Parsing Heterogeneity in Autism Spectrum Disorders: Visual Scanning of Dynamic Social Scenes in School-Aged Children
Open accessAbstract
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.
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
Cites
Statistics
Claims the paper makes
0 of 48 cited sources checked · 0 supported · 0 flagged
- Findingown data
How strongly eye and mouth fixation related to social adaptation differed substantially, sometimes changing direction, among cognitive profile subgroups.
“However, the associations between fixation on the eyes and mouth and social adaptation varied greatly, even reversing, when comparing different cognitive profile subgroups.”
- Also stated in: § Full Sample of School-age Children with ASD (N=109): Do Visual Fixation Patterns Predict Levels of Social Disability Differently in Individuals with Different Cognitive Profiles? · plain
“Within this group, there was a significant relationship between visual fixation and ADOS severity scores (r=−.65, p=.013)—higher mouth looking predicted lower social disability, accounting for over 40% of the variance in ADOS scores (Figure 3).”
- Also stated in: § Full Sample of School-age Children with ASD (N=109): Do Visual Fixation Patterns Predict Levels of Social Disability Differently in Individuals with Different Cognitive Profiles? · plain
“However, eyes-looking was not predictive of disability (r=.10, p=.73).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Also stated in: § Full Sample of School-age Children with ASD (N=109): Do Visual Fixation Patterns Predict Levels of Social Disability Differently in Individuals with Different Cognitive Profiles? · plain
- Findingown data
In the matched comparison, children with ASD showed significantly reduced orientation to socially salient parts of dynamic social scenes compared with typically developing children.
“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.”
- Also stated in: § Matched ASD (N=37) and TD (N=26) samples: Visual Fixation Time on Regions-of-Interest (ROI) · plain
“The ASD group and TD group, matched on age and IQ, had significantly different visual fixation times on all ROIs (eyes, mouth, body and object) (Figure 2).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Also stated in: § Matched ASD (N=37) and TD (N=26) samples: Visual Fixation Time on Regions-of-Interest (ROI) · plain
- Findingown data
In the full ASD sample, greater fixation on the inanimate environment was associated with greater social disability.
“Within-group analyses revealed a robust association between higher fixation on the inanimate environment and greater social disability.”
- Also stated in: § Full Sample of School-age Children with ASD (N=109): Patterns of Visual Fixation Time as Predictors of Social Disability · plain
“In this larger and more heterogeneous sample of ASD school-age children, the association between higher object fixation and higher social disability was significant (r=.245; p=.014), although the effect size was small.”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Also stated in: § Full Sample of School-age Children with ASD (N=109): Patterns of Visual Fixation Time as Predictors of Social Disability · plain
- Findingown data
The ASD group focused more on the body region than the TD group.
“and more on the body [27.6% (7.3) vs. 19.0% (4.4), respectively, t61= 5.37, p<.001]”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
The correlation between mouth-looking and social disability in the VIQ Split group significantly differed from that in the Higher Even FSIQ group (z=-3.56, p<.001).
“These two correlations were significantly different from each other (z=−3.56, p<.001).”
Quote in the paperSubstantial claim
- Findingown data
In the Lower Even FSIQ group (FSIQ < 98), there was no significant relationship between mouth-looking and ADOS severity score (r=-.083, p=.67).
“for the Lower Even FSIQ group, there was no significant relationship (r=−.083, p=.67)”
Quote in the paperSubstantial claim - Findingown data
The 72 additional ASD children averaged about 15 points lower in FSIQ and VIQ than the matched subset.
“The 72 children had, on average, FSIQs and VIQs about fifteen points lower than the matched ASD subset.”
Quote in the paperSubstantial claim - Findingown data
FSIQ had a main effect on ADOS severity scores (β=-.03, p=.03).
“While there was a main effect of FSIQ on ADOS scores (β=−.03, p=.03)”
Quote in the paperNot a substantial claim - Findingown data
The interaction between FSIQ and mouth-looking was significant in predicting ADOS severity scores (β=.51, p=.008).
“the interaction term FSIQ × Mouth Looking was also significant (β=.51, p=.008).”
Quote in the paperSubstantial claim - Findingown data
In the VIQ Split group, object looking did not correlate significantly with ADOS severity.
“The correlation between object-looking and ADOS severity scores failed to reach significance (r=.32, p=.27), but this may have been due to the small sample size of this subgroup.”
Quote in the paperNot a substantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the VIQ Split group, higher mouth-looking predicted less social disability (r=-.65, p=.013).
“for the VIQ Split group, higher mouth looking predicted less social disability (r=−.65, p=.013)”
Quote in the paperSubstantial claim - Findingown data
In the same even IQ profile group, object-looking correlated positively with social disability (r=.27, p<.05).
“Within this group, both eye-looking and object-looking significantly correlated with social disability (r=−.29, p<.05 and r=.27, p<.05, respectively)”
Quote in the paperSubstantial claim - Findingown data
The ASD group spent less time focused on faces (eyes and mouth together) than the TD group, with a large effect size.
“The most significant comparison was in regards to the face region (eyes and mouth together): the ASD group spent only 48.4% (13.4) of their viewing time focused on faces relative to the TD group’s 65.7% (8.0) (t61= −5.87, p<.001; Cohen’s d =1.5).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the Lower Even FSIQ group, eyes-looking did not significantly correlate with social disability (r=-.221, p=.25).
“eyes: r=−.412, p=.03 vs. r=−.221, p=.25”
Quote in the paperSubstantial claim - Findingown data
No correlation between visual fixation and social disability reached significance in the NVIQ Split group.
“none of the correlations between visual fixation and social disability was significant (all r<.17).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
Clinician-assigned diagnostic categories differed significantly between the 72 excluded children and the 37 matched subset.
“However, the distribution of clinician-assigned diagnoses was significantly different (Aut/Asp/PDD-NOS, 29/3/40 and 12/11/14, respectively, p<.001).”
Quote in the paperSubstantial claim - Findingown data
The three groups did not differ significantly in overall non-fixation data.
“From within the 488.4 seconds of total viewing data (14,652 video frames), total non-fixation data were not significantly different between the three groups of children (N=72 ASD children included in the ASD Full Sample, N=37 ASD subset included in the matched comparison to the TD group, and N=26 TD sample).”
Quote in the paperNot a substantial claim - Findingown data
TD children directed roughly two-thirds of their viewing time to faces.
“That, despite the nature of the stimuli, the TD group spent 2/3 of their viewing time focused on faces provides the pertinent benchmark comparison.”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the Higher Even FSIQ group (FSIQ ≥ 98), more mouth-looking was linked to greater social disability (r=.473, p<.01).
“whereas for the Higher Even FSIQ group, higher mouth-looking was significantly associated with greater social disability (r=.473, p<.01)”
Quote in the paperSubstantial claim - Findingown data
The ASD group focused less on the mouth region than the TD group.
“and mouth [17.5% (8.4) vs. 24.6% (13.8), respectively, t61= −2.518, p=.014] than controls”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
The two correlations (Lower vs Higher Even FSIQ) significantly differed from each other (z=-2.15, p=.031).
“These two correlations significantly differed from each other (z=−2.15, p=.031).”
Quote in the paperSubstantial claim - Findingown data
On every ROI comparison, the ASD group differed significantly from the TD group.
“Comparing matched ASD and TD groups, the ASD group significantly differed from the TD group on all ROI comparisons.”
Quote in the paperSubstantial claim - Findingown data
In the same even IQ profile group, mouth-looking was almost uncorrelated with social disability (r=.09).
“but the relationship between mouth-looking and social disability was almost zero (r=.09).”
Quote in the paperNot a substantial claim - Findingown data
A hierarchical multiple linear regression model with FSIQ, mouth fixation, and their interaction accounted for 17.8% of variance in ADOS severity scores (R2=17.8, F3,54=3.90, p=.014).
“The resulting model accounted for 17.8% of the variance in ADOS severity scores (R2=17.8, F3,54=3.90, p=.014).”
Quote in the paperSubstantial claim - Findingown data
In the VIQ Split group, eyes-looking was not predictive of disability.
“However, eyes-looking was not predictive of disability (r=.10, p=.73).”
Quote in the paperNot a substantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the even IQ profile group, the correlation between mouth-looking and social disability became significant only at FSIQ of 98 or higher.
“We found that the correlation between mouth-looking and social disability only became significant at a FSIQ of 98 or higher.”
Quote in the paperSubstantial claim - Findingown data
In the Lower Even FSIQ group, object-looking did not significantly correlate with social disability (r=.171, p=.38).
“object: r=.448, p=.015 vs. r=.171, p=.38”
Quote in the paperSubstantial claim - Findingown data
The ASD group focused less on the eyes region than the TD group.
“The ASD group focused less on eyes [30.9% (13.1) vs. 41.1% (14.3), respectively, t61= −2.94, p=.005]”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the Higher Even FSIQ group, object-looking correlated positively with social disability (r=.448, p=.015).
“object: r=.448, p=.015 vs. r=.171, p=.38”
Quote in the paperSubstantial claim - Findingown data
Fixation on the face area, combining eyes and mouth regions, was the strongest predictor of group membership.
“The strongest predictor of group membership was fixation on the face area (eyes and mouth regions together).”
Quote in the paperSubstantial claim - Findingown data
The correlations between social disability and eyes-looking and object-looking did not significantly differ between Higher and Lower Even FSIQ groups.
“but the correlations did not significantly differ between groups.”
Quote in the paperSubstantial claim - Findingown data
The ASD group focused more on the object region than the TD group.
“and object regions [24.0% (12.4) vs. 15.3% (5.1), respectively, t61=3.39, p=.001].”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
ROI fixation percentages were nearly the same in the 72 added children and the matched subset, within a few points.
