François Rheault

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

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 maps short-range prefrontal connections in the human brain using tractography informed by primate histology, achieving high precision and accuracy.

sf-pediatric provides an age-adaptable dMRI pipeline for pediatric studies, improving modeling and reproducibility across brain development.

This study compares the orientation of white matter nerve fibers and vasculature in the human brain using diffusion MRI and susceptibility weighted imaging, finding that vasculature aligns with some but not all white matter tracts.

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

This study evaluates the impact of distortion correction and cardiac triggering on spinal cord diffusion MRI quality, finding that distortion correction has limited effectiveness and cardiac triggering can be omitted without significant quality loss.

The paper characterizes lifespan changes in white matter microstructure, macrostructure, and associated cortical morphology using large datasets, finding unique developmental and aging trajectories across brain pathways.

The paper evaluates the reliability and variability of diffusion- and myelin-based MRI measurements across multiple sessions and fiber populations, finding moderate to high reliability for diffusion measures and bundle-dependent variability.

The paper investigates BOLD signal changes in both white and gray matter using model-free analysis and simple tasks, finding time-locked activations across the whole brain.

The paper analyzes longitudinal MRI data from 1,293 subjects to study age-related changes in superficial white matter microstructure and U-fiber volume and length.

TractoInferno provides a large-scale, multi-site database for benchmarking machine learning tractography methods using standardized data and evaluation protocols.

This study quantifies superficial white matter volume and thickness across the lifespan using large datasets, finding unique age-related changes and relationships with cortical features.

The paper quantifies resting-state BOLD hemodynamic response functions (HRF) in white matter, showing significant differences from gray matter and variation along WM pathways.

This study analyzes diffusion MRI data from 1184 participants to quantify age-related changes in white matter microstructure and macrostructure, finding that macrostructural features show more heterogeneous age-related decline.

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.

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 evaluates how scanner, vendor, resolution, diffusion scheme, and segmentation workflow variations affect diffusion tractography bundle segmentation results.

This study shows that free water elimination improves the detection of age-related cingulum changes linked to verbal fluency decline in elderly individuals.

The paper presents a population-based white matter atlas derived from diffusion MRI fiber tractography, including 216 bundles from 2443 subjects.

The paper examines associations between white matter microstructure and Aβ/tau pathology in specific brain bundles in at-risk older adults, finding diffusion metrics linked to Aβ and tau levels at cortical endpoints.

TractoFlow-ABS improves tractography in pathological brains by using an atlas-based segmentation approach to avoid white matter mask holes caused by lesions.

TractoFlow is a diffusion MRI pipeline that ensures reproducibility and efficiency using Nextflow and Singularity, achieving high reproducibility and processing large datasets quickly.

The paper evaluates tractography reproducibility using empirical data from a single healthy volunteer scanned on two scanners, finding high consistency among top algorithms but variability due to tract volume containment.

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 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.

This study evaluates modern diffusion tractography methods using a standardized challenge, finding no significant improvement in anatomical accuracy despite methodological advances.

This paper introduces a bundle-specific tractography algorithm to improve fornix reconstruction in MRI, enabling combined tractometry with dual-tracer PET in MCI patients.

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