Recent Updates in Modeling Risky Decision Making in Rodents.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 6 7 2019
pubmed: 6 7 2019
medline: 20 3 2020
Statut: ppublish

Résumé

Excessive preference for risky over safe options is a hallmark of several psychiatric disorders. Here we describe a behavioral task that models such risky decision making in rats. In this task, rats are given choices between small, safe rewards and large rewards accompanied by risk of footshock punishment. The risk of punishment changes within a test session, allowing quantification of decision making at different levels of risk. Importantly, this task can yield a wide degree of reliable individual variability, allowing the characterization of rats as "risk-taking" or "risk-averse." The task has been demonstrated to be effective for testing the effects of pharmacological agents and neurobiological manipulations, and the individual variability (which mimics the human population) allows assessment of behavioral and neurobiological distinctions among subjects based on their risk-taking profile.

Identifiants

pubmed: 31273694
doi: 10.1007/978-1-4939-9554-7_5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

79-92

Subventions

Organisme : NIDA NIH HHS
ID : K99 DA041493
Pays : United States

Auteurs

Caitlin A Orsini (CA)

Department of Psychiatry, University of Florida, Gainesville, FL, USA.

Shelby L Blaes (SL)

Department of Psychiatry, University of Florida, Gainesville, FL, USA.

Barry Setlow (B)

Department of Neuroscience, University of Florida, Gainesville, FL, USA. setlow@ufl.edu.
Center for Addiction Research and Education, University of Florida, Gainesville, FL, USA. setlow@ufl.edu.
Department of Psychiatry, University of Florida College of Medicine, Gainesville, FL, USA. setlow@ufl.edu.

Nicholas W Simon (NW)

Department of Psychology, University of Memphis, Memphis, TN, USA.

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Classifications MeSH