“And yet, percent visual fixation times on ROIs were virtually identical in the two groups, differing by no more than a few percentage points (in the N=72 added group: eyes: 30.8% (13.4); mouth: 16.0% (9.2); body: 30.0 % (10.3); and object: 23.3% (8.4)).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In the Higher Even FSIQ group, eyes-looking correlated negatively with social disability (r=-.412, p=.03).
“eyes: r=−.412, p=.03 vs. r=−.221, p=.25”
Quote in the paperSubstantial claim - Findingown data
In the full ASD sample, eye and mouth fixation showed weaker, non-significant relationships with social disability.
“The relationships between eyes and mouth fixations and level of social disability were numerically even weaker (r=−.183, p<.1; and r=−.135, p=.179, respectively).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
Matched on age and IQ, the ASD and TD groups differed significantly in fixation time for every ROI: eyes, mouth, body, and object.
“The ASD group and TD group, matched on age and IQ, had significantly different visual fixation times on all ROIs (eyes, mouth, body and object) (Figure 2).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Findingown data
In children with ASD and an even IQ profile (N=61), eye-looking correlated negatively with social disability (r=-.29, p<.05).
“Within this group, both eye-looking and object-looking significantly correlated with social disability (r=−.29, p<.05 and r=.27, p<.05, respectively)”
Quote in the paperSubstantial claim - Findingown data
In both the Higher Even FSIQ and VIQ Split groups, higher object fixation predicted higher social disability.
“While in both cases higher object fixation predicted higher levels of social disability”
Quote in the paperSubstantial claim - Findingreasoning
Unlike earlier samples, mouth fixation percentage in these school-age ASD children was not higher than in TD children.
“in this sample of school-age children with ASD, percent mouth fixation did not exceed that of the TD sample.”
Quote in the paperSubstantial claim - Findingown data
Higher object fixation predicted higher social disability.
“One pattern was robust: higher object fixation predicted higher social disability.”
Quote in the paperSubstantial claim - Findingown data
In children with Higher Even FSIQ, higher mouth fixation and lower social disability were significantly more strongly correlated.
“Higher mouth fixation and lower social disability were significantly more strongly correlated for children with Higher Even FSIQ.”
Quote in the paperSubstantial claim - Findingown data
For children with an even IQ profile, FSIQ acted as a moderator of the link between mouth-looking and social disability.
“In children with an even IQ profile, FSIQ moderated the relationship between mouth-looking and social disability.”
Quote in the paperSubstantial claim - Findingown data
In the TD group, higher percent fixation on faces relative to the ASD group reached an effect size of Cohen's d=1.5.
“higher percent fixation on faces in the TD group relative to the ASD group reached an effect size of Cohen’s d=1.5.”
Quote in the paperSubstantial claim - Findingown data
In the larger heterogeneous ASD sample, there was variability in the interplay between social visual engagement and social disability.
“Examining the larger and more heterogeneous sample of children with ASD highlighted the presence of variability in the interplay between social visual engagement and social disability.”
Quote in the paperSubstantial claim - Findingown data
FSIQ was not associated with differences in overall looking times across all ROIs.
“Although overall looking times for all ROIs did not differ based on FSIQ”
Quote in the paperSubstantial claim - Findingreasoning
In the Higher Even FSIQ group, higher eyes-looking predicted lower social disability.
“for this group, higher eyes-looking predicted lower social disability”
Quote in the paperSubstantial claim - Findingown data
The Lower Even FSIQ group spent more time looking off-screen than the Higher Even FSIQ group (42.10 vs 27.04 seconds, t59=1.66, p=.1).
“the Lower Even FSIQ group spent a greater amount of time looking off-screen (seconds, 42.10 (32.8) vs. 27.04 (37.7), t59=1.66, p=.1)”
Quote in the paperSubstantial claim - Interpretationown data
Children with ASD show profoundly altered patterns of visual engagement with naturalistic social scenes.
“While 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.”
Quote in the paperSubstantial claim- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Interpretationown data
How adaptive these visual engagement behaviors are differs across subgroups of children with ASD.
“While 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.”
Quote in the paperSubstantial claim- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Premisecitation
In that adult study, reduced eye looking did not correlate with social disability severity.
“However, attenuated eyes fixation was not correlated with level of social disability.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Premisecitation
In the toddler study, less eye looking was linked to greater social disability.
“Unlike in the adult sample, for these 2-year-olds, decreased fixation to eyes was correlated with higher levels of social disability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Premisecitation
Research with dynamic social scenes has repeatedly found atypical viewing patterns in ASD.
“In contrast to studies using static faces, studies using dynamic social scenes have consistently identified atypical viewing patterns in individuals with ASD 9.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Boraston, 2007, The application of eye-tracking technology in the study of autism, J Physiol source
Not checked in the free run.
- Premisecitation
Directly linking autistic symptoms to genetic markers through phenotype components or aspects has produced only modest results so far.
“This need is particularly pressing given that the mapping of autistic symptomatology directly onto genetic markers utilizing components (e.g., symptom clusters) or aspects of the phenotype (e.g., language dysfunction) has yielded only modest results to date 3.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Geschwind, 2006, Finding genes in spite of heterogeneity; endophenotypes, QTL mapping, and expression profiling in autism
Not checked in the free run.
- Interpretationreasoning
Differences in social adaptivity probably reflect distinct patterns of adaptation and maladaptation.
“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.”
Quote in the paperNot a substantial claim- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Premisecitation
In a past adult study, reduced eyes fixation was the strongest diagnostic discriminator.
“Reduced eyes fixation was the strongest diagnostic discriminator.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Premisecitation
Mapping identified etiologies onto behavioral markers in ASD likely requires mediating phenotypes (endophenotypes) that yield more homogeneous samples.
“Given the vast phenotypic heterogeneity in autism spectrum disorders (ASD)1, the prospect of successfully mapping identified etiologies upon behavioral markers is likely to require mediating phenotypes, or ‘endophenotypes’ – more elementary heritable traits – capable of yielding more homogeneous samples 2.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Almasy, 2001, Endophenotypes as quantitative risk factor for psychiatric disease: rationale and study design, Am J Med Genet source
Not checked in the free run.
- Premisecitation
Both prior studies found that ASD participants looked more at background objects than controls.
“In both studies, with adults and with toddlers, individuals with ASD displayed increased fixation on background objects compared to controls.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Interpretationown data
The present results matched earlier reports of atypical visual engagement with dynamic social scenes in autistic toddlers and adults.
“These results replicated our previous findings of altered visual engagement with dynamic social scenes in toddlers 17 and in adults 18 with ASD.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Premisecitation
A substantial verbal-nonverbal IQ gap is common in ASD, occurring in more than 40% of cases.
“Similarly, an uneven cognitive profile with a significant discrepancy between verbal and nonverbal IQ (VIQ and NVIQ), or an IQ split, is frequent in ASD, present in over 40% of affected individuals 24,25.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] Charman, 2011, IQ in children with autism spectrum disorders: data from the Special Needs and Autism Project (SNAP), Psychol Med source
Not checked in the free run.
- cites [25] Mayes, 2003, Ability profiles in children with autism: influence of age and IQ, Autism source
Not checked in the free run.
- Interpretationreasoning
Comparing raw ROI fixation percentages would overlook that here faces took up little screen space and appeared in scenes full of movement and object actions.
“Thus a direct comparison of absolute percent fixation time on ROIs would ignore the fact that in this study, characters’ faces occupied much less screen area and were involved in scenes that contained a great deal of movement and actions on objects.”
Quote in the paperSubstantial claim- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Interpretationown data
These near-zero correlations differ from the significant visual-attention/ADOS links seen in earlier homogeneous adult and toddler samples.
“These negligible correlations were in contrast to the significant relationship between visual attention and ADOS scores in our past homogeneous adult and toddler samples.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
- Premisecitation
IQ discrepancies in either direction, whether VIQ or NVIQ is higher, have been linked to worse social outcomes.
“Discrepancies in either direction, with higher VIQ or NVIQ, have been associated with poorer social outcomes 28,29.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [28] Black, 2009, IQ split predicts social symptoms and communication abilities in high-functioning children with autism spectrum disorders, J Autism Dev Disord source
Not checked in the free run.
- cites [29] Joseph, 2002, Cognitive profiles and social-communicative functioning in children with autism spectrum disorder, J Child Psychol Psychiatry source
Not checked in the free run.
- Study design and conductcitation
The blink-detection algorithm had been validated earlier in younger children using video review and combined eye-tracking with EMG.
“The blink detection algorithm was previously verified in a set of younger participants in our eye-tracking studies both through visual analysis of video images and through simultaneous eye-tracking and EMG recording.17”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Premisecitation
Prior results suggest an alternative developmental path of neural and behavioral specialization, shaped by less social experience and more pursuit of physical connections.
“In summary, these results, obtained from both proximal and distal points in development, indicate an alternative path of neural and behavioral specialization 19-22, one guided by diminished experience in social action and interaction in the presence of increased pursuit of physical, not social, connections in their surrounding world.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [19] Klin, 2003, The enactive mind—from actions to cognition: lessons from autism, Phil Trans R Soc Lond B Biol Sci source
Not checked in the free run.
- cites [20] Klin, 2009, Two-year-olds with autism fail to orient towards human biological motion but attend instead to non-social, physical contingencies, Nature source
Not checked in the free run.
- cites [21] Schultz, 2005, Developmental deficits in social perception in autism: the role of the amygdala and fusiform face area, Int J Dev Neurosci source
Not checked in the free run.
- cites [22] Johnson, 2001, Functional brain development in humans, Nat Rev Neurosci source
Not checked in the free run.
- Premisecitation
In ASD, higher full-scale IQ predicts better social and adaptive outcomes.
“Though IQ is highly variable in ASD and intellectual disability is a comorbid feature in approximately 60% of individuals with ASD 1, higher FSIQ is associated with better outcomes in both social and adaptive behavior 23.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Howlin, 2004, Adult outcome for children with autism, J Child Psychol Psychiatry source
Not checked in the free run.
