Evidence map›Paper›PMID 41487284›Full record

ArticleMental health and physical activity2025

Episodic Memories Bias Contextual Threat Inferences after Aerobic and Mind-Body Exercise.

John Leri, Kevin M Crombie, Joseph E Dunsmoor, Josh M Cisler

Abstract read
In one paragraph

Article in Mental health and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

John LeriThe University of Texas at Austin Dell Medical School, Department of Psychiatry and Behavioral Sciences.
Kevin M CrombieThe University of Alabama, Department of Kinesiology.
Joseph E DunsmoorThe University of Texas at Austin Dell Medical School, Department of Psychiatry and Behavioral Sciences.
Josh M CislerThe University of Texas at Austin Dell Medical School, Department of Psychiatry and Behavioral Sciences.

Funding

Neurochemical & Behavioral Correlates of ETOH EffectsT32AA007471 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI Kimberly Nixon · 1987 to 2026
$9.2M
The influence of aerobic exercise on consolidation of fear extinction learning in PTSDK01MH132545 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Kevin M Crombie · 2023 to 2026
$721k
NIAAA NIH HHS T32 AA007471NIMH NIH HHS K01 MH132545
6 · The paper itself

Abstract

Background and Aim: Contextual threat inference is the process by which latent environmental threat is recognized, a key component of memory which guides decision making. This study sought to interrogate the contribution of episodic memory towards contextual threat inference and determine if acute exercise, an intervention which impacts memory, could magnify the effects of memory on contextual threat inferences. Methods: Participants ( Results: Participants learned to differentiate contexts based on the unique combinations of conditioned stimuli and threat probabilities. During the threat inference task, recognized episodic memory probes biased contextual threat inferences, but only after participants completed moderate-intensity aerobic exercise or yoga. Recognition of the episodic memory probes was equal across exercise conditions. Conclusion: These findings provide novel support for the role of episodic memory on contextual threat inferences. There was evidence that moderate-intensity aerobic exercise and yoga impact associative ties between episodic memories and context. These results support neurocomputational models which integrate episodic memory with reinforcement learning and inform the cognitive processes through which exercise may impact contextual threat inference.

Identifiers

PMID41487284
PMCPMC12758897

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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.