Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort

BACKGROUND: The growth in multi-center neuroimaging studies generated a need for methods that mitigate the differences in hardware and acquisition protocols across sites i.e., scanner effects. ComBat harmonization methods have shown promise but have not yet been tested on all the data types commonly...

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Detalles Bibliográficos
Autores principales: Richter, Sophie, Winzeck, Stefan, Correia, Marta M., Kornaropoulos, Evgenios N., Manktelow, Anne, Outtrim, Joanne, Chatfield, Doris, Posti, Jussi P., Tenovuo, Olli, Williams, Guy B., Menon, David K., Newcombe, Virginia F.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726680/
https://www.ncbi.nlm.nih.gov/pubmed/36507071
http://dx.doi.org/10.1016/j.ynirp.2022.100136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726680/
https://www.ncbi.nlm.nih.gov/pubmed/36507071
http://dx.doi.org/10.1016/j.ynirp.2022.100136

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