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Electroconvulsive therapy (ECT) alleviates treatment-resistant depression (TRD) through repeated generalized seizures. The goal of this study is to evaluate how ECT impacts sleep-wake regulation and efficiency of information transfer in functional networks in different states of arousal.
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Graph-based network analyses of electroencephalographic (EEG) signals allow characterization of functional networks. The robustness of local networks to disruption is quantified as local efficiency (Elocal), while network integration is quantified as global information transfer (Eglobal).
Aim 1: Assess relationships between sleep slow-wave activity (SWA) and awake Elocal over the course of ECT.
Aim 2: Quantify relationships between depression severity and awake Elocal over the course of ECT.
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Robby Greenspan; MohammadMehdi Kafashan
Data sourced from clinicaltrials.gov
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