Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease
We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer's disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expr...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
National Academy of Sciences (U.S.),
2017-05-10T19:04:51Z.
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| Subjects: | |
| Online Access: | Get fulltext |