The performance of the brain is based on an interplay between functional segregation and functional integration von 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.

The work of "EEG and MEG: Signal analysis and modeling-group (short MEG-group) " is especially dedicated to the application of Magnetoencephalography (MEG) to neurocognitice research. On the other hand our interest is not be restricted 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 NMR Unit is primarily engaged in the development and adaptation of novel magnetic resonance (MR) methods and research into the fundamental biophysics underlying neuroimaging contrast. We are particularly interested in contrast mechanisms that can be exploited for functional MR imaging (fMRI), mapping of perfusion by arterial spin labeling, and quantitative structural imaging. Pure methodological research besides imaging sequence development also comprises in-house construction of hardware including multi-channel radiofrequency (RF) coils and stimulation devices for fMRI. Support and sophistication of the MR infrastructure ensures that functional and structural MR studies performed at the Institute reflect the current state of the art.