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Diagnosis of colour vision deficits using eye movements

We set out to develop a simple objective test of functional colour vision based on eye movements made in response to moving patterns. We exploit the finding that while the motion of a colour-defined stimulus can be cancelled by adding a low-contrast luminance-defined stimulus moving in the opposite...

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Autores principales: Taore, Aryaman, Lobo, Gabriel, Turnbull, Philip R., Dakin, Steven C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095692/
https://www.ncbi.nlm.nih.gov/pubmed/35562176
http://dx.doi.org/10.1038/s41598-022-11152-5
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author Taore, Aryaman
Lobo, Gabriel
Turnbull, Philip R.
Dakin, Steven C.
author_facet Taore, Aryaman
Lobo, Gabriel
Turnbull, Philip R.
Dakin, Steven C.
author_sort Taore, Aryaman
collection PubMed
description We set out to develop a simple objective test of functional colour vision based on eye movements made in response to moving patterns. We exploit the finding that while the motion of a colour-defined stimulus can be cancelled by adding a low-contrast luminance-defined stimulus moving in the opposite direction, the “equivalent luminance contrast” required for such cancellation is reduced when colour vision is abnormal. We used a consumer-grade infrared eye-tracker to measure eye movements made in response to coloured patterns drifting at different speeds. An automated analysis of these movements estimated individuals’ red-green equiluminant point and their equivalent luminance contrast. We tested 34 participants: 23 colour vision normal controls, 9 deuteranomalous and 2 protanomalous individuals. We obtained reliable estimates of strength of directed eye movements (i.e. combined optokinetic and voluntary tracking) for stimuli moving at 16 deg/s and could use these data to classify participants’ colour vision status with a sensitivity rate of 90.9% and a specificity rate of 91.3%. We conclude that an objective test of functional colour vision combining a motion-nulling technique with an automated analysis of eye movements can diagnose and assess the severity of protanopia and deuteranopia. The test places minimal demands on patients (who simply view a series of moving patterns for less than 90 s), requires modest operator expertise, and can be run on affordable hardware.
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spelling pubmed-90956922022-05-13 Diagnosis of colour vision deficits using eye movements Taore, Aryaman Lobo, Gabriel Turnbull, Philip R. Dakin, Steven C. Sci Rep Article We set out to develop a simple objective test of functional colour vision based on eye movements made in response to moving patterns. We exploit the finding that while the motion of a colour-defined stimulus can be cancelled by adding a low-contrast luminance-defined stimulus moving in the opposite direction, the “equivalent luminance contrast” required for such cancellation is reduced when colour vision is abnormal. We used a consumer-grade infrared eye-tracker to measure eye movements made in response to coloured patterns drifting at different speeds. An automated analysis of these movements estimated individuals’ red-green equiluminant point and their equivalent luminance contrast. We tested 34 participants: 23 colour vision normal controls, 9 deuteranomalous and 2 protanomalous individuals. We obtained reliable estimates of strength of directed eye movements (i.e. combined optokinetic and voluntary tracking) for stimuli moving at 16 deg/s and could use these data to classify participants’ colour vision status with a sensitivity rate of 90.9% and a specificity rate of 91.3%. We conclude that an objective test of functional colour vision combining a motion-nulling technique with an automated analysis of eye movements can diagnose and assess the severity of protanopia and deuteranopia. The test places minimal demands on patients (who simply view a series of moving patterns for less than 90 s), requires modest operator expertise, and can be run on affordable hardware. Nature Publishing Group UK 2022-05-11 /pmc/articles/PMC9095692/ /pubmed/35562176 http://dx.doi.org/10.1038/s41598-022-11152-5 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Taore, Aryaman
Lobo, Gabriel
Turnbull, Philip R.
Dakin, Steven C.
Diagnosis of colour vision deficits using eye movements
title Diagnosis of colour vision deficits using eye movements
title_full Diagnosis of colour vision deficits using eye movements
title_fullStr Diagnosis of colour vision deficits using eye movements
title_full_unstemmed Diagnosis of colour vision deficits using eye movements
title_short Diagnosis of colour vision deficits using eye movements
title_sort diagnosis of colour vision deficits using eye movements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095692/
https://www.ncbi.nlm.nih.gov/pubmed/35562176
http://dx.doi.org/10.1038/s41598-022-11152-5
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