Journal article
Learning to lose control: A process-based account of behavioral addiction.
- Perales JC Department of Experimental Psychology, Mind Brain and Behavior Research Center (CIMCYC), University of Granada, Spain.
- King DL College of Education, Psychology, & Social Work, Flinders University, Australia.
- Navas JF Department of Basic Psychology, Autonomous University of Madrid, Spain; Universitat Oberta de Catalunya, Spain. Electronic address: juan.navas@uam.es.
- Schimmenti A Faculty of Human & Social Sciences, Kore University of Enna, Italy.
- Sescousse G Lyon Neuroscience Research Center - INSERM U1028 - CNRS UMR5292, PSYR2 Team, University of Lyon, France.
- Starcevic V University of Sydney, Faculty of Medicine and Health, Sydney Medical School, Nepean Clinical School, Discipline of Psychiatry, Australia.
- van Holst RJ Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Institute for Addiction Research, Netherlands.
- Billieux J Addictive and Compulsive Behaviours Lab. Institute for Health and Behaviour, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Institute of Psychology, University of Lausanne, Lausanne, Switzerland; Centre for Excessive Gambling, Lausanne University Hospitals (CHUV), Lausanne, Switzerland.
- 2019-12-18
Published in:
- Neuroscience and biobehavioral reviews. - 2020
Behavioral addiction
Behavioral control modes
Compulsivity
Learning
Non-substance addictive disorders
Reinforcement learning
English
Learning psycho(bio)logy has developed a solid corpus of evidence and theory regarding behavior control modes. The present article briefly reviews that literature and its influence on recent models in which the transition from goal-directed to compulsive behavior is identified as the main process underlying substance use disorders. This literature is also relevant to non-substance addictive disorders, and serves as basis to propose a restricted definition of behavioral addiction relying on the presence of behavior-specific compulsivity. Complementarily, we consider whether some activities can become disordered while remaining mostly goal-driven. Based on reinforcement learning models, relative outcome utility computation is proposed as an alternative mechanism through which dysfunctional behaviors (even not qualifying as addictive) can override adaptive ones, causing functional impairment. Beyond issues of conceptual delimitation, recommendations are made regarding the importance of identifying individual etiological pathways to dysregulated behavior, the necessity of accurately profiling at-risk individuals, and the potential hazards of symptom-based diagnosis. In our view, the validity of these recommendations does not depend on the position one takes in the nosological debate.
- Language
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- English
- Open access status
- bronze
- Identifiers
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- DOI 10.1016/j.neubiorev.2019.12.025
- PMID 31846653
- Persistent URL
- https://folia.unifr.ch/global/documents/295501
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