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Electroconvulsive Therapy

Electroconvulsive Therapy

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...

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Optimizing Electroconvulsive Therapy With E-Field Modeling: A Narrative Review.

Caili Ren, Simon Kung¹, Paul E Croarkin¹

¹Mayo Clinic, Department of Psychiatry and Psychology, Rochester, MN.

The Journal of ECT

|January 24, 2025

Summary

This summary is machine-generated.

Electroconvulsive therapy (ECT) uses electric field (E-field) modeling to optimize treatment for severe depression. This approach aims to enhance therapeutic benefits while minimizing cognitive side effects for better patient outcomes.

Keywords:

E-field modeling ECT cognitive side effects dose optimization individualized treatment major depressive disorder

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Area of Science:

Neuroscience
Psychiatry
Biomedical Engineering

Background:

Electroconvulsive therapy (ECT) is a vital treatment for severe and treatment-resistant depression.
Cognitive side effects are a concern, necessitating precise dosing.
Electric field (E-field) modeling offers a novel approach to optimize ECT parameters.

Purpose of the Study:

To review current knowledge on E-field modeling in ECT.
To explore the clinical applications of E-field modeling for optimizing ECT.
To discuss the impact of E-field variability on clinical outcomes and neuroplasticity.

Main Methods:

Synthesis of existing literature on E-field modeling in ECT.
Analysis of studies examining E-field strength and distribution.
Review of translational research on E-field-informed ECT.

Main Results:

E-field modeling reveals significant variability in induced E-field strengths and distributions.
E-field characteristics correlate with clinical outcomes and neuroplasticity.
Individualized optimal amplitude dosing informed by E-field models shows promise.

Conclusions:

E-field modeling provides critical insights for optimizing ECT dosing.
This approach can improve ECT efficacy and reduce adverse cognitive effects.
E-field modeling is a valuable tool for guiding future ECT research and clinical practice.