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Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder
Major depressive disorder (MDD) is a severe and devastating condition. However, the anatomical basis behind the affective symptoms, cognitive symptoms, and somatic-vegetative symptoms of MDD is still unknown. To explore the mechanism behind the depressive symptoms in MDD, we used diffusion tensor im...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538511/ https://www.ncbi.nlm.nih.gov/pubmed/33173514 http://dx.doi.org/10.3389/fpsyt.2020.565890 |
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author | Liu, Jing Xu, Xiaopei Zhu, Chunqing Luo, Liyuan Wang, Qi Xiao, Binbin Feng, Bin Hu, Lingtao Liu, Lanying |
author_facet | Liu, Jing Xu, Xiaopei Zhu, Chunqing Luo, Liyuan Wang, Qi Xiao, Binbin Feng, Bin Hu, Lingtao Liu, Lanying |
author_sort | Liu, Jing |
collection | PubMed |
description | Major depressive disorder (MDD) is a severe and devastating condition. However, the anatomical basis behind the affective symptoms, cognitive symptoms, and somatic-vegetative symptoms of MDD is still unknown. To explore the mechanism behind the depressive symptoms in MDD, we used diffusion tensor imaging (DTI)–based structural brain connectivity analysis to investigate the network difference between MDD patients and healthy controls (CN), and to explore the association between network metrics and patients’ clinical symptoms. Twenty-six patients with MDD and 25 CN were included. A baseline 24-item Hamilton rating scale for depression (HAMD-24) score ≥ 21 and seven factors (anxiety/somatization, weight loss, cognitive disturbance, diurnal variation, retardation, sleep disturbance, hopelessness) scores were assessed. When compared with healthy subjects, significantly higher characteristic path length and clustering coefficient as well as significantly lower network efficiencies were observed in patients with MDD. Furthermore, MDD patients demonstrated significantly lower nodal degree and nodal efficiency in multiple brain regions including superior frontal gyrus (SFG), supplementary motor area (SMA), calcarine fissure, middle temporal gyrus (MTG), and inferior temporal gyrus (ITG). We also found that the characteristic path length of MDD patients was associated with weight loss. Moreover, significantly lower global efficiency of MDD patients was correlated with higher total HAMD score, anxiety somatization, and cognitive disturbance. The nodal degree in SFG was also found to be negatively associated with disease duration. In conclusion, our results demonstrated that MDD patients had impaired structural network features compared to CN, and disruption of optimal network architecture might be the mechanism behind the depressive symptoms and emotion disturbance in MDD patients. |
format | Online Article Text |
id | pubmed-7538511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75385112020-11-09 Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder Liu, Jing Xu, Xiaopei Zhu, Chunqing Luo, Liyuan Wang, Qi Xiao, Binbin Feng, Bin Hu, Lingtao Liu, Lanying Front Psychiatry Psychiatry Major depressive disorder (MDD) is a severe and devastating condition. However, the anatomical basis behind the affective symptoms, cognitive symptoms, and somatic-vegetative symptoms of MDD is still unknown. To explore the mechanism behind the depressive symptoms in MDD, we used diffusion tensor imaging (DTI)–based structural brain connectivity analysis to investigate the network difference between MDD patients and healthy controls (CN), and to explore the association between network metrics and patients’ clinical symptoms. Twenty-six patients with MDD and 25 CN were included. A baseline 24-item Hamilton rating scale for depression (HAMD-24) score ≥ 21 and seven factors (anxiety/somatization, weight loss, cognitive disturbance, diurnal variation, retardation, sleep disturbance, hopelessness) scores were assessed. When compared with healthy subjects, significantly higher characteristic path length and clustering coefficient as well as significantly lower network efficiencies were observed in patients with MDD. Furthermore, MDD patients demonstrated significantly lower nodal degree and nodal efficiency in multiple brain regions including superior frontal gyrus (SFG), supplementary motor area (SMA), calcarine fissure, middle temporal gyrus (MTG), and inferior temporal gyrus (ITG). We also found that the characteristic path length of MDD patients was associated with weight loss. Moreover, significantly lower global efficiency of MDD patients was correlated with higher total HAMD score, anxiety somatization, and cognitive disturbance. The nodal degree in SFG was also found to be negatively associated with disease duration. In conclusion, our results demonstrated that MDD patients had impaired structural network features compared to CN, and disruption of optimal network architecture might be the mechanism behind the depressive symptoms and emotion disturbance in MDD patients. Frontiers Media S.A. 2020-09-23 /pmc/articles/PMC7538511/ /pubmed/33173514 http://dx.doi.org/10.3389/fpsyt.2020.565890 Text en Copyright © 2020 Liu, Xu, Zhu, Luo, Wang, Xiao, Feng, Hu and Liu http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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 | Psychiatry Liu, Jing Xu, Xiaopei Zhu, Chunqing Luo, Liyuan Wang, Qi Xiao, Binbin Feng, Bin Hu, Lingtao Liu, Lanying Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title | Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title_full | Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title_fullStr | Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title_full_unstemmed | Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title_short | Disrupted Structural Brain Network Organization Behind Depressive Symptoms in Major Depressive Disorder |
title_sort | disrupted structural brain network organization behind depressive symptoms in major depressive disorder |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7538511/ https://www.ncbi.nlm.nih.gov/pubmed/33173514 http://dx.doi.org/10.3389/fpsyt.2020.565890 |
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