Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeon, Hyun-Jun, Yun, Yeojeong, Kwon, Oh-Sang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
_version_ 1783540272411443200
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
work_keys_str_mv AT jeonhyunjun integrationofpositionandpredictivemotionsignalsinagingvision
AT yunyeojeong integrationofpositionandpredictivemotionsignalsinagingvision
AT kwonohsang integrationofpositionandpredictivemotionsignalsinagingvision