1. Persistent metabolic youth in the aging female brain.
- Author
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Goyal MS, Blazey TM, Su Y, Couture LE, Durbin TJ, Bateman RJ, Benzinger TL, Morris JC, Raichle ME, and Vlassenko AG
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Brain diagnostic imaging, Female, Humans, Machine Learning, Magnetic Resonance Imaging, Male, Middle Aged, Positron-Emission Tomography, Sex Characteristics, Young Adult, Aging physiology, Attention physiology, Brain physiology, Cognition physiology
- Abstract
Sex differences influence brain morphology and physiology during both development and aging. Here we apply a machine learning algorithm to a multiparametric brain PET imaging dataset acquired in a cohort of 20- to 82-year-old, cognitively normal adults ( n = 205) to define their metabolic brain age. We find that throughout the adult life span the female brain has a persistently lower metabolic brain age-relative to their chronological age-compared with the male brain. The persistence of relatively younger metabolic brain age in females throughout adulthood suggests that development might in part influence sex differences in brain aging. Our results also demonstrate that trajectories of natural brain aging vary significantly among individuals and provide a method to measure this., Competing Interests: The authors declare no conflict of interest., (Copyright © 2019 the Author(s). Published by PNAS.)
- Published
- 2019
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