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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Auteurs principaux:	Sophie Richter, Stefan Winzeck, Marta M. Correia, Evgenios N. Kornaropoulos, Anne Manktelow, Joanne Outtrim, Doris Chatfield, Jussi P. Posti, Olli Tenovuo, Guy B. Williams, David K. Menon, Virginia F.J. Newcombe
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2022-12-01
Collection:	NeuroImage: Reports
Sujets:	Up to 6): magnetic resonance imaging Harmonization ComBat Travelling subject Diffusion tensor imaging
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2666956022000605
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