Department of Anatomy, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC, USA.
Neuroimage. 2014 Aug 15;97:374-86. doi: 10.1016/j.neuroimage.2014.04.001. Epub 2014 Apr 12.
Three-dimensional digital brain atlases represent an important new generation of neuroinformatics tools for understanding complex brain anatomy, assigning location to experimental data, and planning of experiments. We have acquired a microscopic resolution isotropic MRI and DTI atlasing template for the Sprague Dawley rat brain with 39 μm isotropic voxels for the MRI volume and 78 μm isotropic voxels for the DTI. Building on this template, we have delineated 76 major anatomical structures in the brain. Delineation criteria are provided for each structure. We have applied a spatial reference system based on internal brain landmarks according to the Waxholm Space standard, previously developed for the mouse brain, and furthermore connected this spatial reference system to the widely used stereotaxic coordinate system by identifying cranial sutures and related stereotaxic landmarks in the template using contrast given by the active staining technique applied to the tissue. With the release of the present atlasing template and anatomical delineations, we provide a new tool for spatial orientation analysis of neuroanatomical location, and planning and guidance of experimental procedures in the rat brain. The use of Waxholm Space and related infrastructures will connect the atlas to interoperable resources and services for multi-level data integration and analysis across reference spaces.
三维数字脑图谱代表了新一代神经信息学工具，可用于理解复杂的大脑解剖结构、为实验数据定位以及规划实验。我们已经获得了用于 Sprague Dawley 大鼠大脑的具有 39μm 各向同性体素的微观分辨率的 MRI 和 DTI 图谱模板，以及具有 78μm 各向同性体素的 DTI 图谱模板。在此模板的基础上，我们已经描绘了大脑中的 76 个主要解剖结构。每个结构都提供了描绘标准。我们根据 Waxholm 空间标准，应用了基于大脑内部标志物的空间参考系统，该系统先前已为小鼠大脑开发，并通过在模板中使用主动染色技术赋予的对比度来识别颅骨缝合线和相关的立体定向标志物，将该空间参考系统与广泛使用的立体定向坐标系连接起来。随着本图谱模板和解剖描绘的发布，我们为大鼠大脑的神经解剖位置的空间定向分析以及实验程序的规划和指导提供了一个新工具。Waxholm 空间和相关基础设施的使用将使图谱能够与跨参考空间的多水平数据集成和分析的可互操作资源和服务相连接。
