Rosella Ciurleo

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.

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

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.