Evidence map›Paper›PMID 33682653›Full record

ArticlePsychological medicine2022

Latent cause inference during extinction learning in trauma-exposed individuals with and without PTSD.

Agnes Norbury, Hannah Brinkman, Mary Kowalchyk, Elisa Monti, Robert H Pietrzak, Daniela Schiller, Adriana Feder

Abstract read
In one paragraph

Article in Psychological medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Latent-state and model-based learning in PTSD.Trends in neurosciences · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Computational perspectives on human fear and anxiety.Neuroscience and biobehavioral reviews · 2023
    Review
  12. 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

7 authors at 3 institutions in 1 country.

Agnes NorburyDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-4377-3164
Hannah BrinkmanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-5202-2549
Mary KowalchykDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Elisa MontiDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0003-3942-0013
Robert H PietrzakDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-5561-6414
Daniela SchillerDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-0357-7724
Adriana FederDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USAllen Institute for Brain Science · USUnited States Department of Veterans Affairs · US

Funding

Neuroimaging of Resilience in World Trade Center Responders: A Focus on Emotional Processing, Reward and Social CognitionU01OH011473 · OH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FEDER, ADRIANA, PIETRZAK, ROBERT H · 2017 to 2020
$2.4M
Fear learning and reconsolidation after trauma exposure a computational approachR01MH105535 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HARPAZ-ROTEM, ILAN, SCHILLER, DANIELA · 2015 to 2019
$2.4M
Internet-based Psychotherapies for PTSD Symptoms in WTC RespondersU01OH010729 · OH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FEDER, ADRIANA, PIETRZAK, ROBERT H · 2016 to 2018
$1.5M
NIMH NIH HHS R01 MH105535NIOSH CDC HHS U01 OH010729NIOSH CDC HHS U01 OH011473
6 · The paper itself

Abstract

backgroundProblems in learning that sights, sounds, or situations that were once associated with danger have become safe (extinction learning) may explain why some individuals suffer prolonged psychological distress following traumatic experiences. Although simple learning models have been unable to provide a convincing account of why this learning fails, it has recently been proposed that this may be explained by individual differences in beliefs about the causal structure of the environment.

methodsHere, we tested two competing hypotheses as to how differences in causal inference might be related to trauma-related psychopathology, using extinction learning data collected from clinically well-characterised individuals with varying degrees of post-traumatic stress (

resultsIndividuals with more severe PTSD were more likely to assign observations from conditioning and extinction stages to a single underlying cause. Specifically, greater re-experiencing symptom severity was associated with a lower likelihood of inferring that multiple causes were active in the environment.

conclusionsWe interpret these results as providing evidence of a primary deficit in discriminative learning in participants with more severe PTSD. Specifically, a tendency to attribute a greater diversity of stimulus configurations to the same underlying cause resulted in greater uncertainty about stimulus-outcome associations, impeding learning both that certain stimuli were safe, and that certain stimuli were no longer dangerous. In the future, better understanding of the role of causal inference in trauma-related psychopathology may help refine cognitive therapies for these disorders.

Indexed as

Causal inferencecomputational psychiatryextinction learninggeneralizationPTSD

Identifiers

PMID33682653
PMCPMC13493150
OpenAlexW3134164561

What OpenQuestion holds

Textmetadata
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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.