Francesco Alberti

This study shows early sensory deprivation causes localized reorganization near deprived primary sensory areas while preserving the overall cortical hierarchy.

The paper tests if cortical geometry encodes sensory function by modeling multisensory integration from geometric eigenmodes, finding they align with sensory domains but require additional modes for full hierarchy.

The paper introduces SCD to analyze spatial influences on cortical functional specialization, revealing a dominant gradient and competitive suppression from other brain regions.

The paper uses kriging to show that task-induced brain activity increases can be predicted from activity decreases, revealing topographically determined antagonistic relationships.

The paper uses predictive modeling to show that stronger oral reading ability correlates with closer proximity between visual and association cortex in the brain.

This study links functional connectivity profiles to fluid intelligence using dimensionality reduction and graph analysis, showing that functional distance from sensory and high-cognition systems correlates with intelligence.

The paper predicts individual brain activity patterns during tasks using resting-state networks, showing task-specificity and relevance of cortical microstructure/morphology.

This study compares machine learning models using functional connectivity and its derivatives to predict schizophrenia, finding that raw connectivity outperforms low-dimensional features.