Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks

The analysis of brain-imaging data requires complex processing pipelines to support findings on brain function or pathologies. Recent work has shown that variability in analytical decisions, small amounts of noise, or computational environments can lead to substantial differences in the results, end...

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Detalles Bibliográficos
Autores principales: Kiar, Gregory, Chatelain, Yohan, de Oliveira Castro, Pablo, Petit, Eric, Rokem, Ariel, Varoquaux, Gaël, Misic, Bratislav, Evans, Alan C., Glatard, Tristan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559953/
https://www.ncbi.nlm.nih.gov/pubmed/34724000
http://dx.doi.org/10.1371/journal.pone.0250755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8559953/
https://www.ncbi.nlm.nih.gov/pubmed/34724000
http://dx.doi.org/10.1371/journal.pone.0250755

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