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1
Education differentially contributes to cognitive reserve across racial/ethnic groups
Avila, Justina F.; Rentería, Miguel Arce; Jones, Richard N.. - : Wiley Periodicals, Inc., 2021. : Minnesota Population Center, 2021
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2
Family Ties and Cognitive Aging in a Multi-ethnic Cohort
In: J Aging Health (2020)
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3
Social Network Characteristics and Cognitive Functioning in Ethnically Diverse Older Adults: The Role of Network Size and Composition
In: Neuropsychology (2019)
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4
Semantic and lexical features of words dissimilarly affected by non-fluent, logopenic, and semantic primary progressive aphasia
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5
Novel genetic loci associated with hippocampal volume
In: ISSN: 2041-1723 ; EISSN: 2041-1723 ; Nature Communications ; https://hal.archives-ouvertes.fr/hal-01488337 ; Nature Communications, Nature Publishing Group, 2017, 8, pp.13624. ⟨10.1038/ncomms13624⟩ (2017)
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6
Novel genetic loci underlying human intracranial volume identified through genome-wide association
In: ISSN: 1097-6256 ; EISSN: 1546-1726 ; Nature Neuroscience ; https://hal.archives-ouvertes.fr/hal-01382716 ; Nature Neuroscience, Nature Publishing Group, 2016, 19 (12), pp.1569-1582. ⟨10.1038/nn.4398⟩ (2016)
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7
Is Residual Memory Variance a Valid Method for Quantifying Cognitive Reserve? A Longitudinal Application
Abstract: Cognitive reserve describes the mismatch between brain integrity and cognitive performance. Older adults with high cognitive reserve are more resilient to age-related brain pathology. Traditionally, cognitive reserve is indexed indirectly via static proxy variables (e.g., years of education). More recently, cross-sectional studies have suggested that reserve can be expressed as residual variance in episodic memory performance that remains after accounting for demographic factors and brain pathology (whole brain, hippocampal, and white matter hyperintensity volumes). The present study extends these methods to a longitudinal framework in a community-based cohort of 244 older adults who underwent two comprehensive neuropsychological and structural magnetic resonance imaging sessions over 4.6 years. On average, residual memory variance decreased over time, consistent with the idea that cognitive reserve is depleted over time. Individual differences in change in residual memory variance predicted incident dementia, independent of baseline residual memory variance. Multiple-group latent difference score models revealed tighter coupling between brain and language changes among individuals with decreasing residual memory variance. These results suggest that changes in residual memory variance may capture a dynamic aspect of cognitive reserve and could be a useful way to summarize individual cognitive responses to brain changes. Change in residual memory variance among initially non-demented older adults was a better predictor of incident dementia than residual memory variance measured at one time-point.
Keyword: Cognition--Age factors; Dementia; Memory--Age factors; Neuropsychology
URL: https://doi.org/10.7916/D8ZP5JNN
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8
Different Demographic, Genetic, and Longitudinal Traits in Language versus Memory Alzheimer’s Subgroups
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9
Do Neuropsychological Tests Have the Same Meaning in Spanish Speakers as They Do in English Speakers?
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10
Examining the Multifactorial Nature of Cognitive Aging with Covariance Analysis of Positron Emission Tomography Data
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11
Examining the multifactorial nature of cognitive aging with covariance analysis of PET data
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