Functional and Structural Connectivity of Brain Networks

The research focuses on multiscale analysis of brain connectivity, combining experimental data (e.g., calcium/voltage imaging, optogenetics, multi-electrode recordings) with computational approaches based on complex network theory and machine learning.

A central aim is to identify neural “hubs” and understand their role in orchestrating brain dynamics under both physiological and pathological conditions.

The group develops and applies advanced imaging and analytical techniques to detect connectivity patterns within GABAergic circuits and across the brain’s global network.

The studies aim to link microscopic cellular mechanisms to large-scale network behavior, contributing to the understanding of brain function and dysfunction (e.g., epilepsy, aging, developmental disorders).

Methodologies are applied both in vitro and in vivo, as well as to human data through functional magnetic resonance imaging (fMRI), tractography, and intracranial recordings. Bonifazi also contributed to the development of the Brain Hierarchical Atlas and models connecting neurogenesis timing to brain network topology.