- Study design and conductown data
Every child who met ADOS and ADI-R inclusion criteria also received a clinician best-estimate diagnosis on the autism spectrum.
“None of the children meeting ADOS and ADI-R criteria for inclusion in the study failed to meet clinician-assigned, best estimate diagnoses within the autism spectrum.”
Quote in the paperNot a substantial claim - Premisecitation
IQ is an important predictor of outcome.
“Given the importance of IQ as a predictor of outcome 23”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Howlin, 2004, Adult outcome for children with autism, J Child Psychol Psychiatry source
Not checked in the free run.
- Interpretationreasoning
The discrepancy in results between the two groups emphasizes the importance of considering stimuli characteristics in eye-tracking studies.
“The discrepancy in results between these two groups of children emphasizes the importance of considering stimuli characteristics in eye-tracking studies.”
Quote in the paperNot a substantial claim - Premisecitation
Cues of intention, when people mean something other than what they say, are typically conveyed via expressions conveyed by eyes and bodily gestures, or via suprasegmental aspects of speech.
“cues of intention – when people mean something other than what they say – are typically conveyed via expressions conveyed by eyes and bodily gestures, or via suprasegmental aspects of speech 15.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Klin, 2002, Defining and quantifying the social phenotype in autism, Am J Psychiatry source
Not checked in the free run.
- Interpretationreasoning
Fixation patterns on faces or social scenes depend on the specific paradigm used.
“The result underscores the fact that visual fixation patterns relative to faces or social scenes are paradigm-specific.”
Quote in the paperSubstantial claim - Interpretationreasoning
Summary measures of visual fixation on particular face regions likely yield less insight into social adaptation for lower FSIQ individuals.
“our summary measures of visual fixation on particular regions of the face, for example, likely yield less insight into their social adaptation.”
Quote in the paperSubstantial claim - Interpretationreasoning
When comparing different eye-tracking studies, conclusions based only on absolute percent fixation times on ROIs may be misleading.
“When comparing different eye-tracking studies, conclusions based only on absolute percent fixation times on ROIs may be misleading.”
Quote in the paperSubstantial claim - Premisecitation
For children with ASD, disruptions of social development and compensatory patterns of social-communicative adaptation may shape the subsequent course of cognitive development, in overall level and style of learning.
“For children with ASD, disruptions of social development and compensatory patterns of social-communicative adaptation may shape the subsequent course of cognitive development, both in terms of overall level and style of learning 19.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Klin, 2003, The enactive mind—from actions to cognition: lessons from autism, Phil Trans R Soc Lond B Biol Sci source
Not checked in the free run.
- Interpretationown data
The moderating effect of FSIQ suggests that individuals with lower FSIQ may engage with the video stimuli in a qualitatively different way from higher functioning individuals.
“The moderating effect of FSIQ suggests that individuals with lower FSIQ may be engaging with the video stimuli in a qualitatively different way from higher functioning individuals.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results indicate the importance of considering not just a child's autism diagnosis, but also other individual characteristics that shape attempts to make sense of the social world.
“Our results indicate the importance of considering not just a child’s autism diagnosis, but also other individual characteristics that shape his or her attempts to make sense of the social world.”
Quote in the paperSubstantial claim - Premisecitation
In toddlers with ASD, measures of social visual engagement at age 2 were stronger predictors of cognitive function 15 months later than measures of cognitive function at age 2.
“we showed that, for toddlers with ASD, measures of social visual engagement taken at the age of 2 years were stronger predictors of cognitive function 15 months later than the same measures of cognitive function taken at the age of 2.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites WJ and AK, unpublished data
Not checked in the free run.
- Premisecitation
When moving from proximal observations of genetically-determined behaviors in infancy to measurements of symptoms and learning styles later in life, results likely originate from complex and iterative interactions between early predispositions and life experiences, treatment effects, and compensatory actions.
“When we move from more proximal observations of genetically-determined behaviors in infancy and toddlerhood years to measurements of symptoms and of learning styles later in life, we are likely to wrestle with results that originate from complex and iterative interactions between early predispositions (abilities and disabilities) and the individual’s life experiences, treatment effects, and child”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Klin, 2003, The enactive mind—from actions to cognition: lessons from autism, Phil Trans R Soc Lond B Biol Sci source
Not checked in the free run.
- Interpretationreasoning
In children with high, even FSIQ, excessive attention to the mouth constitutes a maladaptive strategy.
“For children with high, even FSIQ, being too glued to the mouth is a maladaptive strategy.”
Quote in the paperSubstantial claim - Interpretationcitation
These findings echo earlier studies of toddlers and adults with ASD that found atypical visual engagement with dynamic social scenes.
“These results replicate our previous work with toddlers 17 and adults 18 with ASD demonstrating altered visual engagement with dynamic social scenes.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] Jones, 2008, Absence of preferential looking to the eyes of approaching adults predicts level of social disability in 2-year-olds with autism, Arch Gen Psychiatry source
Not checked in the free run.
- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
- Interpretationown data
The Higher Even FSIQ group uses eye signals to better guide their social adaptation.
“thus suggesting that this group is using eye signals to better guide their social adaptation.”
Quote in the paperSubstantial claim - Interpretationown data
Similar summary fixation results concealed distinct patterns of social adaptation and maladaptation.
“Underneath similar summary fixation results lay different patterns of social adaptation and maladaptation.”
Quote in the paperSubstantial claim - Study design and conductown data
The subgroups used to parse ASD heterogeneity were smaller, limiting power to detect interactions between continuous variables via multiple linear regression.
“the subgroups used to parse ASD heterogeneity were smaller, thus limiting our power to detect interactions between continuous variables via multiple linear regression.”
Quote in the paperSubstantial claim - Interpretationreasoning
The use of static faces or silent videos in studies of this nature would mask the distinction between mouth-looking patterns.
“The use of static faces or silent videos in studies of this nature would mask this important distinction.”
Quote in the paperSubstantial claim
- May combine two claims. 24
- Classified as probably not a substantial claim. 17
May combine two claims.
Findingown dataThe 72 ASD children not in the matched subset were similar to the 37 matched ASD children in gender, age, and social disability.
“The 72 children removed were comparable to the 37 used in the matched comparison in regards to gender ratio (Male/Female, 53/19 and 30/7, respectively) and chronological age (years, mean (sd), 10.02 (2.33) and 10.22 (3.53), respectively). Using the ADOS-derived severity score to assess autistic symptomatology, the two groups also had comparable levels of social disability (6.75 (2.48) and 7.45 (2.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 30 children with an NVIQ advantage of at least 12 points did not differ significantly from the VIQ Split group in FSIQ or in eye, mouth, or object fixation percentages.
“While this group did not significantly differ from the VIQ Split group on FSIQ or on the percentage of fixation time spent on the eyes, mouth or objects”
Quote in the paperNot a substantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
May combine two claims.
Findingown dataThe 72 excluded ASD children scored significantly lower than the matched subset on full-scale, verbal, and nonverbal IQ.
“In regards to IQ scores, Full Scale IQ (FSIQ) was significantly lower for the N=72 excluded ASD children relative to the ASD subset (88.71 (19.85) and 112.03 (15.23), respectively, p<.001), as was Verbal IQ (VIQ) (88.54 (19.69) and 111.35 (16.30), respectively, p<.001), and Nonverbal IQ (NVIQ) (92.31 (19.44) and 111.35 (14.51), respectively, p<.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBlink rates and off-screen fixations differed significantly across the three groups.
“for blinks, 26.06 (23.77), 48.24 (38.36), 38.54 (27.01), respectively, F2,132=7.44, p<.001; and for off-screen fixations, 45.47 (40.17), 19.24 (24.97), 8.44 (13.74), respectively, F2,132=15.56, p<.001”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the full ASD sample, more object looking was significantly linked to greater social disability, but the effect was small.
“In this larger and more heterogeneous sample of ASD school-age children, the association between higher object fixation and higher social disability was significant (r=.245; p=.014), although the effect size was small.”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
May combine two claims.
Findingown dataAmong the 18 children with a VIQ advantage of at least 12 points, more mouth looking predicted less social disability and explained over 40% of ADOS score variance.
“Within this group, there was a significant relationship between visual fixation and ADOS severity scores (r=−.65, p=.013)—higher mouth looking predicted lower social disability, accounting for over 40% of the variance in ADOS scores (Figure 3).”
Quote in the paperSubstantial claim- Rests on an assumption: The regions-of-interest (eyes, mouth, body, object) meaningfully capture social versus inanimate aspects of the scenes.
May combine two claims.
Findingown dataThe 109 ASD children spanned a broad range of ages, IQ scores, and autism severity.
“The full sample of N=109 ASD school-age children covered a relatively wide distribution in age (± 1SD, ~ 7 to 13 years), IQ (± 1SD, FSIQ of ~ 75 to 118), and severity of autism 32 (± 1SD, ADOS Severity Score of ~ 4.5 to 9.5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared with TD children, those with ASD spent less fixation time on eyes and mouth and more on body and object regions.
“Children with ASD focused less on eyes and mouth regions and more on body and object regions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the full ASD group, neither lower eyes nor lower mouth percent fixation was significantly associated with higher levels of social disability.
“neither lower eyes nor lower mouth percent fixation was significantly associated with higher levels of social disability in the full ASD group”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDespite comparable overall percent fixation on mouth regions, higher mouth fixation predicted higher social disability in Higher Even FSIQ children and lower social disability in VIQ split children.
“despite comparable levels of percent fixation on the mouth regions overall, higher mouth fixation predicted higher social disability in the children with higher FSIQ and an even IQ profile and lower social disability in the children with the VIQ split.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe Higher Even FSIQ group had stronger relationships between less eyes-looking and greater social disability compared to Lower Even FSIQ, though differences were not significant.
