Evidence map›Paper›PMID 39069563›Full record

ArticleScientific reports2024

Observational threat learning influences costly avoidance behaviour in healthy humans.

Madeleine Mueller, Oded Cohen, Tomer Shechner, Jan Haaker

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Madeleine MuellerDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf (Germany), Martinistr.52, 20251, Hamburg, Germany. dr.madmueller@gmail.com.
Oded CohenSchool of Psychological Sciences and the Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Israel.
Tomer ShechnerSchool of Psychological Sciences and the Integrated Brain and Behavior Research Center, University of Haifa, Haifa, Israel.
Jan HaakerDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf (Germany), Martinistr.52, 20251, Hamburg, Germany. j.haaker@uke.de.

Funding

Deutsche Forschungsgemeinschaft HA 7470/3-1
6 · The paper itself

Abstract

Avoidance is an essential behaviour for ensuring safety in uncertain and dangerous environments. One way to learn what is dangerous and must be avoided is through observational threat learning. This online study explored the behavioural implications of observed threat learning, examining how participants avoided or approached a learned threat and how this affected their movement patterns. Participants (n = 89) completed an observational threat learning task, rating their fear, discomfort, and physical arousal in response to conditioned stimuli. The retrieval of learned threat was reassessed 24 h later, followed by a reminder of the observed threat associations. Participants subsequently completed a computerised avoidance task, in which they navigated from a starting point to an endpoint by selecting one of two doors, each associated with either safety or danger, relying on observed information. Opting for the safe door entailed increased effort to attain the goal. Results demonstrated that observational threat learning influenced avoidance behaviour and decision-making dependent on baseline effort level. Participants tended to exhibit thigmotaxis, staying close to walls and taking extra steps to reach their goal. This behaviour indirectly mediated the number of steps taken. This study provides valuable insights into avoidance behaviour following observational threat learning in healthy humans.

Indexed as

Avoidance LearningFearAdolescentAdultDecision MakingFemaleHumansLearningMaleYoung Adult

Identifiers

PMID39069563
PMCPMC11284217

What OpenQuestion holds

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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.