People

Extraction of morphological networks based on structural MRI, analysing network measures that can help in providing neuroimaging makers for dementia.

My research interests are focused on Complexity issues. In general, the complex systems that I research involve Coupled Dynamical Systems, namely, many non-trivially interacting sub-systems. I try to measure, explain, and/or predict their collective behaviour (for example, the emergence of synchronization or chaotic dynamics) in terms of how they are inter-connected, namely, in terms of the topological features of the underlying network topology (i.e., Graph Theory).

In particular, I am fascinated by Network Neuroscience research, where Complexity challenges abound -- neurons in the brain create a myriad of dynamical behaviours due to their intricate connectivity in order for us to function and our observations can only access these behaviours by indirect measurements (such as EEGs or MRIs). What happens when a disease affects the brain connectivity? How do we manage to infer the connectivity from indirect measurements? What can we say about the different states of consciousness? How can we develop/improve methods to understand all these issues? These (and other) questions are the ones that I am currently interested in answering.