A protocol for working with open-source neuroimaging datasets

被引:1
|
作者
Horien, Corey [1 ,2 ]
Lee, Kangjoo [3 ]
Westwater, Margaret L. [3 ]
Noble, Stephanie [3 ]
Tejavibulya, Link [1 ]
Kayani, Teimur [3 ]
Constable, R. Todd [1 ,3 ,4 ]
Scheinost, Dustin [1 ,3 ,5 ,6 ]
机构
[1] Yale Sch Med, Interdept Neurosci Program, New Haven, CT 06510 USA
[2] Yale Sch Med, MD PhD Program, New Haven, CT 06510 USA
[3] Yale Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT 06510 USA
[4] Yale Sch Med, Dept Neurosurg, New Haven, CT 06510 USA
[5] Yale Child Study Ctr, New Haven, CT 06510 USA
[6] Yale Univ, Dept Stat & Data Sci, New Haven, CT 06520 USA
来源
STAR PROTOCOLS | 2022年 / 3卷 / 01期
关键词
HARMONIZATION; CONNECTOME; CHALLENGES;
D O I
10.1016/j.xpro.2021.101077
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Large, publicly available neuroimaging datasets are becoming increasingly common, but their use presents challenges because of insufficient knowledge of the tool options for data processing and proper data organization. Here, we describe a protocol to lessen these barriers. We describe the steps for the search and download of the open-source dataset. We detail the steps for proper data management and practical guidelines for data analysis. Finally, we give instructions for data and result sharing on public repositories and pre-print services.For complete details on the use and execution of this profile, please refer to Ho-rien et al. (2021).
引用
收藏
页数:19
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