Gemma Piella

This study applies SPANGY to fetal MRI data to quantify cortical folding patterns, revealing the temporal sequence of low-to-high frequency fold emergence during prenatal development.

This study shows that lower-quality fetal MRI scans systematically bias normative centile estimates in brain development models, particularly affecting outer centiles.

This paper predicts brain function from the structural connectome using a Riemannian approach based on diffusion maps and random walks, showing performance plateaus around the third walk.

This paper introduces a geometric harmonization method for multi-site functional connectivity data, showing it improves alignment with pathophysiological findings in ADHD studies.

The paper outlines the protocol for the EarlyCause project, which investigates the biological mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity using longitudinal data, animal models, and cellular systems.

The paper uses unsupervised clustering of blood marker profiles to identify subgroups in Alzheimer’s disease and shows differences in brain imaging phenotypes across these subgroups.