Single-subject grey matter network trajectories over the disease course of autosomal dominant Alzheimer’s disease

Structural grey matter covariance networks provide an individual quantification of morphological patterns in the brain. The network integrity is disrupted in sporadic Alzheimer’s disease, and network properties show associations with the level of amyloid pathology and cognitive decline. Therefore, t...

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Detalles Bibliográficos
Autores principales: Vermunt, Lisa, Dicks, Ellen, Wang, Guoqiao, Dincer, Aylin, Flores, Shaney, Keefe, Sarah J, Berman, Sarah B, Cash, David M, Chhatwal, Jasmeer P, Cruchaga, Carlos, Fox, Nick C, Ghetti, Bernardino, Graff-Radford, Neill R, Hassenstab, Jason, Karch, Celeste M, Laske, Christoph, Levin, Johannes, Masters, Colin L, McDade, Eric, Mori, Hiroshi, Morris, John C, Noble, James M, Perrin, Richard J, Schofield, Peter R, Xiong, Chengjie, Scheltens, Philip, Visser, Pieter Jelle, Bateman, Randall J, Benzinger, Tammie L S, Tijms, Betty M, Gordon, Brian A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475695/
https://www.ncbi.nlm.nih.gov/pubmed/32954344
http://dx.doi.org/10.1093/braincomms/fcaa102

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475695/
https://www.ncbi.nlm.nih.gov/pubmed/32954344
http://dx.doi.org/10.1093/braincomms/fcaa102

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