Early AD Detection with ASL MRI & Covariance Analysis

使用 ASL MRI 进行早期 AD 检测

基本信息

项目摘要

DESCRIPTION (provided by applicant): As the development of treatments for Alzheimer's disease (AD) continues, there is an urgent need for biomarkers that can diagnose AD as early as possible, and that can map disease progression for the purposes of testing drug efficacy. Previous studies have suggested that there is a strong link between resting cerebral blood flow (CBF) assessed by PET or SPECT and neuropathological changes of AD. However PET or SPECT are limited by factors such as high cost, low availability, invasive nature, ionizing radiation or low spatial resolution. Arterial spin labeling (ASL) MRI is a relatively recent, noninvasive, and cost-effective imaging technique which provides absolute quantification of CBF with reproducibility, resolution and contrast exceeding that obtained with PET or SPECT. This proposal combines the measuring power of ASL MRI with the analytic power of multivariate analysis methods. Despite the attractive features of multivariate analytic techniques compared with more commonly used univariate techniques, they have rarely been used to study the neural correlates of AD or cognitive impairment. Multivariate analysis methods can identify patterns of regionally correlated CBF changes that might precede the clinical and structural manifestation of the disease, and therefore serve as sensitive early diagnostic tool. 20 healthy elderly controls, 60 subject with Mild Cognitive Impairment, and 20 early AD subjects will be scanned repeatedly with ASL MRI during rest to establish CBF patterns underlying early AD. Their ability to detect AD, predict disease progression and predict of conversion to AD status in the MCI subjects will be investigated. It is feasible that CBF measurement through ASL and forward application of such AD-related CBF patterns can become a routine part of structural MRI scans, to capture in one number -similar to a neuropsychological measure- the degree to which subjects display AD-related CBF changes in at-risk and early stage patients, and thereby aid the early detection and treatment.
描述(由申请人提供):随着阿尔茨海默氏病(AD)治疗方法的不断发展,迫切需要能够尽早诊断 AD 的生物标志物,并且可以绘制疾病进展图以测试药物功效。先前的研究表明,通过 PET 或 SPECT 评估的静息脑血流量 (CBF) 与 AD 的神经病理学变化之间存在密切联系。然而,PET 或 SPECT 受到成本高、可用性低、侵入性、电离辐射或空间分辨率低等因素的限制。动脉自旋标记 (ASL) MRI 是一种相对较新的、无创且经济高效的成像技术,可提供 CBF 的绝对定量,其再现性、分辨率和对比度均超过 PET 或 SPECT。该提案将 ASL MRI 的测量能力与多变量分析方法的分析能力相结合。尽管与更常用的单变量技术相比,多变量分析技术具有吸引人的特点,但它们很少用于研究 AD 或认知障碍的神经相关性。多变量分析方法可以识别区域相关的 CBF 变化模式,这些变化可能先于疾病的临床和结构表现,因此可以作为敏感的早期诊断工具。 20 名健康老年人对照、60 名轻度认知障碍受试者和 20 名早期 AD 受试者将在休息期间使用 ASL MRI 进行重复扫描,以建立早期 AD 背后的 CBF 模式。将研究它们在 MCI 受试者中检测 AD、预测疾病进展和预测转变为 AD 状态的能力。通过ASL进行CBF测量并向前应用此类AD相关CBF模式可以成为结构MRI扫描的常规部分,以类似于神经心理学测量的方式捕捉受试者在高危和早期患者中表现出AD相关CBF变化的程度,从而有助于早期发现和治疗。

项目成果

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Christian Georg Habeck其他文献

Christian Georg Habeck的其他文献

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{{ truncateString('Christian Georg Habeck', 18)}}的其他基金

Exploring Cognitive Aging Using Refernce Ability Neural Networks
使用参考能力神经网络探索认知老化
  • 批准号:
    9177188
  • 财政年份:
    2011
  • 资助金额:
    $ 32.34万
  • 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
  • 批准号:
    10645084
  • 财政年份:
    2011
  • 资助金额:
    $ 32.34万
  • 项目类别:
Exploring Cognitive Aging Using Reference Ability Neural Networks
使用参考能力神经网络探索认知老化
  • 批准号:
    10470092
  • 财政年份:
    2011
  • 资助金额:
    $ 32.34万
  • 项目类别:
Multivariate approaches to neuroimaging analysis
神经影像分析的多变量方法
  • 批准号:
    7197143
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
  • 批准号:
    7144095
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Multivariate approaches to neuroimaging analysis
神经影像分析的多变量方法
  • 批准号:
    7564716
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Multivariate approaches to neuroimaging analysis
神经影像分析的多变量方法
  • 批准号:
    7383849
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
  • 批准号:
    8092768
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
  • 批准号:
    7632173
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
Early AD Detection with ASL MRI & Covariance Analysis
使用 ASL MRI 进行早期 AD 检测
  • 批准号:
    7874469
  • 财政年份:
    2007
  • 资助金额:
    $ 32.34万
  • 项目类别:
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