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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
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 |
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