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Integration of Position and Predictive Motion Signals in Aging Vision
We examined the effect of aging on the integration of position and motion signals, which is essential for tracking visual objects, using the motion-induced position shift (MIPS) phenomenon. We first measured the MIPS and bias in speed perception at three eccentricities. Both young and older adults s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260223/ https://www.ncbi.nlm.nih.gov/pubmed/32472035 http://dx.doi.org/10.1038/s41598-020-65568-y |
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author | Jeon, Hyun-Jun Yun, Yeojeong Kwon, Oh-Sang |
author_facet | Jeon, Hyun-Jun Yun, Yeojeong Kwon, Oh-Sang |
author_sort | Jeon, Hyun-Jun |
collection | PubMed |
description | We examined the effect of aging on the integration of position and motion signals, which is essential for tracking visual objects, using the motion-induced position shift (MIPS) phenomenon. We first measured the MIPS and bias in speed perception at three eccentricities. Both young and older adults showed the increasing MIPS and decreasing perceived speed as the eccentricity increased, which is consistent with previous literature. More importantly, we found that the mean MIPS was 2.87 times larger in older adults, and the response variability in position tasks showed a larger difference between age groups compared with the difference in speed tasks. We then measured the MIPS across stimulus durations. Temporal changes in the MIPS showed similar patterns in young and older adults in that the MIPS initially peaked at around 60 ms and approached an asymptote. We further analyzed the changes in response variability across stimulus durations to estimate sensory noise and propagation noise separately and found that only sensory noise was significantly larger in older adults. The overall results suggest that the increased MIPS in older adults is due to the increased dependency on predictive motion signals to compensate for the relatively imprecise position signals, which in turn implies that older adults would depend more on the motion signals to track objects. |
format | Online Article Text |
id | pubmed-7260223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72602232020-06-05 Integration of Position and Predictive Motion Signals in Aging Vision Jeon, Hyun-Jun Yun, Yeojeong Kwon, Oh-Sang Sci Rep Article We examined the effect of aging on the integration of position and motion signals, which is essential for tracking visual objects, using the motion-induced position shift (MIPS) phenomenon. We first measured the MIPS and bias in speed perception at three eccentricities. Both young and older adults showed the increasing MIPS and decreasing perceived speed as the eccentricity increased, which is consistent with previous literature. More importantly, we found that the mean MIPS was 2.87 times larger in older adults, and the response variability in position tasks showed a larger difference between age groups compared with the difference in speed tasks. We then measured the MIPS across stimulus durations. Temporal changes in the MIPS showed similar patterns in young and older adults in that the MIPS initially peaked at around 60 ms and approached an asymptote. We further analyzed the changes in response variability across stimulus durations to estimate sensory noise and propagation noise separately and found that only sensory noise was significantly larger in older adults. The overall results suggest that the increased MIPS in older adults is due to the increased dependency on predictive motion signals to compensate for the relatively imprecise position signals, which in turn implies that older adults would depend more on the motion signals to track objects. Nature Publishing Group UK 2020-05-29 /pmc/articles/PMC7260223/ /pubmed/32472035 http://dx.doi.org/10.1038/s41598-020-65568-y Text en © The Author(s) 2020 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 Jeon, Hyun-Jun Yun, Yeojeong Kwon, Oh-Sang Integration of Position and Predictive Motion Signals in Aging Vision |
title | Integration of Position and Predictive Motion Signals in Aging Vision |
title_full | Integration of Position and Predictive Motion Signals in Aging Vision |
title_fullStr | Integration of Position and Predictive Motion Signals in Aging Vision |
title_full_unstemmed | Integration of Position and Predictive Motion Signals in Aging Vision |
title_short | Integration of Position and Predictive Motion Signals in Aging Vision |
title_sort | integration of position and predictive motion signals in aging vision |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260223/ https://www.ncbi.nlm.nih.gov/pubmed/32472035 http://dx.doi.org/10.1038/s41598-020-65568-y |
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