Cargando…
Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers
INTRODUCTION: Models characterizing intermediate disease stages of Alzheimer's disease (AD) are needed to inform clinical care and prognosis. Current models, however, use only a small subset of available biomarkers, capturing only coarse changes along the complete spectrum of disease progressio...
Autores principales: | Goyal, Devendra, Tjandra, Donna, Migrino, Raymond Q., Giordani, Bruno, Syed, Zeeshan, Wiens, Jenna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234900/ https://www.ncbi.nlm.nih.gov/pubmed/30456290 http://dx.doi.org/10.1016/j.dadm.2018.06.007 |
Ejemplares similares
-
Prognostic value of ATN Alzheimer biomarkers: 60‐month follow‐up results from the Argentine Alzheimer's Disease Neuroimaging Initiative
por: Allegri, Ricardo F., et al.
Publicado: (2020) -
Bayesian latent time joint mixed-effects model of progression in the Alzheimer's Disease Neuroimaging Initiative
por: Li, Dan, et al.
Publicado: (2018) -
Clinical and biomarker trajectories in sporadic Alzheimer's disease: A longitudinal study
por: Wang, Hui‐Fu, et al.
Publicado: (2020) -
Developmental lead exposure and lifespan alterations in epigenetic regulators and their correspondence to biomarkers of Alzheimer's disease
por: Eid, Aseel, et al.
Publicado: (2016) -
Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging
por: Donnelly-Kehoe, Patricio Andres, et al.
Publicado: (2019)