Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder

Predicting future brain topography can give insight into neural correlates of aging and neurodegeneration. Due to variability in the aging process, it has been challenging to precisely estimate brain topographical change according to aging. Here, we predict age-related brain metabolic change by gene...

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Bibliographic Details
Main Authors: Hongyoon Choi, Hyejin Kang, Dong Soo Lee, The Alzheimer's Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2018.00212/full