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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Autores principales:	Irem Undeger, Renée M. Visser, Nina Becker, Lieke de Boer, Armita Golkar, Andreas Olsson
Formato:	article
Lenguaje:	EN
Publicado:	The Royal Society 2021
Materias:	threat learning representational similarity analysis intention fMRI social learning Science Q
Acceso en línea:	https://doaj.org/article/d5d99fb0cd574a20886dcbc4c36e5ad7
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spelling	oai:doaj.org-article:d5d99fb0cd574a20886dcbc4c36e5ad72021-11-24T08:05:47ZModel-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions10.1098/rsos.2021162054-5703https://doaj.org/article/d5d99fb0cd574a20886dcbc4c36e5ad72021-11-01T00:00:00Zhttps://royalsocietypublishing.org/doi/10.1098/rsos.202116https://doaj.org/toc/2054-5703Past 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.Irem UndegerRenée M. VisserNina BeckerLieke de BoerArmita GolkarAndreas OlssonThe Royal Societyarticlethreat learningrepresentational similarity analysisintentionfMRIsocial learningScienceQENRoyal Society Open Science, Vol 8, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	threat learning representational similarity analysis intention fMRI social learning Science Q
spellingShingle	threat learning representational similarity analysis intention fMRI social learning Science Q Irem Undeger Renée M. Visser Nina Becker Lieke de Boer Armita Golkar Andreas Olsson Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions
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.
format	article
author	Irem Undeger Renée M. Visser Nina Becker Lieke de Boer Armita Golkar Andreas Olsson
author_facet	Irem Undeger Renée M. Visser Nina Becker Lieke de Boer Armita Golkar Andreas Olsson
author_sort	Irem Undeger
title	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_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_sort	model-based representational similarity analysis of blood-oxygen-level-dependent fmri captures threat learning in social interactions
publisher	The Royal Society
publishDate	2021
url	https://doaj.org/article/d5d99fb0cd574a20886dcbc4c36e5ad7
work_keys_str_mv	AT iremundeger modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions AT reneemvisser modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions AT ninabecker modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions AT liekedeboer modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions AT armitagolkar modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions AT andreasolsson modelbasedrepresentationalsimilarityanalysisofbloodoxygenleveldependentfmricapturesthreatlearninginsocialinteractions
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Model-based representational similarity analysis of blood-oxygen-level-dependent fMRI captures threat learning in social interactions

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