Title | ||
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Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. |
Abstract | ||
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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 Sun | 1 | 1 | 0.35 |
Elizabeth C Mormino | 2 | 11 | 3.31 |
Jianzhong Chen | 3 | 1 | 0.35 |
Sabuncu Mert R. | 4 | 1344 | 78.78 |
B. T. Thomas Yeo | 5 | 707 | 36.84 |