“This Higher Even FSIQ group also had stronger relationships between less eyes-looking and greater social disability compared to children with Lower Even FSIQ, though these differences were not significant.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationStatic-face eye-tracking studies usually reported reduced looking at the eyes, while mouth looking was more variable.
“Typically, results indicated less fixation time on the eyes region of the face 10-13, with more variation in fixation on the mouth region; some studies found increased fixation on the mouth region of the face 12 whereas others found no differences in this regard 10,11.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [10] Pelphrey, 2002, Visual scanning of faces in autism, J Autism Dev Disord source
Not checked in the free run.
- cites [11] Dalton, 2005, Gaze fixation and the neural circuitry of face processing in autism, Nat Neurosci source
Not checked in the free run.
- cites [12] Spezio, 2007, Abnormal use of facial information in high-functioning autism, J Autism Dev Disord source
Not checked in the free run.
- cites [13] Spezio, 2007, Analysis of face gaze in autism using “bubbles”, Neuropsychologia source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationOnly a small fraction of ASD cases are explained by unique identified mutations.
“Genotypic heterogeneity has proved equally baffling, with unique identified mutations accounting for only a small number of cases 4-5.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationDevelopmental cognitive science could serve as a link between molecular pathobiology and clinical behavior.
“It is in this context that developmental cognitive science may provide the necessary bridge between molecular pathobiology and clinical behavior 6-7.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationIn the adult study, more mouth looking strongly predicted less social disability and greater social ability.
“Instead, increased fixation on the mouth region was a strong predictor of lower levels of social disability and higher levels of social ability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
May combine two claims.
PremisecitationA previous adult study found that autistic adults looked at eyes about half as much and at mouths about twice as much as controls.
“Adults with autism focused two times less on the eyes region of faces while focusing two times more on the mouth relative to controls.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Klin, 2002, Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism, Arch Gen Psychiatry source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationIn structured viewing tasks, people with autism may rely less on eye information and sometimes more on mouth information.
“In general, however, this literature is consistent with Langdell’s 14 original hypothesis: individuals with autism show attenuated reliance on information from the eyes region of the face and, at least in some situations, over-reliance on information from the mouth region of the face when performing structured viewing tasks (e.g., recognition of face identity or emotional expressions).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Langdell, 1978, Recognition of faces: an approach to the study of autism, J Child Psychol Psychiatry source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThis IQ split profile might be associated with particular genetic loci and neurophysiological features in ASD.
“The profile may be linked to specific genetic loci 26 and neurophysiological differences 27 in ASD.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [26] Chapman, 2011, Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16, Hum Genet source
Not checked in the free run.
- cites [27] Tager-Flusberg, 2003, Identifying neurocognitive phenotypes in autism, Philos Trans R Soc Lond B Biol Sci source
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe VIQ Split group and Higher Even FSIQ group were matched on VIQ (t47=1.25, p=.22) and level of social disability (t47=-.527, p=.57).
“These two groups were matched on both VIQ (t47=1.25, p=.22) and level of social disability (t47=−.527, p=.57).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningPersonnel blind to diagnosis ran all experimental protocol steps, and most data acquisition plus all coding, processing, and summarization were automated.
“All aspects of the experimental protocol were performed by personnel blind to diagnostic status of child. Most aspects of data acquisition and all aspects of coding, processing, and data summary were automated to ensure separation between the diagnostic characterization protocol and the experimental protocol.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe analyzed fixation data, which were valid, were similar across groups.
“For this study, however, the focus is on valid, analyzed fixation data, which were comparable across all groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataDespite a wide FSIQ range, the full ASD sample remained relatively high-functioning overall.
“While there was a wide range in FSIQ (42-149), the overall level of cognitive functioning of the full ASD sample was still relatively high.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationWhen ADOS and ADI-R disagreed, the clinician best-estimate diagnosis was treated as the gold standard and given priority.
“In the rare case of disagreement between ADOS and ADI-R criteria, as a widely accepted gold standard, the clinician-assigned, best estimate diagnosis took priority 34,35.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [34] Chawarska, 2007, Autism spectrum disorder in the second year: stability and change in syndrome expression, J Child Psychol Psychiatry source
Not checked in the free run.
- cites [35] Lord, 2005, Diagnostic instruments in autistic spectrum disorders
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataA 37-child ASD subset was matched to the 26 TD children on gender, age, and IQ measures.
“A subset (N=37) of the entire ASD sample was matched to the TD group on gender ratio, chronological age, FSIQ, VIQ, and NVIQ.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationEvery child passed a gaze-shift control task, saccading to a target within 500 ms and holding stable fixation with drift under 5°/sec for at least 1 second.
“All children passed by saccading to a target within 500 milliseconds and maintaining stable foveation with less than 5°/sec of drift for at least 1 second 37.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Leigh, 1999
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe reduced mouth looking in ASD was unsurprising because earlier work used face close-ups, while these stimuli showed whole people.
“This is not unexpected: the past studies used mostly close-ups on faces, whereas the current stimuli portrayed whole individuals.”
Quote in the paperNot a substantial claim- Rests on an assumption: The dynamic social scenes used in the eye-tracking task approximate children's everyday social experiences.
Classified as probably not a substantial claim.
Study design and conductreasoningBecause multiple ADOS modules were used, the ADOS Calibrated Severity Score was chosen as a module-standardized measure.
“Given the wide range of ADOS modules used in this large sample (Modules 2, 3, and 4), we used the ADOS Calibrated Severity Score 32 (higher scores denote more severe autistic symptomatology), a measure standardized across modules.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Gotham, 2009, Standardizing ADOS scores for a measure of severity in autism spectrum disorders, J Autism Dev Disord source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe eye-tracker's stated accuracy was ±0.3° across a ±20° horizontal and vertical range.
“The system was mounted unobstrusively on the bill of a baseball cap and utilized a target-tracking method that enables highly accurate eye-tracking without having to restrain the participant’s head (accuracy within ± 0.3° over a ± 20° horizontal and vertical range).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone givenWithout dynamic stimuli and accompanying audio, the mouth-language pairing present in naturalistic social interaction would be absent.
“Without dynamic stimuli and the accompanying audio, the mouth-language pairing present in naturalistic social interaction would be absent.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe ASD sample is essentially non-intellectually disabled, so results do not generalize to intellectually disabled children with ASD.
“this is essentially a non-intellectually disabled sample of children with ASD. Thus, our results do not generalize to the population of intellectually disabled children with ASD.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataFor Higher Even FSIQ children, mouth looking appeared detrimental to social adaptation, whereas for VIQ split children it appeared beneficial.
“in Higher Even FSIQ children mouth looking was associated with a detriment in social adaptation; in VIQ split children mouth looking was associated with an enhancement in social adaptation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningFor some children, an attempt to normalize their social behavior may not contribute to increased social adaptation.
“for some children at least, an attempt to normalize their social behavior may not contribute to increased social adaptation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe association between IQ profiles and visual engagement does not necessarily imply directionality.
“this association does not necessarily imply directionality.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
PremisecitationSo much learning is accomplished through shared experiences with others, and communication is by definition a social adaptive function.
“so much learning is accomplished through shared experiences with others and that communication is by definition a social adaptive function 19.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Klin, 2003, The enactive mind—from actions to cognition: lessons from autism, Phil Trans R Soc Lond B Biol Sci source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe evaluation of differences between correlation coefficients was based on sample size and strength of association, values independent of the significance threshold.
“our evaluation of the difference between these coefficients was based on sample size and strength of association, values which are independent of our significance threshold.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationThe search for successful endophenotypic constructs is more likely to succeed through studies of infants and a focus on evolutionarily highly conserved and developmentally early emerging social adaptive skills.
“The search for successful endophenotypic constructs is more likely to succeed through studies of infants and a focus on evolutionarily highly conserved and developmentally early emerging social adaptive skills 20.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Klin, 2009, Two-year-olds with autism fail to orient towards human biological motion but attend instead to non-social, physical contingencies, Nature source
Not checked in the free run.
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.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Patients with ASD have altered gaze patterns and reduced attention to social imagery.
“Patients with ASD have been shown to have altered gaze patterns and reduced attention to social imagery45–47.”
From Effect of age and autism spectrum disorder on oxytocin receptor density in the human basal forebrain and midbrain (2018) · cites this paper as [47]
Infants, toddlers, and adolescents with autism spectrum disorder show disrupted eye movement patterns to faces or social scenes, including avoidance of the eye region, atypical fixation on nonsocial aspects, and lack of attentional bias toward faces.
“It has been shown that infants, toddlers and adolescents with autism spectrum disorder (ASD) all show disrupted patterns of eye movements in response to images/videos of human faces or naturalistic social scenes, including avoidance of the eye region of faces, atypical fixation targets to the nonsocial aspects of social scenes and a lack of attentional bias toward faces, as measured by faster sacc”
From Comparative Perspectives on Oxytocin and Vasopressin Receptor Research in Rodents and Primates: Translational Implications (2016) · cites this paper as [61]
In humans, the majority of psychiatric and neurodevelopmental disorders show disruption in the use of eyes and eye contact during social interactions.
“In humans, the majority of psychiatric and neurodevelopmental disorders show disruption in the use of eyes and eye contact during social interactions [38-42].”
From Neurons in the Monkey Amygdala Detect Eye Contact during Naturalistic Social Interactions (2014) · cites this paper as [39]
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”
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
MajorThe 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.
“Higher mouth fixation and lower social disability were significantly more strongly correlated for children with Higher Even FSIQ.”
“for the Higher Even FSIQ group, higher mouth-looking was significantly associated with greater social disability (r=.473, p<.01)”
Full ASD sample's age summary conflicts with subgroup ages
MinorThe 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.
