作者
Mathias Pessiglione, Raphaël Le Bouc, Fabien Vinckier
发表日期
2018/8/1
来源
Current Opinion in Behavioral Sciences
卷号
22
页码范围
50-58
出版商
Elsevier
简介
Highlights
- Motivation is a set of processes that regulate behavior direction and intensity.
- Motivational processes are formalized in decision and learning computational models.
- In the clinics, motivation can be deficient (apathy) or deviant (compulsion).
- Motivation components can be quantified by fitting models to choice behavior.
- Such computational phenotyping may help with personalization of treatment.
Clinical assessment of motivation disorders, such as apathy or compulsivity, is currently based on psychometric scales that do not provide any mechanistic insight susceptible to better target therapeutic intervention. Here, we expose a new approach that consists in phenotyping motivation states by fitting computational models to the behavioral responses made by patients in choice and/or learning tests. A computational phenotype is nothing but a set of fitted parameters that capture key motivational dimensions such as …
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M Pessiglione, R Le Bouc, F Vinckier - Current Opinion in Behavioral Sciences, 2018