Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data()

While aggregation of neuroimaging datasets from multiple sites and scanners can yield increased statistical power, it also presents challenges due to systematic scanner effects. This unwanted technical variability can introduce noise and bias into estimation of biological variability of interest. We...

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Detalles Bibliográficos
Autores principales: Beer, Joanne C., Tustison, Nicholas J., Cook, Philip A., Davatzikos, Christos, Sheline, Yvette I., Shinohara, Russell T., Linn, Kristin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605103/
https://www.ncbi.nlm.nih.gov/pubmed/32640273
http://dx.doi.org/10.1016/j.neuroimage.2020.117129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605103/
https://www.ncbi.nlm.nih.gov/pubmed/32640273
http://dx.doi.org/10.1016/j.neuroimage.2020.117129

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