Resistance to Extinction of Evaluative Fear Conditioning in Delusion Proneness.


Journal

Schizophrenia bulletin open
ISSN: 2632-7899
Titre abrégé: Schizophr Bull Open
Pays: United States
ID NLM: 101770329

Informations de publication

Date de publication:
Jan 2022
Historique:
medline: 5 6 2022
pubmed: 5 6 2022
entrez: 15 8 2024
Statut: epublish

Résumé

Delusional beliefs consist of strong priors characterized by resistance to change even when evidence supporting another view is overwhelming. Such bias against disconfirmatory evidence (BADE) has been experimentally demonstrated in patients with psychosis as well as in delusion proneness. In this fMRI-study, we tested for similar resistance to change and associated brain processes in extinction of fear learning, involving a well-described mechanism dependent of evidence updating. A social fear conditioning paradigm was used in which four faces had either been coupled to an unconditioned aversive stimulus (CS+) or not (CS-). For two of the faces, instructions had been given about the fear contingencies (iCS+/iCS-) while for two other faces no such instructions had been given (niCS+/niCS-). Interaction analysis suggested that individuals who score high on delusion-proneness (hDP;

Identifiants

pubmed: 39144763
doi: 10.1093/schizbullopen/sgac033
pii: sgac033
pmc: PMC11205979
doi:

Types de publication

Journal Article

Langues

eng

Pagination

sgac033

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the University of Maryland's school of medicine, Maryland Psychiatric Research Center.

Auteurs

Anaïs Louzolo (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Alexander V Lebedev (AV)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Cognitive and Computational Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Malin Björnsdotter (M)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Cognitive and Computational Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Kasim Acar (K)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Christine Ahrends (C)

Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.

Morten L Kringelbach (ML)

Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.
Hedonia Research Group, Department of Psychiatry, University of Oxford, Oxford, UK.

Martin Ingvar (M)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Andreas Olsson (A)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Cognitive and Computational Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Predrag Petrovic (P)

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Center for Cognitive and Computational Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Classifications MeSH