Suppr超能文献

在体可视化年龄相关的蓝斑差异。

In vivo visualization of age-related differences in the locus coeruleus.

机构信息

Division of Psychiatry, University College London, London, UK.

Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, UK.

出版信息

Neurobiol Aging. 2019 Feb;74:101-111. doi: 10.1016/j.neurobiolaging.2018.10.014. Epub 2018 Oct 20.

Abstract

The locus coeruleus (LC), the major origin of noradrenergic modulation of the central nervous system, may play an important role in neuropsychiatric disorders including Parkinson's disease and Alzheimer's disease. The pattern of age-related change of the LC across the life span is unclear. We obtained normalized, mean LC signal intensity values, that is, contrast ratios (CRs), from magnetization transfer-weighted images to investigate the relationship between LC CR and age in cognitively normal healthy adults (N = 605, age range 18-88 years). Study participants were part of the Cambridge Centre for Ageing and Neuroscience-an open-access, population-based data set. We found a quadratic relationship between LC CR and age, the peak occurring around 60 years, with no differences between males and females. Subregional analyses revealed that age-related decline in LC CR was confined to the rostral portion of the LC. Older adults showed greater variance in overall LC CR than younger adults, and the functional and clinical implications of these observed age-related differences require further investigation. Visualization of the LC in this study may inform how future scanning parameters can be optimized, and provides insight into how LC integrity changes across the life span.

摘要

蓝斑(LC)是中枢神经系统去甲肾上腺素调节的主要起源,可能在包括帕金森病和阿尔茨海默病在内的神经精神疾病中发挥重要作用。LC 在整个生命周期中与年龄相关的变化模式尚不清楚。我们从磁化转移加权图像中获得了归一化的、平均 LC 信号强度值,即对比比(CR),以研究认知正常的健康成年人(N=605,年龄范围 18-88 岁)中 LC CR 与年龄之间的关系。研究参与者是剑桥老龄化和神经科学中心的一部分,这是一个开放获取的、基于人群的数据集。我们发现 LC CR 与年龄之间存在二次关系,峰值出现在 60 岁左右,男性和女性之间没有差异。亚区分析显示,LC CR 与年龄相关的下降仅限于 LC 的前部。与年轻成年人相比,老年成年人的整体 LC CR 变化更大,这些观察到的与年龄相关的差异的功能和临床意义需要进一步研究。本研究中 LC 的可视化可能有助于告知未来如何优化扫描参数,并深入了解 LC 完整性如何在整个生命周期中发生变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/278b/6338679/f5cbffeafd0b/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验