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Record W4415813725 · doi:10.1037/emo0001590

Violence exposure moderates stress-elicited neurobehavioral function in young people.

2025· article· en· W4415813725 on OpenAlexaboutno aff
Cameryn T Eickstead, Elizabeth Davis, Adam M. Goodman, Juliann B. Purcell, Heather E. Dark, Devon K Grey, Anudeep Bolaram, Tyler R. Orem, Muriah D. Wheelock, Sylvie Mrug, David C. Knight

Bibliographic record

VenueEmotion · 2025
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsPrefrontal cortexNeuroimagingMental healthYoung adultInjury preventionPoison controlBrain activity and meditationDorsolateral prefrontal cortex

Abstract

fetched live from OpenAlex

= 301) returned 1 year later (age = 20) to complete mental health (i.e., anxiety, depression, and posttraumatic stress) questionnaires and the Montreal Imaging Stress Task during behavioral (e.g., skin conductance response and cortisol) and neuroimaging data collection. Data were collected from 2004 to 2018. Violence exposure was positively associated with mental health symptoms. Further, violence exposure moderated the relationship between stress-elicited dorsolateral prefrontal cortex activity and depression, cortisol, and skin conductance response. These findings suggest that violence exposure moderates the relationship between stress-elicited brain function and emotion-related behavior in young people. These findings provide novel insight into neural processes that may underlie the relationship between prior violence exposure and emotional function, which may have important implications for mental health. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.270
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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