“109 children with ASD (mean age=10.2 ± 3.2 years)”
“chronological age (years, mean (sd), 10.02 (2.33) and 10.22 (3.53), respectively)”
Cites
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986031004437 · Cited by 5,044 · see citing works
The Neurology of Eye Movements
Leigh, R. J., & Zee, D. S. (2015) · Oxford University Press eBooks · doi:10.1093/med/9780199969289.001.0001 · Cited by 3,829 · see citing works
Holmbeck, G. N. (1997) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.65.4.599 · Cited by 2,956 · see citing works
Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., Donaldson, A., & Varley, J. (2010) · Pediatrics · doi:10.1542/peds.2009-0958 · Cited by 2,621 · see citing works
Holmbeck, G. (1997) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.65.4.599 · Cited by 2,382 · see citing works
Handbook of Autism and Pervasive Developmental Disorders
(2005) · Wiley eBooks · doi:10.1002/9780470939352 · Cited by 2,252 · see citing works
Klin, A., Jones, W., Schultz, R., Volkmar, F., & Cohen, D. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.9.809 · Cited by 2,120 · see citing works
Self-citationAdvances in autism genetics: on the threshold of a new neurobiology
Abrahams, B. S., & Geschwind, D. H. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2346 · Cited by 1,866 · see citing works
Adult outcome for children with autism
Howlin, P., Goode, S., Hutton, J., & Rutter, M. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00215.x · Cited by 1,813 · see citing works
Association between Microdeletion and Microduplication at 16p11.2 and Autism
Weiss, L. A., Shen, Y., Korn, J. M., Arking, D. E., Miller, D. T., Fossdal, R., Saemundsen, E., Stefansson, H., Ferreira, M. A. R., Green, T., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa075974 · Cited by 1,666 · see citing works
Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum Disorders
Gotham, K., Pickles, A., & Lord, C. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-008-0674-3 · Cited by 1,605 · see citing works
Gaze fixation and the neural circuitry of face processing in autism
Dalton, K. M., Nacewicz, B. M., Johnstone, T., Schaefer, H. S., Gernsbacher, M. A., Goldsmith, H. H., Alexander, A. L., & Davidson, R. J. (2005) · Nature Neuroscience · doi:10.1038/nn1421 · Cited by 1,543 · see citing works
Probing interactions in fixed and multilevel regression: Inferential and graphical techniques
Bauer, D. J., & Curran, P. J. (2005) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr4003_5 · Cited by 1,506 · see citing works
Autism screening questionnaire: diagnostic validity
Berument, S. K., Rutter, M., Lord, C., Pickles, A., & Bailey, A. (1999) · British Journal of Psychiatry · doi:10.1192/bjp.175.5.444 · Cited by 1,464 · see citing works
Intermediate phenotypes and genetic mechanisms of psychiatric disorders
Meyer-Lindenberg, A., & Weinberger, D. R. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1993 · Cited by 1,216 · see citing works
Visual scanning of faces in autism
Pelphrey, K. A., Sasson, N. J., Reznick, J. S., Paul, G., Goldman, B. D., & Piven, J. (2002) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1016374617369 · Cited by 1,187 · see citing works
Schultz, R. T. (2005) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2004.12.012 · Cited by 1,071 · see citing works
Functional brain development in humans
Johnson, M. H. (2001) · Nature Reviews Neuroscience · doi:10.1038/35081509 · Cited by 980 · see citing works
Autism and the pervasive developmental disorders
Volkmar, F. R., & Klin, A. (2012) · doi:10.1093/med/9780199696758.003.0214 · Cited by 931 · see citing works
Self-citationTwo-year-olds with autism orient to non-social contingencies rather than biological motion
Klin, A., Lin, D. J., Gorrindo, P., Ramsay, G., & Jones, W. (2009) · Nature · doi:10.1038/nature07868 · Cited by 921 · see citing works
Self-citationThe enactive mind, or from actions to cognition: lessons from autism
Klin, A., Jones, W., Schultz, R., & Volkmar, F. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1202 · Cited by 890 · see citing works
Self-citationJones, W., Carr, K., & Klin, A. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.8.946 · Cited by 650 · see citing works
Self-citationAssociation Between Microdeletion and Microduplication at 16p11.2 and Autism
Weiss, L. A., Shen, Y., Korn, J. M., Arking, D. E., Miller, D. T., Fossdal, R., Sæmundsen, E., Stefánsson, H., Ferreira, M. A. R., Green, T. J., et al. (2008) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000316305.61461.6f · Cited by 647 · see citing works
Autism and pervasive developmental disorders
Volkmar, F. R., Lord, C., Bailey, A., Schultz, R. T., & Klin, A. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1046/j.0021-9630.2003.00317.x · Cited by 616 · see citing works
Self-citationIQ in children with autism spectrum disorders: Data from the special needs and autism project (SNAP)
Charman, T., Pickles, A., Simonoff, E., Chandler, S., Loucas, T., & Baird, G. (2011) · Psychological Medicine · doi:10.1017/s0033291710000991 · Cited by 599 · see citing works
Cognitive profiles and social‐communicative functioning in children with autism spectrum disorder
Joseph, R. M., Tager‐Flusberg, H., & Lord, C. (2002) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00092 · Cited by 503 · see citing works
THE NEUROLOGY OF EYE MOVEMENTS
Leigh, R. J., & Zee, D. S. (1984) · Optometry and Vision Science · doi:10.1097/00006324-198402000-00014 · Cited by 501 · see citing works
Recognition of faces: an approach to the study of autism
Langdell, T. (1978) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1978.tb00468.x · Cited by 478 · cited 1× · see citing works
“The regions-of-interest were defined by hand-tracing for all frames of video (14,652), and were then stored as binary bitmaps (via software written in MATLAB).”
MethodDefining and quantifying the social phenotype in autism
Klin, A., Jones, W., Schultz, R., Volkmar, F., & Cohen, D. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.6.895 · Cited by 467 · see citing works
Self-citationIdentifying neurocognitive phenotypes in autism
Tager-Flusberg, H., & Joseph, R. M. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1198 · Cited by 460 · see citing works
Autism spectrum disorder in the second year: stability and change in syndrome expression
Chawarska, K., Klin, A., Paul, R., & Volkmar, F. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01685.x · Cited by 384 · see citing works
Self-citationAbnormal use of facial information in high-functioning autism
Spezio, M. L., Adolphs, R., Hurley, R. S. E., & Piven, J. (2007) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-006-0232-9 · Cited by 352 · see citing works
The application of eye-tracking technology in the study of autism
Boraston, Z., & Blakemore, S. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2007.133587 · Cited by 287 · see citing works
Ability Profiles in Children with Autism: Influence of Age and IQ
Mayes, S. D., & Calhoun, S. L. (2003) · Autism · doi:10.1177/1362361303007001006 · Cited by 247 · see citing works
Analysis of face gaze in autism using “bubbles”
Spezio, M. L., Adolphs, R., Hurley, R. S. E., & Piven, J. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.04.027 · Cited by 209 · see citing works
Eye‐movement patterns are associated with communicative competence in autistic spectrum disorders
Norbury, C., Brock, J., Cragg, L., Einav, S., GRIFFITHS, H. M., & Nation, K. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02073.x · Cited by 189 · cited 1× · see citing works
“While there was a wide range in FSIQ (42-149), the overall level of cognitive functioning of the full ASD sample was still relatively high.”
BackgroundKlin, A. J., & JONES, W. R. (2007) · Developmental Science · doi:10.1111/j.1467-7687.2007.00608.x · Cited by 177 · see citing works
Self-citation(2006) · CRC Press eBooks · doi:10.1201/9781420004205 · Cited by 171 · see citing works
Diagnostic Instruments in Autistic Spectrum Disorders
Lord, C., & Corsello, C. (2005) · Handbook of Autism and Pervasive Developmental Disorders · doi:10.1002/9780470939352.ch2 · Cited by 156 · see citing works
Heterogeneity and Homogeneity Across the Autism Spectrum: The Role of Development
Jones, W., & Klin, A. (2009) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e31819f6c0d · Cited by 128 · see citing works
Self-citationInhibition of eye blinking reveals subjective perceptions of stimulus salience
Shultz, S., Klin, A., & JONES, W. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1109304108 · Cited by 116 · see citing works
Self-citationBlack, D. O., Wallace, G. L., Sokoloff, J. L., & Kenworthy, L. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-009-0795-3 · Cited by 102 · see citing works
Genome-scan for IQ discrepancy in autism: evidence for loci on chromosomes 10 and 16
Chapman, N. H., Estes, A., Munson, J., Bernier, R., Webb, S. J., Rothstein, J. H., Minshew, N. J., Dawson, G., Schellenberg, G. D., & Wijsman, E. M. (2011) · Human Genetics · doi:10.1007/s00439-010-0899-z · Cited by 55 · see citing works
The potential role for emergence in autism
Anderson, G. M. (2008) · Autism Research · doi:10.1002/aur.2 · Cited by 36 · cited 1× · see citing works
“While there was a wide range in FSIQ (42-149), the overall level of cognitive functioning of the full ASD sample was still relatively high.”
