Evidence map›Paper›PMID 39804855›Full record

ArticlePLoS biology2025

Subregions in the ventromedial prefrontal cortex integrate threat and protective information to meta-represent safety.

Sarah M Tashjian, Joseph Cussen, Wenning Deng, Bo Zhang, Dean Mobbs

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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. Article
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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.

Sarah M TashjianSchool of Psychological Sciences, University of Melbourne, Parkville, Australia.ORCID https://orcid.org/0000-0002-2944-2203
Joseph CussenSchool of Psychological Sciences, University of Melbourne, Parkville, Australia.
Wenning DengHumanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America.
Bo ZhangHumanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America.
Dean MobbsHumanities and Social Sciences, California Institute of Technology, Pasadena, California, United States of America.

Funding

Fractionating human defensive circuits across changing levels of threat imminenceR01MH133730 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MOBBS, DEAN · 2023 to 2025
$2.1M
NIMH NIH HHS R01 MH133730
6 · The paper itself

Abstract

Pivotal to self-preservation is the ability to identify when we are safe and when we are in danger. Previous studies have focused on safety estimations based on the features of external threats and do not consider how the brain integrates other key factors, including estimates about our ability to protect ourselves. Here, we examine the neural systems underlying the online dynamic encoding of safety. The current preregistered study used 2 novel tasks to test 4 facets of safety estimation: Safety Prediction, Meta-representation, Recognition, and Value Updating. We experimentally manipulated safety estimation changing both levels of external threats and self-protection. Data were collected in 2 independent samples (behavioral N = 100; MRI N = 30). We found consistent evidence of subjective changes in the sensitivity to safety conferred through protection. Neural responses in the ventromedial prefrontal cortex (vmPFC) tracked increases in safety during all safety estimation facets, with specific tuning to protection. Further, informational connectivity analyses revealed distinct hubs of safety coding in the posterior and anterior vmPFC for external threats and protection, respectively. These findings reveal a central role of the vmPFC for coding safety.

Indexed as

FearPrefrontal CortexSafetyAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID39804855
PMCPMC11730396

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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.