1. Functional and structural connectivity of brain networks
The research focuses on multi-scale analysis of brain circuit connectivity, integrating experimental and computational data. Particular attention is given to the identification of neural “hubs” and functional patterns through optical imaging (calcium and voltage), optogenetics, multi-electrode recordings, and network analysis techniques. The studies aim to understand brain network organization under physiological and pathological conditions.
2. Neural circuits in experimental models of epilepsy
Development and use of experimental epilepsy models (mouse models and human intracranial data) to investigate mechanisms of pathological synchronization. The research includes the use of functional imaging and optogenetics to analyze GABAergic connectivity and the impact of inflammation (e.g., STAT3 inhibition) on epilepsy progression. Ongoing collaborations with clinical centers for the study of patients with intracranial electrodes (sEEG).
3. Neuroengineering and bio-artificial interfaces
Study and development of bio-artificial neural interfaces based on optogenetics, ultra-fast sensors, and neuromorphic technologies. The aim is to enable real-time bidirectional communication between biological neuronal networks and artificial systems, with potential applications in neuroprosthetics and rehabilitation.
4. Astrocytes and network connectivity
Investigation of the role of astrocytes in regulating connectivity and synchronization of neural circuits. Research has shown that functional network recovery can occur through glial intervention, suggesting new therapeutic approaches for conditions such as ataxia-telangiectasia and developmental disorders.
5. Computational neuroscience and complex network analysis
Development and application of mathematical tools and computational models to study neural networks, with a focus on complex networks, information theory, and machine learning. The goal is to understand the emergence of collective properties in neural systems and to identify quantitative markers for brain pathologies.
