Evidence map›Paper›PMID 30120315›Full record

ArticleScientific reports2018

Assessing animal affect: an automated and self-initiated judgement bias task based on natural investigative behaviour.

Samantha Jones, Vikki Neville, Laura Higgs, Elizabeth S Paul, Peter Dayan, Emma S J Robinson, Michael Mendl

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Refinement in the European Union: A Systematic Review.Animals : an open access journal from MDPI · 2022
    Review
  8. Article
  9. Article
  10. Judgment Bias During Gestation in Domestic Pigs.Frontiers in veterinary science · 2022
    Article
  11. Review
  12. On the road to refinement.Lab animal · 2021
    Article
  13. Article
  14. Article
  15. Behavioral Methods for Severity Assessment.Animals : an open access journal from MDPI · 2020
    Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Samantha JonesCentre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.
Vikki NevilleCentre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.ORCID 0000-0002-2961-1353
Laura HiggsCentre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.
Elizabeth S PaulCentre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.
Peter DayanGatsby Computational Neuroscience Unit, University College London, 25 Howland Street, London, W1T 4JG, UK.ORCID 0000-0003-3476-1839
Emma S J RobinsonSchool of Physiology, Pharmacology and Neuroscience, University of Bristol, Biomedical Sciences Building, University of Bristol, University Walk, Bristol, BS8 1TD, UK.
Michael MendlCentre for Behavioural Biology, Bristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK. mike.mendl@bris.ac.uk.ORCID 0000-0002-5302-1871

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/K00008X/1
6 · The paper itself

Abstract

Scientific methods for assessing animal affect, especially affective valence (positivity or negativity), allow us to evaluate animal welfare and the effectiveness of 3Rs Refinements designed to improve wellbeing. Judgement bias tasks measure valence; however, task-training may be lengthy and/or require significant time from researchers. Here we develop an automated and self-initiated judgement bias task for rats which capitalises on their natural investigative behaviour. Rats insert their noses into a food trough to start trials. They then hear a tone and learn either to stay for 2 s to receive a food reward or to withdraw promptly to avoid an air-puff. Which contingency applies is signalled by two different tones. Judgement bias is measured by responses to intermediate ambiguous tones. In two experiments we show that rats learn the task in fewer sessions than other automated variants, generalise responses across ambiguous tones as expected, self-initiate 4-5 trials/min, and can be tested repeatedly. Affect manipulations generate main effect trends in the predicted directions, although not localised to ambiguous tones, so further construct validation is required. We also find that tone-reinforcer pairings and reinforcement or non-reinforcement of ambiguous trials can affect responses to ambiguity. This translatable task should facilitate more widespread uptake of judgement bias testing.

Identifiers

PMID30120315
PMCPMC6098098

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.