Cargando…

Default and control network connectivity dynamics track the stream of affect at multiple timescales

In everyday life, the stream of affect results from the interaction between past experiences, expectations and the unfolding of events. How the brain represents the relationship between time and affect has been hardly explored, as it requires modeling the complexity of everyday life in the laborator...

Descripción completa

Detalles Bibliográficos
Autores principales: Lettieri, Giada, Handjaras, Giacomo, Setti, Francesca, Cappello, Elisa Morgana, Bruno, Valentina, Diano, Matteo, Leo, Andrea, Ricciardi, Emiliano, Pietrini, Pietro, Cecchetti, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071410/
https://www.ncbi.nlm.nih.gov/pubmed/34673987
http://dx.doi.org/10.1093/scan/nsab112
_version_ 1784700839458242560
author Lettieri, Giada
Handjaras, Giacomo
Setti, Francesca
Cappello, Elisa Morgana
Bruno, Valentina
Diano, Matteo
Leo, Andrea
Ricciardi, Emiliano
Pietrini, Pietro
Cecchetti, Luca
author_facet Lettieri, Giada
Handjaras, Giacomo
Setti, Francesca
Cappello, Elisa Morgana
Bruno, Valentina
Diano, Matteo
Leo, Andrea
Ricciardi, Emiliano
Pietrini, Pietro
Cecchetti, Luca
author_sort Lettieri, Giada
collection PubMed
description In everyday life, the stream of affect results from the interaction between past experiences, expectations and the unfolding of events. How the brain represents the relationship between time and affect has been hardly explored, as it requires modeling the complexity of everyday life in the laboratory setting. Movies condense into hours a multitude of emotional responses, synchronized across subjects and characterized by temporal dynamics alike real-world experiences. Here, we use time-varying intersubject brain synchronization and real-time behavioral reports to test whether connectivity dynamics track changes in affect during movie watching. The results show that polarity and intensity of experiences relate to the connectivity of the default mode and control networks and converge in the right temporoparietal cortex. We validate these results in two experiments including four independent samples, two movies and alternative analysis workflows. Finally, we reveal chronotopic connectivity maps within the temporoparietal and prefrontal cortex, where adjacent areas preferentially encode affect at specific timescales.
format Online
Article
Text
id pubmed-9071410
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-90714102022-05-06 Default and control network connectivity dynamics track the stream of affect at multiple timescales Lettieri, Giada Handjaras, Giacomo Setti, Francesca Cappello, Elisa Morgana Bruno, Valentina Diano, Matteo Leo, Andrea Ricciardi, Emiliano Pietrini, Pietro Cecchetti, Luca Soc Cogn Affect Neurosci Original Manuscript In everyday life, the stream of affect results from the interaction between past experiences, expectations and the unfolding of events. How the brain represents the relationship between time and affect has been hardly explored, as it requires modeling the complexity of everyday life in the laboratory setting. Movies condense into hours a multitude of emotional responses, synchronized across subjects and characterized by temporal dynamics alike real-world experiences. Here, we use time-varying intersubject brain synchronization and real-time behavioral reports to test whether connectivity dynamics track changes in affect during movie watching. The results show that polarity and intensity of experiences relate to the connectivity of the default mode and control networks and converge in the right temporoparietal cortex. We validate these results in two experiments including four independent samples, two movies and alternative analysis workflows. Finally, we reveal chronotopic connectivity maps within the temporoparietal and prefrontal cortex, where adjacent areas preferentially encode affect at specific timescales. Oxford University Press 2021-10-22 /pmc/articles/PMC9071410/ /pubmed/34673987 http://dx.doi.org/10.1093/scan/nsab112 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Manuscript
Lettieri, Giada
Handjaras, Giacomo
Setti, Francesca
Cappello, Elisa Morgana
Bruno, Valentina
Diano, Matteo
Leo, Andrea
Ricciardi, Emiliano
Pietrini, Pietro
Cecchetti, Luca
Default and control network connectivity dynamics track the stream of affect at multiple timescales
title Default and control network connectivity dynamics track the stream of affect at multiple timescales
title_full Default and control network connectivity dynamics track the stream of affect at multiple timescales
title_fullStr Default and control network connectivity dynamics track the stream of affect at multiple timescales
title_full_unstemmed Default and control network connectivity dynamics track the stream of affect at multiple timescales
title_short Default and control network connectivity dynamics track the stream of affect at multiple timescales
title_sort default and control network connectivity dynamics track the stream of affect at multiple timescales
topic Original Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071410/
https://www.ncbi.nlm.nih.gov/pubmed/34673987
http://dx.doi.org/10.1093/scan/nsab112
work_keys_str_mv AT lettierigiada defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT handjarasgiacomo defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT settifrancesca defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT cappelloelisamorgana defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT brunovalentina defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT dianomatteo defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT leoandrea defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT ricciardiemiliano defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT pietrinipietro defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales
AT cecchettiluca defaultandcontrolnetworkconnectivitydynamicstrackthestreamofaffectatmultipletimescales