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1000 Titel
  • Robust Detection of Impaired Resting State Functional Connectivity Networks in Alzheimer's Disease Using Elastic Net Regularized Regression
1000 Autor/in
  1. Teipel, Stefan J. |
  2. Grothe, Michel J. |
  3. Metzger, Coraline D. |
  4. Grimmer, Timo |
  5. Sorg, Christian |
  6. Ewers, Michael |
  7. Franzmeier, Nicolai |
  8. Meisenzahl, Eva |
  9. Klöppel, Stefan |
  10. Borchardt, Viola |
  11. Walter, Martin |
  12. Dyrba, Martin |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-01-04
1000 Erschienen in
1000 Quellenangabe
  • 8:318
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.3389/fnagi.2016.00318 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209379/ |
1000 Ergänzendes Material
  • http://journal.frontiersin.org/article/10.3389/fnagi.2016.00318/full#supplementary-material |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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), comprising 53 AD patients and 118 age and sex matched healthy controls. Using all possible pairs of correlations between the time series of rs-fMRI signal from 84 functionally defined brain regions as the initial set of predictor variables, we calculated accuracy of group discrimination and consistency of feature selection with bootstrap cross-validation. Mean areas under the receiver operating characteristic curves as measure of diagnostic accuracy were 0.70 in unregularized and 0.80 in regularized regression. Elastic net regression was insensitive to scanner effects and recovered a consistent network of functional connectivity decline in AD that encompassed parts of the dorsal default mode as well as brain regions involved in attention, executive control, and language processing. Stepwise logistic regression found no consistent network of AD related functional connectivity decline. Regularized regression has high potential to increase diagnostic accuracy and consistency of feature selection from multicollinear functional neuroimaging data in AD. Our findings suggest an extended network of functional alterations in AD, but the diagnostic accuracy of rs-fMRI in this multicenter setting did not reach the benchmark defined for a useful biomarker of AD.
1000 Sacherschließung
lokal feature selection
lokal Alzheimer's disease
lokal regularization
lokal diagnostic imaging
lokal functional magnetic resonance imaging (fMRI)
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/VGVpcGVsLCBTdGVmYW4gSi4=|https://frl.publisso.de/adhoc/creator/R3JvdGhlLCBNaWNoZWwgSi4=|https://frl.publisso.de/adhoc/creator/TWV0emdlciwgQ29yYWxpbmUgRC4=|https://frl.publisso.de/adhoc/creator/R3JpbW1lciwgVGltbw==|https://frl.publisso.de/adhoc/creator/U29yZywgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/creator/RXdlcnMsIE1pY2hhZWw=|https://frl.publisso.de/adhoc/creator/RnJhbnptZWllciwgTmljb2xhaQ==|https://frl.publisso.de/adhoc/creator/TWVpc2VuemFobCwgRXZh|https://frl.publisso.de/adhoc/creator/S2zDtnBwZWwsIFN0ZWZhbg==|https://frl.publisso.de/adhoc/creator/Qm9yY2hhcmR0LCBWaW9sYQ==|https://frl.publisso.de/adhoc/creator/V2FsdGVyLCBNYXJ0aW4=|https://frl.publisso.de/adhoc/creator/RHlyYmEsIE1hcnRpbg==
1000 Label
1000 Förderer
  1. Federal Ministry of Research (BMBF) |
1000 Fördernummer
  1. 1GQ1425B
1000 Förderprogramm
  1. AgeGain
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Research (BMBF) |
    1000 Förderprogramm AgeGain
    1000 Fördernummer 1GQ1425B
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6404309.rdf
1000 Erstellt am 2017-09-07T10:24:04.727+0200
1000 Erstellt von 122
1000 beschreibt frl:6404309
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet Thu Apr 01 09:17:47 CEST 2021
1000 Objekt bearb. Thu Apr 01 09:17:47 CEST 2021
1000 Vgl. frl:6404309
1000 Oai Id
  1. oai:frl.publisso.de:frl:6404309 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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