Paul Bautin

This paper develops a framework to distinguish radial and tangential fiber components in human superficial white matter and examines their microstructural and functional properties.

This study identifies hierarchical neural signatures of language by linking semantic and phonological processing to brain networks using fMRI, myelin measures, and AI models.

electro-MICA projects electrophysiological features onto cortical surfaces using numerical solutions to electromagnetic equations, outperforming conventional models in iEEG validation.

MICAFlow provides a fast and robust MRI preprocessing pipeline that translates research workflows into clinical practice, achieving high registration accuracy and data reliability across diverse datasets.