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Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex
The natural environment is dynamic and moving objects become constantly occluded, engaging the brain in a challenging completion process to estimate where and when the object might reappear. Although motion extrapolation is critical in daily life—imagine crossing the street while an approaching car...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921241/ https://www.ncbi.nlm.nih.gov/pubmed/36288211 http://dx.doi.org/10.1002/hbm.26123 |
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author | Agostino, Camila Silveira Merkel, Christian Ball, Felix Vavra, Peter Hinrichs, Hermann Noesselt, Toemme |
author_facet | Agostino, Camila Silveira Merkel, Christian Ball, Felix Vavra, Peter Hinrichs, Hermann Noesselt, Toemme |
author_sort | Agostino, Camila Silveira |
collection | PubMed |
description | The natural environment is dynamic and moving objects become constantly occluded, engaging the brain in a challenging completion process to estimate where and when the object might reappear. Although motion extrapolation is critical in daily life—imagine crossing the street while an approaching car is occluded by a larger standing vehicle—its neural underpinnings are still not well understood. While the engagement of low‐level visual cortex during dynamic occlusion has been postulated, most of the previous group‐level fMRI‐studies failed to find evidence for an involvement of low‐level visual areas during occlusion. In this fMRI‐study, we therefore used individually defined retinotopic maps and multivariate pattern analysis to characterize the neural basis of visible and occluded changes in motion direction in humans. To this end, participants learned velocity‐direction change pairings (slow motion‐upwards; fast motion‐downwards or vice versa) during a training phase without occlusion and judged the change in stimulus direction, based on its velocity, during a following test phase with occlusion. We find that occluded motion direction can be predicted from the activity patterns during visible motion within low‐level visual areas, supporting the notion of a mental representation of motion trajectory in these regions during occlusion. |
format | Online Article Text |
id | pubmed-9921241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99212412023-02-13 Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex Agostino, Camila Silveira Merkel, Christian Ball, Felix Vavra, Peter Hinrichs, Hermann Noesselt, Toemme Hum Brain Mapp Research Articles The natural environment is dynamic and moving objects become constantly occluded, engaging the brain in a challenging completion process to estimate where and when the object might reappear. Although motion extrapolation is critical in daily life—imagine crossing the street while an approaching car is occluded by a larger standing vehicle—its neural underpinnings are still not well understood. While the engagement of low‐level visual cortex during dynamic occlusion has been postulated, most of the previous group‐level fMRI‐studies failed to find evidence for an involvement of low‐level visual areas during occlusion. In this fMRI‐study, we therefore used individually defined retinotopic maps and multivariate pattern analysis to characterize the neural basis of visible and occluded changes in motion direction in humans. To this end, participants learned velocity‐direction change pairings (slow motion‐upwards; fast motion‐downwards or vice versa) during a training phase without occlusion and judged the change in stimulus direction, based on its velocity, during a following test phase with occlusion. We find that occluded motion direction can be predicted from the activity patterns during visible motion within low‐level visual areas, supporting the notion of a mental representation of motion trajectory in these regions during occlusion. John Wiley & Sons, Inc. 2022-10-26 /pmc/articles/PMC9921241/ /pubmed/36288211 http://dx.doi.org/10.1002/hbm.26123 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Agostino, Camila Silveira Merkel, Christian Ball, Felix Vavra, Peter Hinrichs, Hermann Noesselt, Toemme Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title | Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title_full | Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title_fullStr | Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title_full_unstemmed | Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title_short | Seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
title_sort | seeing and extrapolating motion trajectories share common informative activation patterns in primary visual cortex |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921241/ https://www.ncbi.nlm.nih.gov/pubmed/36288211 http://dx.doi.org/10.1002/hbm.26123 |
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