Suppr超能文献

首发未用药的重性抑郁障碍的全脑结构协变网络异常。

Whole-brain structural covariance network abnormality in first-episode and drug-naïve major depressive disorder.

机构信息

Department of Radiology, University of Occupational and Environmental Health, Fukuoka, Japan.

Department of Diagnostic Radiology, Hirosaki University Graduate School of Medicine Radiology, Aomori, Japan.

出版信息

Psychiatry Res Neuroimaging. 2020 Jun 30;300:111083. doi: 10.1016/j.pscychresns.2020.111083. Epub 2020 Apr 8.

Abstract

There has been a growing interest in the abnormality of networks across the brain in major depressive disorder (MDD). We aimed to investigate the structural covariance networks in patients with first-episode and drug-naïve MDD using structural imaging. A total of 77 patients with first-episode and drug-naïve MDD and 79 healthy subjects (HS) were recruited, from whom high-resolution T1-weighted images were analysed. Incident component analysis was used to calculate the brain networks based on grey matter volume covariance. There were significant differences in salience network, medial temporal lobe network, default mode network and central executive network between MDD and HS (p < 0.05). Further, the disturbance of medial temporal lobe network was significantly correlated with the severity of depressive symptoms (p < 0.05). In conclusion, we found a novel abnormality in the brain network in the medial temporal lobe primarily involving the hippocampus and parahippocampal gyrus in patients with first-episode and treatment-naïve MDD.

摘要

人们对重度抑郁症(MDD)患者大脑中网络的异常情况越来越感兴趣。我们旨在使用结构成像技术来研究首发且未经药物治疗的 MDD 患者的结构协变网络。共招募了 77 名首发且未经药物治疗的 MDD 患者和 79 名健康受试者(HS),并对他们的高分辨率 T1 加权图像进行了分析。基于灰质体积协方差,使用突发分量分析来计算大脑网络。MDD 组和 HS 组在突显网络、内侧颞叶网络、默认模式网络和中央执行网络方面存在显著差异(p < 0.05)。此外,内侧颞叶网络的紊乱与抑郁症状的严重程度显著相关(p < 0.05)。总之,我们发现首发且未经药物治疗的 MDD 患者内侧颞叶网络存在一种新的异常,主要涉及海马体和海马旁回。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验