Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy
- Conditions
- Treatment Resistant Depression
- Registration Number
- NCT05905705
- Lead Sponsor
- Washington University School of Medicine
- Brief Summary
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.
- Detailed Description
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.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 50
- Referral for initial ECT index course for Treatment-Resistant Depression (TRD), unipolar major depressive disorder or bipolar depression. Historic failure of response or remission to at least two antidepressant medications of sufficient dose and duration will be used for TRD diagnostic.
- Diagnoses of schizophrenia or schizoaffective disorders.
- Subjects who are unable to tolerate the Dreem device for sleep recordings will be excluded from the study.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Slow wave activity (SWA) during non-rapid eye movement sleep (NREM) stage N2/N3 Up to 4 weeks during patients ECT treatment course Total power of EEG slow waves per minute present during N2/N3 sleep
Graph-based neural connectivity measure of local efficiency of information transfer (Elocal) during wakefulness Up to 4 weeks during patients ECT treatment course Elocal will be calculated as the average inverse shortest path length among neighbors of a node within the network. Nodes will be constructed based on 5-minute recordings of eyes closed wakefulness theta band (4-8 Hz) EEG.
Graph-based neural connectivity measure of global information transfer (Eglobal) during ECT-induced seizure Up to 4 weeks during patients ECT treatment course Eglobal will be calculated as the average inverse shortest path length between node pairs in the networks. Nodes will be constructed based on ECT-induced seizure EEG data within the alpha band (8-13 Hz).
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Washington University School of Medicine/Barnes-Jewish Hospital
🇺🇸Saint Louis, Missouri, United States