Washington University School of Medicine / Manu S. Goyal*
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.
Author information
Goyal MS1,2, Blazey TM3, Su Y3, Couture LE3, Durbin TJ3, Bateman RJ2, Benzinger TL3, Morris JC2, Raichle ME3,2, Vlassenko AG3.
1
Neuroimaging Laboratories, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110; goyalm@wustl.edu.
2
Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110.
3
Neuroimaging Laboratories, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110.
편집위원
상기 논문은 200여명의 정상 human brain을 분석하여 성장에 따른 차이가 있고, 여성의 뇌가 남성의 뇌보다 조금 더 젊은 경향성을 보인다는 결론을 보였음. 성별에 따른 뇌의 차이를 보여준 연구로 추가적 검증이 필요하겠지만, 흥미로운 주제로서 향후 이상 뇌에 대한 연구 분석에도 활용될 수 있겠음.
2019-03-25 15:46:10