CONNECTIONS OF LIMBIC SYSTEM & HYPOTHALAMUS

边缘系统的连接

• 批准号: 6346405
• 负责人: LARRY W SWANSON
• 金额: $ 0.77万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2001-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6346405
• 关键词: Mammalia; bioimaging /biomedical imaging; biomedical resource; computers; magnetic resonance imaging; model design /development; nervous system; nuclear magnetic resonance spectroscopy; statistics /biometry

Our goal is to generate an easily accessible MR database of quantitative normal brain development in a species of non-human primate closely related to the human. We plan to define age specific normal ranges of intersubject variability for each developmental measure for use in future studies of abnormal brain development patterned after human neuroanatomic and psychobehavioral disease. We will integrate quantitative imaging knowledge of normal brain development with biochemical, histologic and behavioral data available in the same animal. Specific Aims: 1. Use a thin section. high resolution. coronal 3D volume SPGR sequence to noninvasively quantify structural changes in selected neural areas. Using computer assisted volumetric analysis and segmentation techniques we will measure the volume and visualize changes in brain shape which occur in specific cerebral structures of the developing vervet monky. 2. Use the information Inherent in the MR sequence above and from inversion recovery sequences to quantify regional myelinated white matter. Short TR, short TE sequences are sensitive to myelinated white matter and will be used in the same population using the same experimental design as in 1. above. 3. To validate specific aims 1. and 2. by performing a quantitative histologic study of age-matched cryomycrotomed vervet brain sections using a common anatomic coordinate system. The developing brain is composed of distinct processing regions, which mature in an organized sequential pattern. The pattern of growth and mvelination of major brain regions in the vervet monkey has not been described. Recently developed computer assisted segmentation protocols have improved quantitative structural analysis of both the human and primate brain. These approaches rely on intensity discrimination and edge detection The approaches assume a direct relationship between pixel intensity and physical substrate. A thin slice, short time to echo (TE), short time to repetition (TR), gradient recalled acquisition in the steady state (SPGR) sequence using a high field 3.OT magnet can provide a low noise, high resolution three dimensional data set for reconstruction of a variety of brain structures. This will allow longitudinal intra-subject evaluation of the rate and regional pattern of brain development as determined by volume changes in specific neural areas.

我们的目标是生成一个易于访问的MR数据库， 一种非人类物种的定量正常大脑发育 与人类关系密切的灵长类动物。 我们计划定义特定年龄 每个发育阶段受试者间变异性的正常范围 用于未来异常大脑发育研究的测量方法 模仿人类神经解剖学和心理行为疾病。 我们 将整合正常大脑的定量成像知识， 生物化学、组织学和行为学数据可用 在同一个动物。 具体目标： 1. 使用薄切片。 高分辨率。 冠状面三维体积SPGR 非侵入性定量选择的 神经区域 使用计算机辅助体积分析， 分割技术，我们将测量体积和可视化 大脑形状的变化，发生在特定的大脑结构， 发育中的黑长尾猴 2. 使用的信息固有的 MR序列上方和来自反转恢复序列的量化 局部有髓鞘的白色物质。 短TR，短TE序列是 对有髓鞘白色物质敏感， 使用与1相同的实验设计。 以上 3. 到 确认具体目标1. 和2. 通过执行定量 年龄匹配雪貂脑冷冻切片的组织学研究 使用一个普通的解剖学坐标系统。 发育中的大脑由不同的处理区域组成， 以有组织的顺序模式成熟。 增长模式和 黑长尾猴大脑主要区域的移动 介绍了 最近开发的计算机辅助分割 协议已经改善了定量结构分析， 人类和灵长类动物的大脑。 这些方法依赖于强度 歧视和边缘检测的方法假设直接 像素强度和物理基板之间的关系。 薄 切片、短回波时间（TE）、短重复时间（TR） 稳态梯度回忆采集（SPGR）序列 使用高磁场3.OT磁铁可以提供低噪音、高强度 分辨率三维数据集，用于各种 大脑结构。 这将允许纵向受试者内 评价大脑发育的速度和区域模式， 由特定神经区域的体积变化决定。