Using deep learning to classify pediatric posttraumatic stress disorder at the individual level

Using deep learning to classify pediatric posttraumatic stress disorder at the individual level

Abstract Background Children exposed to natural disasters are vulnerable to developing posttraumatic stress disorder (PTSD). Previous studies using resting-state functional neuroimaging have revealed alterations in graph-based brain topological network metrics in pediatric PTSD patients relative to...

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Bibliographic Details
Main Authors: Jing Yang, Du Lei, Kun Qin, Walter H. L. Pinaya, Xueling Suo, Wenbin Li, Lingjiang Li, Graham J. Kemp, Qiyong Gong
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Psychiatry
Subjects:
Deep learning
Posttraumatic stress disorder
Graph measure
Topological properties
Classification Psychoradiology
Psychoradiology
Online Access:https://doi.org/10.1186/s12888-021-03503-9

Internet

https://doi.org/10.1186/s12888-021-03503-9

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