Alexandre Cionca

This study evaluates microstructure-weighted connectomes using diffusion MRI data and finds that DePerp provides the most consistent structure-function coupling across spatial scales.

This study examines how attention mechanisms influence cerebellar and basal ganglia activity during explicit and implicit vocal emotion decoding tasks using fMRI.

This paper introduces directed connectomics using bicommunities to reveal asymmetric pathways in brain networks and validates them with electrophysiological data.

This study examines how cerebellar stroke affects vocal emotion recognition under different attentional demands using behavioral, computational, and neuroimaging methods.

This paper develops a whole-brain model to predict conduction velocity from MRI-derived microstructural features, explaining 29% of variance in neurophysiological conduction velocity.