Neural coding of prior expectations in hierarchical intention inference

Abstract The ability to infer other people’s intentions is crucial for successful human social interactions. Such inference relies on an adaptive interplay of sensory evidence and prior expectations. Crucially, this interplay would also depend on the type of intention inferred, i.e., on how abstract...

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Autores principales:	Valerian Chambon, Philippe Domenech, Pierre O. Jacquet, Guillaume Barbalat, Sophie Bouton, Elisabeth Pacherie, Etienne Koechlin, Chlöé Farrer
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0486dc5304b044e3b115003900862d42
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spelling	oai:doaj.org-article:0486dc5304b044e3b115003900862d422021-12-02T12:32:14ZNeural coding of prior expectations in hierarchical intention inference10.1038/s41598-017-01414-y2045-2322https://doaj.org/article/0486dc5304b044e3b115003900862d422017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01414-yhttps://doaj.org/toc/2045-2322Abstract The ability to infer other people’s intentions is crucial for successful human social interactions. Such inference relies on an adaptive interplay of sensory evidence and prior expectations. Crucially, this interplay would also depend on the type of intention inferred, i.e., on how abstract the intention is. However, what neural mechanisms adjust the interplay of prior and sensory evidence to the abstractness of the intention remains conjecture. We addressed this question in two separate fMRI experiments, which exploited action scenes depicting different types of intentions (Superordinate vs. Basic; Social vs. Non-social), and manipulated both prior and sensory evidence. We found that participants increasingly relied on priors as sensory evidence became scarcer. Activity in the medial prefrontal cortex (mPFC) reflected this interplay between the two sources of information. Moreover, the more abstract the intention to infer (Superordinate > Basic, Social > Non-Social), the greater the modulation of backward connectivity between the mPFC and the temporo-parietal junction (TPJ), resulting in an increased influence of priors over the intention inference. These results suggest a critical role for the fronto-parietal network in adjusting the relative weight of prior and sensory evidence during hierarchical intention inference.Valerian ChambonPhilippe DomenechPierre O. JacquetGuillaume BarbalatSophie BoutonElisabeth PacherieEtienne KoechlinChlöé FarrerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Valerian Chambon Philippe Domenech Pierre O. Jacquet Guillaume Barbalat Sophie Bouton Elisabeth Pacherie Etienne Koechlin Chlöé Farrer Neural coding of prior expectations in hierarchical intention inference
description	Abstract The ability to infer other people’s intentions is crucial for successful human social interactions. Such inference relies on an adaptive interplay of sensory evidence and prior expectations. Crucially, this interplay would also depend on the type of intention inferred, i.e., on how abstract the intention is. However, what neural mechanisms adjust the interplay of prior and sensory evidence to the abstractness of the intention remains conjecture. We addressed this question in two separate fMRI experiments, which exploited action scenes depicting different types of intentions (Superordinate vs. Basic; Social vs. Non-social), and manipulated both prior and sensory evidence. We found that participants increasingly relied on priors as sensory evidence became scarcer. Activity in the medial prefrontal cortex (mPFC) reflected this interplay between the two sources of information. Moreover, the more abstract the intention to infer (Superordinate > Basic, Social > Non-Social), the greater the modulation of backward connectivity between the mPFC and the temporo-parietal junction (TPJ), resulting in an increased influence of priors over the intention inference. These results suggest a critical role for the fronto-parietal network in adjusting the relative weight of prior and sensory evidence during hierarchical intention inference.
format	article
author	Valerian Chambon Philippe Domenech Pierre O. Jacquet Guillaume Barbalat Sophie Bouton Elisabeth Pacherie Etienne Koechlin Chlöé Farrer
author_facet	Valerian Chambon Philippe Domenech Pierre O. Jacquet Guillaume Barbalat Sophie Bouton Elisabeth Pacherie Etienne Koechlin Chlöé Farrer
author_sort	Valerian Chambon
title	Neural coding of prior expectations in hierarchical intention inference
title_short	Neural coding of prior expectations in hierarchical intention inference
title_full	Neural coding of prior expectations in hierarchical intention inference
title_fullStr	Neural coding of prior expectations in hierarchical intention inference
title_full_unstemmed	Neural coding of prior expectations in hierarchical intention inference
title_sort	neural coding of prior expectations in hierarchical intention inference
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/0486dc5304b044e3b115003900862d42
work_keys_str_mv	AT valerianchambon neuralcodingofpriorexpectationsinhierarchicalintentioninference AT philippedomenech neuralcodingofpriorexpectationsinhierarchicalintentioninference AT pierreojacquet neuralcodingofpriorexpectationsinhierarchicalintentioninference AT guillaumebarbalat neuralcodingofpriorexpectationsinhierarchicalintentioninference AT sophiebouton neuralcodingofpriorexpectationsinhierarchicalintentioninference AT elisabethpacherie neuralcodingofpriorexpectationsinhierarchicalintentioninference AT etiennekoechlin neuralcodingofpriorexpectationsinhierarchicalintentioninference AT chloefarrer neuralcodingofpriorexpectationsinhierarchicalintentioninference
_version_	1718394137523257344

Neural coding of prior expectations in hierarchical intention inference

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