000811809 001__ 811809
000811809 005__ 20210129223932.0
000811809 0247_ $$2doi$$a10.1016/j.neurobiolaging.2016.06.011
000811809 0247_ $$2ISSN$$a0197-4580
000811809 0247_ $$2ISSN$$a1558-1497
000811809 0247_ $$2WOS$$aWOS:000386973900008
000811809 0247_ $$2altmetric$$aaltmetric:9026114
000811809 0247_ $$2pmid$$apmid:27460151
000811809 037__ $$aFZJ-2016-04160
000811809 082__ $$a610
000811809 1001_ $$00000-0003-0907-8931$$aMcDonough, Ian M.$$b0$$eCorresponding author
000811809 245__ $$aDiscrepancies between fluid and crystallized ability in healthy adults: a behavioral marker of preclinical Alzheimer's disease
000811809 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2016
000811809 3367_ $$2DRIVER$$aarticle
000811809 3367_ $$2DataCite$$aOutput Types/Journal article
000811809 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1470293626_19298
000811809 3367_ $$2BibTeX$$aARTICLE
000811809 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000811809 3367_ $$00$$2EndNote$$aJournal Article
000811809 520__ $$aMeasures of core cognitive processes (fluid abilities) are highly correlated with measures of knowledge (crystallized abilities) in healthy adults. In early stages of Alzheimer's disease (AD), fluid abilities, however, decline more rapidly than crystallized abilities. We hypothesized that cognitively normal older adults who evidenced lower fluid ability compared with crystallized ability (an ability discrepancy) would show evidence of early AD neuropathology indexed via in vivo measures of amyloid-beta (Aβ) deposition and cortical thickness in AD-vulnerable regions. A sample of older adults (n = 112) aged 65 to 89 underwent a cognitive battery, structural magnetic resonance imaging, and a subset (n = 75) also completed positron emission tomography scanning to measure Aβ deposition using F-18 Florbetapir. Of this sample, 60 older adults (43 with available positron emission tomography scans) evidenced a discrepancy where fluid ability was lower than crystallized ability. The magnitude of the ability discrepancy was independently associated with a greater Aβ deposition and thinner cortex in AD-vulnerable regions, as well as age. The data suggest that such a discrepancy may be a marker of preclinical AD.
000811809 536__ $$0G:(DE-HGF)POF3-572$$a572 - (Dys-)function and Plasticity (POF3-572)$$cPOF3-572$$fPOF III$$x0
000811809 588__ $$aDataset connected to CrossRef
000811809 7001_ $$0P:(DE-Juel1)166265$$aBischof, Gérard N.$$b1$$ufzj
000811809 7001_ $$00000-0001-5373-9026$$aKennedy, Kristen M.$$b2
000811809 7001_ $$0P:(DE-HGF)0$$aRodrigue, Karen M.$$b3
000811809 7001_ $$0P:(DE-HGF)0$$aFarrell, Michelle E.$$b4
000811809 7001_ $$0P:(DE-HGF)0$$aPark, Denise C.$$b5
000811809 773__ $$0PERI:(DE-600)1498414-3$$a10.1016/j.neurobiolaging.2016.06.011$$gVol. 46, p. 68 - 75$$p68 - 75$$tNeurobiology of aging$$v46$$x0197-4580$$y2016
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.pdf$$yRestricted
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.gif?subformat=icon$$xicon$$yRestricted
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.jpg?subformat=icon-180$$xicon-180$$yRestricted
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.jpg?subformat=icon-640$$xicon-640$$yRestricted
000811809 8564_ $$uhttps://juser.fz-juelich.de/record/811809/files/1-s2.0-S0197458016301117-main.pdf?subformat=pdfa$$xpdfa$$yRestricted
000811809 909CO $$ooai:juser.fz-juelich.de:811809$$pVDB
000811809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166265$$aForschungszentrum Jülich$$b1$$kFZJ
000811809 9131_ $$0G:(DE-HGF)POF3-572$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$v(Dys-)function and Plasticity$$x0
000811809 9141_ $$y2016
000811809 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000811809 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000811809 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEUROBIOL AGING : 2014
000811809 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000811809 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000811809 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000811809 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext
000811809 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNEUROBIOL AGING : 2014
000811809 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000811809 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000811809 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000811809 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000811809 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000811809 920__ $$lyes
000811809 9201_ $$0I:(DE-Juel1)INM-3-20090406$$kINM-3$$lKognitive Neurowissenschaften$$x0
000811809 980__ $$ajournal
000811809 980__ $$aVDB
000811809 980__ $$aUNRESTRICTED
000811809 980__ $$aI:(DE-Juel1)INM-3-20090406