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"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）：他的这个指导研究科学家发展奖申请的目标是获得所需的培训和研究经验，使我成为一个富有成效的独立研究人员，调查基于神经成像的大脑结构标志物和晚年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方面的计算培训的基础上，使我成为多学科团队的有效成员，该团队将能够应用最先进的神经成像方法来研究与认知衰退相关的问题，同时有效地与心理学家、病理学家互动。和其他具有互补专业知识的科学家。职业发展计划加强了我在图像处理方面的基础，并补充了医学图像采集，统计学和流行病学，神经解剖学和心理学方面的重点培训，使我成为每个领域研究工具的知识渊博的用户。培训将通过正式课程作业的结构化计划、与地区导师的重点会议、座谈会和研讨会以及参加地方和国家层面的研究会议来获得。该研究计划开发了大规模研究基于成像的大脑结构测量与认知能力下降之间关系所需的方法，并将该方法应用于基于人群的研究和学术痴呆症诊所的队列。具体目标是：1）研究基于自动成像的侧脑室结构测量与随后的认知下降之间的关系，2）将侧脑室结构与脑室周围结构的结构联系起来，3）将为前两个目标开发的自动图像处理方法应用于具有纵向成像和认知测量的大型人群队列，以交叉验证结果。本申请中概述的研究和职业发展将利用我独特的计算技能成为一名独立调查员，能够为我们对晚年认知能力下降的生物学基础的不断发展的理解做出神经影像学方面的贡献。