International Graduate School of Neuroscience

Research Interests

In the Department of Neurostimulation and the associated Computational Neurology Research Group (both led by Prof. Dr. Xenia Kobeleva), we address clinically relevant questions in neuropsychiatry using computational methods (i.e., new algorithms and models, as well as artificial intelligence and machine learning).

We analyze clinical and neuroimaging data using data-driven modeling (e.g., machine learning) and theory-based modeling (e.g., mathematical models such as whole-brain network models). The integration of both types of models contributes to a better and more robust understanding of the pathophysiological processes underlying neuropsychiatric disorders.

By pilot clinical trials, the resulting insights can be translated to the clinic and thus advance diagnosis and treatment (especially neurostimulation).