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Emotional intelligence is associated with connectivity within and between resting state networks
Emotional intelligence (EI) is defined as an individual’s capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professiona...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737574/ https://www.ncbi.nlm.nih.gov/pubmed/28981827 http://dx.doi.org/10.1093/scan/nsx088 |
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author | Killgore, William D S Smith, Ryan Olson, Elizabeth A Weber, Mareen Rauch, Scott L Nickerson, Lisa D |
author_facet | Killgore, William D S Smith, Ryan Olson, Elizabeth A Weber, Mareen Rauch, Scott L Nickerson, Lisa D |
author_sort | Killgore, William D S |
collection | PubMed |
description | Emotional intelligence (EI) is defined as an individual’s capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professional and social realms, the neurocircuitry underlying this capacity remains poorly characterized, and no study to date has yet examined the relationship between EI and intrinsic neural network function. Here, in a sample of 54 healthy individuals (28 women, 26 men), we apply independent components analysis (ICA) with dual regression to functional magnetic resonance imaging (fMRI) data acquired while subjects were resting in the scanner to investigate brain circuits (intrinsic resting state networks) whose activity is associated with greater self-reported (i.e. Trait) and objectively measured (i.e. Ability) EI. We show that higher Ability EI, but not Trait EI, is associated with stronger negatively correlated spontaneous fMRI signals between the basal ganglia/limbic network (BGN) and posterior default mode network (DMN), and regions involved in emotional processing and regulation. Importantly, these findings suggest that the functional connectivity within and between intrinsic networks associated with mentation, affective regulation, emotion processing, and reward are strongly related to ability EI. |
format | Online Article Text |
id | pubmed-5737574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57375742018-01-04 Emotional intelligence is associated with connectivity within and between resting state networks Killgore, William D S Smith, Ryan Olson, Elizabeth A Weber, Mareen Rauch, Scott L Nickerson, Lisa D Soc Cogn Affect Neurosci Original Articles Emotional intelligence (EI) is defined as an individual’s capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professional and social realms, the neurocircuitry underlying this capacity remains poorly characterized, and no study to date has yet examined the relationship between EI and intrinsic neural network function. Here, in a sample of 54 healthy individuals (28 women, 26 men), we apply independent components analysis (ICA) with dual regression to functional magnetic resonance imaging (fMRI) data acquired while subjects were resting in the scanner to investigate brain circuits (intrinsic resting state networks) whose activity is associated with greater self-reported (i.e. Trait) and objectively measured (i.e. Ability) EI. We show that higher Ability EI, but not Trait EI, is associated with stronger negatively correlated spontaneous fMRI signals between the basal ganglia/limbic network (BGN) and posterior default mode network (DMN), and regions involved in emotional processing and regulation. Importantly, these findings suggest that the functional connectivity within and between intrinsic networks associated with mentation, affective regulation, emotion processing, and reward are strongly related to ability EI. Oxford University Press 2017-09-04 /pmc/articles/PMC5737574/ /pubmed/28981827 http://dx.doi.org/10.1093/scan/nsx088 Text en © The Author(s) (2017). Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Killgore, William D S Smith, Ryan Olson, Elizabeth A Weber, Mareen Rauch, Scott L Nickerson, Lisa D Emotional intelligence is associated with connectivity within and between resting state networks |
title | Emotional intelligence is associated with connectivity within and between resting state networks |
title_full | Emotional intelligence is associated with connectivity within and between resting state networks |
title_fullStr | Emotional intelligence is associated with connectivity within and between resting state networks |
title_full_unstemmed | Emotional intelligence is associated with connectivity within and between resting state networks |
title_short | Emotional intelligence is associated with connectivity within and between resting state networks |
title_sort | emotional intelligence is associated with connectivity within and between resting state networks |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737574/ https://www.ncbi.nlm.nih.gov/pubmed/28981827 http://dx.doi.org/10.1093/scan/nsx088 |
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