Simona Schiavi

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.

This paper introduces a weighted generative model of the human connectome that captures both topology and edge-weights, showing improved accuracy over previous 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 clinical diffusion MRI protocol to enable SANDI modeling in 10 minutes, demonstrating its feasibility and potential impact on multiple sclerosis patients.

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.

The paper predicts resting-state functional connectivity using microstructural metrics and finds that streamline count and myelin measures yield the most accurate predictions.

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

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