Structural MRI outcome predictors in MCI

MCI 的结构 MRI 结果预测因素

• 批准号: 7111063
• 负责人: LIANA G APOSTOLOVA
• 金额: $ 17.28万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7111063
• 关键词: Alzheimer' s disease; atrophy; bioimaging /biomedical imaging; brain imaging /visualization /scanning; brain morphology; cerebral ventricles; cingulate gyrus; clinical research; cognition disorders; disease /disorder proneness /risk; entorhinal cortex; gray matter; hippocampus; human subject; longitudinal human study; magnetic resonance imaging; neuropsychological tests; patient oriented research; temporal lobe /cortex

DESCRIPTION (provided by applicant): This is an application for the Paul B. Beeson Career Development Award in Aging. 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 recourses. 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 inter-subject 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 therapeutic trials. The candidate, Liana G. Apostolova, M.D., has developed an integrated research/educational plan that will lead to advanced knowledge in structural and functional neuroimaging analysis. In addition, she will pursue a Master of Science in Clinical Research degree at UCLA with structured course work in clinical trial methodology, biostatistics, clinical pharmacology and ethics of patient-oriented research. This multidisciplinary training will facilitate Dr. Apostolova's development into an independent investigator in patient-oriented research in aging. It will allow her to develop an R01 proposal investigating the effects of disease-modifying therapeutic interventions in a selected high-risk MCI cohort predestined to develop AD where MRI markers serve as surrogate marker of disease effect.

描述（由申请人提供）：这是保罗·B·比森老龄化职业发展奖的申请。轻度认知障碍 (MCI) 是一种异质性疾病，具有多种病因、表现和结果。这项前瞻性研究将调查基线磁共振成像 (MRI) 标记是否可以预测 MCI 向阿尔茨海默病 (AD) 的转化。我们认为，内嗅/海马旁、颞下和外侧、后扣带回和楔前灰质萎缩、海马萎缩和侧脑室扩大与 3 年内转变为 AD 密切相关。我们将从已确定的可用资源中招募 90 名 MCI 受试者。他们将接受基线高质量结构 MRI 扫描以及每年的临床和神经心理学测试。所提出的最先进的基于表面的算法用于相应形态的显式匹配将减少受试者间的变异性，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 治疗试验建立强大的替代标志物。候选人 Liana G. Apostolova 医学博士制定了一项综合研究/教育计划，该计划将带来结构和功能神经影像分析方面的高级知识。此外，她还将在加州大学洛杉矶分校攻读临床研究理学硕士学位，课程内容包括临床试验方法、生物统计学、临床药理学和以患者为导向的研究伦理学。这种多学科培训将有助于阿波斯托洛娃博士发展成为以患者为导向的衰老研究的独立研究者。这将使她能够制定一项 R01 提案，调查疾病缓解治疗干预措施对选定的注定会发展为 AD 的高风险 MCI 队列的影响，其中 MRI 标记作为疾病效果的替代标记。