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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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 |
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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 |
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