Mark C. Nelson

This study investigates how 16p11.2 copy number variations affect white matter structure by analyzing axonal and myelin volume and g-ratio across different cohorts.

This study integrates multi-feature white matter connectivity into structure-function brain models, showing that myelin strongly predicts functional connectivity across brain regions and timescales.

This study shows how white matter myelin and tract caliber influence large-scale brain communication by shaping distinct functional connectivity patterns.

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.

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

Micapipe is an open pipeline for processing multimodal MRI data, generating structural and functional connectomes, geodesic distances, and microstructural profiles across multiple brain parcellations and surface spaces.