Title
Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease.
Abstract
Individuals with Alzheimer’s disease (AD) dementia exhibit significant heterogeneity across clinical symptoms, atrophy patterns, and spatial distribution of Tau deposition. Most previous studies of AD heterogeneity have focused on atypical clinical subtypes, defined subtypes with a single modality, or restricted their analyses to a priori brain regions and cognitive tests. Here, we considered a data-driven hierarchical Bayesian model to identify latent factors from atrophy patterns and cognitive deficits simultaneously, thus exploiting the rich dimensionality within each modality. Unlike most previous studies, our model allows each factor to be expressed to varying degrees within an individual, in order to reflect potential multiple co-existing pathologies.
Year
DOI
Venue
2019
10.1016/j.neuroimage.2019.116043
NeuroImage
Keywords
Field
DocType
Bayesian model,Canonical correlation analysis,Executive function,Language,Typical late-onset Alzheimer’s disease
Generalizability theory,Episodic memory,Neuroscience,Disease,Cognitive test,Psychology,Cognitive psychology,Atrophy,Cognition,Dementia,Temporal lobe
Journal
Volume
ISSN
Citations 
201
1053-8119
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Nanbo Sun110.35
Elizabeth C Mormino2113.31
Jianzhong Chen310.35
Sabuncu Mert R.4134478.78
B. T. Thomas Yeo570736.84