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)对 以一种复杂的方式对一系列有害的年龄相关疾病，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，人们对它是如何做到的却知之甚少 在这些情况下，CVD会影响大脑和认知。这项提议的目标是定义认知 和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阿尔茨海默病的临床下降过程 通过使用一系列新颖、先进的神经成像程序。 目的1.探讨脑血管病变在老年人脑灰质和白质变性中的作用 成人和阿尔茨海默病患者。 假设1.脑血管健康状况不佳导致额叶GM和WM变性。高 基线时的卒中风险预测后续的组织退变。 目的2.确定脑血管病相关的脑变化如何导致认知功能下降。 假设2.心血管疾病和认知能力下降之间存在联系，而中风之间存在很强的联系 风险和工作记忆，而不是长期记忆。 目的3.了解心血管疾病是如何影响临床状态、脑老化和进展为AD的。 假设3.心血管疾病与认知随时间的变化有关，其中最显著的关系是 中风风险和工作能力降低，而不是长期记忆能力。脑血管病相关性白质变性 是发展成痴呆症的风险。 心血管疾病风险将使用弗雷明翰卒中风险概况来表征，该风险概况结合了临床和 定量的生理数据。我们将建立CVD测量和MRI测量之间的关联模型 重点放在中风风险如何预测随后的神经变性和临床衰退。衡量标准 心血管疾病将与分开的测试过程中认知能力和成像测量的变化有关 通过两年和四年的时间来确定心血管疾病或相关的脑变化是否会影响 从轻度认知障碍转变为痴呆症。从拟议的研究中获得的知识将是 有助于AD和CVD相关性脑变性的辨证治疗干预。

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.