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Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics

White matter (WM) abnormalities have long been suspected in major depressive disorder (MDD). Tract-based spatial statistics (TBSS) studies have detected abnormalities in fractional anisotropy (FA) in MDD, but the available evidence has been inconsistent. We performed a quantitative meta-analysis of...

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Autores principales: Chen, Guangxiang, Hu, Xinyu, Li, Lei, Huang, Xiaoqi, Lui, Su, Kuang, Weihong, Ai, Hua, Bi, Feng, Gu, Zhongwei, Gong, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764827/
https://www.ncbi.nlm.nih.gov/pubmed/26906716
http://dx.doi.org/10.1038/srep21825
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author Chen, Guangxiang
Hu, Xinyu
Li, Lei
Huang, Xiaoqi
Lui, Su
Kuang, Weihong
Ai, Hua
Bi, Feng
Gu, Zhongwei
Gong, Qiyong
author_facet Chen, Guangxiang
Hu, Xinyu
Li, Lei
Huang, Xiaoqi
Lui, Su
Kuang, Weihong
Ai, Hua
Bi, Feng
Gu, Zhongwei
Gong, Qiyong
author_sort Chen, Guangxiang
collection PubMed
description White matter (WM) abnormalities have long been suspected in major depressive disorder (MDD). Tract-based spatial statistics (TBSS) studies have detected abnormalities in fractional anisotropy (FA) in MDD, but the available evidence has been inconsistent. We performed a quantitative meta-analysis of TBSS studies contrasting MDD patients with healthy control subjects (HCS). A total of 17 studies with 18 datasets that included 641 MDD patients and 581 HCS were identified. Anisotropic effect size-signed differential mapping (AES-SDM) meta-analysis was performed to assess FA alterations in MDD patients compared to HCS. FA reductions were identified in the genu of the corpus callosum (CC) extending to the body of the CC and left anterior limb of the internal capsule (ALIC) in MDD patients relative to HCS. Descriptive analysis of quartiles, sensitivity analysis and subgroup analysis further confirmed these findings. Meta-regression analysis revealed that individuals with more severe MDD were significantly more likely to have FA reductions in the genu of the CC. This study provides a thorough profile of WM abnormalities in MDD and evidence that interhemispheric connections and frontal-striatal-thalamic pathways are the most convergent circuits affected in MDD.
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spelling pubmed-47648272016-03-02 Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics Chen, Guangxiang Hu, Xinyu Li, Lei Huang, Xiaoqi Lui, Su Kuang, Weihong Ai, Hua Bi, Feng Gu, Zhongwei Gong, Qiyong Sci Rep Article White matter (WM) abnormalities have long been suspected in major depressive disorder (MDD). Tract-based spatial statistics (TBSS) studies have detected abnormalities in fractional anisotropy (FA) in MDD, but the available evidence has been inconsistent. We performed a quantitative meta-analysis of TBSS studies contrasting MDD patients with healthy control subjects (HCS). A total of 17 studies with 18 datasets that included 641 MDD patients and 581 HCS were identified. Anisotropic effect size-signed differential mapping (AES-SDM) meta-analysis was performed to assess FA alterations in MDD patients compared to HCS. FA reductions were identified in the genu of the corpus callosum (CC) extending to the body of the CC and left anterior limb of the internal capsule (ALIC) in MDD patients relative to HCS. Descriptive analysis of quartiles, sensitivity analysis and subgroup analysis further confirmed these findings. Meta-regression analysis revealed that individuals with more severe MDD were significantly more likely to have FA reductions in the genu of the CC. This study provides a thorough profile of WM abnormalities in MDD and evidence that interhemispheric connections and frontal-striatal-thalamic pathways are the most convergent circuits affected in MDD. Nature Publishing Group 2016-02-24 /pmc/articles/PMC4764827/ /pubmed/26906716 http://dx.doi.org/10.1038/srep21825 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chen, Guangxiang
Hu, Xinyu
Li, Lei
Huang, Xiaoqi
Lui, Su
Kuang, Weihong
Ai, Hua
Bi, Feng
Gu, Zhongwei
Gong, Qiyong
Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title_full Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title_fullStr Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title_full_unstemmed Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title_short Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
title_sort disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764827/
https://www.ncbi.nlm.nih.gov/pubmed/26906716
http://dx.doi.org/10.1038/srep21825
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