Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease.

@article{Zhang2016BayesianMR,
  title={Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease.},
  author={Xiuming Zhang and Elizabeth C. Mormino and Nanbo Sun and Reisa A. Sperling and Mert R. Sabuncu and B. T. Thomas Yeo},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2016},
  volume={113 42},
  pages={E6535-E6544}
}
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 within each participant rather than assuming that each participant expressed a single atrophy factor. The model revealed a temporal atrophy factor (medial temporal cortex, hippocampus, and amygdala… CONTINUE READING
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