A MATURE BRAIN ARCHITECTURE KNOWLEDGE MANAGEMENT SYSTEM

成熟的大脑架构知识管理系统

• 批准号: 7369432
• 负责人: LARRY W SWANSON
• 金额: $ 0.51万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7369432
• 关键词: MATURE; BRAIN; ARCHITECTURE; KNOWLEDGE; MANAGEMENT

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 nervous system can be thought of as a very complex biological computer whose structural organization has been analyzed for 2,500 years. Yet despite this long history of scientific investigation a great deal of confusion remains about what its basic parts actually are, how they are interconnected, and even what to call them. The long-term objectives of the work proposed here are to develop and implement a mature, robust, user-friendly neuroinformatics workbench on the Web that allows the neuroscience community to access, evaluate, and visualize the neuroanatomical literature. This Brain Architecture Knowledge Management System (BAMS) will facilitate basic research into the cause and treatment of all diseases that affect the brain and mind. A prototype is already available on the Web , and it has four basic modules: brain part Nomenclatures, Relations between parts from different nomenclatures, neuronal Cell Types, and Connections between regions and cell types. The proposed work has four Specific Aims, to enhance or implement the following BAMS components. 1) Nomenclature ontology: a systematic, global ontology for the basic structural divisions of the mammalian nervous system, along with one for the rat central nervous system will be implemented. This neuroanatomy ontology allows comparisons of parts within and between nomenclatures. This work departs from the bias toward a single ""standard"" brain nomenclature and allows users to determine the meaning of terms used in the literature by particular authors. 2) Homologies: this function allows users to obtain similarity or identity estimates about structures between or within a species, respectively. 3) Networks: this functionality will allow users to view connectional data in schematics, and on flatmaps, atlas levels, and 3-D computer graphics models. 4) Web services protocols: they will allow BAMS to interact with other websites that contain information about neuronal cell types, gene expression patterns, and so on. A project Board of Advisors will help ensure neuroscience community involvement

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。神经系统可以被认为是一台非常复杂的生物计算机，它的结构组织已经被分析了2500年。然而，尽管科学研究有很长的历史，但对于它的基本部分到底是什么，它们是如何相互联系的，甚至如何称呼它们，仍然存在着巨大的困惑。这项工作的长期目标是在网络上开发和实现一个成熟的、健壮的、用户友好的神经信息学工作台，允许神经科学界访问、评估和可视化神经解剖学文献。这一大脑架构知识管理系统(BAMS)将促进对所有影响大脑和精神的疾病的病因和治疗的基础研究。网络上已经有了一个原型，它有四个基本模块：大脑部分命名，不同命名部分之间的关系，神经元细胞类型，以及区域和细胞类型之间的联系。拟议的工作有四个具体目标，以加强或实施以下BAMS组成部分。1)命名本体论：将实施哺乳动物神经系统基本结构划分的系统的全球本体论，以及大鼠中枢神经系统的本体论。这种神经解剖学本体论允许对命名法内部和之间的部分进行比较。这项工作偏离了对单一的“标准”大脑命名法的偏见，并允许用户确定特定作者在文献中使用的术语的含义。2)同源性：该功能允许用户分别获得关于物种之间或物种内部结构的相似性或同一性估计。3)网络：此功能将允许用户查看原理图、平面地图、地图集级别和3-D计算机图形模型中的连接数据。4)网络服务协议：它们将允许BAMS与其他网站互动，这些网站包含有关神经细胞类型、基因表达模式等信息。项目顾问委员会将帮助确保神经科学界的参与