A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps

Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and greater data complexity, this problem becomes more acute. Software that operates on imaging data defined using the Brain Imaging Data Structure (BIDS) – BIDS Apps – have provided a substantial advance. However, ev...

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Detalles Bibliográficos
Autores principales: Zhao, Chenying, Jarecka, Dorota, Covitz, Sydney, Chen, Yibei, Eickhoff, Simon B., Fair, Damien A., Franco, Alexandre R., Halchenko, Yaroslav O., Hendrickson, Timothy J., Hoffstaedter, Felix, Houghton, Audrey, Kiar, Gregory, Macdonald, Austin, Mehta, Kahini, Milham, Michael P., Salo, Taylor, Hanke, Michael, Ghosh, Satrajit S., Cieslak, Matthew, Satterthwaite, Theodore D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461987/
https://www.ncbi.nlm.nih.gov/pubmed/37645999
http://dx.doi.org/10.1101/2023.08.16.552472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461987/
https://www.ncbi.nlm.nih.gov/pubmed/37645999
http://dx.doi.org/10.1101/2023.08.16.552472

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