Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression.

In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability. To overcome these problems, we applied partial least squares (PLS) regression to resting-state...

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Главные авторы:	Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Public Library of Science (PLoS) 2017-01-01
Серии:	PLoS ONE
Online-ссылка:	http://europepmc.org/articles/PMC5507488?pdf=render
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