Robust Detection of Impaired Resting State Functional Connectivity Networks in Alzheimer's Disease Using Elastic Net Regularized Regression

The large number of multicollinear regional features that are provided by resting state (rs) fMRI data requires robust feature selection to uncover consistent networks of functional disconnection in Alzheimer's disease (AD). Here, we compared elastic net regularized and classical stepwise logis...

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Detalles Bibliográficos
Autores principales: Teipel, Stefan J., Grothe, Michel J., Metzger, Coraline D., Grimmer, Timo, Sorg, Christian, Ewers, Michael, Franzmeier, Nicolai, Meisenzahl, Eva, Klöppel, Stefan, Borchardt, Viola, Walter, Martin, Dyrba, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209379/
https://www.ncbi.nlm.nih.gov/pubmed/28101051
http://dx.doi.org/10.3389/fnagi.2016.00318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209379/
https://www.ncbi.nlm.nih.gov/pubmed/28101051
http://dx.doi.org/10.3389/fnagi.2016.00318

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