AI Article Synopsis

  • This study investigates how individuals with Alcohol Use Disorder (AUD) process decisions under stress, focusing on differences between Model-Free (MF) and Model-Based (MB) learning.
  • It involved 117 participants (55 with AUD, 62 controls) who underwent a stress-inducing task and a decision-making task to assess their learning tendencies.
  • Results indicate that those with AUD rely more on retrospective (MF) decision-making and less on prospective (MB) strategies, particularly under stress, suggesting unique stress responses in AUD individuals that have clinical implications.

Article Abstract

Background: From both clinical and theoretical perspectives, understanding the functionality of evaluative reinforcement learning mechanisms (Model-Free, MF, and Model-Based, MB) under provoked stress, particularly in Alcohol Use Disorder (AUD), is crucial yet underexplored. This study aims to evaluate whether individuals with AUD who do not seek treatment show a greater tendency towards retrospective behaviors (MF) rather than prospective and deliberative simulations (MB) compared to controls. Additionally, it examines the impact of induced social stress on these decision-making processes.

Methods: A cohort comprising 117 participants, including 55 individuals with AUD and 62 controls, was examined. Acute social stress was induced through the socially evaluated cold pressor task (SECPT), followed by engagement in a Two-Step Markov task to assess MB and MF learning tendencies. We measured hypothalamic-pituitary-adrenal axis stress response using salivary cortisol levels.

Results: Both groups showed similar baseline cortisol levels and responses to the SECPT. Our findings indicate that participants with AUD exhibit a reduced reliance on MB strategies compared to those without AUD. Furthermore, stress decreases reliance on MB strategies in healthy participants, but this effect is not observed in those with AUD.

Conclusion: An atypical pattern of stress modulation impacting the balance between MB and MF reinforcement learning was identified in individuals with AUD who are not seeking treatment. Potential explanations for these findings and their clinical implications are explored.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11629551PMC
http://dx.doi.org/10.1016/j.abrep.2024.100574DOI Listing

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