NCT05905705

Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 50 (estimated)
• Sponsor: Washington University School of Medicine · Academic / Other
• Sex: All
• Age: 21 Years – 65 Years
• Healthy volunteers: —

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.

Conditions

• Treatment Resistant Depression

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Electroencephalography (EEG)	High-density EEG will be acquired during resting wakefulness before each ECT session.
DIAGNOSTIC_TEST	Quantitative Measurements of Sleep Microstructure	Overnight sleep EEG will be recorded one day before each ECT session using the DREEM device. The DREEM device allows continuous recording of multichannel EEG.

Timeline

• Start date: 2023-03-07
• Primary completion: 2027-07-31
• Completion: 2027-07-31
• First posted: 2023-06-15
• Last updated: 2026-03-12

Locations

1 site across 1 country: United States