Evidence map›Paper›PMID 40400218›Full record

ArticleSuicide & life-threatening behavior2025

Brain Activation During Suicide-Specific Cognition in Trauma-Exposed Veterans.

A Jagger-Rickels, J Kearns, T Evans, D Rothlein, C J Bryan, W P Milberg, C B Fortier, J DeGutis, M Esterman

Abstract read
In one paragraph

Article in Suicide & life-threatening behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

A Jagger-RickelsNational Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA.
J KearnsNational Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-9246-9057
T EvansDepartment of Psychological Sciences, Auburn University, Auburn, Alabama, USA.
D RothleinNational Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA.
C J BryanDepartment of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-9714-0733
W P MilbergDepartment of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
C B FortierDepartment of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
J DeGutisDepartment of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA.
M EstermanNational Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA.

Funding

Brain Rehabilitation Research Center B3001-CClinical Science Research and Development IK1CX002541CSRD VA I01 CX002583CSRD VA IK1 CX002541NIMH NIH HHS K23MH135222-02Rehabilitation Research and Development Service I21RX002737RRD VA I21 RX002737RRD VA I21 RX003727RRD VA I50 RX003001
6 · The paper itself

Abstract

introductionThe suicide Implicit Association Test (S-IAT) captures the strength of the implicit identification between self and death and is one of the few suicide-specific behavioral tasks that uniquely predicts future suicide risk. Thus, identifying brain regions associated with the S-IAT provides insights into the neural mechanisms underlying suicidality.

methodsThis study measured brain activation during the S-IAT with concurrent fMRI in a post-9/11 trauma-exposed veteran sample. In total, 37 post-9/11 veterans at low risk for suicide participated in this study as part of an ongoing longitudinal study.

resultsBehaviorally, participants were slower to categorize words during incongruent (death-me) contexts relative to congruent (life-me) contexts (p < 0.001). Whole-brain voxelwise fMRI contrasts revealed a brain network that was significantly more active during incongruent trials than congruent trials that included the bilateral occipital, posterior parietal, and cerebellum (corrected p < 0.05). This increased brain activation corresponded with task performance, suggesting that more brain resources are needed to complete death-me identifications.

conclusionsThese results suggest that death-me implicit identifications involve resolving conflict between self and death representations in the brain and mark an important step towards characterizing neural mechanisms contributing to suicidality.

Indexed as

BrainCognitionSuicideVeteransAdultFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle Agedanterior insulabrain markersmiddle temporal gyrussuicidalitysuicide implicit association test

Identifiers

PMID40400218
PMCPMC12915386

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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.