Alessandro Daducci

This study links brain microstructure to neural dynamics by showing that white and grey matter properties significantly correlate with propagation delays measured via MEG.

The paper examines fibre organisation in white matter across species and anatomical scales using diffusion MRI and x-ray synchrotron imaging, finding common structural principles despite species-specific variations.

This paper introduces a novel method to map the aggregate g-ratio of white matter tracts using multi-modal MRI and compares it to conventional tractometry in healthy adults.

This study examines age-related changes in microstructure-informed cortical networks using diffusion MRI data from 8-18 year olds, finding increased global efficiency and mean strength in specific networks.

The paper characterizes weighted structural brain networks using white matter microstructural features to improve structure-function models.

The paper evaluates tractography methods using a macaque dataset to determine optimal approaches for mapping brain pathways from multi-shell diffusion MRI.

This paper introduces a robust tractogram filtering method that accounts for motion artefacts in diffusion MRI, validated with simulations and infant data, showing improved structural connectivity and microstructural analyses.

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 paper introduces a method for fetal diffusion MRI reconstruction with intensity correction, enabling detailed analysis of brain connectivity and microstructure in-utero.

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.

The paper improves tractography by reducing false positives using anatomical priors and group-sparsity regularization in a convex optimization framework.

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.

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

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

The paper describes an automated processing and quality control pipeline for brain imaging data from the first 10,000 UK Biobank participants.

The paper introduces regseg, a surface-driven registration method for diffusion MRI that improves structural segmentation accuracy by mapping T1w surfaces to dMRI data, achieving sub-resolution error.

Diffantom provides whole-brain diffusion MRI phantoms derived from Human Connectome Project data, enabling open sharing and generation of new phantoms.