Laurent Petit

The paper develops an automated pipeline for segmenting and parcellating brainstem and subcortical white matter pathways using diffusion MRI data.

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 paper develops a method for microscale white matter tractography using S-OCT and validates it on simulated and mouse brain data, showing improved ODF estimation and tractography performance.

The paper investigates SC-FC coupling in healthy adults to identify markers distinguishing typical, atypical, and non-lateralised language lateralisation profiles.

This study examines the relationship between white matter microstructure and cognitive performance in individuals with different language lateralisation patterns using neuroimaging and cognitive data.

This study introduces a novel tractography method to reconstruct and analyze caudolenticular gray matter bridges in the human brain using diffusion MRI, demonstrating their microstructural properties.

This study shows that MRI R2* changes reflect inflammation in disconnected brain regions after stroke, both in humans and mice, linking disconnection to iron accumulation and microglial activation.

This study identifies distinct structural connectivity patterns in the brains of individuals with different language lateralisation groups using whole-brain tractograms and network analysis.

The paper constructs a lateralized brain atlas for visuospatial attention, identifying key networks and hubs, and provides insights for future research on hemispheric specialization.

The paper develops a method to map white and grey matter contributions to resting-state networks and finds that 89% of white matter is shared across multiple networks.

This study quantifies the prevalence of bottleneck regions in white matter where multiple fiber populations share the same orientation, showing over 50-70% of fixels are affected, leading to potential errors in tractography.

The paper introduces Functionnectome, a method that maps functional white matter circuits using fMRI and anatomy, revealing their contribution to motor, working memory, and language functions.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

This study examines regional changes in white matter volume and microstructure in young adults using MRI data from 1,713 university students, revealing age-related variations in microstructural properties.

The paper introduces the MRi-Share database, a multi-modal brain MRI dataset of 1,870 young adults, and presents preliminary findings on age and sex associations with brain phenotypes.

This study examines age-related changes in PSMD across the adult lifespan using multi-cohort diffusion tensor imaging data, finding PSMD increases consistently while other metrics show different age patterns.

This study assesses the reproducibility of manual segmentation of the pyramidal tract in diffusion MRI tractography across experts and non-experts, finding voxel-wise measures more reproducible than streamline-wise ones.

The paper identifies a new white matter tract, the superoanterior fasciculus, using diffusion MRI tractography and validates it across multiple cohorts and techniques.

The paper creates an atlas of 32 sentence-related brain areas using task-induced activation and resting-state connectivity analysis in healthy right-handers.

The paper constructs a population-based atlas of the human pyramidal tract using diffusion MRI and a new tractography algorithm, showing improved resolution of cortico-lateral projections.

The paper evaluates tractography methods by analyzing a simulated dataset, finding that most algorithms generate many false-positive connections.

This paper applies deep learning to fiber tractography, showing models can generate streamlines from DWI data and outperform traditional methods in accuracy and false connection control.