Literature DB >> 30772736

Cognitive aging is not created equally: differentiating unique cognitive phenotypes in "normal" adults.

Kaitlin B Casaletto1, Fanny M Elahi2, Adam M Staffaroni2, Samantha Walters2, Wilfredo Rivera Contreras2, Amy Wolf2, Dena Dubal2, Bruce Miller2, Kristine Yaffe2, Joel H Kramer2.   

Abstract

Age-related cognitive decline is a public health problem but highly diverse and difficult to predict. We captured nonoverlapping cognitive phenotypes in high-functioning adults and identified baseline factors differentiating trajectories. Three hundred fourteen functionally normal adults (M = 69 y) completed 2+ visits. Participants with sample-based longitudinal slopes in memory or processing speed less than -1 SD were classified as "declining" on that measure; 29 and 50 individuals had slopes less than -1 SD on processing speed or memory, respectively; 2.5% met criteria for both, who were excluded. At baseline, speed decliners demonstrated greater age, inflammation, and cognitive complaints compared with speed-stable adults; memory decliners were more likely to be male and had lower depressive symptoms, gray matter volumes, and white matter hyperintensities compared with memory-stable adults. Baseline speed, TNFα, and cognitive complaints accurately classified 96.3% of future speed decliners; baseline memory, sex, precuneal volume, and white matter hyperintensities accurately classified 88.5% of future memory decliners. There are discrete cognitive aging phenotypes reflecting nonoverlapping vulnerabilities in high-functioning adults. Early markers can predict cognition even within the "normal" spectrum and underscore therapeutic targets.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Cytokines; Episodic memory; Mood; Neuroimaging; Processing speed

Mesh:

Substances:

Year:  2019        PMID: 30772736      PMCID: PMC6486874          DOI: 10.1016/j.neurobiolaging.2019.01.007

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   5.133


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