Spatio‐temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity

The pathophysiology of major depressive disorder (MDD) has been explored to be highly associated with the dysfunctional integration of brain networks. It is therefore imperative to explore neuroimaging biomarkers to aid diagnosis and treatment. In this study, we developed a spatiotemporal graph conv...

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Detalles Bibliográficos
Autores principales: Kong, Youyong, Gao, Shuwen, Yue, Yingying, Hou, Zhenhua, Shu, Huazhong, Xie, Chunming, Zhang, Zhijun, Yuan, Yonggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288094/
https://www.ncbi.nlm.nih.gov/pubmed/33969930
http://dx.doi.org/10.1002/hbm.25529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288094/
https://www.ncbi.nlm.nih.gov/pubmed/33969930
http://dx.doi.org/10.1002/hbm.25529

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