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

Abstract 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, p...

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Autores principales:	Pilar Montes-Lourido, Manaswini Kar, Isha Kumbam, Srivatsun Sadagopan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0ba12cc8c3a946d9bece3baef9791403
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spelling	oai:doaj.org-article:0ba12cc8c3a946d9bece3baef97914032021-12-02T14:06:49ZPupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models10.1038/s41598-021-82340-y2045-2322https://doaj.org/article/0ba12cc8c3a946d9bece3baef97914032021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82340-yhttps://doaj.org/toc/2045-2322Abstract 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.Pilar Montes-LouridoManaswini KarIsha KumbamSrivatsun SadagopanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Pilar Montes-Lourido Manaswini Kar Isha Kumbam Srivatsun Sadagopan Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
description	Abstract 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.
format	article
author	Pilar Montes-Lourido Manaswini Kar Isha Kumbam Srivatsun Sadagopan
author_facet	Pilar Montes-Lourido Manaswini Kar Isha Kumbam Srivatsun Sadagopan
author_sort	Pilar Montes-Lourido
title	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_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_sort	pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0ba12cc8c3a946d9bece3baef9791403
work_keys_str_mv	AT pilarmonteslourido pupillometryasareliablemetricofauditorydetectionanddiscriminationacrossdiversestimulusparadigmsinanimalmodels AT manaswinikar pupillometryasareliablemetricofauditorydetectionanddiscriminationacrossdiversestimulusparadigmsinanimalmodels AT ishakumbam pupillometryasareliablemetricofauditorydetectionanddiscriminationacrossdiversestimulusparadigmsinanimalmodels AT srivatsunsadagopan pupillometryasareliablemetricofauditorydetectionanddiscriminationacrossdiversestimulusparadigmsinanimalmodels
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Pupillometry as a reliable metric of auditory detection and discrimination across diverse stimulus paradigms in animal models

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