Database for the Analysis of Neuronal Structure and Function

神经元结构和功能分析数据库

• 批准号: 9808738
• 负责人: Gwen Jacobs
• 金额: $ 99.3万
• 依托单位: Montana State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-10-01 至 2002-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9808738&HistoricalAwards=false
• 关键词: Database; Analysis; Neuronal; Structure; Function

AbstractDBI 9808738; Jacobs, Gwen; Montana State UniversityNeuroSys is a prototype database developed under prior NSF funding which contains information about the anatomy and functional attributes of neurons. NeuroSys also contains information about measured and hypothetical relations between neurons. In addition an advanced visualization program for dynamic synthesis and animation of ensemble activity patterns has been integrated into this database environment. Finally, an advanced neural simulation program has also been integrated with this environment. Through the use of these advanced query and analysis tools, it is now possible to formulate queries which predict dynamic activity patterns of large neuronal ensembles across multiple processing stages within an animal's nervous system. These features elevate the utility of the database far beyond that of a sophisticated data repository, and provide an enabling tool for the formulation of hypotheses related to neural computation, plasticity and development. The general goals of this work are to extend the capabilities, transportability and general utility of this prototype system, and to distribute this system to all interested researchers in the neuroscience community. Specific aims are as follows:Ñ The functionality of the graphical user interface and its links to data analysis programs will be enhanced by modification of the architecture to accommodate distributed data and new software tools more effectively, and to allow users to conduct complex queries without affecting the data of other users. Ñ The data acquisition, analysis and query tools will be enhanced to accommodate several new data types, including a) Voxel-based representations of individual neurons and/or objects as density clouds derived from confocal microscope images, b) time-series data generated from single and multi-electrode recordings, and c) surface-rendered and vol-ume-rendered structures derived from microscope images of objects traced from sec-tioned tissue samples. Ñ A link will be created between the database/workspace environment and three popular neural modeling programs.Ñ New software tools will be implemented to facilitate the configuration of the system for other users. Those tools will include a program to generate and customize the query interface/GUI, and a program to generate database tables from a set of user-defined inputsÑ The user base will be extended to the general neuroscience research community. As part of this process, the system will be validated through a beta test program, the stabil-ity and transportability of the tools across several hardware and software platforms will be increased, and an interface will be developed for web-based access and data entry. Ñ The current multi-disciplinary training environment for bioinformatics at Montana State University will be supported and extended, through directed and independent research projects based on aspects of the project. A set of coursework modules will then beÑ developed for classroom use via a Java-based web interface to the database and tools. These modules will be used in a number of courses locally, and will be made available to the general public via the web.This project will be carried out as a coordinated effort between two sets of neuroscience and computer science researchers: one group at MSU and the other group at UCSD. This project is a core component in the NPACI Neuroscience Thrust Area, and will leverage on a wealth of technical expertise and computer resources at the San Diego center.

摘要DBI 9808738; Jacobs，Gwen; Montana State UniversityNeuroSys是一个原型数据库，它是在先前的NSF资助下开发的，包含有关神经元的解剖和功能属性的信息。NeuroSys还包含有关神经元之间的测量和假设关系的信息。此外，一个先进的可视化程序的动态合成和动画的合奏活动模式已被集成到这个数据库环境。最后，一个先进的神经模拟程序也被集成到这个环境中。通过使用这些先进的查询和分析工具，现在可以制定查询，预测动物神经系统内多个处理阶段的大型神经元集合的动态活动模式。这些功能提升了数据库的效用远远超出了一个复杂的数据库，并提供了一个使能工具，制定有关神经计算，可塑性和发展的假设。这项工作的总体目标是扩展该原型系统的功能、可移植性和通用性，并将该系统分发给神经科学界所有感兴趣的研究人员。具体目标如下：图形用户界面的功能及其与数据分析程序的链接将通过修改结构得到加强，以更有效地容纳分布式数据和新的软件工具，并使用户能够进行复杂的查询而不影响其他用户的数据。数据采集、分析和查询工具将得到增强，以适应几种新的数据类型，包括a）将单个神经元和/或物体表示为来自共聚焦显微镜图像的密度云，B）从单电极和多电极记录生成的时间序列数据，以及c）从切片组织样本追踪的物体显微镜图像中导出的表面渲染和体积渲染结构。将在数据库/工作区环境与三个流行的神经模拟程序之间建立联系。将采用新的软件工具，以方便其他用户配置系统。这些工具将包括一个程序来生成和定制的查询界面/GUI，和一个程序来生成数据库表，从一组用户定义的输入数据库的用户基础将扩展到一般的神经科学研究社区。作为这一进程的一部分，将通过一个beta测试程序对该系统进行验证，将提高这些工具在若干硬件和软件平台上的稳定性和可移植性，并将开发一个接口，用于网络访问和数据输入。- 蒙大拿州立大学当前的生物信息学多学科培训环境将通过基于该项目各方面的指导和独立研究项目得到支持和扩展。然后，将通过一个基于Java的数据库和工具的网络界面，为课堂使用开发一套课程模块。这些模块将在当地的一些课程中使用，并将通过网络向公众提供。该项目将作为两组神经科学和计算机科学研究人员之间的协调努力进行：一组在密歇根州立大学，另一组在加州大学圣地亚哥分校。该项目是NPACI神经科学推进领域的核心组成部分，将利用圣地亚哥中心丰富的技术专长和计算机资源。