Examining the Temporal Limits of Enhanced Visual Feature Detection in Children With Autism

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Kopec, J., Hagmann, C., Shea, N., Prawl, A., Batkin, D., & Russo, N. (2020). Examining the Temporal Limits of Enhanced Visual Feature Detection in Children With Autism. Autism Research, 13(9), 1561-1572. https://doi.org/10.1002/aur.2361

Publication date: 1 Sep 2020 Added to AutiHub: 20 Sep 2026 Type: Article Article language: English
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Authors

Publication authors
6
Publication authors identified as autistic
1 / 6 (16.7%)
  1. Justin Kopec
  2. Carl Hagmann
  3. Nicole Shea
  1. Alyssa Prawl
  2. Daniel Batkin *
  3. Natalie Russo

Abstract

The enhanced perceptual processing of visual features in children with autism spectrum disorder (ASD) is supported by an abundance of evidence in the spatial domain, with less robust evidence regarding whether this extends to information presented across time. The current study aimed to replicate and extend previous work finding that children with an ASD demonstrated enhanced perceptual accuracy in detecting feature‐based (but not categorically defined) targets in time, when these were presented quickly, at a stimulus onset asynchrony (SOA) of 50 ms per item. Specifically, we extend the range of SOAs to examine the temporal boundaries of this enhanced accuracy and examine whether there is a relationship between ASD‐related traits and detection accuracy on temporal visual search tasks. Individuals with autism perceived feature‐based targets with statistically higher accuracy than their typically developing peers between SOAs of 39 and 65 ms and were numerically faster at all SOAs. No group differences were noted for category‐based task accuracy. Our results also demonstrated that ASD‐related traits measured by the autism spectrum quotient were positively correlated with accuracy on the feature‐based task. Overall, results suggest that accurate visual perception of features (particularly color) is enhanced in children with ASD across time. Lay Summary Our results suggest that children with autism are able to process visual features, such as color, more accurately than typically developing children, even when these are presented very rapidly. Accuracy was higher in children with higher levels of autism‐related traits and symptoms. Our findings suggest that more accurate visual perception exists not only across space in children with autism, as much of the existing literature demonstrates, but also over time. Autism Res 2020, 13: 1561–1572. © 2020 International Society for Autism Research, Wiley Periodicals, Inc.

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 01:01.

Cited references
73
With a DOI
70
Without a DOI, from raw bibliography text
3
4 / 73 (5.5%) cited references include at least one author identified as autistic.
References with data to complete
1 / 73 (1.4%)
References with detected author names
72 / 73 (98.6%)
Without detected author names
1
Without a structured title
1
Without a stable identifier
3
References with raw author names still to review
1
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
312
From DOI or external metadata
312
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
1
117 / 312 (37.5%) names are linked to an author already present in AutiHub. 195 / 312 (62.5%) names are not yet linked.
Names linked to a person identified as autistic
4 / 312 (1.3%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 4 / 117 (3.4%). Distinct people identified as autistic: 1 / 229 (0.4%).
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