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A protocol for working with open-source neuroimaging datasets

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...

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Detalles Bibliográficos
Autores principales: Horien, Corey, Lee, Kangjoo, Westwater, Margaret L., Noble, Stephanie, Tejavibulya, Link, Kayani, Teimur, Constable, R. Todd, Scheinost, Dustin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749295/
https://www.ncbi.nlm.nih.gov/pubmed/35036958
http://dx.doi.org/10.1016/j.xpro.2021.101077
Descripción
Sumario: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 preprint services. For complete details on the use and execution of this profile, please refer to Horien et al. (2021).