Development and validation of an Arabic language eye-tracking paradigm for the early screening and diagnosis of autism spectrum disorders in Qatar.

Abnormal eye gaze is a hallmark characteristic of autism spectrum disorder (ASD). The primary aim of the present research was to develop an Arabic version of an objective measure of ASD, the "autism index" (AI), based on eye gaze tracking to social and nonsocial stimuli validated initially in the United States. The initial phase of this study included the translation of English language eye-tracking stimuli into stimuli appropriate for an Arabic-speaking culture. During the second phase, we tested it on a total of 144 children with ASD, and 96 controls. The AI had excellent internal consistency and test-retest reliability. Moreover, the AI showed good differentiation of ASD from control cases (AUC = 0.730, SE = 0.035). The AI was significantly positively correlated with SCQ total raw scores (r = 0.46, p < 0.001). ADOS-2 scores were only available in the ASD group and did not show a significant relationship with AI scores (r = 0.10, p = 0.348), likely due to the restricted range. The AI, when implemented using Arabic-translated stimuli in a Qatari sample, showed good diagnostic differentiation and a strong correlation with parent-reported ASD symptoms. Thus, the AI appears to have cross-cultural validity and may be useful as a diagnostic aide to inform clinical judgment and track ASD symptom levels as part of the evaluation process.

Categorical versus dimensional structure of autism spectrum disorder: A multi-method investigation.

Background: A key question for any psychopathological diagnosis is whether the condition is continuous or discontinuous with typical variation. The primary objective of this study was to use a multi-method approach to examine the broad latent categorical versus dimensional structure of autism spectrum disorder (ASD). Method: Data were aggregated across seven independent samples of participants with ASD, other neurodevelopmental disorders (NDD), and non-ASD/NDD controls (aggregate Ns = 512-16,755; ages 1.5-22). Scores from four distinct phenotype measures formed composite "indicators" of the latent ASD construct. The primary indicator set included eye gaze metrics from seven distinct social stimulus paradigms. Logistic regressions were used to combine gaze metrics within/across paradigms, and derived predicted probabilities served as indicator values. Secondary indicator sets were constructed from clinical observation and parent-report measures of ASD symptoms. Indicator sets were submitted to taxometric- and latent class analyses. Results: Across all indicator sets and analytic methods, there was strong support for categorical structure corresponding closely to ASD diagnosis. Consistent with notions of substantial phenotypic heterogeneity, the ASD category had a wide range of symptom severity. Despite the examination of a large sample with a wide range of IQs in both genders, males and children with lower IQ were over-represented in the ASD category, similar to observations in diagnosed cases. Conclusions: Our findings provide strong support for categorical structure corresponding closely to ASD diagnosis. The present results bolster the use of well-diagnosed and representative ASD groups within etiologic and clinical research, motivating the ongoing search for major drivers of the ASD phenotype. Despite the categorical structure of ASD, quantitative symptom measurements appear more useful for examining relationships with other factors.

Social attention as a cross-cultural transdiagnostic neurodevelopmental risk marker.

The primary objectives of this study were to evaluate the structure and age-related stability of social attention in English and Arabic-speaking youth and to compare social attention between children with autism spectrum disorder (ASD), other developmental disabilities (DD), and typically-developing controls. Eye-tracking data were collected from US (N = 270) and Qatari (N = 242) youth ages 1-17, including children evaluated for possible ASD. Participants viewed 44 stimuli from seven social paradigms. Fixation was computed for areas of interest within each stimulus. Latent variable models examined the structure of social attention. Generalized estimating equation models examined the effect of age, sex, culture, and diagnostic group on social attention. The best-fitting model included a general social attention factor and six specific factors. Cultural differences in social attention were minimal and social attention was stable across age (r = 0.03), but females showed significantly greater social attention than males (d = 0.28). Social attention was weaker in DD (d = -0.17) and lowest in ASD (d = -0.38) relative to controls. Differences were of sufficient magnitude across areas-of-interest to reliably differentiate DD from controls (AUC = 0.80) and ASD-only from all other cases (AUC = 0.76). A social attention dimension that represents an early-life preference for socially salient information was identified. This preference was cross-culturally consistent and stable across development but stronger in females and weaker in DD, especially ASD. Given rapid and easy-to-collect remote eye tracking administration, social attention measurement may be useful for developmental monitoring. Acquisition of population norms, analogous to height/weight/head circumference, might enhance early screening and tracking of neurodevelopment. LAY SUMMARY: This research found that social attention is a single dimension of behavior that represents a strong preference for social stimuli, is consistent across cultures, stable across age, and stronger in females. Children with developmental disabilities had lower levels of social attention than neurotypical children and children with autism spectrum disorder had the lowest levels of social attention.

