Intact Visual Correlation Detection in Autistic Adults

The ability to detect recurring temporal co-occurrence, or temporal correlation, of sensory events is fundamental for organizing perceptual input into coherent representations. Although past work has revealed differences across several aspects of temporal processing in autism, it is unknown whether autistic and non-autistic individuals differ in the key computation of correlation detection. Here, we examined this question in the visual domain using an online task. A total of 143 age- and sex-matched adults (73 autistic, 70 non-autistic) viewed sequences in which three visual elements stochastically alternated between bright and dark states. Two of these were disks, and the third was a surrounding annulus. Participants indicated which of the two disks co-occurred more reliably with the annulus. Accuracy increased systematically with correlation strength in both groups, but there were no significant group differences and no negative association between performance and autistic trait scores when controlling for nonverbal IQ. These findings suggest that visual correlation detection, under the conditions tested here, is preserved in autistic adults. This points to a key aspect of temporal processing in autism that may provide a stable foundation for perceptual organization even amid challenges reported in other timing-related domains, such as higher-level temporal prediction. These results set the stage for future research to identify the mechanisms underlying both preserved and divergent temporal processes, and to translate these findings into evidence-based support that builds on the observed strengths of autistic individuals.

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Publication Details

Journal
Autism Research
Published
2026-08-03
DOI
https://doi.org/10.1002/aur.70339
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Intact Visual Correlation Detection in Autistic Adults

Lukas Vogelsang, Marin Vogelsang, Cindy Li, Charles A. Nelson et al.
Autism Research
Autism Spectrum Disorder Research
article

Intact Visual Correlation Detection in Autistic Adults

Lukas Vogelsang, Marin Vogelsang, Cindy Li, Charles A. Nelson, Annie Cardinaux, Margaret Kjelgaard, Pawan Sinha
article en

Abstract

The ability to detect recurring temporal co-occurrence, or temporal correlation, of sensory events is fundamental for organizing perceptual input into coherent representations. Although past work has revealed differences across several aspects of temporal processing in autism, it is unknown whether autistic and non-autistic individuals differ in the key computation of correlation detection. Here, we examined this question in the visual domain using an online task. A total of 143 age- and sex-matched adults (73 autistic, 70 non-autistic) viewed sequences in which three visual elements stochastically alternated between bright and dark states. Two of these were disks, and the third was a surrounding annulus. Participants indicated which of the two disks co-occurred more reliably with the annulus. Accuracy increased systematically with correlation strength in both groups, but there were no significant group differences and no negative association between performance and autistic trait scores when controlling for nonverbal IQ. These findings suggest that visual correlation detection, under the conditions tested here, is preserved in autistic adults. This points to a key aspect of temporal processing in autism that may provide a stable foundation for perceptual organization even amid challenges reported in other timing-related domains, such as higher-level temporal prediction. These results set the stage for future research to identify the mechanisms underlying both preserved and divergent temporal processes, and to translate these findings into evidence-based support that builds on the observed strengths of autistic individuals.

Autism Research
Boston Children's Hospital (US), Harvard University (US), McGovern Institute for Brain Research (US), Bridgewater State University (US), Institute of Cognitive and Brain Sciences (US), Massachusetts Institute of Technology (US), Center for Autism and Related Disorders (US)
Yamada Science Foundation, National Institutes of Health, Simons Center for the Social Brain, Massachusetts Institute of Technology, Japan Society for the Promotion of Science
Quality Education
Openalex Percentile: Top 8%
Autism Spectrum Disorder Research
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