Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites

Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites

Summary: Background: Establishing objective and quantitative neuroimaging biomarkers at individual level can assist in early and accurate diagnosis of major depressive disorder (MDD). However, most previous studies using machine learning to identify MDD were based on small sample size and did not a...

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Bibliographic Details
Main Authors: Kun Qin, Du Lei, Walter H.L. Pinaya, Nanfang Pan, Wenbin Li, Ziyu Zhu, John A. Sweeney, Andrea Mechelli, Qiyong Gong
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:EBioMedicine
Subjects:
Deep learning
Graph theory
Magnetic resonance imaging
Graph neural network
Depression
Multi-site
Online Access:http://www.sciencedirect.com/science/article/pii/S235239642200161X

Internet

http://www.sciencedirect.com/science/article/pii/S235239642200161X

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