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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Detalles Bibliográficos
Autores principales: Yoshida, Kosuke, Shimizu, Yu, Yoshimoto, Junichiro, Takamura, Masahiro, Okada, Go, Okamoto, Yasumasa, Yamawaki, Shigeto, Doya, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507488/
https://www.ncbi.nlm.nih.gov/pubmed/28700672
http://dx.doi.org/10.1371/journal.pone.0179638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507488/
https://www.ncbi.nlm.nih.gov/pubmed/28700672
http://dx.doi.org/10.1371/journal.pone.0179638

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