Cargando…
Cognitive biomarker prioritization in Alzheimer’s Disease using brain morphometric data
BACKGROUND: Cognitive assessments represent the most common clinical routine for the diagnosis of Alzheimer’s Disease (AD). Given a large number of cognitive assessment tools and time-limited office visits, it is important to determine a proper set of cognitive tests for different subjects. Most cur...
Autores principales: | Peng, Bo, Yao, Xiaohui, Risacher, Shannon L., Saykin, Andrew J., Shen, Li, Ning, Xia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709267/ https://www.ncbi.nlm.nih.gov/pubmed/33267852 http://dx.doi.org/10.1186/s12911-020-01339-z |
Ejemplares similares
-
Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease
por: Hao, Xiaoke, et al.
Publicado: (2017) -
Age at injury is associated with the long-term cognitive outcome of traumatic brain injuries
por: Li, Wei, et al.
Publicado: (2017) -
Type 2 diabetes mellitus and cerebrospinal fluid Alzheimer's disease biomarker amyloid β1-42 in Alzheimer's Disease Neuroimaging Initiative participants
por: Li, Wei, et al.
Publicado: (2017) -
Deep learning detection of informative features in tau PET for Alzheimer’s disease classification
por: Jo, Taeho, et al.
Publicado: (2020) -
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning
por: Wang, Hua, et al.
Publicado: (2012)