Connectivity Dependent Effects in Cognitive Neurodynamics of Mental Disorders

Computational modeling was applied to investigate how cortical neu-rodynamics may depend on network connectivity. In particular, we study ef-fects of pruning of cortical networks, which may be related to the onset of dif-ferent mental disorders. In addition, we study changes in EEG pattern of de-pressed patients, following ECT (electroconvulsive therapy). The aim is to gain a better understanding of the neural mechanisms responsible for these changes, which include phase shifts in the EEG dynamics. This understanding is in-tended to provide clinical guidance, predicting ECT dose and response in de-pressed patients. Finally, we discuss the relevance of these results to clinical and experimental neuroscience and speculate on a link between neural instabil-ity and mental disorders