Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation

Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation

Normal aging is associated with changes in volumetric indices of brain atrophy. A quantitative understanding of age-related brain changes can shed light on successful aging. To investigate the effect of age on global and regional brain volumes and cortical thickness, 3514 magnetic resonance imaging...

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Bibliographic Details
Main Authors: Jaime Gómez-Ramírez, Miguel A. Fernández-Blázquez, Javier J. González-Rosa
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Brain Sciences
Subjects:
aging
MRI
machine learning
XGBoost
feature importance
shapley values
Online Access:https://www.mdpi.com/2076-3425/12/5/579

Internet

https://www.mdpi.com/2076-3425/12/5/579

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