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Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup
Depressive symptoms following a stressful life event, such as a relationship breakup, are common, and constitute a potent risk factor for the onset of a major depressive episode. Resting-state neuroimaging studies have increasingly identified abnormal whole-brain communication in patients with depre...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284067/ https://www.ncbi.nlm.nih.gov/pubmed/32516738 http://dx.doi.org/10.1016/j.nicl.2020.102299 |
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author | Alonso Martínez, Sonsoles Marsman, Jan-Bernard C. Kringelbach, Morten L. Deco, Gustavo ter Horst, Gert J. |
author_facet | Alonso Martínez, Sonsoles Marsman, Jan-Bernard C. Kringelbach, Morten L. Deco, Gustavo ter Horst, Gert J. |
author_sort | Alonso Martínez, Sonsoles |
collection | PubMed |
description | Depressive symptoms following a stressful life event, such as a relationship breakup, are common, and constitute a potent risk factor for the onset of a major depressive episode. Resting-state neuroimaging studies have increasingly identified abnormal whole-brain communication in patients with depression, but it is currently unclear whether depressive symptoms in individuals without a clinical diagnosis have reliable neural underpinnings. We investigated to what extent the severity of depressive symptoms in a non-clinical sample was associated with imbalances in the complex dynamics of the brain during rest. To this end, a novel intrinsic ignition approach was applied to resting-state neuroimaging data from sixty-nine participants with varying degrees of depressive symptoms following a relationship breakup. Ignition-based measures of integration, hierarchy, and metastability were calculated for each participant, revealing a negative correlation between these measures and depressive ratings. We found that the severity of depressive symptoms was associated with deficits in the brain’s capacity to globally integrate and process information over time. Furthermore, we found that increased depressive symptoms were associated with reduced spatial diversity (i.e., hierarchy) and reduced temporal variability (i.e., metastability) in the functional organization of the brain. These findings suggest the merit of investigating constrained dynamical complexity as it is sensitive to the level of depressive symptoms even in a non-clinical sample. |
format | Online Article Text |
id | pubmed-7284067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72840672020-06-15 Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup Alonso Martínez, Sonsoles Marsman, Jan-Bernard C. Kringelbach, Morten L. Deco, Gustavo ter Horst, Gert J. Neuroimage Clin Regular Article Depressive symptoms following a stressful life event, such as a relationship breakup, are common, and constitute a potent risk factor for the onset of a major depressive episode. Resting-state neuroimaging studies have increasingly identified abnormal whole-brain communication in patients with depression, but it is currently unclear whether depressive symptoms in individuals without a clinical diagnosis have reliable neural underpinnings. We investigated to what extent the severity of depressive symptoms in a non-clinical sample was associated with imbalances in the complex dynamics of the brain during rest. To this end, a novel intrinsic ignition approach was applied to resting-state neuroimaging data from sixty-nine participants with varying degrees of depressive symptoms following a relationship breakup. Ignition-based measures of integration, hierarchy, and metastability were calculated for each participant, revealing a negative correlation between these measures and depressive ratings. We found that the severity of depressive symptoms was associated with deficits in the brain’s capacity to globally integrate and process information over time. Furthermore, we found that increased depressive symptoms were associated with reduced spatial diversity (i.e., hierarchy) and reduced temporal variability (i.e., metastability) in the functional organization of the brain. These findings suggest the merit of investigating constrained dynamical complexity as it is sensitive to the level of depressive symptoms even in a non-clinical sample. Elsevier 2020-05-26 /pmc/articles/PMC7284067/ /pubmed/32516738 http://dx.doi.org/10.1016/j.nicl.2020.102299 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Alonso Martínez, Sonsoles Marsman, Jan-Bernard C. Kringelbach, Morten L. Deco, Gustavo ter Horst, Gert J. Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title | Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title_full | Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title_fullStr | Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title_full_unstemmed | Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title_short | Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
title_sort | reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284067/ https://www.ncbi.nlm.nih.gov/pubmed/32516738 http://dx.doi.org/10.1016/j.nicl.2020.102299 |
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