A Mature Brain Architecture Knowledge Management System

神经系统可以被认为是一个非常复杂的生物计算机，其结构组织已经分析了2,500年。然而，尽管科学研究有着悠久的历史，但关于它的基本组成部分实际上是什么，它们是如何相互联系的，甚至如何称呼它们，仍然存在大量的混乱。这里提出的工作的长期目标是开发和实施一个成熟的，强大的，用户友好的神经信息学工作台在网络上，允许神经科学界访问，评估和可视化的神经解剖学文献。这个大脑结构知识管理系统（BAMS）将促进对影响大脑和精神的所有疾病的病因和治疗的基础研究。一个原型已经可以在网上找到<http:llbrancusi.usc.edulbkmsl>， 它有四个基本模块：大脑部分命名，不同命名的部分之间的关系，神经元细胞类型，以及区域和细胞类型之间的连接。拟议的工作有四个具体目标，以加强或实施以下BAMS组件。1)名词本体：将实现用于哺乳动物神经系统的基本结构划分的系统的、全局的本体，沿着用于大鼠中枢神经系统的本体。这种神经解剖学本体论允许在命名法内和命名法之间进行部分比较。这项工作偏离了对单一“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：该功能将允许用户在示意图、平面图、地图集级别和3D计算机图形模型中查看连接数据。4)Web服务协议：他们将允许BAMS与其他网站进行交互，这些网站包含有关神经元细胞类型、基因表达模式等信息。 参与。

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 <http:llbrancusi.usc.edulbkmsl>, 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.