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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
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 |
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