Observational threat learning influences costly avoidance behaviour in healthy humans.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
28 Jul 2024
28 Jul 2024
Historique:
received:
06
02
2024
accepted:
21
06
2024
medline:
29
7
2024
pubmed:
29
7
2024
entrez:
28
7
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 39069563
doi: 10.1038/s41598-024-65602-3
pii: 10.1038/s41598-024-65602-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17346Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : HA 7470/3-1
Informations de copyright
© 2024. The Author(s).
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