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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Dades bibliogràfiques
Publicat a:Proc Natl Acad Sci U S A
Autors principals: Zhang, Xiuming, Mormino, Elizabeth C., Sun, Nanbo, Sperling, Reisa A., Sabuncu, Mert R., Yeo, B. T. Thomas
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2016
Matèries:
PNAS Plus
Accés en línia: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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