A Longitudinal Study of Language Trajectories and Treatment Outcomes of Early Intensive Behavioral Intervention for Autism.

The present study examined language trajectories and placement outcomes for children with autism spectrum disorder (ASD) receiving early intensive behavioral intervention (EIBI). Language measures were collected at baseline and 6, 12, 18, 24, and 36 months or until exit from EIBI in 131 children with ASD. Growth models estimated overall and subgroup language trajectories. Overall, children receiving EIBI showed substantial increases in language relative to normative expectations. Earlier age at EIBI start, higher baseline cognitive function, and lower baseline ASD severity predicted better language trajectories. Although there was significant variability in language trajectories and educational outcomes, most children showed significant increases in language scores, relative to normative expectations. Additional research, in more representative samples, is needed to understand this variability.

The Use of Eye Tracking Technology in Aesthetic Surgery: Analyzing Changes in Facial Attention Following Surgery.

BACKGROUND: The ability to quantitatively analyze how we look at a face and determine if this changes following facial surgery should be of interest to the plastic surgeon. Eye tracking technology (ETT) provides the ability to record where observers fixate when viewing a facial image, enabling quantitative data to be obtained comparing pre- and postoperative changes. OBJECTIVES: The authors sought to investigate ETT as a novel outcome assessment tool, determining if facial rejuvenation surgery shifts attention away from the prominent signs of aging, and if so, where this attention shifts. METHODS: Twenty-five volunteers viewed 32 randomized frontal, oblique, and lateral images of 11 patients pre- and post-facelift. An eye movement monitoring system recorded the observer's eye position, net dwell time, fixation count, fixation time, and revisits into predefined areas of interest. Data were grouped and analyzed by angle and areas of interest. Paired t tests were employed to detect significant differences in pre- and post-images. RESULTS: On frontal images, less dwell time, fixations, and revisits were noted on the bottom third, forehead, perioral region, and neck (P < 0.05). On the lateral view, less visual attention was given to the neck, upper third, and perioral region, with more time in the cheek, nose, and middle third (P < 0.05). On oblique images, less attention was given to the neck and upper lid with more aimed at the middle third of the face (P < 0.05). CONCLUSIONS: ETT provides quantitative data post-facial rejuvenation. Facial aesthetic surgery does alter where observers look when viewing a face, decreasing the time spent inspecting the prominent signs of aging.

Development and Validation of Objective and Quantitative Eye Tracking-Based Measures of Autism Risk and Symptom Levels.

