Brain imaging and cognitive ageing in the Lothian Birth Cohort 1936: III

随着全球人口老龄化，管理和照顾一些老年人将需要越来越多的资源。认知老化是老年人某些认知能力下降的过程，特别令人关切，因为它会导致生活质量下降，丧失独立性，并在后期阶段增加患痴呆症的风险。因此，如果我们要减少在个人和社会层面的老龄化负担，表征认知老化的生物学原因是很重要的，在这个提案中，我们要求资金收集和分析脑磁共振成像（MRI）和颈动脉多普勒超声数据的洛锡安出生队列1936年的参与者。他们是一群70多岁的相对健康的社区居民。这一队列在拥有年轻人的认知数据方面是独一无二的（一种在11岁时获得的有效的智商测量方法），并重复认知测试，脑成像，遗传，表观遗传，生活方式，心理，社交及其他重要信息，从70岁，73岁，76岁获得，并在79岁收集。通过进行第三波脑MRI和颈动脉超声扫描，我们将获得80岁（73至79岁）大部分时间的详细成像数据，在此期间，痴呆症的风险增加。在老年人的三个时间点获得的纵向成像数据是罕见的，将允许彻底探索大脑结构随年龄的变化（例如，大脑灰质和白色物质的损失），这些变化如何与整个生命过程中测量的认知能力相关，以及哪些因素（例如，遗传，饮食，运动等）是造成这些变化的主要原因。了解这些关系是一个重要的一步，有助于制定战略，以减缓与年龄相关的认知能力下降，并在表征认知老化在预示着demential.The目前的应用程序中扮演什么角色是少数资金的项目，也有资金来自年龄英国的认知，医学，生物标志物和社会心理数据的收集和整理和分析。

As human populations age across the planet, increasingly significant resources will be needed to manage and care for some older people. Cognitive ageing, the process by which some cognitive abilities decline in older age, is of particular concern, leading as it does to reduced quality of life, loss of independence, and, in its later stages, increased risk of dementia. Characterising the biological causes of cognitive ageing is therefore important if we are to reduce the burden of ageing at both the individual and societal level.In this proposal we request funds to collect and analyze brain magnetic resonance imaging (MRI) and carotid artery Doppler ultrasound data from participants of the Lothian Birth Cohort 1936. They are a large group of relatively healthy community-dwelling subjects in their late seventies. This cohort is unique in having cognitive data from youth (a well-validated measure of IQ obtained at age 11 years), and repeat cognitive testing, brain imaging, genetic, epigenetic, lifestyle, psychological, social and other important information obtained from ages 70, 73, 76 years, and to be collected at age 79.By undertaking a third wave of brain MRI and carotid ultrasound scanning, we will have detailed imaging data spanning most of the eighth decade of life (73 to 79 years) during which risk of dementia increases. Longitudinal imaging data obtained at three time points in older age is rare and will allow a thorough exploration of changes in brain structure with age (e.g. loss of brain grey and white matter), how these changes relate to cognitive ability measured across the whole life course, and what factors (e.g. genetics, diet, exercise, etc.) are most responsible for these changes. Understanding these relationships is an important step in helping to develop strategies to slow age-related cognitive decline, and in characterising what role cognitive ageing plays in heralding dementia.The present application is for minority funding for a project that also has funding from Age UK for the collection of the cognitive, medical, biomarker, and psychosocial data and their collation and analyses.