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Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions

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 lea...

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Detalles Bibliográficos
Autores principales: Undeger, Irem, Visser, Renée M., Becker, Nina, de Boer, Lieke, Golkar, Armita, Olsson, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611347/
https://www.ncbi.nlm.nih.gov/pubmed/34849237
http://dx.doi.org/10.1098/rsos.202116
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author Undeger, Irem
Visser, Renée M.
Becker, Nina
de Boer, Lieke
Golkar, Armita
Olsson, Andreas
author_facet Undeger, Irem
Visser, Renée M.
Becker, Nina
de Boer, Lieke
Golkar, Armita
Olsson, Andreas
author_sort Undeger, Irem
collection PubMed
description 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.
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spelling pubmed-86113472021-11-29 Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions Undeger, Irem Visser, Renée M. Becker, Nina de Boer, Lieke Golkar, Armita Olsson, Andreas R Soc Open Sci Psychology and Cognitive Neuroscience 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. The Royal Society 2021-11-24 /pmc/articles/PMC8611347/ /pubmed/34849237 http://dx.doi.org/10.1098/rsos.202116 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Psychology and Cognitive Neuroscience
Undeger, Irem
Visser, Renée M.
Becker, Nina
de Boer, Lieke
Golkar, Armita
Olsson, Andreas
Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title_full Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title_fullStr Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title_full_unstemmed Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title_short Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
title_sort model-based representational similarity analysis of blood-oxygen-level-dependent fmri captures threat learning in social interactions
topic Psychology and Cognitive Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611347/
https://www.ncbi.nlm.nih.gov/pubmed/34849237
http://dx.doi.org/10.1098/rsos.202116
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