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Common Data Elements, Scalable Data Management Infrastructure, and Analytics Workflows for Large-Scale Neuroimaging Studies.

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第一作者： Rayus,Kuplicki

第一单位： Laureate Institute for Brain Research, Tulsa, OK, United States.

作者： Rayus,Kuplicki ^[1] ; James,Touthang ^[1] ; Obada,Al Zoubi ^[1] ; Ahmad,Mayeli ^[1] ; Masaya,Misaki ^[1] ; NeuroMAP-Investigators ^[2] ; Robin L,Aupperle ^[3] ; T Kent,Teague ^[4] ; Brett A,McKinney ^[1] ; Martin P,Paulus ^[5] ; Jerzy,Bodurka

作者单位： Laureate Institute for Brain Research, Tulsa, OK, United States. ^[1] Laureate Institute for Brain Research, Tulsa, OK, United States.;Department of Community Medicine, Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, United States. ^[2] Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, OK, United States.;Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK, United States.;Department of Biochemistry and Microbiology, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States. ^[3] Department of Mathematics, University of Tulsa, Tulsa, OK, United States.;Tandy School of Computer Science, University of Tulsa, Tulsa, OK, United States. ^[4] Laureate Institute for Brain Research, Tulsa, OK, United States.;Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States. ^[5]

关键词 bids format common data element data processing pipelines human brain large-scale studies multi-level assessment neuroimaging scalable analytics

DOI 10.3389/fpsyt.2021.682495

PMID 34220587

发布时间 2026-04-08

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