Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

Resting-state fMRI has the potential to help doctors detect abnormal behavior in brain activity and to diagnose patients with depression. However, resting-state fMRI has a bias depending on the scanner site, which makes it difficult to diagnose depression at a new site. In this paper, we propose met...

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Detalles Bibliográficos
Autores principales: Nakano, Takashi, Takamura, Masahiro, Ichikawa, Naho, Okada, Go, Okamoto, Yasumasa, Yamada, Makiko, Suhara, Tetsuya, Yamawaki, Shigeto, Yoshimoto, Junichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270328/
https://www.ncbi.nlm.nih.gov/pubmed/32547427
http://dx.doi.org/10.3389/fpsyt.2020.00400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270328/
https://www.ncbi.nlm.nih.gov/pubmed/32547427
http://dx.doi.org/10.3389/fpsyt.2020.00400

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