Structural MRI outcome predictors in MCI

MCI 的结构 MRI 结果预测因素

• 批准号: 6988319
• 负责人: LIANA G APOSTOLOVA
• 金额: $ 17.24万
• 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/6988319
• 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Paul B. B. Beeson职业发展奖的申请。轻度认知障碍（MCI）是一种具有多种病因，表现和结果的异质疾病。这项前瞻性研究将研究基线磁共振成像（MRI）标记是否可以预测MCI转化为阿尔茨海默氏病（AD）。我们提出，内hin骨/旁皮，下颞下扣，后扣带和前灰质萎缩，海马萎缩和侧心室肿大将与3年内转化为AD的转化率密切相关。我们将从已确定的可用回流中招募90名MCI受试者。他们将获得基线高质量的结构MRI扫描以及年度临床和神经心理学测试。提出的基于表面的最新算法，用于显式形态的显式匹配，将降低受试者间的可变性，并增加检测局部疾病效应的能力。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记。候选人Liana G. Apostolova，医学博士已经制定了一项综合研究/教育计划，该计划将导致结构和功能性神经影像学分析的先进知识。此外，她将在UCLA攻读临床研究学位的理学硕士学位，并在临床试验方法，生物统计学，临床药理学和以患者为导向的研究中进行结构化课程。这种多学科的培训将促进Apostolova博士的发展成为独立的研究衰老研究的独立研究者。这将使她能够开发一项R01提案，研究调整疾病改良治疗干预措施的影响，以开发AD，其中MRI标记是疾病效应的替代标志物。