CEREBELLAR SYNDROMES: CLINICAL AND EXPERIMENTAL STUDY

小脑综合征：临床和实验研究

• 批准号: 7604729
• 负责人: SARAH H YING
• 金额: $ 0.06万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-12-01 至 2007-09-16
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7604729
• 关键词: Atlases; Biomedical Engineering; Cerebellar Diseases; Cerebellum; Clinical; Computer Retrieval of Information on Scientific Projects Database; Computers; Data; Databases; Depth; Descriptor; Disease; Drug Formulations; Engineering; Equipment; Funding; Genetic; Goals; Grant; Image Analysis; Institution; Measures; Methods; Neurology; Patients; Physiological; Positioning Attribute; Psychiatry; Radiology Specialty; Range; Research; Research Personnel; Resources; Source; Structure-Activity Relationship; United States National Institutes of Health; base; cohort; research study; tool

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. The eventual goal of our research is to incorporate structural and functional data from a broad range of disease entities into a multidimensional probabilistic atlas, a tool that we will validate as a surrogate measure of cerebellar function. This is essentially an anatomically oriented database incorporating clinical, genetic, and physiologic data as well as morphometric data. This framework is suited to inquiry in multiple functional domains, and our study is directed along three intersecting paths in order to validate descriptors that are both broad and deep. Here we present an integrated 7-year plan that will use an initial formulation of the atlas in carefully selected disease cohorts to answer longstanding questions of structure-function relationship in the cerebellum, then develop a method for automated image analysis that will enable widespread use of the atlas. This is a tremendous undertaking, but given the extensive equipment resources of the JHMI, the expertise and effort we have assembled from the Departments of Neurology, Psychiatry, Radiology, Biomedical Engineering, and Electrical and Computer Engineering, and our rich patient referral base, we are uniquely positioned to accomplish this task.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 我们研究的最终目标是将来自广泛疾病实体的结构和功能数据整合到多维概率图谱中，我们将验证该工具作为小脑功能的替代措施。这基本上是一个面向解剖学的数据库，包括临床、遗传和生理数据以及形态测量数据。这个框架是适合在多个功能域的查询，我们的研究是针对沿着三个相交的路径，以验证描述符，既广泛和深入。在这里，我们提出了一个综合的7年计划，将在精心选择的疾病队列中使用地图集的初始配方来回答小脑结构-功能关系的长期问题，然后开发一种自动图像分析方法，使地图集能够广泛使用。这是一项巨大的事业，但鉴于JHMI的广泛设备资源，我们从神经病学，精神病学，放射学，生物医学工程，电气和计算机工程等部门聚集的专业知识和努力，以及我们丰富的患者转诊基础，我们处于独特的位置来完成这项任务。