The work of "EEG and MEG: Signal analysis and modeling-group (short MEG-group) " is especially dedicated to the application of Magnetoencephalography (MEG) to neurocognitive research. On the other hand, our interest is not restricted to applications of the MEG method, instead a combination of different views provided by other methods like funtional magnetic resonance (fMRI), electroencephalography (EEG), and as well as diffusion tensor imaging (DTI) will be of special advantage for our cognitive brain research.
The performance of the brain is based on an interplay between functional segregation and functional integration of neural populations within complex networks. The anatomical basis of these networks can be revealed by means of diffusion weighted magnetic resonance imaging. The dynamic interaction between neural populations is investigated using models of neuronal masses and neuronal fields. The combination of these techniques with functional measurements and neurophysiological experiments opens up new perspectives for studying the mechanisms underlying cognitive functions.