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Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data

This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy which is processed by low‐level motion detectors. Mod...

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Detalles Bibliográficos
Autores principales: Silva, Andrew E., Thompson, Benjamin, Liu, Zili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721233/
https://www.ncbi.nlm.nih.gov/pubmed/32881175
http://dx.doi.org/10.1002/hbm.25198
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author Silva, Andrew E.
Thompson, Benjamin
Liu, Zili
author_facet Silva, Andrew E.
Thompson, Benjamin
Liu, Zili
author_sort Silva, Andrew E.
collection PubMed
description This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy which is processed by low‐level motion detectors. Models of motion processing propose a mechanism called motion opponency that reduces flicker processing. Motion opponency involves the pooling of local motion signals to calculate an overall motion direction. A neural correlate of motion opponency has been observed in human area MT+/V5, whereby stimuli with perfectly balanced motion energy constructed from dots moving in counter‐phase elicit a weaker response than nonbalanced (in‐phase) motion stimuli. Building on this previous work, we used multivariate pattern analysis to examine whether the activation patterns elicited by motion opponent stimuli resemble that elicited by flicker noise across the human visual cortex. Robust multivariate signatures of opponency were observed in V5 and in V3A. Our results support the notion that V5 is centrally involved in motion opponency and in the reduction of flicker. Furthermore, these results demonstrate the utility of multivariate analysis methods in revealing the role of additional visual areas, such as V3A, in opponency and in motion processing more generally.
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spelling pubmed-77212332020-12-11 Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data Silva, Andrew E. Thompson, Benjamin Liu, Zili Hum Brain Mapp Research Articles This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy which is processed by low‐level motion detectors. Models of motion processing propose a mechanism called motion opponency that reduces flicker processing. Motion opponency involves the pooling of local motion signals to calculate an overall motion direction. A neural correlate of motion opponency has been observed in human area MT+/V5, whereby stimuli with perfectly balanced motion energy constructed from dots moving in counter‐phase elicit a weaker response than nonbalanced (in‐phase) motion stimuli. Building on this previous work, we used multivariate pattern analysis to examine whether the activation patterns elicited by motion opponent stimuli resemble that elicited by flicker noise across the human visual cortex. Robust multivariate signatures of opponency were observed in V5 and in V3A. Our results support the notion that V5 is centrally involved in motion opponency and in the reduction of flicker. Furthermore, these results demonstrate the utility of multivariate analysis methods in revealing the role of additional visual areas, such as V3A, in opponency and in motion processing more generally. John Wiley & Sons, Inc. 2020-09-02 /pmc/articles/PMC7721233/ /pubmed/32881175 http://dx.doi.org/10.1002/hbm.25198 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Silva, Andrew E.
Thompson, Benjamin
Liu, Zili
Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title_full Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title_fullStr Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title_full_unstemmed Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title_short Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data
title_sort motion opponency examined throughout visual cortex with multivariate pattern analysis of fmri data
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721233/
https://www.ncbi.nlm.nih.gov/pubmed/32881175
http://dx.doi.org/10.1002/hbm.25198
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