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Functional organization of social perception networks in the human brain

Humans rapidly extract diverse and complex information from ongoing social interactions, but the perceptual and neural organization of the different aspects of social perception remains unresolved. We showed short movie clips with rich social content to 97 healthy participants while their haemodynam...

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Autores principales: Santavirta, Severi, Karjalainen, Tomi, Nazari-Farsani, Sanaz, Hudson, Matthew, Putkinen, Vesa, Seppälä, Kerttu, Sun, Lihua, Glerean, Enrico, Hirvonen, Jussi, Karlsson, Henry K., Nummenmaa, Lauri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112277/
https://www.ncbi.nlm.nih.gov/pubmed/36958619
http://dx.doi.org/10.1016/j.neuroimage.2023.120025
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author Santavirta, Severi
Karjalainen, Tomi
Nazari-Farsani, Sanaz
Hudson, Matthew
Putkinen, Vesa
Seppälä, Kerttu
Sun, Lihua
Glerean, Enrico
Hirvonen, Jussi
Karlsson, Henry K.
Nummenmaa, Lauri
author_facet Santavirta, Severi
Karjalainen, Tomi
Nazari-Farsani, Sanaz
Hudson, Matthew
Putkinen, Vesa
Seppälä, Kerttu
Sun, Lihua
Glerean, Enrico
Hirvonen, Jussi
Karlsson, Henry K.
Nummenmaa, Lauri
author_sort Santavirta, Severi
collection PubMed
description Humans rapidly extract diverse and complex information from ongoing social interactions, but the perceptual and neural organization of the different aspects of social perception remains unresolved. We showed short movie clips with rich social content to 97 healthy participants while their haemodynamic brain activity was measured with fMRI. The clips were annotated moment-to-moment for a large set of social features and 45 of the features were evaluated reliably between annotators. Cluster analysis of the social features revealed that 13 dimensions were sufficient for describing the social perceptual space. Three different analysis methods were used to map the social perceptual processes in the human brain. Regression analysis mapped regional neural response profiles for different social dimensions. Multivariate pattern analysis then established the spatial specificity of the responses and intersubject correlation analysis connected social perceptual processing with neural synchronization. The results revealed a gradient in the processing of social information in the brain. Posterior temporal and occipital regions were broadly tuned to most social dimensions and the classifier revealed that these responses showed spatial specificity for social dimensions; in contrast Heschl gyri and parietal areas were also broadly associated with different social signals, yet the spatial patterns of responses did not differentiate social dimensions. Frontal and subcortical regions responded only to a limited number of social dimensions and the spatial response patterns did not differentiate social dimension. Altogether these results highlight the distributed nature of social processing in the brain.
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spelling pubmed-101122772023-05-15 Functional organization of social perception networks in the human brain Santavirta, Severi Karjalainen, Tomi Nazari-Farsani, Sanaz Hudson, Matthew Putkinen, Vesa Seppälä, Kerttu Sun, Lihua Glerean, Enrico Hirvonen, Jussi Karlsson, Henry K. Nummenmaa, Lauri Neuroimage Article Humans rapidly extract diverse and complex information from ongoing social interactions, but the perceptual and neural organization of the different aspects of social perception remains unresolved. We showed short movie clips with rich social content to 97 healthy participants while their haemodynamic brain activity was measured with fMRI. The clips were annotated moment-to-moment for a large set of social features and 45 of the features were evaluated reliably between annotators. Cluster analysis of the social features revealed that 13 dimensions were sufficient for describing the social perceptual space. Three different analysis methods were used to map the social perceptual processes in the human brain. Regression analysis mapped regional neural response profiles for different social dimensions. Multivariate pattern analysis then established the spatial specificity of the responses and intersubject correlation analysis connected social perceptual processing with neural synchronization. The results revealed a gradient in the processing of social information in the brain. Posterior temporal and occipital regions were broadly tuned to most social dimensions and the classifier revealed that these responses showed spatial specificity for social dimensions; in contrast Heschl gyri and parietal areas were also broadly associated with different social signals, yet the spatial patterns of responses did not differentiate social dimensions. Frontal and subcortical regions responded only to a limited number of social dimensions and the spatial response patterns did not differentiate social dimension. Altogether these results highlight the distributed nature of social processing in the brain. Academic Press 2023-05-15 /pmc/articles/PMC10112277/ /pubmed/36958619 http://dx.doi.org/10.1016/j.neuroimage.2023.120025 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Santavirta, Severi
Karjalainen, Tomi
Nazari-Farsani, Sanaz
Hudson, Matthew
Putkinen, Vesa
Seppälä, Kerttu
Sun, Lihua
Glerean, Enrico
Hirvonen, Jussi
Karlsson, Henry K.
Nummenmaa, Lauri
Functional organization of social perception networks in the human brain
title Functional organization of social perception networks in the human brain
title_full Functional organization of social perception networks in the human brain
title_fullStr Functional organization of social perception networks in the human brain
title_full_unstemmed Functional organization of social perception networks in the human brain
title_short Functional organization of social perception networks in the human brain
title_sort functional organization of social perception networks in the human brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112277/
https://www.ncbi.nlm.nih.gov/pubmed/36958619
http://dx.doi.org/10.1016/j.neuroimage.2023.120025
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