Transdiagnostic depression severity and its relationship to global and prefrontal-amygdala structural properties in people with major depression and post-traumatic stress disorder.

IF 2.9 2区 医学 Q2 NEUROSCIENCES Cerebral cortex Pub Date : 2024-09-03 DOI:10.1093/cercor/bhae381
Lei Li, Jing Jiang, Shitong Zhong, Jinping Lin, Yuhao Yao, Graham J Kemp, Ying Chen, Qiyong Gong
{"title":"Transdiagnostic depression severity and its relationship to global and prefrontal-amygdala structural properties in people with major depression and post-traumatic stress disorder.","authors":"Lei Li, Jing Jiang, Shitong Zhong, Jinping Lin, Yuhao Yao, Graham J Kemp, Ying Chen, Qiyong Gong","doi":"10.1093/cercor/bhae381","DOIUrl":null,"url":null,"abstract":"<p><p>While some studies have used a transdiagnostic approach to relate depression to metabolic or functional brain alterations, the structural substrate of depression across clinical diagnostic categories is underexplored. In a cross-sectional study of 52 patients with major depressive disorder and 51 with post-traumatic stress disorder, drug-naïve, and spanning mild to severe depression severity, we examined transdiagnostic depressive correlates with regional gray matter volume and the topological properties of gray matter-based networks. Locally, transdiagnostic depression severity correlated positively with gray matter volume in the right middle frontal gyrus and negatively with nodal topological properties of gray matter-based networks in the right amygdala. Globally, transdiagnostic depression severity correlated positively with normalized characteristic path length, a measure implying brain integration ability. Compared with 62 healthy control participants, both major depressive disorder and post-traumatic stress disorder patients showed altered nodal properties in regions of the fronto-limbic-striatal circuit, and global topological organization in major depressive disorder in particular was characterized by decreased integration and segregation. These findings provide evidence for a gray matter-based structural substrate underpinning depression, with the prefrontal-amygdala circuit a potential predictive marker for depressive symptoms across clinical diagnostic categories.</p>","PeriodicalId":9715,"journal":{"name":"Cerebral cortex","volume":"34 9","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11420672/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerebral cortex","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/cercor/bhae381","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

While some studies have used a transdiagnostic approach to relate depression to metabolic or functional brain alterations, the structural substrate of depression across clinical diagnostic categories is underexplored. In a cross-sectional study of 52 patients with major depressive disorder and 51 with post-traumatic stress disorder, drug-naïve, and spanning mild to severe depression severity, we examined transdiagnostic depressive correlates with regional gray matter volume and the topological properties of gray matter-based networks. Locally, transdiagnostic depression severity correlated positively with gray matter volume in the right middle frontal gyrus and negatively with nodal topological properties of gray matter-based networks in the right amygdala. Globally, transdiagnostic depression severity correlated positively with normalized characteristic path length, a measure implying brain integration ability. Compared with 62 healthy control participants, both major depressive disorder and post-traumatic stress disorder patients showed altered nodal properties in regions of the fronto-limbic-striatal circuit, and global topological organization in major depressive disorder in particular was characterized by decreased integration and segregation. These findings provide evidence for a gray matter-based structural substrate underpinning depression, with the prefrontal-amygdala circuit a potential predictive marker for depressive symptoms across clinical diagnostic categories.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
重度抑郁症和创伤后应激障碍患者的跨诊断抑郁症严重程度及其与整体和前额叶-杏仁核结构特性的关系。
虽然有些研究采用跨诊断方法将抑郁症与大脑代谢或功能改变联系起来,但对抑郁症跨临床诊断类别的结构性基础研究还很欠缺。在一项针对 52 名重度抑郁症患者和 51 名创伤后应激障碍患者的横断面研究中,我们检测了跨诊断抑郁症与区域灰质体积和灰质网络拓扑特性的相关性。从局部来看,跨诊断抑郁严重程度与右侧额叶中回的灰质体积呈正相关,与右侧杏仁核灰质网络的节点拓扑特性呈负相关。从整体上看,跨诊断抑郁症的严重程度与归一化特征路径长度呈正相关,而归一化特征路径长度是大脑整合能力的一个指标。与62名健康对照者相比,重度抑郁障碍和创伤后应激障碍患者的前边缘-纹状体回路区域的节点特性都发生了改变,尤其是重度抑郁障碍患者的全局拓扑组织以整合和分离能力下降为特征。这些发现为抑郁症的灰质结构基础提供了证据,而前额叶-杏仁核回路则是不同临床诊断类别抑郁症状的潜在预测标志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
期刊最新文献
Individual differences in functional connectivity during suppression of imagined threat. When emotion and time meet from human and rodent perspectives: a central role for the amygdala? Introspective psychophysics for the study of subjective experience. Examining threat responses through a developmental lens. Causal relationship between cortical structural changes and onset of anxiety disorder: evidence from Mendelian randomization.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1