Is residual memory variance a valid method for quantifying cognitive reserve? A longitudinal application. (October 2015)

• Record Type: Journal Article
• Authors: Zahodne, Laura B.; Manly, Jennifer J.; Brickman, Adam M.; Narkhede, Atul; Griffith, Erica Y.; Guzman, Vanessa A.; Schupf, Nicole; Stern, Yaakov
• Is Part Of: Neuropsychologia. Volume 77(2015)
• Page Start: 260
• Page End: 266
• Publication Date: 2015-10
• Subjects: Cognitive reserve -- Cognitive ageing -- Dementia: structural MR imaging -- Memory -- Brain atrophy; Neuropsychology -- Periodicals; Neurology -- Periodicals; Psychophysiology -- Periodicals; Neuropsychologie -- Périodiques; Neuropsychology; Periodicals; Electronic journals; 616.8
• DOI: 10.1016/j.neuropsychologia.2015.09.009
• Languages: English
• ISSNs: 0028-3932

Abstract

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. Highlights: Quantifying cognitive reserve as residual memory variance was extended longitudinally. 244 elders had neuropsychological testing and structural MRI twice over 5 years. Residual memory variance decreased over time. Change in residual memory variance predicted incident dementia. Brain and cognitive changes were more strongly coupled when the residual decreased.