STRUCTURAL MRI OUTCOME PREDICTORS IN MCI

MCI 中的结构性 MRI 结果预测因素

• 批准号: 8171052
• 负责人: LIANA G APOSTOLOVA
• 金额: $ 0.61万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171052
• 关键词: Algorithms; Alzheimer' s Disease; Arts; Atrophic; Clinical; Computer Retrieval of Information on Scientific Projects Database; Etiology; Funding; Goals; Grant; Image; Inferior; Institution; Lateral; Localized Disease; Magnetism; Methods; Morphology; Neuropsychological Tests; Outcome; Patient Selection; Prospective Studies; Recruitment Activity; Research; Research Personnel; Resources; Scanning; Source; Surface; Surrogate Markers; United States National Institutes of Health; base; gray matter; hippocampal atrophy; lateral ventricle; mild neurocognitive impairment

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Mild cognitive impairment (MCI) is a heterogeneous condition with multiple etiologies, presentations, and outcomes. This prospective study will investigate whether baseline magnetic resonace imaging (MRI) markers can predict conversion of MCI to Alzheimer disease (AD). We propose that entorhinal/parahippocampal, inferior and lateral temporal, posterior cingulate and precuneal gray matter atrophy, hippocampal atrophy and lateral ventricle enlargement will strongly correlate with conversion to AD within 3 years. We will recruit 90 MCI subjects from identified available recources. They will receive a baseline high-quality structural MRI scan and yearly clinical and neuropsychological testing. The proposed state-of-the-art surface-based algorithms for explicit matching of corresponding morphology will reduce intersubject variability, and increase the power to detect localized disease effects. The long-term goal of this project is to influence the methods of trial planning and patient selection, and to establish a powerful surrogate marker for MCI therepeutic trials.

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 轻度认知障碍(MCI)是一种具有多种病因、表现和结果的异质性疾病。这项前瞻性研究将调查基线磁共振成像(MRI)标志物是否可以预测MCI转变为阿尔茨海默病(AD)。我们认为，内嗅觉/海马旁、颞下和外侧、扣带后和楔前灰质萎缩、海马萎缩和侧脑室扩大将在3年内与AD的转归密切相关。我们将从确定的可用资源中招募90名MCI受试者。他们将接受基线的高质量结构磁共振扫描，以及每年的临床和神经心理测试。提出的最先进的基于表面的相应形态的显式匹配算法将减少主题间的可变性，并增加检测局部疾病影响的能力。该项目的长期目标是影响试验计划和患者选择的方法，并为MCI临床试验建立一个强大的替代标记。