Cerebrovascular Contributions to Brain Aging and Dementia

脑血管对脑老化和痴呆的贡献。脑血管疾病（CVD） 以一种复杂的方式对一系列有害的与年龄有关的疾病，包括认知能力下降， 神经变性和阿尔茨海默病（AD）的临床综合征。尽管如此，我们对 CVD在这些条件下影响大脑和认知。本提案的目标是定义认知 心血管疾病的神经后果，以及心血管疾病相关的变化如何改变AD的临床下降过程 通过使用一系列新颖的先进的神经成像程序。 目标1。目的：探讨老年人脑血管病（CVD）对脑灰质（GM）和白色（WM）变性的影响。 成人和AD患者。 假设1.脑血管健康状况不佳会导致额叶的GM和WM退化。高 基线卒中风险预测后续组织退化。 目标二。确定CVD相关的大脑变化如何导致认知能力下降。 假设2.心血管疾病和认知能力下降之间存在联系， 风险和工作记忆，而不是长期记忆。 目标3。了解CVD如何影响临床状态、脑老化和AD进展。 假设3. CVD与认知随时间的变化有关， 中风风险和工作能力下降，而不是长期记忆能力。CVD相关WM变性 是患痴呆症的危险因素 CVD风险将使用融合临床和 定量生理数据。我们将模拟CVD测量和MRI测量之间的关联， 重点是中风风险如何预测随后的神经退化和临床衰退。措施 CVD将与不同测试阶段的认知能力和成像测量的变化相关 通过2年和4年来确定CVD或相关的大脑变化是否会影响 从轻度认知障碍转变为痴呆。从拟议的研究中获得的知识将是 可用于AD和CVD相关脑变性的差异治疗干预。

Cerebrovascular contributions to brain aging and dementia. Cerebrovascular disease (CVD) contributes in a complex manner to a host of detrimental age-related conditions including cognitive decline, neurodegeneration, and the clinical syndrome of Alzheimer's disease (AD). Still, little is known about how CVD affects the brain and cognition in these conditions. The goal of this proposal is to define the cognitive and neural consequences of CVD, and how CVD-related changes alter the course of clinical decline in AD through the use of a host of novel, advanced neuroimaging procedures. Aim 1. To identify the contribution of CVD to brain gray (GM) and white matter (WM) degeneration in older adults and in patients with AD. Hypothesis 1. Poor Cerebrovascular health contributes to GM and WM degeneration in the frontal lobe. High stroke risk at baseline predicts subsequent tissue degeneration at follow up assessment. Aim 2. To determine how CVD associated brain changes contribute to cognitive decline. Hypothesis 2. A relation exists between CVD and cognitive decline with strong associations between stroke risk and working memory, as opposed to long term memory. Aim 3. To understand how CVD contributes to clinical status, brain aging, and the progression to AD. Hypothesis 3. CVD is related to changes in cognition across time with most pronounced relations between stroke risk and reduced working, as opposed to long term, memory abilities. CVD related WM degeneration is a risk for the development of dementia. CVD risk will be characterized using the Framingham Stroke Risk profile which integrates clinical and quantitative physiological data. We will model the association between CVD measures and MRI measures of with a focus on how stroke risk predicts subsequent neural degeneration and clinical decline. Measures of CVD will be related to change in cognitive abilities and imaging measures across testing sessions separated by two and four years to determine whether CVD or associated brain changes affect the rate of the conversion from mild cognitive impairment to dementia. Knowledge from the proposed studies would be useful in the differential therapeutic intervention of AD and CVD related brain degeneration.