Cargando…
Analyse patient-level heterogeneity in Alzheimer’s Disease using multimodal normative modelling
BACKGROUND AND OBJECTIVES: Alzheimer’s disease (AD) is highly heterogenous, with significant variations in both clinical presentation and neurobiology. To explore this, we used normative modelling on multimodal neuroimaging data to index spatial patterns of neuroanatomical and neuropathological vari...
Autores principales: | Kumar, Sayantan, Earnest, Thomas, Payne, Philip R.O., Sotiras, Aristeidis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473626/ https://www.ncbi.nlm.nih.gov/pubmed/37662280 http://dx.doi.org/10.1101/2023.08.15.553412 |
Ejemplares similares
-
Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling
por: Verdi, Serena, et al.
Publicado: (2023) -
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
por: Jirsaraie, Robert J., et al.
Publicado: (2023) -
Measuring heterogeneity in normative models as the effective number of deviation patterns
por: Nunes, Abraham, et al.
Publicado: (2020) -
Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review
por: Kumar, Sayantan, et al.
Publicado: (2021) -
Heterogeneous multimodal biomarkers analysis for Alzheimer’s disease via Bayesian network
por: Jin, Yan, et al.
Publicado: (2016)