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Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits
Recent research proposes that sensorimotor difficulties, such as those experienced by many autistic people, may arise from atypicalities in prediction. Accordingly, we examined the relationship between non-clinical autistic-like traits and sensorimotor prediction in the material-weight illusion, whe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675774/ https://www.ncbi.nlm.nih.gov/pubmed/31250036 http://dx.doi.org/10.1007/s00221-019-05586-z |
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author | Arthur, Tom Vine, Sam Brosnan, Mark Buckingham, Gavin |
author_facet | Arthur, Tom Vine, Sam Brosnan, Mark Buckingham, Gavin |
author_sort | Arthur, Tom |
collection | PubMed |
description | Recent research proposes that sensorimotor difficulties, such as those experienced by many autistic people, may arise from atypicalities in prediction. Accordingly, we examined the relationship between non-clinical autistic-like traits and sensorimotor prediction in the material-weight illusion, where prior expectations derived from material cues typically bias one’s perception and action. Specifically, prediction-related tendencies in perception of weight, gaze patterns, and lifting actions were probed using a combination of self-report, eye-tracking, motion-capture, and force-based measures. No prediction-related associations between autistic-like traits and sensorimotor control emerged for any of these variables. Follow-up analyses, however, revealed that greater autistic-like traits were correlated with reduced adaptation of gaze with changes in environmental uncertainty. These findings challenge proposals of gross predictive atypicalities in autistic people, but suggest that the dynamic integration of prior information and environmental statistics may be related to autistic-like traits. Further research into this relationship is warranted in autistic populations, to assist the development of future movement-based coaching methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00221-019-05586-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6675774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-66757742019-08-14 Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits Arthur, Tom Vine, Sam Brosnan, Mark Buckingham, Gavin Exp Brain Res Research Article Recent research proposes that sensorimotor difficulties, such as those experienced by many autistic people, may arise from atypicalities in prediction. Accordingly, we examined the relationship between non-clinical autistic-like traits and sensorimotor prediction in the material-weight illusion, where prior expectations derived from material cues typically bias one’s perception and action. Specifically, prediction-related tendencies in perception of weight, gaze patterns, and lifting actions were probed using a combination of self-report, eye-tracking, motion-capture, and force-based measures. No prediction-related associations between autistic-like traits and sensorimotor control emerged for any of these variables. Follow-up analyses, however, revealed that greater autistic-like traits were correlated with reduced adaptation of gaze with changes in environmental uncertainty. These findings challenge proposals of gross predictive atypicalities in autistic people, but suggest that the dynamic integration of prior information and environmental statistics may be related to autistic-like traits. Further research into this relationship is warranted in autistic populations, to assist the development of future movement-based coaching methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00221-019-05586-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-06-27 2019 /pmc/articles/PMC6675774/ /pubmed/31250036 http://dx.doi.org/10.1007/s00221-019-05586-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Research Article Arthur, Tom Vine, Sam Brosnan, Mark Buckingham, Gavin Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title | Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title_full | Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title_fullStr | Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title_full_unstemmed | Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title_short | Exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
title_sort | exploring how material cues drive sensorimotor prediction across different levels of autistic-like traits |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675774/ https://www.ncbi.nlm.nih.gov/pubmed/31250036 http://dx.doi.org/10.1007/s00221-019-05586-z |
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