Ultra-high Resolution Structural Connectome Atlases of the Animal Brain and their Associated Toolbox

动物大脑的超高分辨率结构连接图谱及其相关工具箱

基本信息

批准号：
10558629
负责人：
FANG-CHENG YEH
金额：
$ 57.08万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-02-15 至 2026-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10558629
关键词：
3-Dimensional Acceleration Affect Animal Model Animals Atlases Axon Brain Brain Diseases Brain Mapping Cells Compensation Data Diffusion Diffusion Magnetic Resonance Imaging Disease Fiber Fluorescence Microscopy Functional disorder Goals Histology Image Immunohistochemistry Injections Label Light Macaca Macaca mulatta Magnetic Resonance Imaging Maps Methods Microscopic Microscopy Mus Neuroanatomy Neurons Optics Pathway Analysis Pathway interactions Primates Process Protocols documentation Rattus Resolution Rhesus Sampling Scanning Site Specimen Structure Testing Time Tissues Tracer Universities Validation analysis pipeline analytical tool animal resource brain pathway brain tissue connectome experimental study histological image in vivo meter microscopic imaging multidisciplinary nervous system disorder novel polarized light reconstruction repository shape analysis tool tractography ultra high resolution white matter

项目摘要

PROJECT SUMMARY A structural connectome can provide critical information for animal brain studies to study white matter bundles and correlate brain circuits with experimental findings. As more animal models for neurological disorders are widely used to understand the disease mechanism and test possible treatments, tractography atlases will help those studies to correlate white matter pathways with brain function or dysfunction. Here, we aim to construct tractography atlases at unprecedented details as structural connectome for mouse, rat, and rhesus macaque and developed associated toolboxes for novel tractography analytics. To achieve this goal, we have formed a multidisciplinary team between Duke Center for In Vivo Microscopy and the "DSI Studio" team at the University of Pittsburgh. At Duke CIVM, we will acquire the ultra-high resolution "beyond-tensor" diffusion MRI on the mouse, rat, and rhesus macaque brains to resolve complicated axonal structures. The image acquisition will be accelerated using compressed sensing and further reconstructed using a super-resolution approach. Besides MRI, the rat and mouse brain tissue will be processed by tissue clearing and scanned by light-sheet fluorescence microscopy to capture cell-level histology details of the entire brain. The diffusion MRI data will then be processed at the University of Pittsburgh to construct tractography atlases and develop novel automated tractography, shape analysis, and bundle analytics toolboxes. We will track whole-brain pathways and cluster them into bundles. Our neuroanatomist team will validate tractography against publicly available tracer data and aggregate the results in tractography atlases, which will be used to build their associated atlas- based automated tractography and associated analysis. The completion of this study will provide a mesoscale structural connectome with integrated histologic images at unprecedented quality as well as their associated toolboxes. The data and tools combined will serve as invaluable resources for animal studies to investigate brain disorders.

项目概要结构连接组可以为动物大脑研究白质束提供关键信息并将大脑回路与实验结果联系起来。随着越来越多的神经系统疾病动物模型的出现纤维束成像图谱广泛用于了解疾病机制和测试可能的治疗方法，将有所帮助这些研究将白质通路与大脑功能或功能障碍相关联。在这里，我们的目标是构建作为小鼠、大鼠和恒河猴的结构连接组，纤维束成像图谱具有前所未有的细节并开发了用于新颖纤维束成像分析的相关工具箱。为了实现这一目标，我们成立了杜克体内显微镜中心和大学“DSI Studio”团队之间的多学科团队匹兹堡。在杜克 CIVM，我们将获得超高分辨率“超越张量”扩散 MRI 小鼠、大鼠和恒河猴大脑解析复杂的轴突结构。图像采集将是使用压缩感知加速并使用超分辨率方法进一步重建。除了 MRI，将大鼠和小鼠的脑组织进行组织透明化处理并进行光片扫描荧光显微镜捕捉整个大脑的细胞水平组织学细节。扩散 MRI 数据将然后在匹兹堡大学进行处理，构建纤维束成像地图集并开发新颖的自动纤维束成像、形状分析和束分析工具箱。我们将追踪全脑通路并将它们聚集成束。我们的神经解剖学家团队将根据公开的信息来验证纤维束成像示踪剂数据并将结果汇总到纤维束成像地图集中，这将用于构建相关的地图集基于自动纤维束成像和相关分析。这项研究的完成将提供中尺度具有前所未有的质量的集成组织学图像的结构连接组及其相关工具箱。数据和工具相结合将成为动物研究的宝贵资源脑部疾病。