Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks

Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks

Structural magnetic resonance imaging (MRI) studies have demonstrated that the brain undergoes age-related neuroanatomical changes not only regionally but also on the network level during the normal development and aging process. In recent years, many studies have focused on estimating age using str...

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Bibliographic Details
Main Authors: Huiting Jiang, Na Lu, Kewei Chen, Li Yao, Ke Li, Jiacai Zhang, Xiaojuan Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neurology
Subjects:
age prediction
convolutional neural networks
healthy subjects
machine learning
magnetic resonance imaging
structural network
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.01346/full

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https://www.frontiersin.org/article/10.3389/fneur.2019.01346/full

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