Cocaine addiction as a homeostatic reinforcement learning disorder
Autor: | Audrey Durand, Boris Gutkin, Girardeau Paul, Mehdi Keramati, Serge H. Ahmed |
---|---|
Přispěvatelé: | Laboratoire de Neurosciences Cognitives & Computationnelles (LNC2), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Medialis, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
media_common.quotation_subject BF Self Administration Craving Cocaine-Related Disorders 03 medical and health sciences 0302 clinical medicine Recurrence Dopamine Psychological Theory mental disorders medicine Animals Homeostasis Humans Reinforcement learning Reinforcement General Psychology ComputingMilieux_MISCELLANEOUS media_common [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior Learning Disabilities Receptors Dopamine D2 Addiction Perspective (graphical) Rats 030104 developmental biology medicine.symptom Psychology Self-administration Reinforcement Psychology Neuroscience 030217 neurology & neurosurgery medicine.drug |
Zdroj: | Psychological Review Psychological Review, American Psychological Association, 2017, 124 (2), pp.130-153. ⟨10.1037/rev0000046⟩ |
ISSN: | 0033-295X 1939-1471 |
DOI: | 10.1037/rev0000046⟩ |
Popis: | Drug addiction implicates both reward learning and homeostatic regulation mechanisms of the brain. This has stimulated 2 partially successful theoretical perspectives on addiction. Many important aspects of addiction, however, remain to be explained within a single, unified framework that integrates the 2 mechanisms. Building upon a recently developed homeostatic reinforcement learning theory, the authors focus on a key transition stage of addiction that is well modeled in animals, escalation of drug use, and propose a computational theory of cocaine addiction where cocaine reinforces behavior due to its rapid homeostatic corrective effect, whereas its chronic use induces slow and long-lasting changes in homeostatic setpoint. Simulations show that our new theory accounts for key behavioral and neurobiological features of addiction, most notably, escalation of cocaine use, drug-primed craving and relapse, individual differences underlying dose-response curves, and dopamine D2-receptor downregulation in addicts. The theory also generates unique predictions about cocaine self-administration behavior in rats that are confirmed by new experimental results. Viewing addiction as a homeostatic reinforcement learning disorder coherently explains many behavioral and neurobiological aspects of the transition to cocaine addiction, and suggests a new perspective toward understanding addiction. (PsycINFO Database Record |
Databáze: | OpenAIRE |
Externí odkaz: |