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Related Concept Videos

Electroconvulsive Therapy01:30

Electroconvulsive Therapy

115
Electroconvulsive therapy (ECT), or shock therapy, remains a critical biomedical intervention for severe, treatment-resistant depression. While its origins can be traced back to Hippocrates' observations that malaria-induced convulsions alleviated mental illness, modern ECT has evolved significantly from its earlier, more primitive applications. First introduced in 1938 by Ugo Cerletti and his colleagues, ECT involves inducing controlled seizures using electrical currents. In its early...
115

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Related Experiment Video

Updated: Aug 20, 2025

Pupillary Response as Assessment of Effective Seizure Induction by Electroconvulsive Therapy
04:51

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Correlating electroconvulsive therapy response to electroencephalographic markers: Study protocol.

Subha Subramanian1,2,3, Alyssa K Labonte4,5, Thomas Nguyen4

  • 1Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.

Frontiers in Psychiatry
|November 21, 2022
PubMed
Summary
This summary is machine-generated.

Electroconvulsive therapy (ECT) may improve major depressive disorder (MDD) by enhancing sleep slow waves and sleep spindles. This study investigates these electroencephalographic (EEG) markers to understand ECT mechanisms and predict treatment response.

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

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Area of Science:

  • Neuroscience
  • Sleep Medicine
  • Psychiatry

Background:

  • Electroconvulsive therapy (ECT) is an effective treatment for major depressive disorder (MDD), but its mechanisms remain unclear.
  • Objective biomarkers for predicting ECT response are lacking.
  • Sleep microstructure, including slow waves and spindles, is linked to synaptic plasticity and reduced in depression.

Purpose of the Study:

  • To investigate the hypothesis that ECT enhances sleep slow waves and sleep spindles, facilitating synaptic reconfiguration.
  • To explore the relationship between ECT response and changes in sleep microstructure.
  • To identify potential electroencephalographic (EEG) biomarkers for ECT efficacy.

Main Methods:

  • The Correlating ECT Response to EEG Markers (CET-REM) study is a prospective, observational investigation.
  • Wireless wearable headbands with dry EEG electrodes will be used for at-home sleep monitoring.
  • Quantitative measures of sleep slow waves (EEG SWA) and sleep spindles will be calculated, alongside high-density EEG seizure markers during ECT.

Main Results:

  • This section is to be filled once the study is completed.

Conclusions:

  • This study aims to elucidate the neurobiological underpinnings of ECT by examining sleep microstructure.
  • Findings are expected to enhance understanding of ECT mechanisms and potentially identify novel biomarkers for treatment response in MDD.