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Updated: Jun 21, 2025
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A General Method for Evaluating Deep Brain Stimulation Effects on Intravenous Methamphetamine Self-Administration
Published on: January 22, 2016
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Computational Mechanisms Underlying Multi-Step Planning Deficits in Methamphetamine Use Disorder.
Claire A Lavalley1, Marishka M Mehta2, Samuel Taylor1
1Laureate Institute for Brain Research, Tulsa, OK, United States.
Medrxiv : the Preprint Server for Health Sciences
|July 9, 2024
Summary
Individuals with methamphetamine use disorder struggle with planning, especially when facing negative outcomes. This "aversive pruning" is worsened by stress and craving, increasing relapse risk.
Area of Science:
- Neuroscience
- Psychology
- Decision Science
Background:
- Methamphetamine use disorder (iMUD) is linked to impaired long-term decision-making, elevating relapse risk.
- Aversive interoceptive states like stress and withdrawal exacerbate this risk in iMUDs.
Purpose of the Study:
- To investigate computational mechanisms of planning in iMUDs.
- To examine how aversive interoceptive states impact planning and decision-making in iMUDs.
Main Methods:
- 40 iMUDs and 49 healthy controls performed a multi-step planning task.
- The task was conducted with and without an anxiogenic breathing resistance manipulation.
- Computational modeling analyzed planning strategies and identified 'aversive pruning'.
Main Results:
- iMUDs exhibited a specific deficit in identifying optimal plans requiring tolerance of negative short-term outcomes (aversive pruning).
- Increased craving correlated with heightened aversive pruning in iMUDs.
- Anxiety induction intensified aversive pruning in iMUDs.
Conclusions:
- Aversive pruning represents a novel computational mechanism contributing to poor decision-making in iMUDs.
- This mechanism may increase vulnerability to relapse, particularly under stress or withdrawal.
- Understanding aversive pruning offers potential targets for relapse prevention strategies.
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