Individual brain size can vary as much as 1.5-fold. Furthermore, brain regions might not expand linearly proportional relative to total brain size. Scaling is a measure of such expansion. However, only few studies have investigated the differences in scaling pattern between childhood and adulthood. Here we analyzed structural T1 weighted images from children and adults datasets. We found that nonlinear scaling regions are more widely distributed in adults than in children. Therefore, we propose that individual brain regional growth might be influenced by “initial” brain size.