Positive and negative contexts predict duration of pig vocalisations.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 02 2019
Historique:
received: 12 03 2018
accepted: 19 12 2018
entrez: 16 2 2019
pubmed: 16 2 2019
medline: 12 9 2020
Statut: epublish

Résumé

Emotions are mental states occurring in response to external and internal stimuli and thus form an integral part of an animal's behaviour. Emotions can be mapped in two dimensions based on their arousal and valence. Whilst good indicators of arousal exist, clear indicators of emotional valence, particularly positive valence, are still rare. However, positively valenced emotions may play a crucial role in social interactions in many species and thus, an understanding of how emotional valence is expressed is needed. Vocalisations are a potential indicator of emotional valence as they can reflect the internal state of the caller. We experimentally manipulated valence, using positive and negative cognitive bias trials, to quantify changes in pig vocalisations. We found that grunts were shorter in positive trials than in negative trials. Interestingly, we did not find differences in the other measured acoustic parameters between the positive and negative contexts as reported in previous studies. These differences in results suggest that acoustic parameters may differ in their sensitivity as indicators of emotial valence. However, it is important to understand how similar contexts are, in terms of their valence, to be able to fully understand how and when acoustic parameters reflect emotional states.

Identifiants

pubmed: 30765788
doi: 10.1038/s41598-019-38514-w
pii: 10.1038/s41598-019-38514-w
pmc: PMC6375976
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2062

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/K002554/2
Pays : United Kingdom

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Auteurs

Mary Friel (M)

School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Faculty of Biological Sciences, University of Leeds, Leeds, UK.

Hansjoerg P Kunc (HP)

School of Biological Sciences, Queen's University Belfast, Medical Biology Centre, Belfast, UK.

Kym Griffin (K)

School of Animal Rural & Environmental Sciences, Nottingham Trent University, Nottingham, UK.

Lucy Asher (L)

Centre for Behaviour and Evolution, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.

Lisa M Collins (LM)

Faculty of Biological Sciences, University of Leeds, Leeds, UK. l.collins@leeds.ac.uk.
School of Life Sciences, University of Lincoln, Lincoln, UK. l.collins@leeds.ac.uk.

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Classifications MeSH