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Cerebrovascular Contributions to Brain Aging and Dementia

Cerebrovascular Contributions to Brain Aging and Dementia
脑血管对大脑衰老和痴呆的影响
批准号:
8071338
负责人:
DAVID H SALAT
金额:
$8.65万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-06-01 至 2011-05-31

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中文摘要
翻译
脑血管对大脑衰老和痴呆的贡献。脑血管疾病 (CVD) 会导致 以复杂的方式导致一系列与年龄相关的有害状况,包括认知能力下降, 神经退行性变和阿尔茨海默病(AD)的临床综合征。然而,人们对如何做到这一点仍知之甚少 在这些情况下,CVD 会影响大脑和认知。该提案的目标是定义认知 CVD 的神经后果,以及 CVD 相关的变化如何改变 AD 临床衰退的过程 通过使用一系列新颖、先进的神经影像程序。 目标 1. 确定 CVD 对老年人脑灰质 (GM) 和白质 (WM) 退化的影响 成人和 AD 患者。 假设 1. 脑血管健康状况不佳会导致额叶 GM 和 WM 退化。高 基线的中风风险可预测后续评估时的后续组织退化。 目标 2. 确定 CVD 相关的大脑变化如何导致认知能力下降。 假设 2. CVD 与认知能力下降之间存在相关性,且与中风之间存在密切关联 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、大脑衰老和 AD 进展。 假设 3. CVD 与认知随时间的变化有关,其中最明显的关系是 中风风险和工作能力下降,而不是长期记忆能力下降。 CVD相关WM变性 是患痴呆症的风险。 CVD 风险将使用 Framingham 中风风险概况进行表征,该概况综合了临床和 定量生理数据。我们将模拟 CVD 测量值和 MRI 测量值之间的关联 重点关注中风风险如何预测随后的神经退化和临床衰退。措施 CVD将与认知能力和影像学测量的变化相关 需要两年和四年的时间来确定心血管疾病或相关的大脑变化是否会影响心血管疾病的发生率 从轻度认知障碍转变为痴呆。拟议研究的知识将是 可用于 AD 和 CVD 相关脑变性的差异治疗干预。
英文摘要
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.
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海外基金