BackgroundIn This Issue/Abstract Thinking: Thinking Inside the Box
Drury, S. S. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e3181908c2c · Cited by 13 · see citing works
Landis, S., & Insel, T. R. (2008) · Science · doi:10.1126/science.1167707 · Cited by 12 · see citing works
Finding Genes in Spite of Heterogeneity
Geschwind, D. H., & Alarcón, M. (2006) · CRC Press eBooks · doi:10.1201/9781420004205.ch4 · Cited by 6 · cited 1× · see citing works
“For inclusion in the ASD group, children had to meet all three of the following conditions: (1) meet criteria for either autism or an autism spectrum disorder on the ADOS, (2) meet criteria for autism on the Autism Diagnostic Interview – Revised (ADI-R) 33, and (3) be independently assigned, by two experienced clinici…”
Method(2006) · CRC Press eBooks · doi:10.1201/9781420004205-9 · Cited by 2 · see citing works
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Identification, Evaluation, and Management of Children With Autism Spectrum Disorder
Hyman, S. L., Levy, S. E., Myers, S. M., COUNCIL ON CHILDREN WITH DISABILITIES, S. O. D. A. B. P., Kuo, D. Z., Apkon, S., Davidson, L. F., Ellerbeck, K. A., Foster, J. E. A., Noritz, G. H., et al. (2020) · Pediatrics · doi:10.1542/peds.2019-3447 · Cited by 1,548 · see citing works
Precise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885 · see citing works
Social attention in ASD: A review and meta-analysis of eye-tracking studies
Chita-Tegmark, M. (2015) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2015.10.011 · Cited by 496 · see citing works
Visual social attention in autism spectrum disorder: Insights from eye tracking studies
Guillon, Q., Hadjikhani, N. K., Baduel, S., & Rogé, B. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.013 · Cited by 507 · see citing works
Frazier, T. W., Strauss, M., Klingemier, E. W., Zetzer, E. E., Hardan, A. Y., Eng, C., & Youngstrom, E. A. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.05.005 · Cited by 374 · see citing works
Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking
Wang, S., Jiang, M. X., Duchesne, X. M., Laugeson, E. A., Kennedy, D. P., Adolphs, R., & Zhao, Q. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.042 · Cited by 360 · see citing works
“1 28”
Early identification of autism spectrum disorders
Zwaigenbaum, L., Bryson, S., & Garon, N. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.04.004 · Cited by 370 · see citing works
“[93] proposed that atypical patterns of social attention to dynamic social scenes taken in natural settings (e.”
BackgroundThe “Eye Avoidance” Hypothesis of Autism Face Processing
Tanaka, J. W., & Sung, A. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1976-7 · Cited by 307 · see citing works
“When viewing a dynamic social scene, Rice et al. (2012) found that visual fixation time on the mouth positively correlated with social disability for children with similar verbal and non-verbal IQ scores.”
Eye tracking in early autism research
Falck‐Ytter, T., Bölte, S., & Gredebäck, G. (2013) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-5-28 · Cited by 306 · see citing works
Papagiannopoulou, E. A., Chitty, K. M., Hermens, D. F., Hickie, I. B., & Lagopoulos, J. (2014) · Social Neuroscience · doi:10.1080/17470919.2014.934966 · Cited by 261 · see citing works
“…semi-structured live interactions (Noris et al., 2011); (8) free-viewing tasks (Chawarska et al., 2013); (9) free viewing of dynamic social scenes (Rice et al., 2012); (10) scanning of social stimuli (Dalton, Nacewicz, Alexander, & Davidson, 2007); and (11) cartoon-like images containing social…”
BackgroundMethodResultInfluentialSpeech Disturbs Face Scanning in 6-Month-Old Infants Who Develop Autism Spectrum Disorder
Shic, F., Macari, S., & Chawarska, K. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.07.009 · Cited by 221 · see citing works
Freeman, S. M., & Young, L. J. (2016) · Journal of Neuroendocrinology · doi:10.1111/jne.12382 · Cited by 196 · see citing works
“It has been shown that infants, toddlers and adolescents with autism spectrum disorder (ASD) all show disrupted patterns of eye movements in response to images/videos of human faces or naturalistic social scenes, including avoidance of the eye region of faces, atypical fixation targets to the nonsocial aspects of soci…”
BackgroundBiomarkers in autism spectrum disorder: the old and the new
Ruggeri, B., Sarkans, U., Schumann, G., & Persico, A. M. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3290-7 · Cited by 191 · see citing works
Wang, X., Xu, Q., Bey, A. L., Lee, Y., & Jiang, Y. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-30 · Cited by 165 · see citing works
“Considerable clinical heterogeneity in ASD has been well documented [40-42], although the cause underlying this heterogeneity remains largely unknown.”
BackgroundRETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline
Holmqvist, K., Örbom, S. L., Hooge, I. T. C., Niehorster, D. C., Alexander, R. G., Andersson, R., Benjamins, J. S., Blignaut, P. J., Brouwer, A.-M., Chuang, L. L., et al. (2022) · Behavior Research Methods · doi:10.3758/s13428-021-01762-8 · Cited by 169 · see citing works
“One often-reported finding is differences in gaze behaviour to the eyes of a face between individuals with and without an ASD diagnosis (e.g. Dalton et al., 2005; Jones et al., 2008, 2013; Klin et al., 2002; Rice et al., 2012).”
BackgroundRetractedNeurons in the Monkey Amygdala Detect Eye Contact during Naturalistic Social Interactions
Mosher, C. P., Zimmerman, P. E., & Gothard, K. M. (2014) · Current Biology · doi:10.1016/j.cub.2014.08.063 · Cited by 154 · see citing works
“In humans, the majority of psychiatric and neurodevelopmental disorders show disruption in the use of eyes and eye contact during social interactions [38–42].”
Evaluating Posed and Evoked Facial Expressions of Emotion from Adults with Autism Spectrum Disorder
Faso, D. J., Sasson, N. J., & Pinkham, A. E. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2194-7 · Cited by 147 · see citing works
“Whether facial affect differs as a function of symptom severity and/or age remains an open question, though such differences may be likely given the heterogeneity of symptom expression in ASD (Rice et al. 2012; Szatmari 1999).”
BackgroundNeonatal Transitions in Social Behavior and Their Implications for Autism
Shultz, S., Klin, A., & Jones, W. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.02.012 · Cited by 141 · see citing works
Self-citationMcIntyre, N. S., Solari, E. J., Grimm, R. P., Lerro, L., Gonzales, J. E., & Mundy, P. C. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3029-0 · Cited by 133 · see citing works
“There are many approaches to studying heterogeneity in ASD including, for example, the study of differences in social engagement (Wing and Gould 1979), differences in social attention (Rice et al. 2012), differences in executive function (Tager-Flusberg and Joseph 2003; Geurts et al.”
MethodAttention Allocation in ASD: a Review and Meta-analysis of Eye-Tracking Studies
Chita-Tegmark, M. (2016) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-016-0077-x · Cited by 127 · see citing works
“2015) and decreased (Rice et al. 2012; Sterling et al. 2008) attention and no statistically significant differences in attention to this AOI”
BackgroundResultInfluentialWashington, P. Y., Park, N., Srivastava, P., Voss, C., Kline, A., Varma, M., Tariq, Q., Kalantarian, H., Schwartz, J. N., Patnaik, R., et al. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.11.015 · Cited by 92 · see citing works
“Eye tracking has also recorded reduced fixation on faces in children with autism (101).”
BackgroundBlink Rate Patterns Provide a Reliable Measure of Individual Engagement with Scene Content
Ranti, C., JONES, W. R., Klin, A., & Shultz, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-64999-x · Cited by 107 · see citing works
Self-citationHessels, R. S., Holleman, G. A., Cornelissen, T. H. W., Hooge, I. T. C., & Kemner, C. (2017) · Journal of Experimental Psychopathology · doi:10.5127/jep.062917 · Cited by 96 · see citing works
“, 2005), school-aged children (Rice et al., 2012) and toddlers (Jones et al.”
BackgroundFace Perception and Learning in Autism Spectrum Disorders
Webb, S. J., Neuhaus, E., & Faja, S. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2016.1151059 · Cited by 93 · see citing works
“Children with ASD, in contrast, show reduced attention to faces and increased attention to non-face images within dynamic social scenes (Rice, Moriuchi, Jones, & Klin, 2012).”
Unimpaired Attentional Disengagement and Social Orienting in Children With Autism
Fischer, J., Koldewyn, K., Jiang, Y. V., & Kanwisher, N. (2013) · Clinical Psychological Science · doi:10.1177/2167702613496242 · Cited by 93 · see citing works
Freeman, S. M., Palumbo, M. C., Lawrence, R. H., Smith, A. L., Goodman, M. M., & Bales, K. L. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0315-3 · Cited by 82 · see citing works
iPads and the Use of “Apps” by Children with Autism Spectrum Disorder: Do They Promote Learning?
Allen, M. L., Hartley, C., & Cain, K. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01305 · Cited by 85 · see citing works
“This “ shape bias ” is driven by TD children’s sensitivity to word-shape co-occurrences during infancy (Samuelson and Smith, 2005) and their abstraction of prototypes (mental representations of a category’s “central tendency”; Younger, 1990).”
BackgroundDevelopment of an Objective Autism Risk Index Using Remote Eye Tracking
Frazier, T. W., Klingemier, E. W., Beukemann, M., Speer, L. L., Markowitz, L. A., Parikh, S., Wexberg, S., Giuliano, K., Schulte, E. E., Delahunty, C. M., et al. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.01.011 · Cited by 81 · see citing works
Midouhas, E., Yogaratnam, A., Flouri, E., & Charman, T. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.07.011 · Cited by 78 · see citing works
Eye Contact Modulates Cognitive Processing Differently in Children With Autism
Falck‐Ytter, T., Carlström, C., & Johansson, M. (2014) · Child Development · doi:10.1111/cdev.12273 · Cited by 77 · see citing works
Parish‐Morris, J., Chevallier, C., Tonge, N., Letzen, J. E., Pandey, J., & Schultz, R. T. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00185 · Cited by 72 · see citing works
“Similarly, in studies using dynamic movie clips, children, adolescents and young adults with autism fixate less on people, faces and eyes and more on objects than do typical controls (Klin et al., 2002; Nakano et al., 2010; Rice et al., 2012).”
BackgroundMethodInfluentialBours, C., Bakker-Huvenaars, M. J., Tramper, J. J., Bielczyk, N., Scheepers, F. E., Nijhof, K. S., Baanders, A. N., Rommelse, N. N. J., Medendorp, W. P., Glennon, J. C., et al. (2018) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-018-1174-4 · Cited by 85 · see citing works
Hanley, M., Riby, D. M., McCormack, T., Carty, C., Coyle, L., Crozier, N., Robinson, J., & McPhillips, M. (2014) · Research in Autism · doi:10.1016/j.rasd.2014.03.020 · Cited by 71 · see citing works
“, 2008); to school aged children (Riby & Hancock, 2009a, 2009b; Rice et al., 2012); to adults with autism (Hanley, McPhillips, Mulhern & Riby, 2012; Klin et al.”
