Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease

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dc.contributor.author Allegri, Ricardo
dc.contributor.author González Cruchaga, Carlos
dc.date.accessioned 2022-11-21T08:42:23Z
dc.date.available 2022-11-21T08:42:23Z
dc.date.issued 2022
dc.identifier.issn 1053-8119
dc.identifier.uri http://hdl.handle.net/10900/133212
dc.language.iso en de_DE
dc.publisher Academic Press Inc Elsevier Science de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.neuroimage.2022.119228 de_DE
dc.subject.ddc 570 de_DE
dc.subject.ddc 610 de_DE
dc.title Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease de_DE
dc.type Article de_DE
utue.quellen.id 20220728000000_00058
utue.personen.roh Millar, Peter R.
utue.personen.roh Luckett, Patrick H.
utue.personen.roh Gordan, Brian A.
utue.personen.roh Benzinger, Tammie L. S.
utue.personen.roh Schindler, Suzanne E.
utue.personen.roh Fagan, Anne M.
utue.personen.roh Cruchaga, Carlos
utue.personen.roh Bateman, Randall J.
utue.personen.roh Allegri, Ricardo
utue.personen.roh Jucker, Mathias
utue.personen.roh Lee, Jae-Hong
utue.personen.roh Mori, Hiroshi
utue.personen.roh Salloway, Stephen P.
utue.personen.roh Yakushev, Igor
utue.personen.roh Morris, John C.
dcterms.isPartOf.ZSTitelID Neuroimage de_DE
dcterms.isPartOf.ZS-Issue Article 119228 de_DE
dcterms.isPartOf.ZS-Volume 256 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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