Combining Deep Learning and Graph-Theoretic Brain Features to Detect Posttraumatic Stress Disorder at the Individual Level

Combining Deep Learning and Graph-Theoretic Brain Features to Detect Posttraumatic Stress Disorder at the Individual Level

Previous studies using resting-state functional MRI (rs-fMRI) have revealed alterations in graphical metrics in groups of individuals with posttraumatic stress disorder (PTSD). To explore the ability of graph measures to diagnose PTSD and capture its essential features in individual patients, we use...

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Bibliographic Details
Main Authors: Ziyu Zhu, Du Lei, Kun Qin, Xueling Suo, Wenbin Li, Lingjiang Li, Melissa P. DelBello, John A. Sweeney, Qiyong Gong
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Diagnostics
Subjects:
graph theory
posttraumatic stress disorder
deep learning
support vector machine
salience network
neuroimaging
Online Access:https://www.mdpi.com/2075-4418/11/8/1416

Internet

https://www.mdpi.com/2075-4418/11/8/1416

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