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The neural correlates of risk propensity in males and females using resting-state fMRI
Men are more risk prone than women, but the underlying basis remains unclear. To investigate this question, we developed a trait-like measure of risk propensity which we correlated with resting-state functional connectivity to identify sex differences. Specifically, we used short- and long-range fun...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904110/ https://www.ncbi.nlm.nih.gov/pubmed/24478649 http://dx.doi.org/10.3389/fnbeh.2014.00002 |
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author | Zhou, Yuan Li, Shu Dunn, John Li, Huandong Qin, Wen Zhu, Maohu Rao, Li-Lin Song, Ming Yu, Chunshui Jiang, Tianzi |
author_facet | Zhou, Yuan Li, Shu Dunn, John Li, Huandong Qin, Wen Zhu, Maohu Rao, Li-Lin Song, Ming Yu, Chunshui Jiang, Tianzi |
author_sort | Zhou, Yuan |
collection | PubMed |
description | Men are more risk prone than women, but the underlying basis remains unclear. To investigate this question, we developed a trait-like measure of risk propensity which we correlated with resting-state functional connectivity to identify sex differences. Specifically, we used short- and long-range functional connectivity densities to identify associated brain regions and examined their functional connectivities in resting-state functional magnetic resonance imaging (fMRI) data collected from a large sample of healthy young volunteers. We found that men had a higher level of general risk propensity (GRP) than women. At the neural level, although they shared a common neural correlate of GRP in a network centered at the right inferior frontal gyrus, men and women differed in a network centered at the right secondary somatosensory cortex, which included the bilateral dorsal anterior/middle insular cortices and the dorsal anterior cingulate cortex. In addition, men and women differed in a local network centered at the left inferior orbitofrontal cortex. Most of the regions identified by this resting-state fMRI study have been previously implicated in risk processing when people make risky decisions. This study provides a new perspective on the brain-behavioral relationships in risky decision making and contributes to our understanding of sex differences in risk propensity. |
format | Online Article Text |
id | pubmed-3904110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-39041102014-01-29 The neural correlates of risk propensity in males and females using resting-state fMRI Zhou, Yuan Li, Shu Dunn, John Li, Huandong Qin, Wen Zhu, Maohu Rao, Li-Lin Song, Ming Yu, Chunshui Jiang, Tianzi Front Behav Neurosci Neuroscience Men are more risk prone than women, but the underlying basis remains unclear. To investigate this question, we developed a trait-like measure of risk propensity which we correlated with resting-state functional connectivity to identify sex differences. Specifically, we used short- and long-range functional connectivity densities to identify associated brain regions and examined their functional connectivities in resting-state functional magnetic resonance imaging (fMRI) data collected from a large sample of healthy young volunteers. We found that men had a higher level of general risk propensity (GRP) than women. At the neural level, although they shared a common neural correlate of GRP in a network centered at the right inferior frontal gyrus, men and women differed in a network centered at the right secondary somatosensory cortex, which included the bilateral dorsal anterior/middle insular cortices and the dorsal anterior cingulate cortex. In addition, men and women differed in a local network centered at the left inferior orbitofrontal cortex. Most of the regions identified by this resting-state fMRI study have been previously implicated in risk processing when people make risky decisions. This study provides a new perspective on the brain-behavioral relationships in risky decision making and contributes to our understanding of sex differences in risk propensity. Frontiers Media S.A. 2014-01-28 /pmc/articles/PMC3904110/ /pubmed/24478649 http://dx.doi.org/10.3389/fnbeh.2014.00002 Text en Copyright © 2014 Zhou, Li, Dunn, Li, Qin, Zhu, Rao, Song, Yu and Jiang. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Zhou, Yuan Li, Shu Dunn, John Li, Huandong Qin, Wen Zhu, Maohu Rao, Li-Lin Song, Ming Yu, Chunshui Jiang, Tianzi The neural correlates of risk propensity in males and females using resting-state fMRI |
title | The neural correlates of risk propensity in males and females using resting-state fMRI |
title_full | The neural correlates of risk propensity in males and females using resting-state fMRI |
title_fullStr | The neural correlates of risk propensity in males and females using resting-state fMRI |
title_full_unstemmed | The neural correlates of risk propensity in males and females using resting-state fMRI |
title_short | The neural correlates of risk propensity in males and females using resting-state fMRI |
title_sort | neural correlates of risk propensity in males and females using resting-state fmri |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904110/ https://www.ncbi.nlm.nih.gov/pubmed/24478649 http://dx.doi.org/10.3389/fnbeh.2014.00002 |
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