Evidence map›Paper›PMID 37339816›Full record

ArticleJournal of psychiatry & neuroscience : JPN

Elevated decision uncertainty and reduced avoidance drives in depression, anxiety and substance use disorders during approach-avoidance conflict: a replication study.

Ryan Smith, Claire A Lavalley, Samuel Taylor, Jennifer L Stewart, Sahib S Khalsa, Hannah Berg, Maria Ironside, Martin P Paulus, Robin Aupperle

Open access · diamondAbstract read
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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  10. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  11. Article
  12. How Distributed Subcortical Integration of Reward and Threat May Inform Subsequent Approach-Avoidance Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  13. Review
  14. Naturalistic computational psychiatry: How to get there?Journal of psychiatry & neuroscience : JPN
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Ryan SmithFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA rsmith@laureateinstitute.org.
Claire A LavalleyFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Samuel TaylorFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Jennifer L StewartFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Sahib S KhalsaFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Hannah BergFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Maria IronsideFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Martin P PaulusFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Robin AupperleFrom the Laureate Institute for Brain Research, Tulsa, Okla., USA.
Laureate Institute for Brain Research · US

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Maëlle Camille Marie Gueguen · 2017 to 2026
$23.7M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
Plasticity of Aversive Salience in Opioid Use DisorderR01DA050677 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI STEWART, JENNIFER LORRAINE · 2021 to 2025
$3.0M
An Approach-Avoidance, Computational Framework for Predicting Behavioral Therapy Outcome in Anxiety and DepressionR01MH123691 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2020 to 2024
$2.6M
Approach-Avoidance Conflict-a multi-level predictor for exposure therapy responseK23MH108707 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2016 to 2020
$976k
NIDA NIH HHS R01 DA050677NIDA NIH HHS U01 DA050989NIGMS NIH HHS P20 GM121312NIMH NIH HHS K23 MH108707NIMH NIH HHS R01 MH123691
6 · The paper itself

Abstract

backgroundDecision-making under approach-avoidance conflict (AAC; e.g., sacrificing quality of life to avoid feared outcomes) may be affected in multiple psychiatric disorders. Recently, we used a computational (active inference) model to characterize information processing differences during AAC in individuals with depression, anxiety and/or substance use disorders. Individuals with psychiatric disorders exhibited increased decision uncertainty (DU) and reduced sensitivity to unpleasant stimuli. This preregistered study aimed to determine the replicability of this processing dysfunction.

methodsA new sample of participants completed the AAC task. Individual-level computational parameter estimates, reflecting decision uncertainty and sensitivity to unpleasant stimuli ("emotion conflict"; EC), were obtained and compared between groups. Subsequent analyses combining the prior and current samples allowed assessment of narrower disorder categories.

resultsThe sample in the present study included 480 participants: 97 healthy controls, 175 individuals with substance use disorders and 208 individuals with depression and/or anxiety disorders. Individuals with substance use disorders showed higher DU and lower EC values than healthy controls. The EC values were lower in females, but not males, with depression and/or anxiety disorders than in healthy controls. However, the previously observed difference in DU between participants with depression and/or anxiety disorders and healthy controls did not replicate. Analyses of specific disorders in the combined samples indicated that effects were common across different substance use disorders and affective disorders. LIMITATIONS: There were differences, although with small effect size, in age and baseline intellectual functioning between the previous and current sample, which may have affected replication of DU differences in participants with depression and/or anxiety disorders.

conclusionThe now robust evidence base for these clinical group differences motivates specific questions that should be addressed in future research: can DU and EC become behavioural treatment targets, and can we identify neural substrates of DU and EC that could be used to measure severity of dysfunction or as neuromodulatory treatment targets?

Indexed as

DepressionSubstance-Related DisordersAnxietyAnxiety DisordersFemaleHumansQuality of LifeUncertainty

Identifiers

PMID37339816
PMCPMC10281720
OpenAlexW4381433601

What OpenQuestion 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 OpenQuestion graph.