Sarah V. Di Pietro

This study predicts children's literacy from task-based fMRI by comparing task types and contrasts, finding active tasks and multisensory learning tasks yield better predictive performance.

This study examines age-related changes in multisensory learning using behavioral, neuroimaging, and computational methods in children, finding faster processing and stronger neural engagement in older children.

The paper examines the development of visual N1 sensitivity to digits across elementary school years and finds it remains stable, contrasting with sensitivity to words or letters.