期刊
FRONTIERS IN PSYCHIATRY
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2021.682495
关键词
human brain; neuroimaging; multi-level assessment; large-scale studies; common data element; data processing pipelines; scalable analytics; bids format
类别
资金
- National Institute of General Medical Sciences, National Institutes of Health [P20GM121312]
- U.S. Department of Defense [W81XWH-12-10697]
- Laureate Institute for Brain Research (LIBR)
- William K. Warren Foundation
Neuroscience studies require robust bioinformatic support and expertise to preprocess and integrate high-dimensional datasets. This study introduces a scalable data management infrastructure supporting multiple analytics workflows and utilizing the BIDS format for various types of data, demonstrating its utility through exemplar results.
Neuroscience studies require considerable bioinformatic support and expertise. Numerous high-dimensional and multimodal datasets must be preprocessed and integrated to create robust and reproducible analysis pipelines. We describe a common data elements and scalable data management infrastructure that allows multiple analytics workflows to facilitate preprocessing, analysis and sharing of large-scale multi-level data. The process uses the Brain Imaging Data Structure (BIDS) format and supports MRI, fMRI, EEG, clinical, and laboratory data. The infrastructure provides support for other datasets such as Fitbit and flexibility for developers to customize the integration of new types of data. Exemplar results from 200+ participants and 11 different pipelines demonstrate the utility of the infrastructure.
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