德国于利希研究中心Hartmut Mohlberg课题组在研究中取得进展。他们研发了一个人脑细胞结构的3D概率图集。 该研究于2020年7月31日发表于《科学》杂志。

研究人员研发了Julich-Brain，这是一个3D图集，其包含了皮质区域和皮质下核的细胞构建图。该图集从概率上囊括了各个大脑之间的差异。建立这样的图集需要大量的数据和劳动，并且需要开发嵌套的、相互依存的工作流程，以检测大脑区域之间的边界、数据处理，起源跟踪以及灵活地执行处理链以处理不同空间规模的大量数据。

间隙图补充皮质图以实现完整的皮质覆盖。该图集的概念是动态的，即随着制图的进展不断变化，可用于支持健康受试者和患者的神经影像研究、建模和仿真，并且可互操作以与其他图集和资源链接。

附：英文原文

Title: Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture

Author: Katrin Amunts, Hartmut Mohlberg, Sebastian Bludau, Karl Zilles

Issue&Volume: 2020/07/30

Abstract: Abstract Cytoarchitecture is a basic principle of microstructural brain parcellation. Here we introduce Julich-Brain, a 3D atlas containing cytoarchitectonic maps of cortical areas and subcortical nuclei. The atlas is probabilistic to consider variations between individual brains. Building such an atlas was highly data- and labor-intensive and required to develop 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. Gap maps complement cortical maps to achieve full cortical coverage. The atlas concept is dynamic, i.e., continuously adapted with progress in mapping, openly available to support neuroimaging studies of healthy subjects and patients, as well as modeling and simulation, and interoperable, to link with other atlases and recourses.

DOI: 10.1126/science.abb4588

Source: https://science.sciencemag.org/content/early/2020/07/29/science.abb4588