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dc.contributor.authorBENDER, Andrew R.
dc.contributor.authorBRANDMAIER, Andreas M.
dc.contributor.authorDUEZEL, Sandra
dc.contributor.authorKERESZTES, Attila
dc.contributor.authorPASTERNAK, Ofer
dc.contributor.authorLINDENBERGER, Ulman
dc.contributor.authorKUEHN, Simone
dc.date.accessioned2021-02-22T15:49:13Z
dc.date.available2021-02-22T15:49:13Z
dc.date.issued2020
dc.identifier.citationCerebral cortex, 2020, Vol. 30, No. 4, pp. 2465-2477en
dc.identifier.issn1047-3211
dc.identifier.issn1460-2199
dc.identifier.urihttps://hdl.handle.net/1814/70125
dc.descriptionFirst published online: 04 December 2019en
dc.description.abstractAge-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants aged 61-82 years (Mage = 69.66, SDage = 3.92 years), we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task of recall over five repeated trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, and their latent interaction. Results showed limbic WM and the interaction of HC and WM-but not HC volume alone-predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher WM anisotropy. We conclude that the structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.en
dc.language.isoen
dc.publisherOxford University Pressen
dc.relation.ispartofCerebral cortexen
dc.titleHippocampal subfields and limbic white matter jointly predict learning rate in older adultsen
dc.typeArticle
dc.identifier.doi10.1093/cercor/bhz252
dc.identifier.volume30
dc.identifier.startpage2465
dc.identifier.endpage2477
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dc.identifier.issue4


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