高级检索
当前位置: 首页 > 详情页

Age-related heterogeneity revealed by disruption of white matter structural networks in patients with first-episode untreated major depressive disorder: WM Network In OA-MDD.

| 导出 | |

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE ◇ SSCI

机构: [1]Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China [2]Mental Health Institute of Yunnan, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
出处:
ISSN:

摘要:
The clinical treatment and prognosis of major depressive disorder (MDD) are limited by the high degree of disease heterogeneity. It is unclear whether there is a potential network mechanism for age-related heterogeneity. We aimed to uncover the heterogeneity of the white matter (WM) network at different ages of onset and its correlation with different symptom characteristics. 85 first-episode MDD patients and 84 corresponding healthy controls (HCs) were recruited and underwent diffusion tensor imaging scans. Structural network characteristics were analyzed using graph theory methods. We observed an accelerated age-related decline of the WM network in MDD patients compared with HCs. Distinct symptom-related networks were identified in three MDD groups with different onset-age. For early-onset MDD (18-29 years; EOD), higher guilt and loss of interest were correlated with the insula, and inferior parietal lobe which in default mode network and salience network. For mid-term-onset MDD (30-44 years; MOD), higher somatic symptoms were correlated with thalamus which in cortico-striatal-thalamic-cortical circuit. For later-onset MDD (45-60 years; LOD), poor sleep symptoms were correlated with the caudate in the basal ganglia, which suggests the cingulate operculum network in the control of sleep. These results supported a circuit-based heterogeneity associated with the age of onset in MDD. Understanding this circuit-based heterogeneity might help to develop a new target for clinical treatment strategies.Copyright © 2022 Elsevier B.V. All rights reserved.

基金:

基金编号: 2019FE001(-144)

语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2023]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学 2 区 精神病学
最新[2023]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学 2 区 精神病学
JCR分区:
出版当年[2022]版:
Q1 CLINICAL NEUROLOGY Q1 PSYCHIATRY
最新[2023]版:
Q1 CLINICAL NEUROLOGY Q1 PSYCHIATRY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

第一作者:
第一作者机构: [1]Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
共同第一作者:
通讯作者:
通讯机构: [1]Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:53640 今日访问量:0 总访问量:1665 更新日期:2024-11-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 昆明医科大学第一附属医院 技术支持:重庆聚合科技有限公司 地址:云南省昆明市西昌路295号(650032)