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Ngetich R, Villalba-García C, Soborun Y, Vékony T, Czakó A, Demetrovics Z, Németh D. Learning and memory processes in behavioural addiction: A systematic review. Neurosci Biobehav Rev 2024; 163:105747. [PMID: 38870547 DOI: 10.1016/j.neubiorev.2024.105747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 05/28/2024] [Accepted: 06/01/2024] [Indexed: 06/15/2024]
Abstract
Similar to addictive substances, addictive behaviours such as gambling and gaming are associated with maladaptive modulation of key brain areas and functional networks implicated in learning and memory. Therefore, this review sought to understand how different learning and memory processes relate to behavioural addictions and to unravel their underlying neural mechanisms. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched four databases - PsycINFO, PubMed, Scopus, and Web of Science using the agreed-upon search string. Findings suggest altered executive function-dependent learning processes and enhanced habit learning in behavioural addiction. Whereas the relationship between working memory and behavioural addiction is influenced by addiction type, working memory aspect, and task nature. Additionally, long-term memory is incoherent in individuals with addictive behaviours. Consistently, neurophysiological evidence indicates alterations in brain areas and networks implicated in learning and memory processes in behavioural addictions. Overall, the present review argues that, like substance use disorders, alteration in learning and memory processes may underlie the development and maintenance of behavioural addictions.
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Affiliation(s)
- Ronald Ngetich
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| | | | - Yanisha Soborun
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| | - Teodóra Vékony
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, Bron, France; Department of Education and Psychology, Faculty of Social Sciences, University of Atlántico Medio, Las Palmas de Gran Canaria, Spain
| | - Andrea Czakó
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Zsolt Demetrovics
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary; College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.
| | - Dezső Németh
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, Bron, France; Department of Education and Psychology, Faculty of Social Sciences, University of Atlántico Medio, Las Palmas de Gran Canaria, Spain; BML-NAP Research Group, Institute of Psychology, Eötvös Loránd University & Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
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van Timmeren T, Piray P, Goudriaan AE, van Holst RJ. Goal-directed and habitual decision making under stress in gambling disorder: An fMRI study. Addict Behav 2023; 140:107628. [PMID: 36716563 DOI: 10.1016/j.addbeh.2023.107628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 12/02/2022] [Accepted: 01/20/2023] [Indexed: 01/26/2023]
Abstract
The development of addictive behaviors has been suggested to be related to a transition from goal-directed to habitual decision making. Stress is a factor known to prompt habitual behavior and to increase the risk for addiction and relapse. In the current study, we therefore used functional MRI to investigate the balance between goal-directed 'model-based' and habitual 'model-free' control systems and whether acute stress would differentially shift this balance in gambling disorder (GD) patients compared to healthy controls (HCs). Using a within-subject design, 22 patients with GD and 20 HCs underwent stress induction or a control condition before performing a multistep decision-making task during fMRI. Salivary cortisol levels showed that the stress induction was successful. Contrary to our hypothesis, GD patients did not show impaired goal-directed 'model-based' decision making, which remained similar to HCs after stress induction. Bayes factors provided three times more evidence against a difference between the groups or a group-by-stress interaction on the balance between model-based and model-free decision making. Similarly, no differences were found between groups and conditions on the neural estimates of model-based or model-free decision making. These results challenge the notion that GD is related to an increased reliance on habitual (or decreased goal-directed) control, even during stress.
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Affiliation(s)
- Tim van Timmeren
- Amsterdam Institute for Addiction Research, Amsterdam UMC, Department of Psychiatry, University of Amsterdam, The Netherlands; Habit Lab, Department of Clinical Psychology, University of Amsterdam, The Netherlands; Department of Social Health and Organizational Psychology, Utrecht University, The Netherlands.
| | - Payam Piray
- Department of Psychology, University of Southern California, USA
| | - Anna E Goudriaan
- Amsterdam Institute for Addiction Research, Amsterdam UMC, Department of Psychiatry, University of Amsterdam, The Netherlands; Arkin Mental Health, The Netherlands
| | - Ruth J van Holst
- Amsterdam Institute for Addiction Research, Amsterdam UMC, Department of Psychiatry, University of Amsterdam, The Netherlands
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Hales CA, Clark L, Winstanley CA. Computational approaches to modeling gambling behaviour: Opportunities for understanding disordered gambling. Neurosci Biobehav Rev 2023; 147:105083. [PMID: 36758827 DOI: 10.1016/j.neubiorev.2023.105083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/05/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023]
Abstract
Computational modeling has become an important tool in neuroscience and psychiatry research to provide insight into the cognitive processes underlying normal and pathological behavior. There are two modeling frameworks, reinforcement learning (RL) and drift diffusion modeling (DDM), that are well-developed in cognitive science, and have begun to be applied to Gambling Disorder. RL models focus on explaining how an agent uses reward to learn about the environment and make decisions based on outcomes. The DDM is a binary choice framework that breaks down decision making into psychologically meaningful components based on choice reaction time analyses. Both approaches have begun to yield insight into aspects of cognition that are important for, but not unique to, gambling, and thus relevant to the development of Gambling Disorder. However, these approaches also oversimplify or neglect various aspects of decision making seen in real-world gambling behavior. Gambling Disorder presents an opportunity for 'bespoke' modeling approaches to consider these neglected components. In this review, we discuss studies that have used RL and DDM frameworks to investigate some of the key cognitive components in gambling and Gambling Disorder. We also include an overview of Bayesian models, a methodology that could be useful for more tailored modeling approaches. We highlight areas in which computational modeling could enable progression in the investigation of the cognitive mechanisms relevant to gambling.
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Affiliation(s)
- C A Hales
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.
| | - L Clark
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - C A Winstanley
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
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