"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"

“大规模衰老研究中的MR形态计量学和认知下降率”

基本信息

批准号：
7469728
负责人：
OWEN T. CARMICHAEL
金额：
$ 9.22万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-15 至 2013-06-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): his objective of this Mentored Research Scientist Development Award application is to obtain the training and research experience required for me to become a productive independent researcher investigating relationships between neuroimaging-based markers of brain structure and late-life cognitive decline. The application builds on my computational training in image processing to position me as an effective member of a multidisciplinary team that will be able to apply state-of-the-art neuroimaging methods to research questions related to cognitive decline while effectively interfacing with psychologists, pathologists, and other scientists with complementary expertise. The career development plan strengthens my foundation in image processing and supplements it with focused training in medical image acquisition, statistics and epidemiology, neuroanatomy, and psychology to make me a knowledgeable user of research tools from each of those areas. Training will be acquired through a structured program of formal coursework, focused meetings with area mentors, colloquia and seminars, and attendance of research meetings at a local and national level. The research plan develops the methodology required for large-scale study of relationships between imaging-based brain structure measures and cognitive decline, and applies the methodology to cohorts from population-based studies and an academic dementia clinic. The specific aims are to 1) investigate relationships between automated imaging-based measures of lateral ventricle structure and subsequent cognitive decline, 2) relate the structure of the lateral ventricles to the structure of periventricular structures, and 3) apply the automated image processing methodology developedfor the first two aims to large population-based cohorts with longitudinal imaging and cognition measures to cross-validate findings. The research and career development outlined in this application will leverage my unique computational skills into an effective career as an independent investigator able to contribute neuroimaging perspectives to our evolving understanding of the biological basis of late-life cognitive decline.

描述（由申请人提供）：他的这一受过指导研究科学家发展奖的目标是获得我成为一名富有成效的独立研究人员所需的培训和研究经验，该研究人员研究了基于神经成像的大脑结构标记和晚期认知能力下降之间的关系。该应用程序建立在我在图像处理中的计算培训的基础上，使我成为多学科团队的有效成员，该团队将能够将最新的神经影像学方法应用于与认知下降有关的问题，同时有效地与心理学家，病理学家，病理学家和其他具有互补专业知识的科学家进行交往。职业发展计划增强了我在图像处理中的基础，并通过在医学图像获取，统计和流行病学，神经解剖学和心理学方面的重点培训来为其提供补充，使我成为每个领域的研究工具的知识渊博的用户。培训将通过正式课程，与区域导师，校长和研讨会的重点会议以及在当地和国家一级的研究会议的参加的结构化计划获得培训。该研究计划开发了大规模研究基于成像的大脑结构测量和认知能力下降之间关系所需的方法，并将方法应用于基于人群的研究和学术痴呆症诊所的同伙。具体目的是：1）研究基于自动成像的侧心室结构测量和随后的认知下降之间的关系，2）将侧心的结构与脑膜周期结构的结构相关联，以及3）应用自动图像处理方法，用于对第一两个基于人口的同类群体与较大的人群进行纵向和认知的衡量。本应用程序中概述的研究和职业发展将利用我的独特计算技能成为有效的职业，作为独立研究者，能够为我们对晚期认知下降的生物学基础的理解做出贡献的观点。