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

Nakano, Takashi; Takamura, Masahiro; Ichikawa, Naho; Okada, Go; Okamoto, Yasumasa; Yamada, Makiko; Suhara, Tetsuya; Yamawaki, Shigeto; Yoshimoto, Junichiro

doi:10.3389/fpsyt.2020.00400

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 …