Augustijn de Boer

Abstract The cerebellum’s involvement in cognitive functions is increasingly recognized, yet its developmental contribution to cognition remains poorly understood. The cerebellum undergoes rapid development in early life, paralleling major cognitive and behavioral changes.

Abstract Normative modeling provides a principled framework for quantifying individual deviations from typical brain development and is increasingly used to study heterogeneity in neuropsychiatric conditions. While widely applied to structural phenotypes, functional normative models remain underdeveloped. Here, we introduce MEGaNorm, a normative modeling framework for charting lifespan trajectories of resting-state magnetoencephalography (MEG) brain oscillations.

A solution: Partial-pooling using hierarchical Bayesian regression To overcome the aforementioned shortcomings, we propose a partial pooling approach based on hierarchical Bayesian regression (HBR) as a possible solution for completing the life-cycle of normative modeling. HBR is a natural choice in modeling different levels of variation in data [23].