Department of Biomedical Engineering, The University of Melbourne, VIC, Australia.
Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia; Department of Anatomy and Physiology, School of Biomedical Sciences, The University of Melbourne, Parkville, Victoria, Australia; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, MA, USA.
Neuroimage. 2023 Dec 1;283:120407. doi: 10.1016/j.neuroimage.2023.120407. Epub 2023 Oct 14.
We mapped functional and structural brain networks for more than 40,000 UK Biobank participants. Structural connectivity was estimated with tractography and diffusion MRI. Resting-state functional MRI was used to infer regional functional connectivity. We provide high-quality structural and functional connectomes for multiple parcellation granularities, several alternative measures of interregional connectivity, and a variety of common data pre-processing techniques, yielding more than one million connectomes in total and requiring more than 200,000 h of compute time. For a single subject, we provide 28 out-of-the-box versions of structural and functional brain networks, allowing users to select, e.g., the parcellation and connectivity measure that best suit their research goals. Furthermore, we provide code and intermediate data for the time-efficient reconstruction of more than 1000 different versions of a subject's connectome based on an array of methodological choices. All connectomes are available via the UK Biobank data-sharing platform and our connectome mapping pipelines are openly available. In this report, we describe our connectome resource in detail for users, outline key considerations in developing an efficient pipeline to map an unprecedented number of connectomes, and report on the quality control procedures that were completed to ensure connectome reliability and accuracy. We demonstrate that our structural and functional connectivity matrices meet a number of quality control checks and replicate previously established findings in network neuroscience. We envisage that our resource will enable new studies of the human connectome in health, disease, and aging at an unprecedented scale.
我们为超过 40000 名英国生物银行参与者绘制了功能和结构大脑网络。结构连接性是通过追踪和扩散 MRI 来估计的。静息状态功能 MRI 用于推断区域功能连接。我们为多个分区粒度、几种区域间连接的替代度量标准以及多种常见的数据预处理技术提供了高质量的结构和功能连接组，总共提供了超过 100 万个连接组，需要超过 20 万个小时的计算时间。对于单个受试者，我们提供了 28 种结构和功能大脑网络的即用型版本，允许用户选择最适合其研究目标的分区和连接度量标准。此外，我们提供了代码和中间数据，用于根据一系列方法选择，高效地重建超过 1000 种不同版本的受试者连接组。所有连接组均可通过英国生物银行数据共享平台获取，我们的连接组映射管道也公开提供。在本报告中，我们详细描述了我们的连接组资源，为用户提供了关键考虑因素，概述了开发高效管道以映射前所未有的数量的连接组的情况，并报告了完成的质量控制程序，以确保连接组的可靠性和准确性。我们证明了我们的结构和功能连接矩阵符合多项质量控制检查，并复制了网络神经科学中先前建立的发现。我们设想，我们的资源将以空前的规模促进人类连接组在健康、疾病和衰老方面的新研究。
