The aim of this research was to analyze the changes in magnetoencephalographic (MEG) activity across the life span. For this task, 220 healthy subjects with ages ranging from 7 to 84 years were enrolled in the study. A statistical complexity measure based on the Shannon entropy and the Euclidean distance were used to assess changes in MEG oscillations during brain development. An increasing quadratic relationship between entropy and age was found, whereas the opposite behavior was observed between statistical complexity and age. Entropy and statistical complexity significantly increased and decreased, respectively, as a function of age from childhood to adolescence (
< 0.0071; Mann-Whitney
-test, Bonferroni corrected). Our results suggest that brain development is accompanied by several changes in the irregularity and statistical complexity patterns. These findings provide new insights into the delimitation of ‘normal behavior’ of neural dynamics during maturation and ageing.