Alessia Bramanti

Effects of diffusion signal modeling and segmentation approaches on subthalamic nucleus parcellation

The paper evaluates how different diffusion signal modeling and segmentation methods affect subthalamic nucleus parcellation, finding that multi-fiber modeling with fiber density thresholding improves between-subject similarity.

Unsupervised clustering of track-weighted dynamic functional connectivity reveals white matter substrates of functional connectivity dynamics

This study uses track-weighted dynamic functional connectivity to identify white matter components associated with functional connectivity dynamics and cognitive performance.

Ventral Intermediate Nucleus structural connectivity-derived segmentation: anatomical reliability and variability

This study evaluates parcellation pipelines for identifying the ventral intermediate nucleus (Vim) using tractography, finding that higher-order modeling and threshold-based classification yield the most reliable results despite inter-subject variability.

In vivo super-resolution track-density imaging for thalamic nuclei identification

This paper introduces a novel imaging protocol using short-tracks track-density imaging to identify thalamic nuclei in vivo with high reliability.