eyes, mouth, body, and object regions of interest.
  • Participants were 109 children with ASD (mean age 10.2 ± 3.2 years) and 26 TD children (mean age 9.5 ± 2.2 years); a subset of 37 ASD children was matched to TD controls on gender, age, and IQ for between-group comparisons, while the full ASD sample was used for within-group heterogeneity analyses.
  • Social disability was measured with the ADOS Calibrated Severity Score; IQ was measured with the Differential Abilities Scale–Second Edition. Analyses included t-tests, correlations, hierarchical multiple regression, and Johnson-Neyman probing of moderation.

Limitations

  • The authors state the sample is essentially non-intellectually disabled, so results do not generalize to intellectually disabled children with ASD; subgroup sizes were small, limiting power; and the IQ subgroupings are intended as suggestive, not definitive.
  • The authors also note that other variables, such as communicative competence, may moderate the fixation–social adaptation relationship, and that the association does not establish directionality.
  • Evident from the text: the design is cross-sectional and correlational, with multiple subgroup correlations, and the stimuli are paradigm-specific, so absolute fixation percentages may not be comparable across eye-tracking studies.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.jaac.2011.12.017

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

0 of 48 cited sources checked · 0 supported · 0 flagged

Show all 83 claims

  • It may state two separate claims as one. 24
  • Probably not a substantial claim. 17
36 of 36
  • The paper relies on this without support.

    The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.

    “These were intended to reflect everyday experiences of this age group”
    “targeting a defining symptom of the condition within an experimental setup that approximates their everyday social experiences”
  • The paper relies on this without support.

    The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.

    “Eye movements identified as fixations were coded relative to four regions-of-interest (ROIs) that were defined within all video stimuli: eyes, mouth, body (neck, shoulders, and contours around eyes and mouth such as hair), and object (surrounding inanimate stimuli) (Figure 1b).”
  • The paper relies on this without support.

    Prior research on school-age ASD children has identified cognitive profiles as helpful for parsing heterogeneity.

    “Past studies of school-age children with ASD have highlighted profiles of cognitive functioning as useful in parsing heterogeneity in the disorder.”
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Claims other papers make about this one

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Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentz = -2.15reported p = .031 · recomputed p = .032

    “(z=−2.15, p = .031”

  • Consistentz = -3.56reported p < .001 · recomputed p < .001

    “(z=−3.56, p < .001”

2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Discussion reverses the higher-IQ group's mouth-looking association

    Major

    The discussion says higher mouth fixation was associated with lower social disability in the Higher Even FSIQ group. The results report the opposite: higher mouth-looking was significantly associated with greater social disability in that group.

  • Full ASD sample's age summary conflicts with subgroup ages

    Minor

    The stated 72- and 37-child subgroup age means yield a mean of about 10.09 years for all 109 children, which rounds to 10.1 rather than the abstract's 10.2. Their reported standard deviations also imply a combined standard deviation of about 2.8 years, not 3.2.

2 of 2

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Metadata

Authors
Rice, K., Moriuchi, J. M., Jones, W., & Klin, A.
Affiliations
Emory University (US)
Corresponding author
Klin, Ami
Venue
Journal of the American Academy of Child & Adolescent Psychiatry
Publisher
Elsevier BV
Published
2012-03
Volume
51
Issue
3
Pages
238-248
ISSN
0890-8567 (ISSN-L)
OpenAlex
W2082605724
Cited by
237
References
50
Citations by year
2026: 8 · 2025: 7 · 2024: 11 · 2023: 9 · 2022: 9 · 2021: 25 · 2020: 44 · 2019: 20 · 2018: 16 · 2017: 8 · 2016: 14 · 2015: 19 · 2014: 23 · 2013: 19 · 2012: 5
FWCI
10.80
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Academy of Child & Adolescent Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Science Foundation (0532610)
  • Emory University
  • Children's Healthcare of Atlanta
  • National Institutes of Health (5r01hd042127-04)
  • School of Medicine, Emory University
  • National Institute of Child Health and Human Development
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD042127, R01HD42127)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
Keywords
autism spectrum disorder, eye tracking, social dysfunction, social adaptation, within-group variation, school-aged children, genetic susceptibility
MeSH terms
Adolescent, Child, Child Development Disorders, Pervasive, Eye Movements, Female, Fixation, Ocular, Humans, Male, Motion Pictures, Neuropsychological Tests, Personality Development, Photic Stimulation, Psychiatric Status Rating Scales, Social Adjustment, Visual Perception

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