Evidence map›Paper›PMID 36257347›Full record

ReviewNeuroscience and biobehavioral reviews2022

Pattern analysis of neuroimaging data reveals novel insights on threat learning and extinction in humans.

Augustin C Hennings, Samuel E Cooper, Jarrod A Lewis-Peacock, Joseph E Dunsmoor

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Parkinson's disease cerebrovascular reactivity pattern: A feasibility study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Neuroimaging of Fear Extinction.Current topics in behavioral neurosciences · 2023
    Review
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

4 authors.

Augustin C HenningsPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA; Institute for Neuroscience, University of Texas at Austin, Austin, TX, USA; Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Samuel E CooperDepartment of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Jarrod A Lewis-PeacockInstitute for Neuroscience, University of Texas at Austin, Austin, TX, USA; Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA; Center for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX, USA; Department of Psychology, University of Texas at Austin, Austin, TX, USA.
Joseph E DunsmoorInstitute for Neuroscience, University of Texas at Austin, Austin, TX, USA; Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX, USA; Center for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX, USA. Electronic address: joseph.dunsmoor@austin.utexas.edu.

Funding

Neural and Cognitive Mechanisms for Removing Emotional Information from Working MemoryR01MH129042 · NIMH · UNIVERSITY OF COLORADO · PI BANICH, MARIE T, LEWIS-PEACOCK, JARROD A · 2022 to 2025
$3.0M
Localizing and modulating competing memories of fear and safety in the human brainR01MH122387 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI DUNSMOOR, JOSEPH EDWARD · 2021 to 2025
$2.7M
Biasing the Forgetting of Visual MemoriesR01EY028746 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI LEWIS-PEACOCK, JARROD A · 2018 to 2022
$1.8M
Neurobehavioral Mechanisms of Higher-Order and Conceptual Fear and Avoidance Generalization in Anxiety PsychopathologyF32MH129136 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI COOPER, SAMUEL EMERSON · 2022 to 2023
$115k
Neural mechanisms of extinction generalization in humanF31MH124360 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI HENNINGS, AUGUSTIN COLE · 2020 to 2021
$79k
NEI NIH HHS R01 EY028746NIMH NIH HHS F31 MH124360NIMH NIH HHS F32 MH129136NIMH NIH HHS R01 MH122387NIMH NIH HHS R01 MH129042
6 · The paper itself

Abstract

Several decades of rodent neurobiology research have identified a network of brain regions that support Pavlovian threat conditioning and extinction, focused predominately on the amygdala, hippocampus, and medial prefrontal cortex (mPFC). Surprisingly, functional magnetic resonance imaging (fMRI) studies have shown inconsistent evidence for these regions while humans undergo threat conditioning and extinction. In this review, we suggest that translational neuroimaging efforts have been hindered by reliance on traditional univariate analysis of fMRI. Whereas univariate analyses average activity across voxels in a given region, multivariate pattern analyses (MVPA) leverage the information present in spatial patterns of activity. MVPA therefore provides a more sensitive analysis tool to translate rodent neurobiology to human neuroimaging. We review human fMRI studies using MVPA that successfully bridge rodent models of amygdala, hippocampus, and mPFC function during Pavlovian learning. We also highlight clinical applications of these information-sensitive multivariate analyses. In sum, we advocate that the field should consider adopting a variety of multivariate approaches to help bridge cutting-edge research on the neuroscience of threat and anxiety.

Indexed as

Extinction, PsychologicalFearAmygdalaConditioning, ClassicalHumansMagnetic Resonance ImagingNeuroimagingPrefrontal CortexAmygdalaExtinctionFearFMRIHippocampusMPFCMVPAUnivariate

Identifiers

PMID36257347
PMCPMC11163873

What OpenQuestion holds

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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.