Journal ArticleDOI
Translation of Computational Psychiatry in the Context of Addiction.
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This article is published in JAMA Psychiatry.The article was published on 2020-11-01. It has received 10 citations till now. The article focuses on the topics: Context (language use) & Addictive behavior.read more
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Computational theory-driven studies of reinforcement learning and decision-making in addiction: What have we learned?
TL;DR: It is proposed that a longitudinal and multidimensional examination of value-based processes, a type of dynamic "computational fingerprint", will provide a more complete understanding of addiction as well as aid in developing better tailored and timed interventions.
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Mindfulness in Treatment Approaches for Addiction — Underlying Mechanisms and Future Directions
TL;DR: In this paper, the efficacy and possible underlying mechanisms of mindfulness-based interventions (MBI) in addictive disorders are summarized, and the authors conclude that MBI holds promise in treating addictive disorders while larger randomized controlled trials with longitudinal study designs are needed to confirm their utility.
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Digital Clinical Trials for Substance Use Disorders in the Age of Covid-19.
TL;DR: A roadmap for integrating the fields of digital health and SUD clinical trials by proposing methods to complete recruitment, screening, informed consent, other study procedures, and internal lab operations digitally is provided.
Journal ArticleDOI
Computational Mechanisms of Addiction: Recent Evidence and Its Relevance to Addiction Medicine
TL;DR: A review of recent computational modelling studies of substance use disorders (SUDs), with a focus on work published within the last 5 years, can be found in this paper, where Bayesian approaches offer a complementary perspective, suggesting that drug induced overconfidence in prior expectations prevents substance users from appropriately updating their beliefs in the face of negative outcomes.
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Reinforcement learning detuned in addiction: integrative and translational approaches
TL;DR: In this article , the decision-making processes underlying addiction have been investigated using computational biomarkers of decision functions and found that value updating following positive, but not negative, outcomes is predictive of drug use, whereas value updating is disrupted following negative but not positive, outcomes following drug self-administration.
References
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Journal ArticleDOI
A selective role for dopamine in stimulus–reward learning
Shelly B. Flagel,Jeremy Clark,Terry E. Robinson,Leah M. Mayo,Alayna Czuj,Ingo Willuhn,Christina A. Akers,Sarah M. Clinton,Paul E. M. Phillips,Huda Akil +9 more
TL;DR: Insight is provided into the neurobiology of a form of stimulus–reward learning that confers increased susceptibility to disorders of impulse control and in individuals with a propensity for this form of learning, reward cues come to powerfully motivate and control behaviour.
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Goal-directed learning and obsessive–compulsive disorder
TL;DR: It is proposed that the irrational threat beliefs (obsessions) characteristic of OCD may be a consequence, rather than an instigator, of compulsive behaviour in these patients, laying the foundation for a potential shift in both clinical and neuropsychological conceptualization of OCD and related disorders.
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Appetitive Pavlovian-instrumental Transfer: A review.
TL;DR: This paper presents a systematic review of both the neural substrates and the behavioral factors affecting both types of transfer, and analyses the theoretical aspects of transfer to build an overall picture of the phenomenon.
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Model-based control in dimensional psychiatry
TL;DR: Tasks that tap into goal-directed and habitual strategies and emphasize the clinical relevance and translation of these tasks in psychiatric disorders highlight a role for model-based control as a transdiagnostic impairment underlying compulsive behaviors and representing a promising therapeutic target.
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Dissociating neural learning signals in human sign- and goal-trackers.
Daniel J. Schad,Daniel J. Schad,Michael A. Rapp,Maria Garbusow,Stephan Nebe,Stephan Nebe,Miriam Sebold,Miriam Sebold,Elisabeth Obst,Christian Sommer,Lorenz Deserno,Lorenz Deserno,Lorenz Deserno,Milena Rabovsky,Eva Friedel,Nina Romanczuk-Seiferth,Hans-Ulrich Wittchen,Hans-Ulrich Wittchen,Ulrich S. Zimmermann,Henrik Walter,Philipp Sterzer,Michael N. Smolka,Florian Schlagenhauf,Florian Schlagenhauf,Andreas Heinz,Peter Dayan,Peter Dayan,Quentin J. M. Huys,Quentin J. M. Huys,Quentin J. M. Huys +29 more
TL;DR: Double dissociation is demonstrated in 129 male humans using eye-tracking, pupillometry and functional magnetic resonance imaging informed by computational models of sign- and goal-tracking to show that sign-trackers exhibit a neural reward prediction error signal that is not detectable in goal- Trackers, and that model-free value only guides gaze and pupil dilation in sign-tracking.