The human brain is the most complex object of study we encounter today. Mapping the neuronal-level connections between the more than 80 billion neurons in the brain is a hopeless task for science. By the recent advancement of magnetic resonance imaging (MRI), we are able to map the macroscopic connections between about 1000 brain areas. The MRI data acquisition and the subsequent algorithmic workflow contain several complex steps, where errors can occur. In the present contribution we describe and publish 1064 human connectomes, computed from the public release of the Human Connectome Project. Each connectome is available in 5 resolutions, with 83, 129, 234, 463 and 1015 anatomically labeled nodes. For error correction we follow an averaging and extreme value deleting strategy for each edge and for each connectome. The resulting 5320 braingraphs can be downloaded from the https://braingraph.org site. This dataset makes possible the access to this graphs for scientists unfamiliar with neuroimaging- and connectome-related tools: mathematicians, physicists and engineers can use their expertize and ideas in the analysis of the connections of the human brain. Brain scientists and computational neuroscientists also have a robust and large, multi-resolution set for connectomical studies.

人脑是我们今天遇到的最复杂的研究对象。绘制大脑中超过 800 亿个神经元之间的神经元级连接对科学来说是一项无望的任务。通过磁共振成像 (MRI) 的最新进展，我们能够绘制出大约 1000 个大脑区域之间的宏观联系。MRI 数据采集和随后的算法工作流程包含几个复杂的步骤，其中可能会出现错误。在目前的贡献中，我们描述并发布了 1064 个人类连接组，这些连接组是根据人类连接组项目的公开发布计算得出的。每个连接组有 5 种分辨率，具有 83、129、234、463 和 1015 个解剖标记节点。为了纠错，我们对每个边和每个连接组遵循平均和极值删除策略。生成的 5320 个脑图可以从 https://braingraph.org 网站下载。该数据集使不熟悉神经成像和连接组相关工具的科学家可以访问该图表：数学家、物理学家和工程师可以利用他们的专业知识和想法来分析人脑的连接。脑科学家和计算神经科学家也有一个强大的、大型的、多分辨率的用于连接组学研究的集合。