Estimating anatomical trajectories with Bayesian mixed-effects modeling

We introduce a mass-univariate framework for the analysis of whole-brain structural trajectories using longitudinal Voxel-Based Morphometry data and Bayesian inference. Our approach to developmental and aging longitudinal studies characterizes heterogeneous structural growth/decline between and with...

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Detalles Bibliográficos
Autores principales: Ziegler, G., Penny, W.D., Ridgway, G.R., Ourselin, S., Friston, K.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607727/
https://www.ncbi.nlm.nih.gov/pubmed/26190405
http://dx.doi.org/10.1016/j.neuroimage.2015.06.094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607727/
https://www.ncbi.nlm.nih.gov/pubmed/26190405
http://dx.doi.org/10.1016/j.neuroimage.2015.06.094

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