Refining human brain metabolism trajectories: Convergence, uncertainties and the value of arteriovenous data

完善人脑代谢轨迹:收敛性、不确定性及动静脉数据的价值

阅读:1

Abstract

Structural brain aging trajectories are increasingly well characterized in very large datasets, but metabolic trajectories remain less clear. It has been proposed that CMRglc may fall faster than CMRO(2) with age, though this view has been questioned. In this context, Duffy et al. now provide a rare contribution by assembling brain arteriovenous data from >200 adults aged 19-45 years. Their results offer an opportunity to refine our understanding of brain metabolism trajectories and highlight the challenges in studying this question.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。