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Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder
Bipolar disorder (BD) is a severe manic-depressive illness. Patients with BD have been shown to have gray matter (GM) deficits in prefrontal, frontal, parietal, and temporal regions; however, the relationship between structural effects and clinical profiles has proved elusive when considered on a re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229320/ https://www.ncbi.nlm.nih.gov/pubmed/31451406 http://dx.doi.org/10.1016/j.nicl.2019.101989 |
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author | Jiang, Wenhao Andreassen, Ole A. Agartz, Ingrid Lagerberg, Trine V. Westlye, Lars T. Calhoun, Vince D. Turner, Jessica A. |
author_facet | Jiang, Wenhao Andreassen, Ole A. Agartz, Ingrid Lagerberg, Trine V. Westlye, Lars T. Calhoun, Vince D. Turner, Jessica A. |
author_sort | Jiang, Wenhao |
collection | PubMed |
description | Bipolar disorder (BD) is a severe manic-depressive illness. Patients with BD have been shown to have gray matter (GM) deficits in prefrontal, frontal, parietal, and temporal regions; however, the relationship between structural effects and clinical profiles has proved elusive when considered on a region by region or voxel by voxel basis. In this study, we applied parallel independent component analysis (pICA) to structural neuroimaging measures and the positive and negative syndrome scale (PANSS) in 110 patients (mean age 34.9 ± 11.65) with bipolar disorder, to examine networks of brain regions that relate to symptom profiles. The pICA revealed two distinct symptom profiles and associated GM concentration alteration circuits. The first PANSS pICA profile mainly involved anxiety, depression and guilty feelings, reflecting mood symptoms. Reduced GM concentration in right temporal regions predicted worse mood symptoms in this profile. The second PANSS pICA profile generally covered blunted affect, emotional withdrawal, passive/apathetic social withdrawal, depression and active social avoidance, exhibiting a withdrawal or apathy dominating component. Lower GM concentration in bilateral parietal and frontal regions showed worse symptom severity in this profile. In summary, a pICA decomposition suggested BD patients showed distinct mood and apathy profiles differing from the original PANSS subscales, relating to distinct brain structural networks. |
format | Online Article Text |
id | pubmed-7229320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-72293202020-05-20 Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder Jiang, Wenhao Andreassen, Ole A. Agartz, Ingrid Lagerberg, Trine V. Westlye, Lars T. Calhoun, Vince D. Turner, Jessica A. Neuroimage Clin Articles from the Special Issue on on "Imaging-based biomarkers in psychiatry – diagnosis, prognosis, outcomes" edited by Claire Wilcox and Vince Calhoun Bipolar disorder (BD) is a severe manic-depressive illness. Patients with BD have been shown to have gray matter (GM) deficits in prefrontal, frontal, parietal, and temporal regions; however, the relationship between structural effects and clinical profiles has proved elusive when considered on a region by region or voxel by voxel basis. In this study, we applied parallel independent component analysis (pICA) to structural neuroimaging measures and the positive and negative syndrome scale (PANSS) in 110 patients (mean age 34.9 ± 11.65) with bipolar disorder, to examine networks of brain regions that relate to symptom profiles. The pICA revealed two distinct symptom profiles and associated GM concentration alteration circuits. The first PANSS pICA profile mainly involved anxiety, depression and guilty feelings, reflecting mood symptoms. Reduced GM concentration in right temporal regions predicted worse mood symptoms in this profile. The second PANSS pICA profile generally covered blunted affect, emotional withdrawal, passive/apathetic social withdrawal, depression and active social avoidance, exhibiting a withdrawal or apathy dominating component. Lower GM concentration in bilateral parietal and frontal regions showed worse symptom severity in this profile. In summary, a pICA decomposition suggested BD patients showed distinct mood and apathy profiles differing from the original PANSS subscales, relating to distinct brain structural networks. Elsevier 2019-08-19 /pmc/articles/PMC7229320/ /pubmed/31451406 http://dx.doi.org/10.1016/j.nicl.2019.101989 Text en © 2019 The Authors. Published by Elsevier Inc. 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 | Articles from the Special Issue on on "Imaging-based biomarkers in psychiatry – diagnosis, prognosis, outcomes" edited by Claire Wilcox and Vince Calhoun Jiang, Wenhao Andreassen, Ole A. Agartz, Ingrid Lagerberg, Trine V. Westlye, Lars T. Calhoun, Vince D. Turner, Jessica A. Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title_full | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title_fullStr | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title_full_unstemmed | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title_short | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
title_sort | distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
topic | Articles from the Special Issue on on "Imaging-based biomarkers in psychiatry – diagnosis, prognosis, outcomes" edited by Claire Wilcox and Vince Calhoun |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229320/ https://www.ncbi.nlm.nih.gov/pubmed/31451406 http://dx.doi.org/10.1016/j.nicl.2019.101989 |
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