A MATURE BRAIN ARCHITECTURE KNOWLEDGE MANAGEMENT SYSTEM

成熟的大脑架构知识管理系统

• 批准号: 7724337
• 负责人: LARRY W SWANSON
• 金额: $ 0.26万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7724337
• 关键词: 3-Dimensional; Affect; Architecture; Atlases; Basic Science; Biological; Brain; Brain Part; Classification; Communities; Complex; Computer Graphics; Computer Retrieval of Information on Scientific Projects Database; Computers; Confusion; Data; Disease; Ensure; Funding; Gene Expression; Grant; Information Resources Management; Institution; Internet; Investigation; Literature; Mind; Modeling; Nervous system structure; Neuraxis; Neuroanatomy; Neurons; Neurosciences; Nomenclature; Ontology; Pattern; Protocols documentation; Rattus; Recording of previous events; Research; Research Personnel; Resources; Services; Source; Standards of Weights and Measures; Structure; System; Thinking; United States National Institutes of Health; Work; cell type; neuroinformatics; prototype; user-friendly

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.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 “神经系统可以被认为是一个非常复杂的生物计算机，其结构组织已经被分析了 2500 年。然而，尽管科学研究有着悠久的历史，但对于其基本部分到底是什么以及它们如何相互关联，仍然存在很大的困惑。 ，甚至这里提出的工作的长期目标是在网络上开发和实施一个成熟、强大、用户友好的神经信息学工作台，使神经科学界能够访问、评估和可视化神经解剖学。文学这个。大脑架构知识管理系统（BAMS）将促进对影响大脑和精神的所有疾病的原因和治疗的基础研究，其原型已经在网上提供，它有四个基本模块：大脑部分命名法、部分之间的关​​系。根据不同的命名法、神经元细胞类型以及区域和细胞类型之间的连接，拟议的工作有四个具体目标，以增强或实现以下 BAMS 组件。 1）命名本体论：将实现哺乳动物神经系统基本结构划分的系统性全局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允许对命名法内和命名法之间的部件进行比较。这项工作摆脱了对单一“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：此功能允许用户分别获得物种之间或物种内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、平面图、地图集级别和 3D 计算机图形模型中的连接数据。 4) Web 服务协议：它们将允许 BAMS 与包含有关神经元细胞类型、基因表达模式等信息的其他网站进行交互。项目顾问委员会将有助于确保神经科学界的参与。