White Matter Tract Integrity Is Reduced in Depression and in Individuals With Genetic Liability to Depression

白质 部分各向异性 萧条(经济学) 磁共振弥散成像 心理学 内科学 生命银行 纤维束 医学 神经科学 精神科 生物信息学 磁共振成像 生物 放射科 经济 宏观经济学
作者
David Nothdurfter,Philippe Jawinski,Sebastian Markett
出处
期刊:Biological Psychiatry [Elsevier BV]
卷期号:95 (12): 1063-1071 被引量:6
标识
DOI:10.1016/j.biopsych.2023.11.028
摘要

Background While major depression has been linked to changes in white matter architecture, it remains unclear whether risk factors for depression are directly associated with these alterations. We re-examined white matter fiber tracts in individuals with depressive symptoms and investigated the connection between genetic and environmental risk for depression and structural changes in the brain. Methods We included 17,183 participants from the UK Biobank imaging cohort, with depression status and adverse life experience based on questionnaire data and genetic liability for depression quantified by polygenic scores. The integrity of 27 white matter tracts was assessed using mean fractional anisotropy derived from diffusion MRI. Results White matter integrity was reduced in individuals suffering from depressive symptoms, particularly in thalamic and intracortical fiber tracts, independent of current symptom status. In a group of healthy non-depressed individuals, increasing genetic risk as well as increasing environmental risk was associated with reduced integrity in relevant fiber tracts, particularly in thalamic radiations. This association was stronger than expected based on statistical dependencies between samples, as confirmed by subsequent in-silico simulations and permutation tests. Conclusion White matter alterations in thalamic and association tracts are associated with depressive symptoms and with genetic risk for depression in unaffected individuals, suggesting an intermediate phenotype at the brain level.
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
刚刚
quin发布了新的文献求助10
3秒前
DOODBYE完成签到,获得积分10
3秒前
lilx2019完成签到,获得积分10
5秒前
剑剑完成签到,获得积分10
5秒前
yanbeio完成签到,获得积分10
5秒前
walker007完成签到,获得积分10
6秒前
爱吃菠萝发布了新的文献求助10
7秒前
9秒前
10秒前
赘婿应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
Criminology34应助不麻怎么吃采纳,获得10
11秒前
xiong关注了科研通微信公众号
13秒前
飞起来了完成签到,获得积分10
15秒前
完美世界应助kevin采纳,获得10
15秒前
16秒前
无限醉香发布了新的文献求助10
16秒前
Maxine完成签到 ,获得积分10
21秒前
飞起来了发布了新的文献求助100
22秒前
linger发布了新的文献求助10
23秒前
从容的从凝完成签到,获得积分10
23秒前
24秒前
快乐的凡霜完成签到,获得积分10
28秒前
28秒前
xiong发布了新的文献求助10
28秒前
SC完成签到,获得积分10
34秒前
34秒前
39秒前
CodeCraft应助CAPCAP采纳,获得10
40秒前
澡雪完成签到,获得积分10
41秒前
nyr1997完成签到,获得积分10
41秒前
41秒前
走心君完成签到,获得积分10
45秒前
DMMM给DMMM的求助进行了留言
45秒前
46秒前
cc完成签到,获得积分10
47秒前
CipherSage应助ELAINE采纳,获得10
48秒前
李健的粉丝团团长应助Qsy采纳,获得10
49秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357350
求助须知:如何正确求助?哪些是违规求助? 8172042
关于积分的说明 17206733
捐赠科研通 5413036
什么是DOI,文献DOI怎么找? 2864862
邀请新用户注册赠送积分活动 1842332
关于科研通互助平台的介绍 1690526