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Functional connectivity signatures of political ideology
Emerging research has begun investigating the neural underpinnings of the biological and psychological differences that drive political ideology, attitudes, and actions. Here, we explore the neurological roots of politics through conducting a large sample, whole-brain analysis of functional connecti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291242/ https://www.ncbi.nlm.nih.gov/pubmed/35860601 http://dx.doi.org/10.1093/pnasnexus/pgac066 |
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author | Yang, Seo Eun Wilson, James D Lu, Zhong-Lin Cranmer, Skyler |
author_facet | Yang, Seo Eun Wilson, James D Lu, Zhong-Lin Cranmer, Skyler |
author_sort | Yang, Seo Eun |
collection | PubMed |
description | Emerging research has begun investigating the neural underpinnings of the biological and psychological differences that drive political ideology, attitudes, and actions. Here, we explore the neurological roots of politics through conducting a large sample, whole-brain analysis of functional connectivity (FC) across common fMRI tasks. Using convolutional neural networks, we develop predictive models of ideology using FC from fMRI scans for nine standard task-based settings in a novel cohort of healthy adults (n = 174, age range: 18 to 40, mean = 21.43) from the Ohio State University Wellbeing Project. Our analyses suggest that liberals and conservatives have noticeable and discriminative differences in FC that can be identified with high accuracy using contemporary artificial intelligence methods and that such analyses complement contemporary models relying on socio-economic and survey-based responses. FC signatures from retrieval, empathy, and monetary reward tasks are identified as important and powerful predictors of conservatism, and activations of the amygdala, inferior frontal gyrus, and hippocampus are most strongly associated with political affiliation. Although the direction of causality is unclear, this study suggests that the biological and neurological roots of political behavior run much deeper than previously thought. |
format | Online Article Text |
id | pubmed-9291242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92912422022-07-18 Functional connectivity signatures of political ideology Yang, Seo Eun Wilson, James D Lu, Zhong-Lin Cranmer, Skyler PNAS Nexus Social and Political Sciences Emerging research has begun investigating the neural underpinnings of the biological and psychological differences that drive political ideology, attitudes, and actions. Here, we explore the neurological roots of politics through conducting a large sample, whole-brain analysis of functional connectivity (FC) across common fMRI tasks. Using convolutional neural networks, we develop predictive models of ideology using FC from fMRI scans for nine standard task-based settings in a novel cohort of healthy adults (n = 174, age range: 18 to 40, mean = 21.43) from the Ohio State University Wellbeing Project. Our analyses suggest that liberals and conservatives have noticeable and discriminative differences in FC that can be identified with high accuracy using contemporary artificial intelligence methods and that such analyses complement contemporary models relying on socio-economic and survey-based responses. FC signatures from retrieval, empathy, and monetary reward tasks are identified as important and powerful predictors of conservatism, and activations of the amygdala, inferior frontal gyrus, and hippocampus are most strongly associated with political affiliation. Although the direction of causality is unclear, this study suggests that the biological and neurological roots of political behavior run much deeper than previously thought. Oxford University Press 2022-05-23 /pmc/articles/PMC9291242/ /pubmed/35860601 http://dx.doi.org/10.1093/pnasnexus/pgac066 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Social and Political Sciences Yang, Seo Eun Wilson, James D Lu, Zhong-Lin Cranmer, Skyler Functional connectivity signatures of political ideology |
title | Functional connectivity signatures of political ideology |
title_full | Functional connectivity signatures of political ideology |
title_fullStr | Functional connectivity signatures of political ideology |
title_full_unstemmed | Functional connectivity signatures of political ideology |
title_short | Functional connectivity signatures of political ideology |
title_sort | functional connectivity signatures of political ideology |
topic | Social and Political Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291242/ https://www.ncbi.nlm.nih.gov/pubmed/35860601 http://dx.doi.org/10.1093/pnasnexus/pgac066 |
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