Article

Enhancing multi-center generalization of machine learning-based depression diagnosis from resting-state fMRI

2019-08-25

Abstract excerpt

Resting-state fMRI has the potential to find 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 methods to improve the performance of the diagnosis of major depressive disorder (MDD) at an independent site by reducing the site bias...

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Literature Corpus work: 621d1a59-5773-52b4-80aa-5e7f2cbf6859
DOI: 10.1101/19004051

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