Persistent metabolic youth in the aging female brain.

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.

authors

Goyal MS,Blazey TM,Su Y,Couture LE,Durbin TJ,Bateman RJ,Benzinger TL,Morris JC,Raichle ME,Vlassenko AG

doi

10.1073/pnas.1815917116

subject

Has Abstract

pub_date

2019-02-19 00:00:00

pages

3251-3255

issue

8

eissn

0027-8424

issn

1091-6490

pii

1815917116

journal_volume

116

pub_type

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