Guillaume Auzias

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 study uses diffusion MRI to compare microstructural development in sensorimotor cortical regions between preterm and full-term infants, finding region-specific deviations in preterm infants.

This study shows that information gain in goal-directed learning is encoded through synergistic and higher-order functional interactions across cortical circuits.

This study evaluates inter- and intra-rater variability in quality scoring of fetal brain MRI reconstructions across three pipelines and identifies systematic weaknesses in the methods.

This paper combines fetal and postnatal MRI data to analyze neurodevelopmental trajectories during the perinatal transition, identifying continuous and discontinuous changes in brain features.

The paper examines hemispheric asymmetry in structural covariance networks in ASD across 43 datasets, finding altered topological features in specific brain regions.

This study estimates the reliability and heritability of cortical folds using MRI data, finding moderate to high heritability for most sulcal metrics and regional variation in genetic influences.

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

SPANOL uses spectral clustering on cortical surfaces to parcellate brains into lobes, showing agreement with existing atlases and promising results on fetal brains.