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Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population
We all vary in our mental health, even among people not meeting diagnostic criteria for mental illness. Understanding this individual variability may reveal factors driving the risk for mental illness, as well as factors driving subclinical problems that still adversely affect quality of life. To be...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326740/ https://www.ncbi.nlm.nih.gov/pubmed/30793076 http://dx.doi.org/10.1162/netn_a_00056 |
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author | Schultz, Douglas H. Ito, Takuya Solomyak, Levi I. Chen, Richard H. Mill, Ravi D. Anticevic, Alan Cole, Michael W. |
author_facet | Schultz, Douglas H. Ito, Takuya Solomyak, Levi I. Chen, Richard H. Mill, Ravi D. Anticevic, Alan Cole, Michael W. |
author_sort | Schultz, Douglas H. |
collection | PubMed |
description | We all vary in our mental health, even among people not meeting diagnostic criteria for mental illness. Understanding this individual variability may reveal factors driving the risk for mental illness, as well as factors driving subclinical problems that still adversely affect quality of life. To better understand the large-scale brain network mechanisms underlying this variability, we examined the relationship between mental health symptoms and resting-state functional connectivity patterns in cognitive control systems. One such system is the fronto-parietal cognitive control network (FPN). Changes in FPN connectivity may impact mental health by disrupting the ability to regulate symptoms in a goal-directed manner. Here we test the hypothesis that FPN dysconnectivity relates to mental health symptoms even among individuals who do not meet formal diagnostic criteria but may exhibit meaningful symptom variation. We found that depression symptoms severity negatively correlated with between-network global connectivity (BGC) of the FPN. This suggests that decreased connectivity between the FPN and the rest of the brain is related to increased depression symptoms in the general population. These findings complement previous clinical studies to support the hypothesis that global FPN connectivity contributes to the regulation of mental health symptoms across both health and disease. |
format | Online Article Text |
id | pubmed-6326740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63267402019-02-21 Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population Schultz, Douglas H. Ito, Takuya Solomyak, Levi I. Chen, Richard H. Mill, Ravi D. Anticevic, Alan Cole, Michael W. Netw Neurosci Research Articles We all vary in our mental health, even among people not meeting diagnostic criteria for mental illness. Understanding this individual variability may reveal factors driving the risk for mental illness, as well as factors driving subclinical problems that still adversely affect quality of life. To better understand the large-scale brain network mechanisms underlying this variability, we examined the relationship between mental health symptoms and resting-state functional connectivity patterns in cognitive control systems. One such system is the fronto-parietal cognitive control network (FPN). Changes in FPN connectivity may impact mental health by disrupting the ability to regulate symptoms in a goal-directed manner. Here we test the hypothesis that FPN dysconnectivity relates to mental health symptoms even among individuals who do not meet formal diagnostic criteria but may exhibit meaningful symptom variation. We found that depression symptoms severity negatively correlated with between-network global connectivity (BGC) of the FPN. This suggests that decreased connectivity between the FPN and the rest of the brain is related to increased depression symptoms in the general population. These findings complement previous clinical studies to support the hypothesis that global FPN connectivity contributes to the regulation of mental health symptoms across both health and disease. MIT Press 2018-10-01 /pmc/articles/PMC6326740/ /pubmed/30793076 http://dx.doi.org/10.1162/netn_a_00056 Text en © 2018 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode. |
spellingShingle | Research Articles Schultz, Douglas H. Ito, Takuya Solomyak, Levi I. Chen, Richard H. Mill, Ravi D. Anticevic, Alan Cole, Michael W. Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title | Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title_full | Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title_fullStr | Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title_full_unstemmed | Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title_short | Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
title_sort | global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326740/ https://www.ncbi.nlm.nih.gov/pubmed/30793076 http://dx.doi.org/10.1162/netn_a_00056 |
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