权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Cardiovascular risk factors, physical activity and healthy cognitive ageing

心血管危险因素、体力活动和健康认知衰老

基本信息

批准号：
2274385
负责人：
金额：
--
依托单位：
University of Cambridge
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2274385
关键词：
Cardiovascular risk factors physical activity

项目摘要

PhD project strategic theme: Bioscience for an integrated understanding of healthThe project will investigate how cardiovascular health contributes to healthy cognitive ageing. It will develop models using statistical techniques, such as multi-variate data-driven and hypothesis-generated analysis, which will allow the integration of multiple measures of cardiovascular health, with measures of physical activity, neural structure and function, and cognitive performance. A key and novel aspect of the research will be the use of magnetoencephalography (MEG) data to explore how neural function changes with age. This will be an important advance because MEG is not limited by the age-related changes in vasculature that have been recently observed to confound fMRI studies of ageing (Tsvetanov et al, in press). The research will utilise existing data in the population-based cross-sectional cohort of the Cambridge Centre for Ageing and Neuroscience (Cam-CAN), which has around 700 participants, aged 18-87 years old (Taylor et al, 2017). The first analyses will likely be extensions of two previous studies on Cam-CAN data. These studies linked cardiovascular health and physical activity separately to white matter integrity (Fuhrmann et al, 2019; Strommer et al, 2020). However, it remains unclear whether the link between cardiovascular health on white matter integrity is mediated by physical activity. This PhD project aims to expand on these studies to include many more measures of neural structure and function, in order to better characterise the complex relationships between components of cardiovascular, brain health and cognitive performance in healthy ageing.

博士项目战略主题：生物科学对健康的综合理解该项目将调查心血管健康如何有助于健康的认知老化。它将使用统计技术开发模型，如多变量数据驱动和假设生成分析，这将允许将心血管健康的多种衡量标准与体力活动、神经结构和功能以及认知表现的衡量标准相结合。这项研究的一个关键和新颖的方面将是使用脑磁图(MEG)数据来探索神经功能如何随着年龄的变化而变化。这将是一项重要的进步，因为MEG不受与年龄相关的血管系统变化的限制，这些变化最近被观察到混淆了衰老的fMRI研究(Tsvetanov等人，在出版中)。这项研究将利用剑桥老龄化和神经科学中心(Cam-Can)以人口为基础的横断面队列中的现有数据，该中心约有700名参与者，年龄在18-87岁(Taylor等人，2017年)。最初的分析可能是对之前两项关于Cam-Can数据的研究的扩展。这些研究分别将心血管健康和体力活动与白质完整性联系起来(Fuhrmann等人，2019年；Strommer等人，2020年)。然而，目前尚不清楚心血管健康与白质完整性之间的联系是否通过体育活动来调节。这个博士项目旨在扩展这些研究，包括更多神经结构和功能的测量，以便更好地描述健康老龄化中心血管、大脑健康和认知表现组成部分之间的复杂关系。