Evidence map›Paper›PMID 40413170›Full record

ArticleTranslational psychiatry2025

Computational mechanisms underlying multi-step planning deficits in methamphetamine use disorder.

Claire A Lavalley, Marishka M Mehta, Samuel Taylor, Anne E Chuning, Jennifer L Stewart, Quentin J M Huys, Sahib S Khalsa, Martin P Paulus, Ryan Smith

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Claire A LavalleyLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0009-0005-2994-662X
Marishka M MehtaLaureate Institute for Brain Research, Tulsa, OK, USA.
Samuel TaylorLaureate Institute for Brain Research, Tulsa, OK, USA.
Anne E ChuningLaureate Institute for Brain Research, Tulsa, OK, USA.
Jennifer L StewartLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0003-0123-9438
Quentin J M HuysDivision of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging Neuroscience, Queen Square Institute of Neurology, University College London, London, UK.ORCID http://orcid.org/0000-0002-8999-574X
Sahib S KhalsaLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0003-2124-8585
Martin P PaulusLaureate Institute for Brain Research, Tulsa, OK, USA.ORCID http://orcid.org/0000-0002-0825-3606
Ryan SmithLaureate Institute for Brain Research, Tulsa, OK, USA. rsmith@laureateinstitute.org.ORCID http://orcid.org/0000-0002-4448-185X

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI MARTIN P. PAULUS · 2017 to 2026
$23.7M
Plasticity of Aversive Salience in Opioid Use DisorderR01DA050677 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI STEWART, JENNIFER LORRAINE · 2021 to 2025
$3.0M
NIDA NIH HHS R01 DA050677NIGMS NIH HHS P20 GM121312U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) P20GM121312U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) R01DA050677
6 · The paper itself

Abstract

Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g., stress, withdrawal) are also known to increase this risk. The present study analyzed computational mechanisms of planning in iMUDs, and examined the potential impact of an aversive interoceptive state induction. A group of 40 iMUDs and 49 healthy participants completed two runs of a multi-step planning task, with and without an anxiogenic breathing resistance manipulation. Computational modeling revealed that iMUDs had selective difficulty identifying the best overall plan when this required enduring negative short-term outcomes - a mechanism referred to as aversive pruning. Increases in reported craving before and after the induction also predicted greater aversive pruning in iMUDs. These results highlight aversive pruning deficits as a novel mechanism that could promote poor choice in recovering iMUDs and create vulnerability to relapse.

Indexed as

Amphetamine-Related DisordersDecision MakingInteroceptionMethamphetamineAdultCravingFemaleHumansMaleYoung AdultMethamphetamine

Identifiers

PMID40413170
PMCPMC12103525

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.