MSM--Multiscale Imaging, Analysis, and Integration of Brain Networks

MSM--脑网络的多尺度成像、分析和集成

• 批准号: 7237161
• 负责人: YOONSUCK CHOE
• 金额: $ 29.74万
• 依托单位: TEXAS ENGINEERING EXPERIMENT STATION
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7237161
• 关键词: Algorithms; Architecture; Area; Atlases; Axon; Brain; Brain Stem; Brain region; Caliber; Cerebral cortex; Cerebrum; Chromosome Pairing; Complex; Computer software; Data; Data Set; Databases; Dendrites; Development; Disease; Educational Curriculum; Electron Microscope; Elements; Epilepsy; Extensible Markup Language; Face; General Population; Generations; Golgi Apparatus; Green Fluorescent Proteins; Hour; Human; Image; Image Analysis; Individual; Internet; Letters; Maps; Measurement; Methods; Microscope; Modeling; Morphology; Mus; Neurons; Neuropil; Neurosciences; Numbers; Online Systems; Pattern; Purpose; Rate; Recruitment Activity; Research; Research Infrastructure; Resolution; Resources; Retrieval; Sampling; Scanning; Scientist; Series; Software Tools; Source; Spatial Distribution; Staining method; Stains; Standards of Weights and Measures; Synapses; Techniques; Texas; Three-Dimensional Image; Three-Dimensional Imaging; Time; Tissue Stains; Transgenic Mice; Universities; base; data acquisition; image processing; image reconstruction; light microscopy; nanoscale; nervous system disorder; neural circuit; neural information processing; neuronal cell body; next generation; polymerization; postsynaptic; presynaptic; protein expression; reconstruction; size; teacher; tissue preparation; tool

Detailed network connectivity maps do not exist at present for any mammalian brain circuit. This project will provide the first empirical map of mouse brain network connectivity, focusing on the individual cerebral cortical microcolumn (as determined by Serial Block Face Scanning Electron Microscope; SBF-SEM), and on the entire mouse cortex by integrating light microscopy data (from our Knife-Edge Scanning Microscope; KESM) with that of the SBF-SEM. The project will chart brain networks in the mouse at multiple scales of spatial resolution, and develop interfaces between these levels of description. The combined use of large-scale 3D microscopes, SBF-SEM and KESM, together with automated image analysis and reconstruction methods, will open the internal connectivity of brains of all species to measurement and modeling of brain architecture at a neuronal and subneuronal level of detail. The project will recruit mouse brain data from three sources at three scales: nanoscale (from SBF-SEM, Stanford University); microscale (from KESM, Texas A&M University); and macroscale (from the Mouse Atlas Project, UCLA). A key objective of this project is to develop seamless interfaces across the three levels. Staining, imaging, image processing, and reconstruction methods will be developed to interoperate across these multiple levels. At nanoscale: Stanford is developing high-contrast heavy-element staining methods to be used with a new, automated SBF-SEM for tracing small and tightly packed axons and dendrites over the entire volume of a functional microcircuit. At microscale: We will use the KESM to scan the mouse brain at 300 nm resolution and create an aligned volume data set of select cortical areas. For these two levels, a common heavy element stain will be used. The KESM, in turn, can image conventionally stained tissue to compare to the pre-existing UCLA 3D mouse brain atlas (MAP). The data will be cast into the Mouse Brain Web (MBW), a web-based representation of the mouse brain network which will make possible multi-scale integration of circuitry information across these levels. The availability of such multi-scale information for the mouse will be strongly beneficial to our understanding of human brain function and development. Such information will also contribute to discovering better treatment of disorders, such as epilepsy, and potential regenerative abilities. Data from this project will be made public, along with the software for its integrative storage, retrieval, and analysis.

目前，对于任何哺乳动物脑电路，目前都不存在详细的网络连通图。该项目将提供小鼠脑网络连接性的第一张经验图，重点是单个脑皮质微型船上（由串行块面扫描电子显微镜； SBF-SEM确定），以及通过整合光显微镜数据（根据我们的刀具 - 边缘扫描显微镜; kesm; kesm; KESM）来确定整个小鼠皮层。该项目将以空间分辨率的多个尺度绘制鼠标中的大脑网络，并在这些描述级别之间发展界面。大规模3D显微镜，SBF-SEM和KESM的联合使用以及自动图像分析和重建方法将在神经元和亚神经元的细节水平上开放所有物种的大脑内部连接，以测量和建模脑结构。该项目将从三个量表中招募三个来源的小鼠脑数据：纳米级（来自斯坦福大学SBF-SEM）；微观（来自得克萨斯州A＆M大学KESM）；和MacRoscale（来自UCLA的Mouse Atlas Project）。该项目的关键目的是在三个级别上开发无缝接口。将开发染色，成像，图像处理和重建方法，以跨这些多个级别进行互操作。在纳米级：斯坦福大学正在开发高对比度的重元素染色方法，该方法可与新型自动化的SBF-SEM一起使用，用于在功能性微电路的整个体积上追踪小而紧密的轴突和树突。在Microscale：我们将使用KESM以300 nm的分辨率扫描鼠标大脑并创建一个 精选皮质区域的对齐体积数据集。对于这两个级别，将使用一个常见的重元素污渍。反过来，KESM可以图像传统的染色组织，以与现有的UCLA 3D小鼠脑图（MAP）相比。数据将被施加到鼠标脑网（MBW）中，这是鼠标脑网络的基于Web的表示形式，该表示将使这些级别的电路信息的多尺度集成。这种多尺度信息的小鼠可用性将对我们对人脑功能和发育的理解非常有益。这些信息还将有助于发现疾病的更好治疗，例如癫痫和潜在的再生能力。该项目的数据将公开，以及用于集成存储，检索和分析的软件。