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      Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users

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          Abstract

          Substance dependent individuals (SDI) often exhibit decision-making deficits; however, it remains unclear whether the nature of the underlying decision-making processes is the same in users of different classes of drugs and whether these deficits persist after discontinuation of drug use. We used computational modeling to address these questions in a unique sample of relatively “pure” amphetamine-dependent ( N = 38) and heroin-dependent individuals ( N = 43) who were currently in protracted abstinence, and in 48 healthy controls (HC). A Bayesian model comparison technique, a simulation method, and parameter recovery tests were used to compare three cognitive models: (1) Prospect Valence Learning with decay reinforcement learning rule (PVL-DecayRI), (2) PVL with delta learning rule (PVL-Delta), and (3) Value-Plus-Perseverance (VPP) model based on Win-Stay-Lose-Switch (WSLS) strategy. The model comparison results indicated that the VPP model, a hybrid model of reinforcement learning (RL) and a heuristic strategy of perseverance had the best post-hoc model fit, but the two PVL models showed better simulation and parameter recovery performance. Computational modeling results suggested that overall all three groups relied more on RL than on a WSLS strategy. Heroin users displayed reduced loss aversion relative to HC across all three models, which suggests that their decision-making deficits are longstanding (or pre-existing) and may be driven by reduced sensitivity to loss. In contrast, amphetamine users showed comparable cognitive functions to HC with the VPP model, whereas the second best-fitting model with relatively good simulation performance (PVL-DecayRI) revealed increased reward sensitivity relative to HC. These results suggest that some decision-making deficits persist in protracted abstinence and may be mediated by different mechanisms in opiate and stimulant users.

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          Most cited references54

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          Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications.

          The loss of control over drug intake that occurs in addiction was initially believed to result from disruption of subcortical reward circuits. However, imaging studies in addictive behaviours have identified a key involvement of the prefrontal cortex (PFC) both through its regulation of limbic reward regions and its involvement in higher-order executive function (for example, self-control, salience attribution and awareness). This Review focuses on functional neuroimaging studies conducted in the past decade that have expanded our understanding of the involvement of the PFC in drug addiction. Disruption of the PFC in addiction underlies not only compulsive drug taking but also accounts for the disadvantageous behaviours that are associated with addiction and the erosion of free will.
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            The neural basis of drug craving: an incentive-sensitization theory of addiction.

            This paper presents a biopsychological theory of drug addiction, the 'Incentive-Sensitization Theory'. The theory addresses three fundamental questions. The first is: why do addicts crave drugs? That is, what is the psychological and neurobiological basis of drug craving? The second is: why does drug craving persist even after long periods of abstinence? The third is whether 'wanting' drugs (drug craving) is attributable to 'liking' drugs (to the subjective pleasurable effects of drugs)? The theory posits the following. (1) Addictive drugs share the ability to enhance mesotelencephalic dopamine neurotransmission. (2) One psychological function of this neural system is to attribute 'incentive salience' to the perception and mental representation of events associated with activation of the system. Incentive salience is a psychological process that transforms the perception of stimuli, imbuing them with salience, making them attractive, 'wanted', incentive stimuli. (3) In some individuals the repeated use of addictive drugs produces incremental neuroadaptations in this neural system, rendering it increasingly and perhaps permanently, hypersensitive ('sensitized') to drugs and drug-associated stimuli. The sensitization of dopamine systems is gated by associative learning, which causes excessive incentive salience to be attributed to the act of drug taking and to stimuli associated with drug taking. It is specifically the sensitization of incentive salience, therefore, that transforms ordinary 'wanting' into excessive drug craving. (4) It is further proposed that sensitization of the neural systems responsible for incentive salience ('for wanting') can occur independently of changes in neural systems that mediate the subjective pleasurable effects of drugs (drug 'liking') and of neural systems that mediate withdrawal. Thus, sensitization of incentive salience can produce addictive behavior (compulsive drug seeking and drug taking) even if the expectation of drug pleasure or the aversive properties of withdrawal are diminished and even in the face of strong disincentives, including the loss of reputation, job, home and family. We review evidence for this view of addiction and discuss its implications for understanding the psychology and neurobiology of addiction.
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              Bayesian estimation supersedes the t test.

              Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Bayes factors). The method also yields precise estimates of statistical power for various research goals. The software and programs are free and run on Macintosh, Windows, and Linux platforms. PsycINFO Database Record (c) 2013 APA, all rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                12 August 2014
                2014
                : 5
                : 849
                Affiliations
                [1] 1Virginia Tech Carilion Research Institute, Virginia Tech Roanoke, VA, USA
                [2] 2Bulgarian Addictions Institute Sofia, Bulgaria
                [3] 3Department of Psychological and Brain Sciences, Indiana University Bloomington, IN, USA
                [4] 4Department of Psychology, University of Southern California Los Angeles, CA, USA
                [5] 5Brain and Creativity Institute, University of Southern California Los Angeles, CA, USA
                [6] 6Department of Psychiatry, Virginia Commonwealth University School of Medicine Richmond, VA, USA
                Author notes

                Edited by: Ching-Hung Lin, Kaohsiung Medical University, Taiwan

                Reviewed by: Eric-Jan Wagenmakers, University of Amsterdam, Netherlands; Darrell A. Worthy, Texas A&M University, USA

                *Correspondence: Jasmin Vassileva, Department of Psychiatry, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, 203 E. Cary Street, Richmond, VA 23219, USA e-mail: jlvassileva@ 123456vcu.edu

                This article was submitted to Decision Neuroscience, a section of the journal Frontiers in Psychology.

                Article
                10.3389/fpsyg.2014.00849
                4129374
                25161631
                640c8c85-b3c6-41a2-a21c-b907c15602cb
                Copyright © 2014 Ahn, Vasilev, Lee, Busemeyer, Kruschke, Bechara and Vassileva.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 April 2014
                : 17 July 2014
                Page count
                Figures: 3, Tables: 6, Equations: 13, References: 87, Pages: 15, Words: 13241
                Categories
                Neuroscience
                Original Research Article

                Clinical Psychology & Psychiatry
                addiction,decision-making,computational modeling,heroin,amphetamine,protracted abstinence,bayesian data analysis,widely applicable information criterion (waic)

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