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Titel:

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

Dokumenttyp:
Journal Article; Article
Autor(en):
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
Abstract:
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 logistic regression in respect to consistency of feature selection and diagnostic accuracy using rs-fMRI data from four centers of the "German resting-state initiative for diagnostic biomarkers" (psymri.org), c...     »
Zeitschriftentitel:
Front Aging Neurosci
Jahr:
2016
Band / Volume:
8
Seitenangaben Beitrag:
318
Sprache:
eng
Volltext / DOI:
doi:10.3389/fnagi.2016.00318
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/28101051
TUM Einrichtung:
Fachgebiet Neuroradiologie (Prof. Zimmer); Klinik und Poliklinik für Psychiatrie und Psychotherapie
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