Eveline A. Crone

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

This study examines mood variability in adolescents, finding gender differences in its peak timing and associations with brain structure and sleep patterns.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

The paper examines age-related variations in cortical thickness across different life stages using gene expression data from a large neuroimaging dataset.

This study examines prosocial reinforcement learning in adolescents, finding increased ventromedial prefrontal cortex activity with age during learning for others.

The paper analyzes cortical thickness trajectories in 17,075 individuals to show peak thickness in childhood, steep decline in early adulthood, and slower decline later, with notable exceptions and significant inter-individual variability.

This study investigates how learning and development interact by analyzing longitudinal changes in brain networks and behavior across adolescence and young adulthood.

This study analyzes subcortical volume changes across the lifespan using MRI data from 18,605 individuals, finding age-related declines in some structures and increases in others.

This study examines how the precuneus's functional connectivity changes with age in the default-mode network and task-based networks using fMRI data from children and adults.

The paper analyzes MRI data to describe the longitudinal development of hippocampal subregions from childhood to adulthood, identifying nonlinear and linear volume changes and cognitive associations.