SenseLab: Integration of Multidisciplinary Sensory Data

SenseLab：多学科感官数据整合

• 批准号: 7870411
• 负责人: GORDON SHEPHERD
• 金额: $ 66.98万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7870411
• 关键词: Accounting; Alzheimer' s Disease; Animal Model; Base of the Brain; Biological Models; Brain; Brain imaging; Brain region; Budgets; Cells; Cognition; Cognitive; Communities; Computer Analysis; Computer Simulation; Computing Methodologies; Cortical Column; Critiques; Data; Data Analyses; Databases; Dendrites; Development; Distributed Systems; Environment; Family; Future; Genome; Goals; Grant; Impaired cognition; Indium; Individual; International; Laboratories; Lateral; Maps; Mediating; Medical Informatics; Methods; Modeling; Molecular; Nature; Nerve; Nervous system structure; Neurodegenerative Disorders; Neurons; Neurosciences; Neurosciences Research; Odors; Pathogenesis; Perception; Pharmacology; Pilot Projects; Population Database; Process; Program Research Project Grants; Property; Research; Research Project Grants; Resources; Senile Plaques; Sensory; Signal Transduction; Site; Smell Perception; Switzerland; Synapses; System; Testing; Work; base; cognitive function; computer studies; computerized data processing; information framework; insight; interoperability; meetings; multidisciplinary; nervous system disorder; neuroinformatics; novel; olfactory bulb; olfactory receptor; public health relevance; relating to nervous system; research study; scale up; simulation; two-dimensional

DESCRIPTION (provided by applicant): The SenseLab suite of 8 interoperable databases is aimed at supporting our research on a model system for brain organization, the olfactory bulb, and at sharing these and related resources with the neuroscience and neuroinformatics communities. During the past 5 years a Program Project grant has enabled us to begin to move from the synaptic and cell levels to the microcircuit level, and in this R01 grant we will build directly on this work. First, we will continue development of our most heavily used databases - NeuronDB and ModelDB - for the analysis of dendritic signal integration, and ORDB, supporting work on olfactory receptors, the largest family in the genome. We will continue to participate in the Neuroscience Database Gateway, the Neuroscience Information Framework, and the International Neuroinformatics Coordinating Facility. We will continue to demonstrate how databases support neuroscience research with two new research projects to develop computational models that give insight into experimental data. One project is to deepen insight into our recent experimental evidence from transsynaptic tracing for widely distributed cell columns, which we hypothesize are involved in processing odor maps. We will analyze this data and use it to refine first a reduced microcircuit in which the glomerular cell columns respond to the excitatory input from the odor maps and process it through distance-independent lateral inhibition between glomerular columns. With continual testing by the experimental data, we will scale up the model to 100 columns, then to 2,000, to characterize the global processing of odor maps to an extent not possible with experimental methods. This work will be carried out as a pilot project in parallel with the Blue Brain Project in Switzerland on realistically-based large- scale cortical networks. A new database, MicrocircuitDB, will be developed to support this and related studies of microcircuit organization. A second new project will extend our computational analysis of energy demands in the olfactory glomerulus to the lateral inhibitory interactions, to provide a more thorough understanding of the energy demands of the microcircuits that process odor maps. A new database project is to apply NeuronDB and ModelDB to analyzing the impact of the early pathogenesis of neurodegenerative disorders on dendritic signal integration. For this purpose we are developing a new database, Brain Pharmacology (BrainPharm). All of this work will benefit from continued support and development by the Yale Center for Medical Informatics, and by the NEURON simulation environment team. PUBLIC HEALTH RELEVANCE: There is a critical need to understand how signals are processed in nerve cells and nerve circuits as a basis for brain function. We attempt to enhance this effort through a system of interrelated databases of experimental data and computer models. The new projects should give a deeper understanding of both normal brain function and neurological disorders such as Alzheimer's disease

描述(由申请人提供)：SenseLab的8个可互操作的数据库套件旨在支持我们对大脑组织模型系统--嗅球的研究，并与神经科学和神经信息学社区共享这些资源和相关资源。在过去的5年里，一项计划项目拨款使我们能够开始从突触和细胞层面进入微电路层面，在这份R01拨款中，我们将直接建立在这项工作的基础上。首先，我们将继续开发我们最常用的数据库-NeuronDB和ModelDB-用于树突状信号整合的分析，以及ORDB，支持基因组中最大的家族嗅觉受体的工作。我们将继续参与神经科学数据库门户、神经科学信息框架和国际神经信息学协调机制。我们将继续通过两个新的研究项目来展示数据库如何支持神经科学研究，以开发能够洞察实验数据的计算模型。一个项目是加深对我们最近通过跨突触追踪广泛分布的细胞柱的实验证据的洞察，我们假设这些细胞柱参与了气味映射的处理。我们将分析这些数据，并使用它来首先提炼一个简化的微电路，其中肾小球细胞柱对气味映射的兴奋性输入做出反应，并通过肾小球柱之间与距离无关的侧向抑制来处理它。随着实验数据的不断测试，我们将把模型放大到100列，然后扩大到2,000列，以表征气味地图的全局处理，这是实验方法无法实现的。这项工作将作为一个试点项目，与瑞士的蓝脑项目并行进行，以实际为基础的大规模大脑皮层网络。将开发一个新的数据库--微电路数据库，以支持这一工作和对微电路组织的相关研究。第二个新项目将把我们对嗅球能量需求的计算分析扩展到侧向抑制相互作用，以更彻底地了解处理气味映射的微电路的能量需求。一个新的数据库项目是应用NeuronDB和ModelDB来分析神经退行性疾病的早期发病机制对树突状信号整合的影响。为此，我们正在开发一个新的数据库--脑药理学(BrainPharm)。所有这些工作都将受益于耶鲁医学信息学中心和神经元模拟环境团队的持续支持和开发。公共卫生相关性：迫切需要了解信号是如何在神经细胞和神经回路中处理的，以此作为大脑功能的基础。我们试图通过实验数据和计算机模型的相互关联的数据库系统来加强这一努力。新的项目应该会对正常的大脑功能和阿尔茨海默病等神经疾病有更深入的了解