Persistent metabolic youth in the aging female brain

Volume: 116, Issue: 8, Pages: 3251 - 3255
Published: Feb 4, 2019
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...
Paper Details
Title
Persistent metabolic youth in the aging female brain
Published Date
Feb 4, 2019
Volume
116
Issue
8
Pages
3251 - 3255
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