Fast and accurate modelling of longitudinal and repeated measures neuroimaging data

Despite the growing importance of longitudinal data in neuroimaging, the standard analysis methods make restrictive or unrealistic assumptions (e.g., assumption of Compound Symmetry—the state of all equal variances and equal correlations—or spatially homogeneous longitudinal correlations). While som...

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Detalles Bibliográficos
Autores principales: Guillaume, Bryan, Hua, Xue, Thompson, Paul M., Waldorp, Lourens, Nichols, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073654/
https://www.ncbi.nlm.nih.gov/pubmed/24650594
http://dx.doi.org/10.1016/j.neuroimage.2014.03.029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073654/
https://www.ncbi.nlm.nih.gov/pubmed/24650594
http://dx.doi.org/10.1016/j.neuroimage.2014.03.029

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