Growth charts for gross anthropometric traits, such as height, weight, and head circumference, are cornerstones of pediatric care around the world.This modelling approach is centered around measuring the relative deviations from normative trajectories rather than the absolute values of these phenotypes [1].To this end, it is imperative that normative models are not only robust in terms of the statistical framework on which they are built, but also on the applicability of these norms to the global population at large.As such, there has been extensive research on the generalizability of international standards developed by the World Health Organization for population-specific inferences in these anthropometric traits, due to known population differences in the biology (e.g., genetics) and the environment (e.g., nutrition).Moreover, with a recent surge in research on the contribution of these intrinsic and extrinsic variables on brain anatomy and neurodevelopment in general, it is clear that accounting for this variation is critical when generating normative models of global and local brain morphology derived from structural neuroimaging.It is in this context that the work by Dong et al.[2] is an important effort for the cause of population neuroscience.