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Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI). Karolinska Institutet, Sweden.ORCID iD: 0000-0003-3381-2040
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Number of Authors: 62021 (English)In: Royal Society Open Science, E-ISSN 2054-5703, Vol. 8, no 11, article id 202116Article in journal (Refereed) Published
Abstract [en]

Past research has shown that attributions of intentions to other's actions determine how we experience these actions and their consequences. Yet, it is unknown how such attributions affect our learning and memory. Addressing this question, we combined neuroimaging with an interactive threat learning paradigm in which two interaction partners (confederates) made choices that had either threatening (shock) or safe (no shock) consequences for the participants. Importantly, participants were led to believe that one partner intentionally caused the delivery of shock, whereas the other did not (i.e. unintentional partner). Following intentional versus unintentional shocks, participants reported an inflated number of shocks and a greater increase in anger and vengeance. We applied a model-based representational similarity analysis to blood-oxygen-level-dependent (BOLD)-MRI patterns during learning. Surprisingly, we did not find any effects of intentionality. The threat value of actions, however, was represented as a trial-by-trial increase in representational similarity in the insula and the inferior frontal gyrus. Our findings illustrate how neural pattern formation can be used to study a complex interaction.

Place, publisher, year, edition, pages
2021. Vol. 8, no 11, article id 202116
Keywords [en]
threat learning, representational similarity analysis, intention, fMRI, social learning
National Category
Neurosciences
Research subject
Psychology
Identifiers
URN: urn:nbn:se:su:diva-199805DOI: 10.1098/rsos.202116ISI: 000721715200009PubMedID: 34849237Scopus ID: 2-s2.0-85122333430OAI: oai:DiVA.org:su-199805DiVA, id: diva2:1621326
Available from: 2021-12-17 Created: 2021-12-17 Last updated: 2022-06-10Bibliographically approved

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de Boer, LiekeGolkar, Armita

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf