Higher cognitive brain functions emerge from coherent activity of large-scale neuronal networks distributed all over the brain. These networks reorganize dynamically on a sub-second time scale to adapt to the rapid flow of internal mentation and external stimulation. Understanding the mechanisms underlying the rapid temporal dynamics of these large-scale networks in the healthy brain and the malfunctions in different diseases is the principal aim of our research.
Electromagnetic imaging based on high-density EEG is our principal instrument. We work on the development of spatio-temporal signal analysis techniques that allow characterizing information flow in brain networks. In order to enhance spatial resolution, functional MRI as well as direct intracranial recordings in patients are integrated. We are also interested in influencing networks by transcranial or intracranial magnetic or electric stimulation.
In a translational approach we also work on animal models of large-scale networks in order to study the mechanisms underlying information flow on a finer spatial scale. High-density whole-scalp EEG in mice and rats combined with intracortical LFP and MU recordings are used for this purpose.
Our major clinical applications concern epilepsy and psychiatric disorders like schizophrenia, autism, and depression.