BackgroundInfluentialSocial cognition and the superior temporal sulcus: Implications in autism
Saitovitch, A., Bargiacchi, A., Chabane, N., Brunelle, F., Samson, Y., Boddaert, N., & Zilbovicius, M. (2012) · Revue Neurologique · doi:10.1016/j.neurol.2012.07.017 · Cited by 68 · see citing works
Imitation in Autism Spectrum Disorders
Vivanti, G., & Hamilton, A. F. D. C. (2014) · Wiley eBooks · doi:10.1002/9781118911389.hautc12 · Cited by 87 · see citing works
Webb, S. J., Shic, F., Murias, M., Sugar, C. A., Naples, A. J., Barney, E. C., Borland, H., Hellemann, G., Johnson, S. P., Kim, M., et al. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00071 · Cited by 64 · see citing works
Social orienting and social seeking behaviors in ASD. A meta analytic investigation
Hedger, N., Dubey, I., & Chakrabarti, B. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.10.003 · Cited by 63 · see citing works
Swanson, M. R., & Siller, M. (2013) · Research in Autism · doi:10.1016/j.rasd.2013.05.007 · Cited by 64 · see citing works
Frey, H., Molholm, S., Lalor, E. C., Russo, N. N., & Foxe, J. J. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12243 · Cited by 59 · see citing works
“In the few published examples of eye-traces in ASD participants, fixations are often only slightly away from targeted regions of interest (Pelphrey et al., 2002; Rice et al., 2012).”
BackgroundVisualization and Analysis of Eye Movement Data from Children with Typical and Atypical Development
Falck‐Ytter, T., von Hofsten, C., Gillberg, C., & Fernell, E. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1776-0 · Cited by 58 · see citing works
“We used total IQ scores as the matching variable (Rice et al. 2012) (Table 2), and compared the groups on the average score from movie A–”
MethodSocial cognition in autism: Face tuning
Pavlova, M. A., Guerreschi, M., Tagliavento, L., Gitti, F., Sokolov, A. N., Fallgatter, A. J., & Fazzi, E. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-02790-1 · Cited by 56 · see citing works
Fujioka, T., Tsuchiya, K. J., Saito, M., Hirano, Y., Matsuo, M., Kikuchi, M., Maegaki, Y., Choi, D., Kato, S., Yoshida, T., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00321-w · Cited by 53 · see citing works
(2015) · Europe PMC (PubMed Central) · Cited by 51 · see citing works
Deficits in volitional oculomotor control align with language status in autism spectrum disorders
Kelly, D. J., Walker, R., & Norbury, C. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01188.x · Cited by 53 · see citing works
“, 2009) and that similar scan patterns may reflect different underlying processes in those with discrepant verbal–non-verbal abilities (Rice et al., 2012).”
BackgroundInfluentialWashington, P. Y., & Wall, D. P. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-020722-125454 · Cited by 45 · see citing works
“Another diagnostic tool, Earlitec [40, 92-98], incorporates the single modality of eye tracking for autism diagnosis support in children ages 16-30 months old and is approved for use specifically in the specialty clinical settings.”
MethodMüller, N., Baumeister, S., Dziobek, I., Banaschewski, T., & Poustka, L. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2828-z · Cited by 54 · see citing works
“(2002) and in line with other studies (Rice et al. 2012; Speer et al. 2007), we found no evidence for increased mouth fixation duration in adolescents with ASD.”
ResultInfluentialVisual Attention Analysis and Prediction on Human Faces for Children with Autism Spectrum Disorder
Duan, H., Min, X., Fang, Y., Fan, L., Yang, X., & Zhai, G. (2019) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3337066 · Cited by 54 · see citing works
“[51] studied the visual scanning strategies of social scenes in school-aged children with ASD and their relationship to early social disability measurement.”
BackgroundGillespie-Smith, K., Hendry, G., Anduuru, N., Laird, T., & Ballantyne, C. (2021) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2021.104081 · Cited by 52 · see citing works
Rett Syndrome: Basic Features of Visual Processing—A Pilot Study of Eye-Tracking
Djukic, A., McDermott, M. V., Mavrommatis, K., & Martins, C. L. (2012) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2012.04.009 · Cited by 52 · see citing works
“Quantifiable aspects of eye-tracking were used as an outcome measure in studies of autism [19-21].”
MethodReisinger, D. L., Shaffer, R. C., Horn, P. S., Hong, M. P., Pedapati, E. V., Dominick, K. C., & Erickson, C. A. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00076 · Cited by 50 · see citing works
Riddiford, J. A., Enticott, P. G., Lavale, A., & Gurvich, C. (2022) · Autism Research · doi:10.1002/aur.2729 · Cited by 58 · see citing works
Adaptation to different communicative contexts: an eye tracking study of autistic adults
Parish‐Morris, J., Pallathra, A. A., Ferguson, E. F., Maddox, B. B., Pomykacz, A., Perez, L. S., Bateman, L., Pandey, J., Schultz, R. T., & Brodkin, E. S. (2019) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-019-9265-1 · Cited by 49 · see citing works
Wilkinson, K. M., & Light, J. (2014) · Augmentative and Alternative Communication · doi:10.3109/07434618.2014.904434 · Cited by 50 · see citing works
Su, P. L., Rogers, S. J., Estes, A. M., & Yoder, P. J. (2020) · Autism · doi:10.1177/1362361320953260 · Cited by 48 · see citing works
“Children and adults with ASD often display reduced attention to social stimuli compared to non-social stimuli (Chawarska et al., 2012; Chawarska & Shic, 2009; Kuhl et al., 2005; Rice et al., 2012; Sasson et al., 2008; Watson et al., 2010).”
BackgroundBacon, E. C., Osuna, S., Courchesne, E., & Pierce, K. (2018) · Autism · doi:10.1177/1362361318766241 · Cited by 47 · see citing works
“There is a deepening appreciation of the fact that Autism Spectrum Disorder (ASD) is a heterogeneous disorder, not only in terms of clinical profile (Kim et al., 2015; Rice et al., 2012), but also likely etiology (Bill and Geschwind, 2009).”
BackgroundSkwerer, D. P., Brukilacchio, B. H., Chu, A., Eggleston, B. A., Meyer, S., & Tager-Flusberg, H. B. (2019) · Autism · doi:10.1177/1362361319845563 · Cited by 46 · see citing works
“Even when studies included larger, heterogeneous samples of individuals with ASD and focused on patterns of variability in visual social engagement (Rice et al., 2012), participants’ average IQ was not in the range of intellectual disability (i.e. standard score below 70).”
InfluentialSchwartzman, J. S., Velloso, R. D. L., D’Antino, M. E. F., et al. (2015) · Arquivos de Neuro-Psiquiatria · doi:10.1590/0004-282x20150033 · Cited by 46 · see citing works
Ruta, L., Famà, F. I., Bernava, G. M., Leonardi, E., Tartarisco, G., Falzone, A., Pioggia, G., & Chakrabarti, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-03615-x · Cited by 44 · see citing works
Children with autism observe social interactions in an idiosyncratic manner
Avni, I., Meiri, G., Bar‐Sinai, A., Reboh, D., Manelis, L., Flusser, H., Michaelovski, A., Menashe, I., & Dinstein, I. (2019) · Autism Research · doi:10.1002/aur.2234 · Cited by 38 · see citing works
“Assessment of individual children is particularly important given the large heterogeneity in gaze behaviors of ASD children that is commonly reported in eye-tracking studies [Campbell, Shic, Macari, & Chawarska, 2014; Moore et al., 2018; Pierce et al., 2016; Rice et al., 2012].”
BackgroundInfluentialHutchins, T. L., & Brien, A. R. (2016) · Research in Autism · doi:10.1016/j.rasd.2016.03.006 · Cited by 42 · see citing works
The I in autism: Severity and social functioning in autism are related to self‐processing
Gillespie‐Smith, K., Ballantyne, C. J., Branigan, H. P., Turk, D. J., & Cunningham, S. J. (2017) · British Journal of Developmental Psychology · doi:10.1111/bjdp.12219 · Cited by 40 · see citing works
Designing AAC Systems for Children with Autism: Evidence from Eye Tracking Research
Gillespie‐Smith, K., & Fletcher‐Watson, S. (2014) · Augmentative and Alternative Communication · doi:10.3109/07434618.2014.905635 · Cited by 37 · see citing works
“Indeed, it is often found that the most atypical eye-movement patterns occur in participants with more severe communication impairments (e.g., Norbury et al., 2009; Rice et al., 2012; Takarae, Minshew, Luna, & Sweeney, 2004).”
BackgroundRice, K., Viscomi, B., Riggins, T., & Redcay, E. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.09.003 · Cited by 32 · see citing works
Self-citationGrynszpan, O., & Nadel, J. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01067 · Cited by 31 · see citing works
“Later research suggested that this correlation depended on the characteristics of the video material, such as the number of characters displayed (Speer et al., 2007) or the space taken on the screen by human faces (Rice et al., 2012).”
Shaffer, R. C., Pedapati, E. V., Shic, F., Gaietto, K. M., Bowers, K. A., Wink, L. K., & Erickson, C. A. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2975-2 · Cited by 29 · see citing works
Social attention: What is it, how can we measure it, and what can it tell us about autism and ADHD?
