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The Mouse Gambling Task: Assessing Individual Decision-making Strategies in Mice.
Pittaras, Elsa; Rabat, Arnaud; Granon, Sylvie.
Afiliação
  • Pittaras E; Biology Department, Stanford University, Stanford, CA 94305-5020, USA.
  • Rabat A; Unité Fatigue et Vigilance, Département Environnements Opérationnels, Institut de Recherche Biomédicale des armées, 1 place du Général Valérie ANDRE, BP 73, 91223 Bretigny-sur-Orge cedex, France.
  • Granon S; Equipe d'accueil 7330 «VIFASOM¼, Hôtel Dieu AP-HP, Université Paris 5 Descartes, 1 place du Parvis Notre Dame, 75181 Paris cedex 04, France.
Bio Protoc ; 10(1): e3479, 2020 Jan 05.
Article em En | MEDLINE | ID: mdl-33654712
ABSTRACT
Decision-making is a complex cognitive process which consists of choosing one option among several alternatives. In humans, this process is featured in the Iowa gambling task (IGT), a decision-making task that mimics real life situations by reproducing uncertain conditions based on probabilistic rewards or penalties (see Background). Several authors wanted to adapt the IGT in rodents with subtle differences in protocols that match various aspects of the human task. Here we propose, for the first time in mice, a protocol that contains the most important characteristics of the IGT 4 different options, choices based on 4 ambiguous outcomes with immediate and long term rewards, a total of 100 trials, no learning of the contingency before the task, and presence of both a certain reward and a probable penalty. During this task, mice have to choose between options more or less advantageous in the short and long term by developing a decision-making strategy that differs between individuals. Therefore, the strength of this protocol is that it is one of the first to enable the study of decision-making in a complex situation, and demonstrates inter-individual differences regarding decision-making strategies in mice.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article