OBJECTIVE: The primary aim of this study was to develop and validate eye tracking-based measures for estimating autism spectrum disorder (ASD) risk and quantifying autism symptom levels. METHOD: Eye tracking data were collected from youth during an initial evaluation visit, with administrators blinded to all clinical information. Consensus diagnoses were given by the multidisciplinary team. Participants viewed a 5-minute video that included 44 dynamic stimuli from 7 distinct paradigms while gaze was recorded. Gaze metrics were computed for temporally defined regions of interest. Autism risk and symptom indices aggregated gaze measures showing significant bivariate relationships with ASD diagnosis and Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) symptom severity levels in a training sample (75%, n = 150). Receiver operating characteristic curve analysis and nonparametric correlations were used to cross-validate findings in a test sample (25%; n = 51). RESULTS: Most children (n = 201, 92%) completed a valid eye tracking assessment (ages 1.6─17.6; 80% male; ASD n = 91, non-ASD n = 110). In the test subsample, the autism risk index had high accuracy for ASD diagnosis (area under the curve [AUC] = 0.86, 95% CI =0.75-0.95), whereas the autism symptom index was strongly associated with ADOS-2 total severity scores (r = 0.41, p < .001). Validity was not substantively attenuated after adjustment for language, nonverbal cognitive ability, or other psychopathology symptoms (r = 0.40-0.67, p > .001). CONCLUSION: Eye tracking measures appear to be useful quantitative, objective measures of ASD risk and autism symptom levels. If independently replicated and scaled for clinical use, eye tracking-based measures could be used to inform clinical judgment regarding ASD identification and to track autism symptom levels.

A Meta-Analysis of Gaze Differences to Social and Nonsocial Information Between Individuals With and Without Autism.

OBJECTIVE: Numerous studies have identified abnormal gaze in individuals with autism. However, only some findings have been replicated, the magnitude of effects is unclear, and the pattern of gaze differences across stimuli remains poorly understood. To address these gaps, a comprehensive meta-analysis of autism eye-tracking studies was conducted. METHOD: PubMed and a manual search of 1,132 publications were used to identify studies comparing looking behavior to social and/or nonsocial stimuli between individuals with autism and controls. Sample characteristics, eye-tracking methods, stimulus features, and regions of interest (ROIs) were coded for each comparison within each study. Multivariate mixed-effects meta-regression analyses examined the impact of study methodology, stimulus features, and ROI on effect sizes derived from comparisons using gaze-fixation metrics. RESULTS: The search yielded 122 independent studies with 1,155 comparisons. Estimated effect sizes tended to be small to medium but varied substantially across stimuli and ROIs. Overall, nonsocial ROIs yielded larger effect sizes than social ROIs; however, eye and whole-face regions from stimuli with human interaction produced the largest effects (Hedges g = 0.47 and 0.50, respectively). Studies with weaker study designs or reporting yielded larger effects, but key effects remained significant and medium in size, even for high-rigor designs. CONCLUSION: Individuals with autism show a reliable pattern of gaze abnormalities that suggests a basic problem with selecting socially relevant versus irrelevant information for attention and that persists across ages and worsens during perception of human interactions. Aggregation of gaze abnormalities across stimuli and ROIs could yield clinically useful risk assessment and quantitative, objective outcome measurements.

Development of an Objective Autism Risk Index Using Remote Eye Tracking.

OBJECTIVE: Abnormal eye gaze is a hallmark characteristic of autism spectrum disorder (ASD), and numerous studies have identified abnormal attention patterns in ASD. The primary aim of the present study was to create an objective, eye tracking-based autism risk index. METHOD: In initial and replication studies, children were recruited after referral for comprehensive multidisciplinary evaluation of ASD and subsequently grouped by clinical consensus diagnosis (ASD n = 25/15, non-ASD n = 20/19 for initial/replication samples). Remote eye tracking was blinded to diagnosis and included multiple stimuli. Dwell times were recorded to each a priori-defined region of interest (ROI) and averaged across ROIs to create an autism risk index. Receiver operating characteristic curve analyses examined classification accuracy. Correlations with clinical measures evaluated whether the autism risk index was associated with autism symptom severity independent of language ability. RESULTS: In both samples, the autism risk index had high diagnostic accuracy (area under the curve [AUC] = 0.91 and 0.85, 95% CIs = 0.81-0.98 and 0.71-0.96), was strongly associated with Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) severity scores (r = 0.58 and 0.59, p < .001), and not significantly correlated with language ability (r ≤| -0.28|, p > .095). CONCLUSION: The autism risk index may be a useful quantitative and objective measure of risk for autism in at-risk settings. Future research in larger samples is needed to cross-validate these findings. If validated and scaled for clinical use, this measure could inform clinical judgment regarding ASD diagnosis and track symptom improvements.