Beatrice Latal

This paper uses graph convolutional networks to classify neonatal brain connectomes by etiology at voxel-level granularity, achieving higher classification performance than atlas-based methods and a multilayer perceptron baseline.

This study examines structural brain connectome differences in newborns at risk for cognitive developmental delay across multiple etiologies, finding altered network topology features associated with poorer cognitive outcomes.

This study uses diffusion MRI to map thalamic topography across development, showing stable topography but reduced volumes and increased relative volume in CHD infants.

This study quantifies delayed structural brain connectome maturation in neonates with congenital heart disease compared to healthy controls, showing lower integration and higher segregation.

This study examines the link between early amplitude-integrated EEG (aEEG) and neurodevelopmental outcomes in preterm infants, finding that aEEG measures are not predictive after adjusting for confounders.

The paper investigates if brain growth rates in newborns with congenital heart disease correlate with language development at 12 months, finding a significant link between left planum temporale growth and language scores.