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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...
Autores principales: | Ziegler, G., Penny, W.D., Ridgway, G.R., Ourselin, S., Friston, K.J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2015
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Materias: | |
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 |
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