Chapter title |
Translational Models of Gambling-Related Decision-Making.
|
---|---|
Chapter number | 5014 |
Book title |
Translational Neuropsychopharmacology
|
Published in |
Current topics in behavioral neurosciences, January 2015
|
DOI | 10.1007/7854_2015_5014 |
Pubmed ID | |
Book ISBNs |
978-3-31-933911-5, 978-3-31-933913-9
|
Authors |
Catharine A. Winstanley, Luke Clark |
Editors |
Trevor W. Robbins, Barbara J. Sahakian |
Abstract |
Gambling is a harmless, recreational pastime that is ubiquitous across cultures. However, for some, gambling becomes a maladaptive and compulsive, and this syndrome is conceptualized as a behavioural addiction. Laboratory models that capture the key cognitive processes involved in gambling behaviour, and that can be translated across species, have the potential to make an important contribution to both decision neuroscience and the study of addictive disorders. The Iowa gambling task has been widely used to assess human decision-making under uncertainty, and this paradigm can be successfully modelled in rodents. Similar neurobiological processes underpin choice behaviour in humans and rats, and thus, a preference for the disadvantageous "high-risk, high-reward" options may reflect meaningful vulnerability for mental health problems. However, the choice behaviour operationalized by these tasks does not necessarily approximate the vulnerability to gambling disorder (GD) per se. We consider a number of psychological challenges that apply to modelling gambling in a translational way, and evaluate the success of the existing models. Heterogeneity in the structure of gambling games, as well as in the motivations of individuals with GD, is highlighted. The potential issues with extrapolating too directly from established animal models of drug dependency are discussed, as are the inherent difficulties in validating animal models of GD in the absence of any approved treatments for GD. Further advances in modelling the cognitive biases endemic in human decision-making, which appear to be exacerbated in GD, may be a promising line of research. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 2 | 3% |
Unknown | 67 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 9 | 13% |
Researcher | 7 | 10% |
Student > Doctoral Student | 7 | 10% |
Student > Bachelor | 6 | 9% |
Student > Postgraduate | 6 | 9% |
Other | 15 | 22% |
Unknown | 19 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 15 | 22% |
Medicine and Dentistry | 9 | 13% |
Neuroscience | 9 | 13% |
Computer Science | 4 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 8 | 12% |
Unknown | 21 | 30% |