This study presented by Coronel-Oliveros et al investigated the potential protective effects of diverse creative experiences on biological brain aging, quantified by the deviation between chronological age and predicted brain age. Researchers utilized machine learning (Support Vector Machines) and M/EEG functional connectivity data from 1,240 participants to build robust brain clock models, which were then used to compute brain age gaps (BAGs) in 232 individuals with different levels of creative expertise and short-term learning in domains such as tango dancers, musicians, visual artists, and video gamers. Delayed brain age (negative BAGs) was consistently observed across all creative domains, and this protective effect further scaled with the level of experience, demonstrating a greater impact in long-term expertise than in short-term learning. Detailed analysis revealed that lower BAGs were associated with plasticity-driven functional alterations, including increased local and global network efficiency, and modulations in biophysical coupling. The findings suggest a domain-independent link between creativity and brain health, providing evidence that creative experiences drive plasticity-related mechanisms that present an inverted pattern (reduced accelerated aging) compared to what is often seen in many neurological disorders.