001     283053
005     20251230103619.0
024 7 _ |a 10.1002/alz70856_102595
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024 7 _ |a pmc:PMC12741494
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024 7 _ |a 1552-5260
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024 7 _ |a 1552-5279
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037 _ _ |a DZNE-2025-01460
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Boscheck, Hanna
|0 P:(DE-2719)9003115
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|e First author
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111 2 _ |a Alzheimer’s Association International Conference
|g AAIC 25
|c Toronto
|d 2025-07-27 - 2025-07-31
|w Canada
245 _ _ |a Associations of cognitive debt and cognitive reserve with mixed brain pathology and cognition
260 _ _ |c 2025
336 7 _ |a Abstract
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Journal Article
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520 _ _ |a Behavioral risk or protective factors related to 'cognitive debt' and 'cognitive reserve' may influence brain pathology and cognition and thereby contribute to resilience in aging. This cross-sectional study examined direct and indirect associations of cognitive debt (risk factor) and cognitive reserve (protective factor) with mixed brain pathologies and cognition in older adults.A sample of N = 298 non-demented older adults (mean age=70 years, 56% male) from the DELCODE study (DRKS00007966) were analyzed using structural equation modeling (SEM) and an a-priori path model. We assessed the association between cognitive debt and cognitive reserve (modelled as latent constructs) and global cognition (Preclinical Alzheimer Cognitive Composite 5 [PACC5] modelled as latent construct) through pathological pathways involving beta-amyloid (Aß) burden, hippocampal neurodegeneration, and white matter hyperintensities (WMH) in the corpus callosum splenium (CCs), while adjusting for age. A goodness-of-fit analysis ensured adequate model fit.Brain pathology was associated with lower PACC5 performance via direct pathways (for WMH in the CCs and hippocampal neurodegeneration) and indirect pathways (for Aß deposition via hippocampal neurodegeneration) (all p < .05). Cognitive debt and cognitive reserve were not significantly associated with brain pathology (all p > .05). Cognitive reserve, but not cognitive debt, was independently associated with better PACC5 performance (p = .005). Cognitive debt and cognitive reserve were associated at trend level (p = .068). Results are displayed in Figure 1.Brain pathologies were linked to lower cognitive performance. Cognitive reserve, but not cognitive debt, was independently associated with better cognitive performance (1). There were no significant associations of cognitive debt and cognitive reserve with brain pathologies. The findings suggest that cognitive reserve may influence resilience through mechanisms independent of brain pathology (2). Future longitudinal studies are needed to investigate these pathways and clarify causal relationships. References 1. Vemuri P, Weigand SD, Przybelski SA, Knopman DS, Smith GE, Trojanowski JQ, et al. Cognitive reserve and Alzheimer's disease biomarkers are independent determinants of cognition. Brain. 2011;134(Pt 5):1479-92. 2. Vemuri P, Lesnick TG, Przybelski SA, Knopman DS, Roberts RO, Lowe VJ, et al. Effect of lifestyle activities on Alzheimer disease biomarkers and cognition. Ann Neurol. 2012;72(5):730-8.
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650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 7 |a Amyloid beta-Peptides
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Cross-Sectional Studies
|2 MeSH
650 _ 2 |a Biomarkers
|2 MeSH
650 _ 2 |a Cognitive Reserve: physiology
|2 MeSH
650 _ 2 |a Brain: pathology
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: metabolism
|2 MeSH
650 _ 2 |a Neuropsychological Tests
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Alzheimer Disease
|2 MeSH
650 _ 2 |a White Matter: pathology
|2 MeSH
650 _ 2 |a Hippocampus: pathology
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
693 _ _ |0 EXP:(DE-2719)DELCODE-20140101
|5 EXP:(DE-2719)DELCODE-20140101
|e Longitudinal Cognitive Impairment and Dementia Study
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700 1 _ |a Liebscher, Maxie
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700 1 _ |a Delia, Ylenia
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700 1 _ |a Mauer, René
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700 1 _ |a Peters, Oliver
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700 1 _ |a Priller, Josef
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700 1 _ |a Schneider, Anja
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700 1 _ |a Wiltfang, Jens
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700 1 _ |a Buerger, Katharina
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700 1 _ |a Perneczky, Robert
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700 1 _ |a Teipel, Stefan
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700 1 _ |a Laske, Christoph
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700 1 _ |a Spottke, Annika
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700 1 _ |a Brosseron, Frederic
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700 1 _ |a Yakupov, Renat
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700 1 _ |a Ziegler, Gabriel
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700 1 _ |a Kleineidam, Luca
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700 1 _ |a Jessen, Frank
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700 1 _ |a Düzel, Emrah
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700 1 _ |a Wagner, Michael
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700 1 _ |a Roeske, Sandra
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700 1 _ |a Marchant, Natalie L
|b 21
700 1 _ |a Gloeckner, Franka
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700 1 _ |a Klimecki-Lenz, Olga Maria
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700 1 _ |a Wirth, Miranka
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700 1 _ |a group, DELCODE study
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773 _ _ |a 10.1002/alz70856_102595
|g Vol. 21 Suppl 2, no. Suppl 2, p. e102595
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