Technology or ecology? New tools to assess cognitive judgement bias in mice.


Journal

Behavioural brain research
ISSN: 1872-7549
Titre abrégé: Behav Brain Res
Pays: Netherlands
ID NLM: 8004872

Informations de publication

Date de publication:
19 04 2019
Historique:
received: 18 10 2018
revised: 10 12 2018
accepted: 12 01 2019
pubmed: 18 1 2019
medline: 12 7 2019
entrez: 18 1 2019
Statut: ppublish

Résumé

Cognitive judgement bias tests have become important new tools for the assessment of animal emotions. They allow for the inference of an animal's emotional state based on ambiguous cue interpretations. As mice are the predominantly used animal model for cognitive and behavioural neuroscience, research in this field would considerably benefit from the development of suitable judgement bias tests for this species. Against this background, we aimed to implement two different active choice cognitive judgement bias paradigms for mice in a methodological study. For this purpose, two experiments were conducted: in experiment I, an automated, vision-based touchscreen technique was applied, allowing for the direct translation of tasks from rodents to humans and vice versa. Experiment II comprised a task relying on more ecologically relevant cues in form of tunnels of different lengths. While the touchscreen task was characterized by automation-related advantages such as the possibility to present many trials per session and a high convenience for the experimenter, the tunnel task was learned faster by the mice. In both tests, however, the response to the trained and ambiguous conditions resulted in a graded curve, the basic requirement for proving task validity. Thus, both the translational touchscreen task as well as the ecologically more relevant tunnel task could successfully be implemented and provide new tools for the future assessment of cognitive judgement biases in mice.

Identifiants

pubmed: 30654122
pii: S0166-4328(18)31487-6
doi: 10.1016/j.bbr.2019.01.021
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

279-287

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Viktoria Krakenberg (V)

Department of Behavioural Biology, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany. Electronic address: viktoria.krakenberg@uni-muenster.de.

Irene Woigk (I)

Department of Behavioural Biology, University of Münster, Germany. Electronic address: klassen_irene@yahoo.de.

Luis Garcia Rodriguez (L)

Department of Behavioural Biology, University of Münster, Germany. Electronic address: luis.garcia@uni-muenster.de.

Niklas Kästner (N)

Department of Behavioural Biology, University of Münster, Germany. Electronic address: niklas.kaestner@uni-muenster.de.

Sylvia Kaiser (S)

Department of Behavioural Biology, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany. Electronic address: kaisesy@uni-muenster.de.

Norbert Sachser (N)

Department of Behavioural Biology, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany. Electronic address: sachser@uni-muenster.de.

S Helene Richter (SH)

Department of Behavioural Biology, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany. Electronic address: richterh@uni-muenster.de.

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