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Biological motion perception is differentially predicted by Autistic trait domains
We tested the relationship between biological motion perception and the Autism-Spectrum Quotient. In three experiments, we indexed observers’ performance on a classic left-right discrimination task in which participants were asked to report the facing direction of walkers containing solely structura...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667460/ https://www.ncbi.nlm.nih.gov/pubmed/31363154 http://dx.doi.org/10.1038/s41598-019-47377-0 |
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author | Lee, Ka Shu Chang, Dorita H. F. |
author_facet | Lee, Ka Shu Chang, Dorita H. F. |
author_sort | Lee, Ka Shu |
collection | PubMed |
description | We tested the relationship between biological motion perception and the Autism-Spectrum Quotient. In three experiments, we indexed observers’ performance on a classic left-right discrimination task in which participants were asked to report the facing direction of walkers containing solely structural or kinematics information, a motion discrimination task in which participants were asked to indicate the apparent motion of a (non-biological) random-dot stimulus, and a novel naturalness discrimination task. In the naturalness discrimination task, we systematically manipulated the degree of natural acceleration contained in the stimulus by parametrically morphing between a fully veridical stimulus and one where acceleration was removed. Participants were asked to discriminate the more natural stimulus (i.e., acceleration-containing stimulus) from the constant velocity stimulus. Although we found no reliable associations between overall AQ scores nor subdomain scores with performance on the direction-related tasks, we found a robust association between performance on the biological motion naturalness task and attention switching domain scores. Our findings suggest that understanding the relationship between the Autism Spectrum and perception is a far more intricate problem than previously suggested. While it has been shown that the AQ can be used as a proxy to tap into perceptual endophenotypes in Autism, the eventual diagnostic value of the perceptual task depends on the task’s consideration of biological content and demands. |
format | Online Article Text |
id | pubmed-6667460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66674602019-08-06 Biological motion perception is differentially predicted by Autistic trait domains Lee, Ka Shu Chang, Dorita H. F. Sci Rep Article We tested the relationship between biological motion perception and the Autism-Spectrum Quotient. In three experiments, we indexed observers’ performance on a classic left-right discrimination task in which participants were asked to report the facing direction of walkers containing solely structural or kinematics information, a motion discrimination task in which participants were asked to indicate the apparent motion of a (non-biological) random-dot stimulus, and a novel naturalness discrimination task. In the naturalness discrimination task, we systematically manipulated the degree of natural acceleration contained in the stimulus by parametrically morphing between a fully veridical stimulus and one where acceleration was removed. Participants were asked to discriminate the more natural stimulus (i.e., acceleration-containing stimulus) from the constant velocity stimulus. Although we found no reliable associations between overall AQ scores nor subdomain scores with performance on the direction-related tasks, we found a robust association between performance on the biological motion naturalness task and attention switching domain scores. Our findings suggest that understanding the relationship between the Autism Spectrum and perception is a far more intricate problem than previously suggested. While it has been shown that the AQ can be used as a proxy to tap into perceptual endophenotypes in Autism, the eventual diagnostic value of the perceptual task depends on the task’s consideration of biological content and demands. Nature Publishing Group UK 2019-07-30 /pmc/articles/PMC6667460/ /pubmed/31363154 http://dx.doi.org/10.1038/s41598-019-47377-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lee, Ka Shu Chang, Dorita H. F. Biological motion perception is differentially predicted by Autistic trait domains |
title | Biological motion perception is differentially predicted by Autistic trait domains |
title_full | Biological motion perception is differentially predicted by Autistic trait domains |
title_fullStr | Biological motion perception is differentially predicted by Autistic trait domains |
title_full_unstemmed | Biological motion perception is differentially predicted by Autistic trait domains |
title_short | Biological motion perception is differentially predicted by Autistic trait domains |
title_sort | biological motion perception is differentially predicted by autistic trait domains |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6667460/ https://www.ncbi.nlm.nih.gov/pubmed/31363154 http://dx.doi.org/10.1038/s41598-019-47377-0 |
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