Pustina Dorian, Das Sandhitsu, Rozelle Dan, Johnson Hans J, Scahill Rachael I, Tabrizi Sarah J, Georgiou-Karistianis Nellie, Sampaio Cristina, Wood Andrew
CHDI Management, Inc. (the company that manages the scientific activities of CHDI Foundation, Inc.), Princeton, NJ, United States.
Paid Consultant, Rancho BioSciences, Rancho Santa Fe, CA, United States.
Imaging Neurosci (Camb). 2024 Dec 16;2. doi: 10.1162/imag_a_00395. eCollection 2024.
Multiple neuroimaging datasets from Huntington's disease (HD) studies are publicly available, but these datasets are in various formats, omit imaging metadata, and sometimes contain corrupt scans. We have created a platform to curate, harmonize, and distribute neuroimaging datasets from eight different studies: TRACK-HD, TRACKOn-HD, PREDICT-HD, IMAGE-HD, HD-YAS, SHIELD-HD, PEARL-HD, and LONGPDE10. The platform is organized into three conceptual levels to serve the research community with both raw and processed data. Raw data are converted into Brain Imaging Data Structure (BIDS) format, while processed data are obtained from pipelines such as Freesurfer and fmriprep. Studies that had followed the same participants were combined. After combining studies, the final six BIDS datasets include a total of 2,216 participants and 7,073 sessions. We outline tools, principles, and recommendations for future data management in HD research.
来自亨廷顿舞蹈症(HD)研究的多个神经影像数据集已公开可用,但这些数据集格式各异,缺少影像元数据,有时还包含损坏的扫描数据。我们创建了一个平台,用于管理、整合和分发来自八项不同研究的神经影像数据集:TRACK-HD、TRACKOn-HD、PREDICT-HD、IMAGE-HD、HD-YAS、SHIELD-HD、PEARL-HD和LONGPDE10。该平台分为三个概念层次,为研究团体提供原始数据和处理后的数据。原始数据被转换为脑影像数据结构(BIDS)格式,而处理后的数据则来自诸如Freesurfer和fmriprep等流程。对跟踪相同参与者的研究进行了合并。合并研究后,最终的六个BIDS数据集总共包含2216名参与者和7073次扫描。我们概述了HD研究未来数据管理的工具、原则和建议。