Cargando…
Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer’s disease
Both healthy aging and Alzheimer’s disease (AD) are characterized by concurrent alterations in several biological factors. However, generative brain models of aging and AD are limited in incorporating the measures of these biological factors at different spatial resolutions. Here, we propose a perso...
Autores principales: | Adewale, Quadri, Khan, Ahmed F, Carbonell, Felix, Iturria-Medina, Yasser |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131100/ https://www.ncbi.nlm.nih.gov/pubmed/34002691 http://dx.doi.org/10.7554/eLife.62589 |
Ejemplares similares
-
Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
por: Iturria-Medina, Yasser, et al.
Publicado: (2021) -
Patient-specific models link neurotransmitter receptor mechanisms with motor and visuospatial axes of Parkinson’s disease
por: Khan, Ahmed Faraz, et al.
Publicado: (2023) -
Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity
por: Iturria-Medina, Yasser, et al.
Publicado: (2022) -
Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
por: Skol, Andrew D, et al.
Publicado: (2020) -
Mathematical Modeling of Protein Misfolding Mechanisms in Neurological Diseases: A Historical Overview
por: Carbonell, Felix, et al.
Publicado: (2018)