已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Essential brain structural alterations in major depressive disorder: A voxel-wise meta-analysis on first episode, medication-naive patients

重性抑郁障碍 基于体素的形态计量学 脑形态计量学 额上回 体素 额中回 顶叶下小叶 医学 额下回 心理学 神经影像学 脑岛 内科学 听力学 精神科 神经科学 磁共振成像 白质 认知 放射科
作者
Wei Peng,Ziqi Chen,Li Yin,Zhiyun Jia,Qiyong Gong
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:199: 114-123 被引量:124
标识
DOI:10.1016/j.jad.2016.04.001
摘要

Because brain morphological abnormalities in major depressive disorder (MDD) may be modulated by medication and episodes, previous meta-analyses of voxel-based morphometry (VBM) studies therefore have been biased for including medicated patients or medication-free patients who had ever received drugs, as well as patients with different episodes. We sought to identify the essential morphological features without the interference of medication and episodes in MDD. Seed-based d Mapping was applied to analyze the gray matter differences between all first episode (FE), medication-naive MDD patients and healthy controls. Subgroup meta-analyses and meta-regression were used to explore the effects of methodology, demographics and clinical characteristics. We identified 10 studies comprising 329 FE, medication-naive MDD patients and 340 healthy controls. Gray matter volumes were increased in the bilateral thalamus, cuneus, left paracentral lobule and medial superior frontal gyrus, and decreased in the right dorsolateral superior frontal gyrus, left insula and middle frontal gyrus in patients. Decreased volume in the right inferior temporal gyrus was only observed in patients with short illness duration and studies with threshold corrections. Moreover, there were different results between 3.0 T MRI and 1.5 T MRI studies. Meta-regression analyses revealed that mean age and the percentage of female patients were not significantly correlated with gray matter changes. There are heterogeneities in demographics, clinical features and analyzing methods of selected studies. The present meta-analysis revealed that structural abnormalities in the fronto-limbic networks are the essential characteristics in MDD and could contribute to the high risk of suicide in patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lalala完成签到,获得积分10
1秒前
3秒前
邓力发布了新的文献求助10
9秒前
小付完成签到,获得积分10
14秒前
02发布了新的文献求助10
16秒前
科研通AI5应助硕小牛采纳,获得10
17秒前
量子星尘发布了新的文献求助10
18秒前
20秒前
程程发布了新的文献求助10
26秒前
28秒前
wang5945完成签到 ,获得积分10
30秒前
李健的小迷弟应助李李采纳,获得10
32秒前
量子星尘发布了新的文献求助10
35秒前
dax大雄完成签到 ,获得积分10
36秒前
38秒前
jfaioe完成签到,获得积分10
38秒前
学不死就往死里学关注了科研通微信公众号
39秒前
斯文败类应助炸年糕老彭采纳,获得10
40秒前
41秒前
tjnksy完成签到,获得积分10
41秒前
量子星尘发布了新的文献求助10
42秒前
鲤角兽完成签到,获得积分10
43秒前
ceeray23发布了新的文献求助50
43秒前
Jasper应助Louise采纳,获得10
44秒前
李李发布了新的文献求助10
45秒前
李健的小迷弟应助小付采纳,获得10
47秒前
47秒前
51秒前
52秒前
快乐冰之发布了新的文献求助50
52秒前
量子星尘发布了新的文献求助10
54秒前
李李完成签到,获得积分20
55秒前
mmmmk完成签到,获得积分10
55秒前
56秒前
xhylalalala发布了新的文献求助10
57秒前
58秒前
苇一完成签到,获得积分10
58秒前
Wang_JN完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
ai zs发布了新的文献求助10
1分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
Statistical Methods for the Social Sciences, Global Edition, 6th edition 600
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3666287
求助须知:如何正确求助?哪些是违规求助? 3225351
关于积分的说明 9762737
捐赠科研通 2935243
什么是DOI,文献DOI怎么找? 1607522
邀请新用户注册赠送积分活动 759252
科研通“疑难数据库(出版商)”最低求助积分说明 735185