Evidence map›Paper›PMID 31173725›Full record

ArticleBrain research2019

Characterizing the neural circuitry associated with configural threat learning.

Daniel M Stout, Daniel E Glenn, Dean T Acheson, Alan N Simmons, Victoria B Risbrough

Abstract read
In one paragraph

Article in Brain research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Measuring human context fear conditioning and retention after consolidation.Learning & memory (Cold Spring Harbor, N.Y.) · 2023
    Article
  7. 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

5 authors.

Daniel M StoutCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA 92161, USA; Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA. Electronic address: dastout@ucsd.edu.
Daniel E GlennSemel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA.
Dean T AchesonCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA 92161, USA; Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA.
Alan N SimmonsCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA 92161, USA; Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA.
Victoria B RisbroughCenter of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA 92161, USA; Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA.

Funding

Structural & Network-Function Correlates of Fragmented Early-Life Across SpeciesP50MH096889 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARAM, TALLIE Z. · 2013 to 2023
$25.4M
Role of COMTval158met in PTSD risk and treatment responseI01BX002558 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI RISBROUGH, VICTORIA B · 2015 to 2018
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Neural correlates of PTSD in veterans with blast-related traumatic brain injuryI01CX000292 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI SIMMONS, ALAN N · 2011 to 2012
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Neurobehavioral Substrates Of Combat Stress: A Follow-Up StudyI01CX000715 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI SIMMONS, ALAN N · 2014 to 2017
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BLRD VA I01 BX002558CSRD VA I01 CX000292CSRD VA I01 CX000715NIMH NIH HHS P50 MH096889
6 · The paper itself

Abstract

Contextual threat learning is often associated with two processes: elemental and configural learning. Few studies have examined configural learning where subjects form a representation of the threat-related context as a gestalt whole from the individual features in the environment. The goal of the current study was to compare and contrast neural circuitry recruited by variation in demands placed on configural threat encoding. Subjects (N = 25) completed a configural threat learning task, where we manipulated the amount of configural encoding required to learn the threat association (low demand: changes to a discrete element of the context; and high demand: rearrangement of elements). US expectancy ratings, skin conductance responses (SCR), and functional magnetic resonance imaging (fMRI) were collected. Subjects successfully learned the configural threat association as measured by US expectancy ratings, SCR, and BOLD activity. Hippocampal and amygdala region of interest analyses indicated differential configural threat learning and predicted SCR measures of learning. Furthermore, whole brain analyses identified four circuits that were impacted by the amount of differential configural encoding required, but none correlated with SCR. These results set the stage for a more detailed understanding of how configural threat learning is instantiated in the brain-an important mechanism associated with PTSD and other fear-related disorders.

Indexed as

AdultAmygdalaBrainConditioning, ClassicalFearFemaleGalvanic Skin ResponseHippocampusHumansLearningMagnetic Resonance ImagingMaleMiddle AgedNerve NetConfigural learningContextual fearFear conditioningfMRIThreat processing

Identifiers

PMID31173725
PMCPMC7148156

What OpenQuestion holds

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Registered trials

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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.