The role of reinforcement learning in shaping the decision policy in methamphetamine use disorders

Ghaderi, Sadegh; Hemami, Mohammad; Khosrowabadi, Reza; Rad, Jamal Amani

doi:10.1016/j.jocm.2024.100469

Journal of Choice Modelling

2024

DOI: 10.1016/j.jocm.2024.100469

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The role of reinforcement learning in shaping the decision policy in methamphetamine use disorders

Sadegh Ghaderi,

Mohammad Hemami,

Reza Khosrowabadi

et al.

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2024

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Cited by 1 publication

References 132 publications

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Individuals with Methamphetamine Use Disorder Show Reduced Directed Exploration and Learning Rates Independent of an Aversive Interoceptive State Induction

Goldman,

Takahashi,

Lavalley

et al. 2024

Preprint

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Methamphetamine Use Disorder (MUD) is associated with substantially reduced quality of life. Yet, decisions to use persist, due in part to avoidance of anticipated withdrawal states. However, the specific cognitive mechanisms underlying this decision process, and possible modulatory effects of aversive states, remain unclear. Here, 56 individuals with MUD and 58 healthy comparisons (HCs) performed a decision task, both with and without an aversive interoceptive state induction. Computational modeling measured the tendency to test beliefs about uncertain outcomes (directed exploration) and the ability to update beliefs in response to outcomes (learning rates). Compared to HCs, those with MUD exhibited less directed exploration and slower learning rates, but these differences were not affected by aversive state induction. These results suggest novel, state-independent computational mechanisms whereby individuals with MUD may have difficulties in testing beliefs about the tolerability of abstinence and in adjusting behavior in response to consequences of continued use.

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Individuals with Methamphetamine Use Disorder Show Reduced Directed Exploration and Learning Rates Independent of an Aversive Interoceptive State Induction

Goldman,

Takahashi,

Lavalley

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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The role of reinforcement learning in shaping the decision policy in methamphetamine use disorders

Cited by 1 publication

References 132 publications

Individuals with Methamphetamine Use Disorder Show Reduced Directed Exploration and Learning Rates Independent of an Aversive Interoceptive State Induction

Individuals with Methamphetamine Use Disorder Show Reduced Directed Exploration and Learning Rates Independent of an Aversive Interoceptive State Induction

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