A community-driven development of the brain imaging data standard (BIDS) to describe macroscopic brain connections

项目概要/摘要 脑成像数据结构（BIDS）是一项BRAIN计划（R24 MH 114705） 社区驱动的标准，旨在最大限度地共享神经成像数据，并促进分析工具 发展我们建议扩展标准，以涵盖实验产生的衍生物 与功能和结构磁共振成像数据相关， 宏观的大脑连接估计。本提案的重点是推进BIDS，以描述 整个实验工作流程-从最低限度处理的解剖、功能和弥散MRI数据 通过连接矩阵和追踪功能-支持BRAIN计划 研究人类和非人类大脑的大规模连接。BIDS最初适用于MRI 大脑的数据，但该标准已经建立了一个坚实的基础设施，以指导社区， 已扩展到涵盖一系列其他模态（PET、EEG、MEG、ECoG）。从第一 公告，BIDS已经发展成为一个有组织的社区，共享治理和 其影响力远远超出了美国的大脑计划。到目前为止，131名教师，学生， 和博士后对标准的发展做出了贡献，描述BIDS的文章已经被 引用277次 目前在开发BIDS以有效支持科学成果的过程方面存在差距 一代这是因为该标准尚未描述可以提取的大脑特征 这些数据通常用于执行统计测试和完成科学研究。 这些特征包括连通图、结构和功能连接、主要白色物质 纤维束、扩散信号模型以及白色物质纤维束图和纤维束测量。已处理的共享 除了原始数据和最低限度处理的数据之外，数据和特征对于加速科学研究至关重要。 的发现这是因为大量的努力，软件和硬件仪器，以及专业知识 将原始数据转换为可用状态。之前的一个项目（R24 MH 114705） BIDS衍生品标准的基础，最终导致现有的通用衍生品 标准然而，当前的BIDS衍生标准不包括高级数据衍生， 描述大脑连接实验。目前的建议是将BIDS标准推进到 预处理的数据，以描述从实验和模型拟合后生成的数据产品 预处理该项目将提供一个社区开发的描述大脑连接的标准 实验该标准将附有软件来验证数据集。

Project Summary/Abstract The Brain Imaging Data Structure (BIDS) is a BRAIN initiative (R24 MH114705) community-driven standard meant to maximize neuroimaging data sharing, and facilitate analysis tool development. We propose to extend the standard to encompass derivatives resulting from experiments related to both functional as well as structural magnetic resonance imaging data that describe macroscopic brain connectivity estimates. The focus of this proposal is to advance BIDS to describe the entire experimental workflow—from minimally processed anatomical, functional and diffusion MRI data through connectivity matrices and tractometry features—in service of supporting BRAIN initiative studies of large-scale connectivity of human and nonhuman brains. BIDS was initially scoped to MRI data of the brain, but the standard has set up a solid infrastructure to steer the community and has been extended to cover a range of other modalities (PET, EEG, MEG, ECoG). Since its first announcement, BIDS has evolved to become an organized community with shared governance and a strong impact well beyond the U.S. BRAIN initiative. To date, 131 individuals among faculty, students, and postdocs contributed to the development of the standard and the article describing BIDS has been cited 277 times. Current gaps exist in developing BIDS to effectively support the process of scientific results generation. This is because the standard does not yet describe brain features that can be extracted from MRI data and that are routinely used to perform statistical tests and complete scientific studies. These features comprise connectivity maps, structural and functional connections, major white matter tracts, diffusion signal models as well as white matter tractograms and tractometry. Sharing processed data and features in addition to raw and minimally-processed data is critical to accelerating scientific discovery. This is because substantial effort, software, and hardware instrumentation, and know-how are required to bring raw data to a usable state. One previous project (R24 MH114705) laid the foundations for the BIDS derivatives standard, ultimately leading to the existing Common Derivatives standard. However, the current BIDS derivative standard does not cover advanced data derivatives that describe brain connectivity experiments. The current proposal is to advance the BIDS standard beyond preprocessed data to describe data products generated from experiments and models fit after preprocessing. The project will deliver a community-developed standard describing brain connectivity experiments. The standard will be accompanied by software to validate the datasets.