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Optimizing Electroconvulsive Therapy With E-Field Modeling

delete2025-12-01
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PRE
AI
C
Caili Ren
S
Simon Kung
P
Paul E. Croarkin
A
Alexander Opitz
B
Brent P. Forester
A
Adriana P. Hermida
M
Martina Mueller
S
Sandeep R. Pagali
G
Georgios Petrides
S
Stephen J. Seiner
I
Isabel A. Yoon
M
Maria I. Lapid *
DOI:10.1097/YCT.0000000000001111delete
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Abstract

Abstract

En 中文
Electroconvulsive therapy (ECT) is an effective treatment for severe depression, especially in treatment-resistant cases. However, its potential cognitive side effects necessitate careful dosing to balance therapeutic benefits and cognitive stability. Recent advances in electric field (E-field) modeling offer promising avenues to optimize ECT dosing. This review synthesizes current knowledge on E-field modeling in ECT and explores its clinical applications. It examines the variability in E-field strengths and distributions induced by ECT and their impact on clinical outcomes. Additionally, the relationship between E-field strengths, neuroplasticity, and therapeutic efficacy is discussed. Translational studies of E-field-informed ECT are highlighted, emphasizing individualized optimal amplitude dosing and potential clinical applications. This review provides useful insights into how E-field modeling can improve the effectiveness of ECT while minimizing adverse effects, helping guide future research and clinical practice.
Keywords:
ECT
E-field modeling
major depressive disorder
cognitive side effects
dose optimization
individualized treatment

Journal

J
Journal of ECT
IF:
1.8
Papers:
79
Citations:
2.0K

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M
Mayo Clinic
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tufts university
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Tufts Medical Center
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McLean Hospital
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Jiangnan University
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university of minnesota twin cities
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emory university
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4.2K
Papers: 1.6K
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