Emanuele Olivetti

BundleWarp improves white matter tractometry by aligning tracts while preserving anatomical features, enhancing sensitivity to disease-related changes in conditions like Alzheimer's and Parkinson's.

The paper uses tractography to show that FEF connects to dorsal visual streams and IFJ to ventral visual streams, supporting their roles in spatial and non-spatial processing.

This study uses fMRI meta-analysis to determine the localization and coactivation patterns of the Frontal Eye Field and Inferior Frontal Junction, revealing their functional connectivity and behavioral roles.

This work evaluates how white matter registration methods affect tractogram alignment using homologous fiber structures as a benchmark.

The paper decodes visual imagery from brain connectivity patterns, showing content-specific feature integration and top-down processing during internally generated images.

Classifyber improves white matter bundle segmentation by combining atlas, connectivity, and geometry data into a linear model, showing robustness across diverse datasets.