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Neural synchronization predicts marital satisfaction
Marital attachment plays an important role in maintaining intimate personal relationships and sustaining psychological well-being. Mate-selection theories suggest that people are more likely to marry someone with a similar personality and social status, yet evidence for the association between perso...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407484/ https://www.ncbi.nlm.nih.gov/pubmed/35981139 http://dx.doi.org/10.1073/pnas.2202515119 |
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author | Li, Lei Huang, Xinyue Xiao, Jinming Zheng, Qingyu Shan, Xiaolong He, Changchun Liao, Wei Chen, Huafu Menon, Vinod Duan, Xujun |
author_facet | Li, Lei Huang, Xinyue Xiao, Jinming Zheng, Qingyu Shan, Xiaolong He, Changchun Liao, Wei Chen, Huafu Menon, Vinod Duan, Xujun |
author_sort | Li, Lei |
collection | PubMed |
description | Marital attachment plays an important role in maintaining intimate personal relationships and sustaining psychological well-being. Mate-selection theories suggest that people are more likely to marry someone with a similar personality and social status, yet evidence for the association between personality-based couple similarity measures and marital satisfaction has been inconsistent. A more direct and useful approach for understanding fundamental processes underlying marital satisfaction is to probe similarity of dynamic brain responses to maritally and socially relevant communicative cues, which may better reflect how married couples process information in real time and make sense of their mates and themselves. Here, we investigate shared neural representations based on intersubject synchronization (ISS) of brain responses during free viewing of marital life-related, and nonmarital, object-related movies. Compared to randomly selected pairs of couples, married couples showed significantly higher levels of ISS during viewing of marital movies and ISS between married couples predicted higher levels of marital satisfaction. ISS in the default mode network emerged as a strong predictor of marital satisfaction and canonical correlation analysis revealed a specific relation between ISS in this network and shared communication and egalitarian components of martial satisfaction. Our findings demonstrate that brain similarities that reflect real-time mental responses to subjective perceptions, thoughts, and feelings about interpersonal and social interactions are strong predictors of marital satisfaction, reflecting shared values and beliefs. Our study advances foundational knowledge of the neurobiological basis of human pair bonding. |
format | Online Article Text |
id | pubmed-9407484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-94074842023-02-18 Neural synchronization predicts marital satisfaction Li, Lei Huang, Xinyue Xiao, Jinming Zheng, Qingyu Shan, Xiaolong He, Changchun Liao, Wei Chen, Huafu Menon, Vinod Duan, Xujun Proc Natl Acad Sci U S A Biological Sciences Marital attachment plays an important role in maintaining intimate personal relationships and sustaining psychological well-being. Mate-selection theories suggest that people are more likely to marry someone with a similar personality and social status, yet evidence for the association between personality-based couple similarity measures and marital satisfaction has been inconsistent. A more direct and useful approach for understanding fundamental processes underlying marital satisfaction is to probe similarity of dynamic brain responses to maritally and socially relevant communicative cues, which may better reflect how married couples process information in real time and make sense of their mates and themselves. Here, we investigate shared neural representations based on intersubject synchronization (ISS) of brain responses during free viewing of marital life-related, and nonmarital, object-related movies. Compared to randomly selected pairs of couples, married couples showed significantly higher levels of ISS during viewing of marital movies and ISS between married couples predicted higher levels of marital satisfaction. ISS in the default mode network emerged as a strong predictor of marital satisfaction and canonical correlation analysis revealed a specific relation between ISS in this network and shared communication and egalitarian components of martial satisfaction. Our findings demonstrate that brain similarities that reflect real-time mental responses to subjective perceptions, thoughts, and feelings about interpersonal and social interactions are strong predictors of marital satisfaction, reflecting shared values and beliefs. Our study advances foundational knowledge of the neurobiological basis of human pair bonding. National Academy of Sciences 2022-08-18 2022-08-23 /pmc/articles/PMC9407484/ /pubmed/35981139 http://dx.doi.org/10.1073/pnas.2202515119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Li, Lei Huang, Xinyue Xiao, Jinming Zheng, Qingyu Shan, Xiaolong He, Changchun Liao, Wei Chen, Huafu Menon, Vinod Duan, Xujun Neural synchronization predicts marital satisfaction |
title | Neural synchronization predicts marital satisfaction |
title_full | Neural synchronization predicts marital satisfaction |
title_fullStr | Neural synchronization predicts marital satisfaction |
title_full_unstemmed | Neural synchronization predicts marital satisfaction |
title_short | Neural synchronization predicts marital satisfaction |
title_sort | neural synchronization predicts marital satisfaction |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407484/ https://www.ncbi.nlm.nih.gov/pubmed/35981139 http://dx.doi.org/10.1073/pnas.2202515119 |
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