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Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models

Estimates of detection and discrimination thresholds are often used to explore broad perceptual similarities between human subjects and animal models. Pupillometry shows great promise as a non-invasive, easily-deployable method of comparing human and animal thresholds. Using pupillometry, previous s...

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Autores principales: Montes-Lourido, Pilar, Kar, Manaswini, Kumbam, Isha, Sadagopan, Srivatsun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862232/
https://www.ncbi.nlm.nih.gov/pubmed/33542266
http://dx.doi.org/10.1038/s41598-021-82340-y
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author Montes-Lourido, Pilar
Kar, Manaswini
Kumbam, Isha
Sadagopan, Srivatsun
author_facet Montes-Lourido, Pilar
Kar, Manaswini
Kumbam, Isha
Sadagopan, Srivatsun
author_sort Montes-Lourido, Pilar
collection PubMed
description Estimates of detection and discrimination thresholds are often used to explore broad perceptual similarities between human subjects and animal models. Pupillometry shows great promise as a non-invasive, easily-deployable method of comparing human and animal thresholds. Using pupillometry, previous studies in animal models have obtained threshold estimates to simple stimuli such as pure tones, but have not explored whether similar pupil responses can be evoked by complex stimuli, what other stimulus contingencies might affect stimulus-evoked pupil responses, and if pupil responses can be modulated by experience or short-term training. In this study, we used an auditory oddball paradigm to estimate detection and discrimination thresholds across a wide range of stimuli in guinea pigs. We demonstrate that pupillometry yields reliable detection and discrimination thresholds across a range of simple (tones) and complex (conspecific vocalizations) stimuli; that pupil responses can be robustly evoked using different stimulus contingencies (low-level acoustic changes, or higher level categorical changes); and that pupil responses are modulated by short-term training. These results lay the foundation for using pupillometry as a reliable method of estimating thresholds in large experimental cohorts, and unveil the full potential of using pupillometry to explore broad similarities between humans and animal models.
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spelling pubmed-78622322021-02-05 Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models Montes-Lourido, Pilar Kar, Manaswini Kumbam, Isha Sadagopan, Srivatsun Sci Rep Article Estimates of detection and discrimination thresholds are often used to explore broad perceptual similarities between human subjects and animal models. Pupillometry shows great promise as a non-invasive, easily-deployable method of comparing human and animal thresholds. Using pupillometry, previous studies in animal models have obtained threshold estimates to simple stimuli such as pure tones, but have not explored whether similar pupil responses can be evoked by complex stimuli, what other stimulus contingencies might affect stimulus-evoked pupil responses, and if pupil responses can be modulated by experience or short-term training. In this study, we used an auditory oddball paradigm to estimate detection and discrimination thresholds across a wide range of stimuli in guinea pigs. We demonstrate that pupillometry yields reliable detection and discrimination thresholds across a range of simple (tones) and complex (conspecific vocalizations) stimuli; that pupil responses can be robustly evoked using different stimulus contingencies (low-level acoustic changes, or higher level categorical changes); and that pupil responses are modulated by short-term training. These results lay the foundation for using pupillometry as a reliable method of estimating thresholds in large experimental cohorts, and unveil the full potential of using pupillometry to explore broad similarities between humans and animal models. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862232/ /pubmed/33542266 http://dx.doi.org/10.1038/s41598-021-82340-y Text en © The Author(s) 2021 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/.
spellingShingle Article
Montes-Lourido, Pilar
Kar, Manaswini
Kumbam, Isha
Sadagopan, Srivatsun
Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title_full Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title_fullStr Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title_full_unstemmed Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title_short Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
title_sort pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862232/
https://www.ncbi.nlm.nih.gov/pubmed/33542266
http://dx.doi.org/10.1038/s41598-021-82340-y
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