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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 expressed...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5081632/ https://ncbi.nlm.nih.gov/pubmed/27702899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1611073113 |
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