Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta‐Analysis

There is a growing body of evidence suggesting a concurrent association between attentional indices measured via eye tracking and autism symptoms. This meta-analysis examined the utility of eye tracking within longitudinal frameworks for autism interventions, including treatment monitoring and prediction of treatment response. We conducted a multivariate random-effects meta-analysis with a multilevel structure on 25 studies (828 autistic participants; M <sub>age</sub> = 3-28 years) to estimate: (a) changes in eye-tracking outcomes from pre- to post-treatment (k = 179); and (b) the correlation between baseline eye-tracking profiles and changes in developmental outcomes following treatment (k = 39). Our analysis revealed a moderate and significant summary effect size for changes in eye-tracking outcomes from pre- to post-treatment (Hedge's g = 0.32, p = 0.010). Additionally, a moderate but non-significant summary effect size was revealed for the correlation between baseline eye-tracking outcomes and changes in developmental outcomes following treatment (Fisher's z = 0.20, p = 0.115), with moderation effects observed based on developmental domain and sex. These findings highlight the potential of eye tracking as a tool for monitoring treatment-induced changes in autistic individuals, while its predictive utility remains less supported. Limitations and implications are discussed.

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Publication Details

Journal
Autism Research
Published
2025-11-14
DOI
https://doi.org/10.1002/aur.70141
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta‐Analysis

Adriana Kaori Terol, Yan Xia, Hedda Meadan, Frederick Shic et al.
Autism Research
Autism Spectrum Disorder Research
article

Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta‐Analysis

Adriana Kaori Terol, Yan Xia, Hedda Meadan, Frederick Shic, Christy D. Yoon
article en

Abstract

There is a growing body of evidence suggesting a concurrent association between attentional indices measured via eye tracking and autism symptoms. This meta-analysis examined the utility of eye tracking within longitudinal frameworks for autism interventions, including treatment monitoring and prediction of treatment response. We conducted a multivariate random-effects meta-analysis with a multilevel structure on 25 studies (828 autistic participants; M <sub>age</sub> = 3-28 years) to estimate: (a) changes in eye-tracking outcomes from pre- to post-treatment (k = 179); and (b) the correlation between baseline eye-tracking profiles and changes in developmental outcomes following treatment (k = 39). Our analysis revealed a moderate and significant summary effect size for changes in eye-tracking outcomes from pre- to post-treatment (Hedge's g = 0.32, p = 0.010). Additionally, a moderate but non-significant summary effect size was revealed for the correlation between baseline eye-tracking outcomes and changes in developmental outcomes following treatment (Fisher's z = 0.20, p = 0.115), with moderation effects observed based on developmental domain and sex. These findings highlight the potential of eye tracking as a tool for monitoring treatment-induced changes in autistic individuals, while its predictive utility remains less supported. Limitations and implications are discussed.

Autism ResearchVol. 18(12)
University of North Carolina at Charlotte (US), Seattle Children's Hospital (US), University of Wisconsin–Madison (US), University of Illinois Urbana-Champaign (US), University of Washington (US), University of California, Davis (US)
University of Wisconsin-Madison, National Institutes of Health, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 66%
Autism Spectrum Disorder Research
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