During cognitive activities, various brain areas interact with each other. Such brain connectivity can be studied at three diffrerent levels: a) anatomical connectivity, b) functional connectivity, and c) effective connectivity.
The goal of this thesis is to evaluate various measures of functional and effective connectivty based on signal processing techniques and the multivariate autoregressive model (e.g. partial coherence, directed transfer function, partial directed coherence, etc.).For that, firstly the methods should be implemented.Afterwards, the implemented methods should be tested on the simulated EEG data. Finally the implemented methods should be tested and evaluated on the real EEG data.