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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.
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http://dx.doi.org/10.1097/YCT.0000000000001111 | DOI Listing |
J Comput Neurosci
September 2025
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.
Transcranial alternating current stimulation (tACS) enables non-invasive modulation of brain activity, holding promise for cognitive research and clinical applications. However, it remains unclear how the spiking activity of cortical neurons is modulated by specific electric field (E-field) distributions. Here, we use a multi-scale computational framework that integrates an anatomically accurate head model with morphologically realistic neuron models to simulate the responses of layer 5 pyramidal cells (L5 PCs) to the E-fields generated by conventional M1-SO tACS.
View Article and Find Full Text PDFACS Nano
September 2025
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
A combination of experiments and optical modeling provided insight into the mechanism of mesoscale woodpile formation in response to an orthogonal shift in polarization during photoelectrochemical deposition of Se-Te. Cathodic deposition of semiconducting Se-Te using spatially uniform, linearly polarized illumination produced arrays of lamellae that were aligned parallel to the optical E-field oscillation. Continued deposition in conjunction with an orthogonal shift in the polarization direction then produced aligned bridging features that spanned the void space between, and were orthogonal to, the preexisting lamellae.
View Article and Find Full Text PDFJ Psychiatr Res
August 2025
The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China. Electronic
Background: Electroconvulsive therapy (ECT) provides rapid relief of depressive symptoms. However, the relationship between intracranial electric field (E-field) distribution, dosage, and antidepressant outcomes remains underexplored.
Methods: Thirty patients with depressive episodes received bifrontal ECT.
Imaging Neurosci (Camb)
February 2025
Section for Magnetic Resonance, DTU Health Tech, Technical University of Denmark, Kgs Lyngby, Denmark.
Calculations of the electric field (-field) are important for addressing the variability in the physical dose of transcranial electric stimulation (tES). These calculations rely on precise knowledge of the individual head and brain anatomy and on choosing the appropriate ohmic conductivities for the different tissue compartments. In particular, the conductivity of brain white matter and to a lesser extent gray matter is anisotropic.
View Article and Find Full Text PDFImaging Neurosci (Camb)
January 2025
Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
Transcranial Magnetic Stimulation (TMS) coil placement and pulse waveform current are often chosen to achieve a specified E-field dose on targeted brain regions. TMS neuronavigation could be improved by including real-time accurate distributions of the E-field dose on the cortex. We introduce a method and develop software for computing brain E-field distributions in real-time enabling easy integration into neuronavigation and with the same accuracy as -order finite element method (FEM) solvers.
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