论文标题
Braingraph.org数据库，具有1000多个可靠的人类结构连接组中的五个分辨率
The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions
论文作者
论文摘要
人的大脑是我们今天遇到的最复杂的研究对象。绘制大脑中800亿多个神经元之间的神经元水平的联系是科学无望的任务。通过磁共振成像（MRI）的最新进展，我们能够绘制约1000个大脑区域之间的宏观连接。 MRI数据采集和随后的算法工作流程包含多个复杂的步骤，可能会发生错误。在目前的贡献中，我们描述并发布了1064个人类连接，从人类连接项目的公开发布中计算出来。每个连接组都有5个分辨率可用，其中83、129、234、463和1015个解剖标记的节点。为了进行误差校正，我们遵循每个边缘和每个连接组的平均和极值删除策略。可以从\ url {https://braingraph.org}网站下载产生的5320 braingraphs。该数据集使对不熟悉神经成像和连接相关的工具的科学家可以访问这些图表：数学家，物理学家和工程师可以在分析人脑的联系中使用其专业化和想法。脑科学家还具有可用于连接研究的强大且大型的多分辨率设置。
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 \url{https://braingraph.org} site. This dataset makes possible the access to these 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 also have a robust and large, multi-resolution set for connectomical studies.
