Literature DB >> 30654122

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

Viktoria Krakenberg1, Irene Woigk2, Luis Garcia Rodriguez3, Niklas Kästner4, Sylvia Kaiser5, Norbert Sachser6, S Helene Richter7.   

Abstract

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

Entities:  

Keywords:  Affective state; Ecological relevance; Emotion; Mice; Touchscreen technology; Translational value

Mesh:

Year:  2019        PMID: 30654122     DOI: 10.1016/j.bbr.2019.01.021

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  8 in total

Review 1.  Application of Cognitive Bias Testing in Neuropsychiatric Disorders: A Mini-Review Based on Animal Studies.

Authors:  Yu-Han Zhang; Ning Wang; Xiao-Xiao Lin; Jin-Yan Wang; Fei Luo
Journal:  Front Behav Neurosci       Date:  2022-07-01       Impact factor: 3.617

2.  Once an optimist, always an optimist? Studying cognitive judgment bias in mice.

Authors:  Marko Bračić; Lena Bohn; Viktoria Siewert; Vanessa T von Kortzfleisch; Holger Schielzeth; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Behav Ecol       Date:  2022-06-03       Impact factor: 3.087

Review 3.  Using touchscreen-delivered cognitive assessments to address the principles of the 3Rs in behavioral sciences.

Authors:  Timothy J Bussey; Lisa M Saksida; Christopher J Heath; Laura Lopez-Cruz
Journal:  Lab Anim (NY)       Date:  2021-06-17       Impact factor: 12.625

4.  Differential Effects of Serotonin Transporter Genotype on Anxiety-Like Behavior and Cognitive Judgment Bias in Mice.

Authors:  Viktoria Krakenberg; Vanessa Tabea von Kortzfleisch; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Front Behav Neurosci       Date:  2019-12-03       Impact factor: 3.558

5.  Pharmacological manipulations of judgement bias: A systematic review and meta-analysis.

Authors:  Vikki Neville; Shinichi Nakagawa; Josefina Zidar; Elizabeth S Paul; Malgorzata Lagisz; Melissa Bateson; Hanne Løvlie; Michael Mendl
Journal:  Neurosci Biobehav Rev       Date:  2019-11-17       Impact factor: 8.989

6.  Effects of different social experiences on emotional state in mice.

Authors:  Viktoria Krakenberg; Sophie Siestrup; Rupert Palme; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

7.  The effect of unexpected rewards on decision making in cuttlefish.

Authors:  Tzu-Ting Chung; Anne-Sophie Darmaillacq; Ludovic Dickel; Chuan-Chin Chiao
Journal:  Sci Rep       Date:  2022-02-15       Impact factor: 4.379

8.  Improving reproducibility in animal research by splitting the study population into several 'mini-experiments'.

Authors:  Vanessa Tabea von Kortzfleisch; Natasha A Karp; Rupert Palme; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

  8 in total

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