Cargando…
A data-driven model of biomarker changes in sporadic Alzheimer's disease
We demonstrate the use of a probabilistic generative model to explore the biomarker changes occurring as Alzheimer’s disease develops and progresses. We enhanced the recently introduced event-based model for use with a multi-modal sporadic disease data set. This allows us to determine the sequence i...
Autores principales: | Young, Alexandra L., Oxtoby, Neil P., Daga, Pankaj, Cash, David M., Fox, Nick C., Ourselin, Sebastien, Schott, Jonathan M., Alexander, Daniel C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132648/ https://www.ncbi.nlm.nih.gov/pubmed/25012224 http://dx.doi.org/10.1093/brain/awu176 |
Ejemplares similares
-
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer’s Disease
por: Oxtoby, Neil P., et al.
Publicado: (2017) -
Data-driven models of dominantly-inherited Alzheimer’s disease progression
por: Oxtoby, Neil P, et al.
Publicado: (2018) -
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models
por: Oxtoby, Neil P., et al.
Publicado: (2022) -
Imaging endpoints for clinical trials in Alzheimer’s disease
por: Cash, David M, et al.
Publicado: (2014) -
MIRIAD—Public release of a multiple time point Alzheimer's MR imaging dataset
por: Malone, Ian B., et al.
Publicado: (2013)