Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease
Choice impulsivity is an important subcomponent of the broader construct of impulsivity and is a key feature of many psychiatric disorders. Choice impulsivity is typically quantified as temporal discounting, a well-documented phenomenon in which a reward's subjective value diminishes as the del...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22804
- Acceso en línea:
- https://doi.org/10.1098/rstb.2018.0135
https://repository.urosario.edu.co/handle/10336/22804
- Palabra clave:
- Delay discounting
High risk behavior
Human
Impulsiveness
Mental disease
Psychological model
Psychology
Reward
Time factor
Delay discounting
Humans
Impulsive behavior
Mental disorders
Reward
Risk-taking
Time factors
Choice impulsivity
Delay discounting
Economic models
Functional mri
Psychiatry
Risk
psychological
Models
- Rights
- License
- Abierto (Texto Completo)
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528667196000e7f5eef-a42d-4667-b6af-238e4a376a93-1583c2c80-0b81-4a1b-a7b3-fd1182241b61-12020-05-25T23:58:06Z2020-05-25T23:58:06Z2019Choice impulsivity is an important subcomponent of the broader construct of impulsivity and is a key feature of many psychiatric disorders. Choice impulsivity is typically quantified as temporal discounting, a well-documented phenomenon in which a reward's subjective value diminishes as the delay to its delivery is increased. However, an individual's proclivity to-or more commonly aversion to- risk can influence nearly all of the standard experimental tools available for measuring temporal discounting. Despite this interaction, risk preference is a behaviourally and neurobiologically distinct construct that relates to the economic notion of utility or subjective value. In this opinion piece, we discuss the mathematical relationship between risk preferences and time preferences, their neural implementation, and propose ways that research in psychiatry could, and perhaps should, aim to account for this relationship experimentally to better understand choice impulsivity and its clinical implications. This article is part of the theme issue 'Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications'.application/pdfhttps://doi.org/10.1098/rstb.2018.0135https://repository.urosario.edu.co/handle/10336/22804engNLM (Medline)No. 176620180135Philosophical transactions of the Royal Society of London. Series BVol. 374Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol.374, No.1766 (2019); pp. 20180135-https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064722008&doi=10.1098%2frstb.2018.0135&partnerID=40&md5=290fe4772e35aac796f820d975c6279cAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURDelay discountingHigh risk behaviorHumanImpulsivenessMental diseasePsychological modelPsychologyRewardTime factorDelay discountingHumansImpulsive behaviorMental disordersRewardRisk-takingTime factorsChoice impulsivityDelay discountingEconomic modelsFunctional mriPsychiatryRiskpsychologicalModelsComputational psychiatry of impulsivity and risk: how risk and time preferences interact in health and diseasearticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501López Guzmán, SilviaKonova, Anna B.Glimcher, Paul W.10336/22804oai:repository.urosario.edu.co:10336/228042022-05-02 07:37:14.382908https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
title |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
spellingShingle |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease Delay discounting High risk behavior Human Impulsiveness Mental disease Psychological model Psychology Reward Time factor Delay discounting Humans Impulsive behavior Mental disorders Reward Risk-taking Time factors Choice impulsivity Delay discounting Economic models Functional mri Psychiatry Risk psychological Models |
title_short |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
title_full |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
title_fullStr |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
title_full_unstemmed |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
title_sort |
Computational psychiatry of impulsivity and risk: how risk and time preferences interact in health and disease |
dc.subject.keyword.spa.fl_str_mv |
Delay discounting High risk behavior Human Impulsiveness Mental disease Psychological model Psychology Reward Time factor Delay discounting Humans Impulsive behavior Mental disorders Reward Risk-taking Time factors Choice impulsivity Delay discounting Economic models Functional mri Psychiatry Risk |
topic |
Delay discounting High risk behavior Human Impulsiveness Mental disease Psychological model Psychology Reward Time factor Delay discounting Humans Impulsive behavior Mental disorders Reward Risk-taking Time factors Choice impulsivity Delay discounting Economic models Functional mri Psychiatry Risk psychological Models |
dc.subject.keyword.eng.fl_str_mv |
psychological Models |
description |
Choice impulsivity is an important subcomponent of the broader construct of impulsivity and is a key feature of many psychiatric disorders. Choice impulsivity is typically quantified as temporal discounting, a well-documented phenomenon in which a reward's subjective value diminishes as the delay to its delivery is increased. However, an individual's proclivity to-or more commonly aversion to- risk can influence nearly all of the standard experimental tools available for measuring temporal discounting. Despite this interaction, risk preference is a behaviourally and neurobiologically distinct construct that relates to the economic notion of utility or subjective value. In this opinion piece, we discuss the mathematical relationship between risk preferences and time preferences, their neural implementation, and propose ways that research in psychiatry could, and perhaps should, aim to account for this relationship experimentally to better understand choice impulsivity and its clinical implications. This article is part of the theme issue 'Risk taking and impulsive behaviour: fundamental discoveries, theoretical perspectives and clinical implications'. |
publishDate |
2019 |
dc.date.created.spa.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-05-25T23:58:06Z |
dc.date.available.none.fl_str_mv |
2020-05-25T23:58:06Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1098/rstb.2018.0135 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/22804 |
url |
https://doi.org/10.1098/rstb.2018.0135 https://repository.urosario.edu.co/handle/10336/22804 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
|
dc.relation.citationIssue.none.fl_str_mv |
No. 1766 |
dc.relation.citationStartPage.none.fl_str_mv |
20180135 |
dc.relation.citationTitle.none.fl_str_mv |
Philosophical transactions of the Royal Society of London. Series B |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 374 |
dc.relation.ispartof.spa.fl_str_mv |
Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol.374, No.1766 (2019); pp. 20180135- |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064722008&doi=10.1098%2frstb.2018.0135&partnerID=40&md5=290fe4772e35aac796f820d975c6279c |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
NLM (Medline) |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167472199172096 |