Using the EEG to diagnose the bipolar affective disorder
Kazan Federal University, Russia
It is shown that analyzing a dynamical and spectral behavior of EEG signals can identify the bipolar affective disorder (BAD). Using the Memory function formalism method we discover that the structure of the phase clouds was significantly deformed for BAD patients in comparison with the healthy group. Also we have found the clear differences in types of EEG spectral behavior and in strength of statistical memory effects.