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Integrating Three Characteristics of Executive Function in Non-Demented Aging: Trajectories, Classification, and Biomarker Predictors.

H Sebastian CaballeroG Peggy McFallSandra A WiebeRoger A Dixon
Published in: Journal of the International Neuropsychological Society : JINS (2020)
First, with longitudinal variability in EF aging, the data-driven approach showed that long-term trajectories can be differentiated into separable classes. Second, prediction analyses discriminated class membership by a combination of multiple biomarkers from demographic, lifestyle, functional, and mobility domains of risk for brain and cognitive aging decline.
Keyphrases
  • depressive symptoms
  • machine learning
  • metabolic syndrome
  • deep learning
  • physical activity
  • cardiovascular disease
  • resting state
  • white matter
  • weight loss
  • cross sectional
  • functional connectivity
  • cerebral ischemia