Evidence map›Paper›PMID 33542266›Full record

ArticleScientific reports2021

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

Pilar Montes-Lourido, Manaswini Kar, Isha Kumbam, Srivatsun Sadagopan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

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  5. In search of animal normativity: a framework for studying social norms in non-human animals.Biological reviews of the Cambridge Philosophical Society · 2024
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  8. Cortical Zinc Signaling Is Necessary for Changes in Mouse Pupil Diameter That Are Evoked by Background Sounds with Different Contrasts.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  9. Pupillometry to Assess Auditory Sensation in Guinea Pigs.Journal of visualized experiments : JoVE · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Pilar Montes-LouridoDepartment of Neurobiology, School of Medicine, University of Pittsburgh, 3501 5th Avenue, BST3-10021, Pittsburgh, PA, 15261, USA.
Manaswini KarDepartment of Neurobiology, School of Medicine, University of Pittsburgh, 3501 5th Avenue, BST3-10021, Pittsburgh, PA, 15261, USA.
Isha KumbamDepartment of Neurobiology, School of Medicine, University of Pittsburgh, 3501 5th Avenue, BST3-10021, Pittsburgh, PA, 15261, USA.
Srivatsun SadagopanDepartment of Neurobiology, School of Medicine, University of Pittsburgh, 3501 5th Avenue, BST3-10021, Pittsburgh, PA, 15261, USA. vatsun@pitt.edu.
University of Pittsburgh · US

Funding

Neural mechanisms underlying vocalization perception in realistic listening conditionsR01DC017141 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SADAGOPAN, SRIVATSUN · 2018 to 2022
$2.1M
NIDCD NIH HHS R01 DC017141
6 · The paper itself

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.

Indexed as

Acoustic StimulationAnimalsAttentionAudiometry, Evoked ResponseAuditory ThresholdFemaleGuinea PigsHumansMaleModels, AnimalOrgan SizePupilVocalization, Animal

Identifiers

PMID33542266
PMCPMC7862232
OpenAlexW3126505832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.