A present-day atlas of the human brain Defining brain regions and demarking their spatial extent are important goals in neuroscience. A modern map of the brain's cellular structure, a cytoarchitectonic atlas, should provide maps of areas in three dimensions, integrate recent knowledge about brain parcellation, consider variations between individual brains, rely on reproducible workflows, and provide web-based links to other resources and databases. Amunts et al. created such an atlas based on serial histological sections of brain. They developed a computational framework and refined the current boundaries of the human brain based on cytoarchitectural patterns. This technique can easily be transferred to build brain atlases for other species or a spatial framework for other organs, other modalities, or multimodal maps for regions of interest at higher spatial scales. This research makes similar future attempts simultaneously reproducible and flexible. Science, this issue p. 988 A virtual human brain containing cytoarchitectonic maps of cortical areas and subcortical nuclei can help in the interpretation of neuroimaging. Cytoarchitecture is a basic principle of microstructural brain parcellation. We introduce Julich-Brain, a three-dimensional atlas containing cytoarchitectonic maps of cortical areas and subcortical nuclei. The atlas is probabilistic, which enables it to account for variations between individual brains. Building such an atlas was highly data- and labor-intensive and required the development of nested, interdependent workflows for detecting borders between brain areas, data processing, provenance tracking, and flexible execution of processing chains to handle large amounts of data at different spatial scales. Full cortical coverage was achieved by the inclusion of gap maps to complement cortical maps. The atlas is dynamic and will be adapted as mapping progresses; it is openly available to support neuroimaging studies as well as modeling and simulation; and it is interoperable, enabling connection to other atlases and resources.

中文翻译：

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Julich-Brain：人脑细胞结构的 3D 概率图谱

当今的人类大脑图谱 定义大脑区域并划分其空间范围是神经科学的重要目标。大脑细胞结构的现代地图，即细胞结构图谱，应该提供三个维度的区域地图，整合关于大脑分割的最新知识，考虑个体大脑之间的差异，依赖可重复的工作流程，并提供基于网络的其他资源和资源的链接。数据库。阿蒙茨等人。根据大脑的连续组织切片创建了这样一个图谱。他们开发了一个计算框架，并根据细胞结构模式改进了人脑的当前边界。这种技术可以很容易地转移到为其他物种构建大脑图谱或其他器官、其他方式的空间框架，或更高空间尺度上感兴趣区域的多模态地图。这项研究使类似的未来尝试同时具有可重复性和灵活性。科学，这个问题 p。988 包含皮层区域和皮层下核的细胞结构图的虚拟人脑有助于解释神经影像学。细胞结构是微结构大脑分割的基本原理。我们介绍了 Julich-Brain，一个包含皮层区域和皮层下核的细胞结构图谱的三维图谱。图集是概率性的，这使它能够解释个体大脑之间的差异。构建这样的地图集是高度数据和劳动密集型的，需要开发嵌套的、相互依赖的工作流程来检测大脑区域之间的边界、数据处理、来源跟踪、处理链的灵活执行，以处理不同空间尺度的大量数据。通过包含间隙图来补充皮层图，实现了完整的皮层覆盖。地图集是动态的，将随着制图的进展进行调整；它可公开用于支持神经影像学研究以及建模和模拟；它是可互操作的，可以连接到其他地图集和资源。