Connectivity Dependent Effects in Cognitive Neurodynamics of Mental Disorders
Computational modeling was applied to investigate how cortical neurodynamics may depend on network connectivity. In particular, we study effects of pruning of cortical networks, which may be related to the onset of different mental disorders. In addition, we study changes in EEG pattern of depressed 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 intended to provide clinical guidance, predicting ECT dose and response in depressed patients. Finally, we discuss the relevance of these results to clinical and experimental neuroscience and speculate on a link between neural instability and mental disorders.
KeywordsNeurodynamics network connectivity EEG ECT pruning mental disorder computational models
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