Defensive freezing and its relation to approach-avoidance decision-making under threat.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
08 06 2021
Historique:
received: 16 12 2020
accepted: 17 05 2021
entrez: 9 6 2021
pubmed: 10 6 2021
medline: 16 11 2021
Statut: epublish

Résumé

Successful responding to acutely threatening situations requires adequate approach-avoidance decisions. However, it is unclear how threat-induced states-like freezing-related bradycardia-impact the weighing of the potential outcomes of such value-based decisions. Insight into the underlying computations is essential, not only to improve our models of decision-making but also to improve interventions for maladaptive decisions, for instance in anxiety patients and first-responders who frequently have to make decisions under acute threat. Forty-two participants made passive and active approach-avoidance decisions under threat-of-shock when confronted with mixed outcome-prospects (i.e., varying money and shock amounts). Choice behavior was best predicted by a model including individual action-tendencies and bradycardia, beyond the subjective value of the outcome. Moreover, threat-related bradycardia (high-vs-low threat) interacted with subjective value, depending on the action-context (passive-vs-active). Specifically, in action-contexts incongruent with participants' intrinsic action-tendencies, stronger bradycardia related to diminished effects of subjective value on choice across participants. These findings illustrate the relevance of testing approach-avoidance decisions in relatively ecologically valid conditions of acute and primarily reinforced threat. These mechanistic insights into approach-avoidance conflict-resolution may inspire biofeedback-related techniques to optimize decision-making under threat. Critically, the findings demonstrate the relevance of incorporating internal psychophysiological states and external action-contexts into models of approach-avoidance decision-making.

Identifiants

pubmed: 34103543
doi: 10.1038/s41598-021-90968-z
pii: 10.1038/s41598-021-90968-z
pmc: PMC8187589
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

12030

Subventions

Organisme : Medical Research Council
ID : MR/L019639/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/T031344/1
Pays : United Kingdom

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Auteurs

Felix H Klaassen (FH)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands. f.klaassen@donders.ru.nl.

Leslie Held (L)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Radboud University, Behavioural Science Institute, Nijmegen, The Netherlands.

Bernd Figner (B)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Radboud University, Behavioural Science Institute, Nijmegen, The Netherlands.

Jill X O'Reilly (JX)

Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford, UK.

Floris Klumpers (F)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Radboud University, Behavioural Science Institute, Nijmegen, The Netherlands.

Lycia D de Voogd (LD)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.

Karin Roelofs (K)

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Radboud University, Behavioural Science Institute, Nijmegen, The Netherlands.

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