Braithwaite, E., Gui, A., & Jones, E. J. H. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.05.007 · Cited by 31 · see citing works
Emotion recognition in children and adolescents with attention-deficit/hyperactivity disorder (ADHD)
Schwenck, C., Schneider, T., Schreckenbach, J., Zenglein, Y., Gensthaler, A., Taurines, R., Freitag, C. M., Schneider, W., & Romanos, M. (2013) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-013-0104-z · Cited by 33 · see citing works
Atypical integration of social cues for orienting to gaze direction in adults with autism
Ashwin, C., Hietanen, J. K., & Baron‐Cohen, S. (2015) · Molecular Autism · doi:10.1186/2040-2392-6-5 · Cited by 33 · see citing works
Gorrindo, P., Lane, C. J., Lee, E. B., McLaughlin, B., & Levitt, P. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068444 · Cited by 32 · see citing works
“Eye-tracking measures demonstrated a relationship between social disability and preferential visual scanning of non-social aspects of visual scenes; however this relationship was reversed in subgroups of individuals with ASD stratified by cognitive function [8].”
BackgroundScherf, K. S., Griffin, J. W., Judy, B., Whyte, E. M., Geier, C. F., Elbich, D., & Smyth, J. M. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-023682 · Cited by 29 · see citing works
Gaze patterns during scene processing in typical adults and adults with autism spectrum disorders
Rigby, S. N., Stoesz, B. M., & Jakobson, L. S. (2016) · Research in Autism · doi:10.1016/j.rasd.2016.01.012 · Cited by 30 · see citing works
Do Animals Engage Greater Social Attention in Autism? An Eye Tracking Analysis
Valiyamattam, G. J., Katti, H., Chaganti, V. K., O’Haire, M. E., & Sachdeva, V. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00727 · Cited by 28 · see citing works
A Trend on Autism Spectrum Disorder Research: Eye Tracking-EEG Correlative Analytics
Tan, G., Xu, K. J., Liu, J., & Liu, H. (2021) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2021.3102646 · Cited by 32 · see citing works
“Later, researchers applied ET to reveal the cognitive or perceptual variation in ASD subgroups [14], [15].”
MethodJohnels, J. Å., Gillberg, C., Falck‐Ytter, T., & Miniscalco, C. (2014) · Journal of Speech Language and Hearing Research · doi:10.1044/2014_jslhr-l-13-0268 · Cited by 30 · see citing works
Autonomic Responses to Social and Nonsocial Pictures in Adolescents With Autism Spectrum Disorder
Louwerse, A., Tulen, J. H. M., van der Geest, J. N., van der Ende, J., Verhulst, F. C., & Greaves‐Lord, K. (2013) · Autism Research · doi:10.1002/aur.1327 · Cited by 30 · see citing works
Attempting to “Increase Intake from the Input”: Attention and Word Learning in Children with Autism
Tenenbaum, E. J., Amso, D., Righi, G., & Sheinkopf, S. J. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3098-0 · Cited by 30 · see citing works
Habayeb, S., Tsang, T., Saulnier, C. A., Klaiman, C., JONES, W. R., Klin, A., & Edwards, L. A. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04730-x · Cited by 27 · see citing works
Self-citationGaze Behavior of Children with ASD toward Pictures of Facial Expressions
Matsuda, S., Minagawa‐Kawai, Y., & Yamamoto, J. (2015) · Autism Research and Treatment · doi:10.1155/2015/617190 · Cited by 28 · see citing works
“Although other eye-tracking studies on children or adolescents with ASD have found differences between ASD and TD [1, 3], one implication of this finding is that the presence of speech (spoken) and movement (dynamic) might be responsible for such differences.”
BackgroundTang, J. S. Y., Chen, N. T. M., Falkmer, M., Bölte, S., & Girdler, S. J. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04104-y · Cited by 26 · see citing works
Metcalfe, D., McKenzie, K., McCarty, K., & Pollet, T. V. (2019) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2018.12.008 · Cited by 26 · see citing works
Deep Neural Network Reveals the World of Autism From a First‐Person Perspective
Ruan, M., Webster, P. J., Li, X., & Wang, S. (2020) · Autism Research · doi:10.1002/aur.2376 · Cited by 26 · see citing works
The Gestures in 2–4-Year-Old Children With Autism Spectrum Disorder
Ye, Q., Liu, L., Lv, S., Cheng, S., Zhu, H., Xu, Y., Zou, X., & Deng, H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.604542 · Cited by 26 · see citing works
Evers, K., Kerkhof, I., Steyaert, J. G., Noens, I. L. J., & Wagemans, J. (2014) · Autism Research and Treatment · doi:10.1155/2014/345878 · Cited by 24 · see citing works
“Some evidence for increased reliance on mouth information and less sensitivity for the eyes was already found ([16, 27, 35, 36], but also see, e.”
BackgroundResultAntezana, L., Mosner, M. G., Troiani, V., & Yerys, B. E. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2661-9 · Cited by 25 · see citing works
“is also apparent later in life across free viewing (Klin et al. 2002; Nakano et al. 2010; Rice et al. 2012) and various visual”
BackgroundImitation Performance in Children with Autism and the Role of Visual Attention in Imitation
Bülbül, I. A., & Özdemir, S. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05726-5 · Cited by 23 · see citing works
“…Özdemir, 2021; Barbaro & Dissanayake, 2013; Chawarska et al., 2013; Dubey et al., 2017; Kasari et al., 1990; Klin et al., 2002a, Klin et al., 2002b; Rice et al., 2012; Sacrey et al., 2013; Vernetti et al., 2018; Vivanti & Dissanayake, 2014) and non-social stimuli (Anderson et al., 2006; Dubey et…”
BackgroundFlevaris, A. V., & Murray, S. O. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01017 · Cited by 23 · see citing works
“…is unknown whether a similar reduction in surround suppression will be found in individuals with ASD, given the high degree of variability in visual processing characteristics across individuals with ASD (e.g., Spiker et al., 2002; Volkmar et al., 2004; Newschaffer et al., 2007; Rice et al., 2012).”
BackgroundMansour, H., & Kuhn, G. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021818819094 · Cited by 20 · see citing works
What Can Eye Movements Tell Us about Subtle Cognitive Processing Differences in Autism?
Howard, P. L., Zhang, L., & Benson, V. (2019) · Vision · doi:10.3390/vision3020022 · Cited by 25 · see citing works
“[75] found that this relationship varied significantly based on intelligence quotient (IQ) score characteristics.”
BackgroundMirror me: Imitative responses in adults with autism
Schunke, O., Schöttle, D., Vettorazzi, E., Brandt, V. C., Kahl, U., Bäumer, T., Ganos, C., David, N., Peiker, I., Engel, A. K., et al. (2015) · Autism · doi:10.1177/1362361315571757 · Cited by 23 · see citing works
“Attention to both social and non-social stimuli is impaired in ASD (Anderson et al., 2006; Rice et al., 2012).”
BackgroundThe Future of Disentangling the Heterogeneity of Autism With Neuroimaging Studies
Duan, X., Shan, X., Uddin, L. Q., & Chen, H. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.08.008 · Cited by 25 · see citing works
Autism, social cognition and superior temporal sulcus
Zilbovicius, M., Saitovitch, A., Popa, T., Rechtman, E., Diamandis, L., Chabane, N., Brunelle, F., Samson, Y., & Boddaert, N. (2013) · Open Journal of Psychiatry · doi:10.4236/ojpsych.2013.32a008 · Cited by 21 · see citing works
“to eyes and face areas and more to body and objects when watching scenes from a movie [34] and, when engaged in semi-naturalistic interaction with a familiar”
BackgroundInfluence of number, location and size of faces on gaze in video
Rahman, A. U., Pellerin, D., & Houzet, D. (2014) · Journal of Eye Movement Research · doi:10.16910/jemr.7.2.5 · Cited by 22 · see citing works
“This is coherent with previous studies obtaining from 50% to 80% of fixations on face (Rice et al., 2012; Riby & Hancock, 2009; Smith & Mital, 2013).”
BackgroundResultMcParland, A., Gallagher, S. M., & Keenan, M. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-021-04906-z · Cited by 19 · see citing works
Kaliukhovich, D. A., Manyakov, N. V., Bangerter, A., Ness, S. L., Skalkin, A., Goodwin, M. S., Dawson, G., Hendren, R. L., LEVENTHAL, B. L., Hudac, C. M., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00388-5 · Cited by 20 · see citing works
A map of assistive technology educative instruments in neurodevelopmental disorders
Pontikas, C.-M., Tsoukalas, E., & Serdari, A. (2020) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2020.1839580 · Cited by 22 · see citing works
Amaral, C. P., Simões, M. A., & Castelo‐Branco, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121970 · Cited by 20 · see citing works
“paramount importance in important fields such as developmental neuroscience [3] and autism research, where complex social attention deficits are present [2,4].”
Back to Basic: Do Children with Autism Spontaneously Look at Screen Displaying a Face or an Object?
Guimard‐Brunault, M., Aguillon-Hernandez, N., Roché, L., Roux, S., Barthélémy, C., Martineau, J., & Bonnet‐Brilhault, F. (2013) · Autism Research and Treatment · doi:10.1155/2013/835247 · Cited by 21 · see citing works
“reported a significantly reduced fixation on faces in ASD compared to controls [15].”
BackgroundStagg, S. D., Linnell, K. J., & Heaton, P. F. (2014) · Development and Psychopathology · doi:10.1017/s0954579414000108 · Cited by 19 · see citing works
Chen, C.-P., Gau, S. S., & Lee, C.-C. (2018) · Computer Speech & Language · doi:10.1016/j.csl.2018.12.003 · Cited by 19 · see citing works
Siller, M., & Morgan, L. (2018) · Autism and child psychopathology series · doi:10.1007/978-3-319-90994-3_1 · Cited by 19 · see citing works
- Authors
- Rice, K., Moriuchi, J. M., Jones, W., & Klin, A.
- Affiliations
- Emory University (US)
- Corresponding author
- Klin, Ami
- ORCID
- 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)
- PMC
- PMC3306820
- 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
- bronze
- doi.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review