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The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research
Human functional brain imaging research over the last 2 decades has shown that data from resting-state brain activity can help predict various psychological and pathological variables and brain function during tasks. However, most variables have been attributed to the individual brain. Recently, sev...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386479/ https://www.ncbi.nlm.nih.gov/pubmed/35991809 http://dx.doi.org/10.1177/26331055221119443 |
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author | Kajimura, Shogo Ito, Ayahito |
author_facet | Kajimura, Shogo Ito, Ayahito |
author_sort | Kajimura, Shogo |
collection | PubMed |
description | Human functional brain imaging research over the last 2 decades has shown that data from resting-state brain activity can help predict various psychological and pathological variables and brain function during tasks. However, most variables have been attributed to the individual brain. Recently, several studies have aimed to understand interpersonal relationships based on inter-individual similarity or dissimilarity of functional connectome. In this commentary, we introduce the studies that have opened up a new era of interpersonal research using human brain imaging. |
format | Online Article Text |
id | pubmed-9386479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93864792022-08-19 The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research Kajimura, Shogo Ito, Ayahito Neurosci Insights Commentary Human functional brain imaging research over the last 2 decades has shown that data from resting-state brain activity can help predict various psychological and pathological variables and brain function during tasks. However, most variables have been attributed to the individual brain. Recently, several studies have aimed to understand interpersonal relationships based on inter-individual similarity or dissimilarity of functional connectome. In this commentary, we introduce the studies that have opened up a new era of interpersonal research using human brain imaging. SAGE Publications 2022-08-11 /pmc/articles/PMC9386479/ /pubmed/35991809 http://dx.doi.org/10.1177/26331055221119443 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Commentary Kajimura, Shogo Ito, Ayahito The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title | The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title_full | The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title_fullStr | The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title_full_unstemmed | The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title_short | The Brain Understands Social Relationships: The Emerging Field of Functional-Connectome-Based Interpersonal Research |
title_sort | brain understands social relationships: the emerging field of functional-connectome-based interpersonal research |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386479/ https://www.ncbi.nlm.nih.gov/pubmed/35991809 http://dx.doi.org/10.1177/26331055221119443 |
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