Pierre Berthet

This paper uses transfer learning from normative models to estimate cortical thickness trajectories in children across different scanners, showing it can detect pre-term morphological heterogeneity.

This study examines structural brain heterogeneity in schizophrenia using multimodal MRI data from the ENIGMA dataset, finding higher frontotemporal heterogeneity and left parahippocampal homogeneity in patients.

The paper develops population-wide cerebellar growth models using neuroimaging data, revealing an anterior-posterior growth gradient linked to cognitive and motor development.

This work develops normative models of brain growth and aging using neuroimaging data to quantify variability across disorders and improve case-control inferences.

This paper introduces a standardized protocol for normative modeling in computational psychiatry using the PCNtoolkit, enabling analysis of biological heterogeneity without relying on case-control comparisons.

This paper assesses how neural probe shape and size affect extracellular potentials and introduces a correction method to account for their influence.