A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer's disease.

Journal: Alzheimer's research & therapy
Published Date:

Abstract

BACKGROUND: The three core pathologies of Alzheimer's disease (AD) are amyloid pathology, tau pathology, and neurodegeneration. Biomarkers exist for each. Neurodegeneration is often detected by neuroimaging, and we hypothesized that a voxel-based deep learning approach using structural MRI might outperform other neuroimaging methods.

Authors

  • Xinyang Feng
  • Frank A Provenzano
    Department of Neurology, Columbia University, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA. Electronic address: fap2005@cumc.columbia.edu.
  • Scott A Small
    Department of Neurology, Columbia University, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.