Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy (DNS-ECT)
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ClinicalTrials.gov Identifier: NCT05905705 |
Recruitment Status :
Recruiting
First Posted : June 15, 2023
Last Update Posted : June 15, 2023
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Condition or disease | Intervention/treatment |
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Treatment Resistant Depression | Diagnostic Test: Electroencephalography (EEG) Diagnostic Test: Quantitative Measurements of Sleep Microstructure |
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.
Study Type : | Observational |
Estimated Enrollment : | 50 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
Official Title: | Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy |
Actual Study Start Date : | March 7, 2023 |
Estimated Primary Completion Date : | July 31, 2027 |
Estimated Study Completion Date : | July 31, 2027 |

- 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.
- Slow wave activity (SWA) during non-rapid eye movement sleep (NREM) stage N2/N3 [ Time Frame: 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 [ Time Frame: 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 [ Time Frame: 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).

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Ages Eligible for Study: | 21 Years to 65 Years (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- 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.
Exclusion Criteria:
- Diagnoses of schizophrenia or schizoaffective disorders.
- Subjects who are unable to tolerate the Dreem device for sleep recordings will be excluded from the study.

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05905705
Contact: Alec Hester | 314-273-0901 | alech@wustl.edu |
United States, Missouri | |
Washington University School of Medicine/Barnes-Jewish Hospital | Recruiting |
Saint Louis, Missouri, United States, 63110 | |
Contact: Alec Hester 314-273-0901 alech@wustl.edu |
Principal Investigator: | MohammadMehdi Kafashan | Washington University School of Medicine in St. Louis |
Responsible Party: | MohammadMehdi Kafashan, Instructor, Washington University School of Medicine |
ClinicalTrials.gov Identifier: | NCT05905705 |
Other Study ID Numbers: |
202204161 K01MH128663 ( U.S. NIH Grant/Contract ) |
First Posted: | June 15, 2023 Key Record Dates |
Last Update Posted: | June 15, 2023 |
Last Verified: | June 2023 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | Undecided |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Depressive Disorder, Treatment-Resistant Depressive Disorder Mood Disorders Mental Disorders |