Functional MRI and Alzheimer's Disease

功能性 MRI 和阿尔茨海默病

• 批准号: 7210149
• 负责人: DIETMAR CORDES
• 金额: $ 17.41万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7210149
• 关键词: Accounting; Adult; Age; Alzheimer' s Disease; Alzheimer' s disease risk; Applications Grants; Area; Attention; Clinical; Complex; Confidence Intervals; Data; Data Collection; Dementia; Detection; Development; Diagnostic tests; Functional Magnetic Resonance Imaging; Future; Goals; Grant; Hippocampus (Brain); Impaired cognition; Individual; Lead; Limbic System; Maps; Measurable; Measures; Memory; Memory Loss; Memory impairment; Methodology; Methods; Numbers; Pattern; Performance; Phase; Pilot Projects; Rest; Risk; Scanning; Standards of Weights and Measures; Statistical Methods; Structure; Temporal Lobe; Visual; base; cingulate cortex; clinical application; improved; method development; mild neurocognitive impairment; novel; response; visual memory

DESCRIPTION (provided by applicant): The overall goal of this project is to obtain an accurate statistical map of memory activation in the hippocampus (and associated structures in the limbic system such as cingulate cortex) in older subjects, age 60 to 75. The successful completion of our objectives may lead to an fMRI-based diagnostic test for memory impairment to characterize abnormal memory function in people at risk for Alzheimer's disease (AD). AD is characterized by memory loss with pathological changes especially in the temporal lobes and hippocampus. The present application seeks to expand on previous studies to produce robust maps of hippocampal and cingulate cortex activation. Using local Canonical Correlation Analysis (CCA), a powerful multivariate statistical method that uses locally adaptive spatial filter kernels, it is possible to detect activation in the hippocampus more reliably than with univariate methods. The present proposal represents a first step toward characterizing memory function, especially for people at risk for developing AD and other forms of dementia. It is divided into two major phases and will be applied to two subject groups (cognitively normal subjects and subjects with mild amnestic cognitive impairment (MCI)). In phase I (year 1, method development), two memory paradigms will be optimized. The goal in this phase is to establish a consistent fMRI methodology (paradigm and analysis method) providing reliable results of hippocampal activation as measured by adaptive CCA (an improved version of CCA). Data collection and fMRI analysis will be carried out at STesIa for 10 healthy control subjects. Activation in the cingulate cortex will also be measured. In phase II (year 2, clinical application) 40 subjects will be scanned: 20 normal subjects and 20 with mild cognitive impairment. Activations of the Hippocampus and other areas of the limbic system (such as cingulate cortex) will be measured. The performance of adaptive CCA will be compared with a standard univariate analysis using SPM2. We will focus initially on group analysis (i.e., investigating differences in memory activation between each group), but in the later phase we will explore individual markers and provide individual confidence intervals to characterize memory deficit, which might predict future development of dementia.

描述（由申请人提供）：该项目的总体目标是在较老的受试者中获得海马中的准确记忆激活（以及边缘系统中的相关结构），60至75岁。成功完成我们的目标可能会导致基于FMRI的诊断障碍，以表征依次的疾病，以表征依恋的疾病。 AD的特征是记忆力丧失，尤其是在颞叶和海马中。本应用程序旨在扩大以前的研究，以产生强大的海马和扣带皮质激活。使用局部规范相关分析（CCA），一种强大的多元统计方法，使用局部自适应的空间滤波器内核，比使用单变量方法可以更可靠地检测到海马中的激活。本提案是表征记忆功能的第一步，尤其是对于有发展AD和其他形式的痴呆症的人。它分为两个主要阶段，并将应用于两个受试者组（认知正常受试者和具有轻度柔滑认知障碍（MCI）的受试者）。在第一阶段（第1年，方法开发）中，将优化两个内存范例。在此阶段的目标是建立一致的fMRI方法（范式和分析方法），该方法提供了通过自适应CCA（改进的CCA版本）测量的海马激活的可靠结果。数据收集和fMRI分析将在Stesia进行10位健康对照受试者进行。还将测量扣带回皮质中的激活。在第二阶段（第2年，临床应用）中，将扫描40名受试者：20名正常受试者和20名患有轻度认知障碍的受试者。将测量海马和边缘系统的其他区域的激活（例如扣带皮层）。自适应CCA的性能将与使用SPM2进行标准单变量分析进行比较。我们最初将重点放在小组分析上（即调查每个组之间的记忆激活差异），但是在后期，我们将探索单个标记并提供单个置信区间以表征记忆缺陷，这可能预测痴呆症的未来发展。