Evidence map›Paper›PMID 36405897›Full record

ArticleFrontiers in psychiatry2022

Correlating electroconvulsive therapy response to electroencephalographic markers: Study protocol.

Subha Subramanian, Alyssa K Labonte, Thomas Nguyen, Anhthi H Luong, Orlandrea Hyche, S Kendall Smith, R Edward Hogan, Nuri B Farber, Ben Julian A Palanca, MohammadMehdi Kafashan and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05905705 (Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05905705 recruitingnot on this mapstarted 2023, after this paper: background citation

Disruptions of Brain Networks and Sleep by Electroconvulsive Therapy

TypeobservationalSponsorWashington University School of MedicineRan2023 to 2027Enrolled50ConditionsTreatment Resistant DepressionArmsElectroencephalography (EEG), Quantitative Measurements of Sleep Microstructure
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Subha SubramanianDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Alyssa K LabonteDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Thomas NguyenDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Anhthi H LuongDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Orlandrea HycheDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
S Kendall SmithDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
R Edward HoganDepartment of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Nuri B FarberDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Ben Julian A PalancaDepartment of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
MohammadMehdi KafashanDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
CET-REM Study Group
Washington University in St. Louis · USBerenson Allen Center for Noninvasive Brain Stimulation · US

Funding

PHARMacist and Community Health Support to Optimize Medications After Trauma Surgery (PHARM-C)P50MH122351 · NIMH · WASHINGTON UNIVERSITY · PI SHANNON NICOLE LENZE · 2021 to 2026
$10.8M
Disruptions of Brain Networks and Sleep by Electroconvulsive TherapyK01MH128663 · NIMH · WASHINGTON UNIVERSITY · PI MohammadMehdi Kafashan · 2022 to 2026
$792k
NIMH NIH HHS K01 MH128663NIMH NIH HHS P50 MH122351
6 · The paper itself

Abstract

Introduction: Electroconvulsive therapy (ECT) is an effective intervention for patients with major depressive disorder (MDD). Despite longstanding use, the underlying mechanisms of ECT are unknown, and there are no objective prognostic biomarkers that are routinely used for ECT response. Two electroencephalographic (EEG) markers, sleep slow waves and sleep spindles, could address these needs. Both sleep microstructure EEG markers are associated with synaptic plasticity, implicated in memory consolidation, and have reduced expression in depressed individuals. We hypothesize that ECT alleviates depression through enhanced expression of sleep slow waves and sleep spindles, thereby facilitating synaptic reconfiguration in pathologic neural circuits. Methods: Correlating ECT Response to EEG Markers (CET-REM) is a single-center, prospective, observational investigation. Wireless wearable headbands with dry EEG electrodes will be utilized for at-home unattended sleep studies to allow calculation of quantitative measures of sleep slow waves (EEG SWA, 0.5-4 Hz power) and sleep spindles (density in number/minute). High-density EEG data will be acquired during ECT to quantify seizure markers. Discussion: This innovative study focuses on the longitudinal relationships of sleep microstructure and ECT seizure markers over the treatment course. We anticipate that the results from this study will improve our understanding of ECT.

Indexed as

depressionelectroconvulsive therapy (ECT)electroencephalography (EEG)seizuresleepsleep spindleslow wave (NREM) sleep

Identifiers

PMID36405897
PMCPMC9670172
OpenAlexW4309654785

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.