Evidence map›Paper›PMID 39185880›Full record

ArticleThe journal of ECT2025

Computational Models of High-Definition Electroconvulsive Therapy for Focal or Multitargeting Treatment.

Niranjan Khadka, Zhi-De Deng, Sarah H Lisanby, Marom Bikson, Joan A Camprodon

Abstract read
In one paragraph

Article in The journal of ECT, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Niranjan KhadkaDivision of Neuropsychiatry and Neuromodulation, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-4930-5214
Zhi-De DengNoninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD.
Sarah H LisanbyNoninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD.
Marom BiksonDepartment of Biomedical Engineering, The City College of New York, CUNY, NY.
Joan A CamprodonDivision of Neuropsychiatry and Neuromodulation, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Tim Alan Ahles, ADRIANA ESPINOSA · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Daniel Alan Heller · 2008 to 2026
$28.1M
A Transdiagnostic Assessment of Electroconvulsive Therapy Modulation of Anhedonia and Reward circuitry: Targets, Biomarkers and Predictors of ResponseR01MH112737 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CAMPRODON, JOAN A · 2017 to 2021
$3.8M
A tool-box to control and enhance tDCS spatial precisionR01MH111896 · NIMH · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2016 to 2019
$2.2M
Suicide Circuit Therapeutics: Engaging Novel Targets with Rapid and Individualized MRI-Guided Accelerated TMSR61MH132869 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CAMPRODON, JOAN A · 2023 to 2024
$2.1M
Open-source computational modeling of Spinal Cord Stimulation (SCS) to enhance dissemination of 1R01NS112996R01NS112996 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2020 to 2024
$2.0M
The coupled vascular hypothesis for transcranial direct current stimulation (tDCS)R01NS101362 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2017 to 2021
$1.7M
Individualized Closed-Loop Neuromodulation Therapy for Alzheimer's DiseaseR21AG078692 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI CAMPRODON, JOAN A, DICKERSON, BRADFORD C · 2022 to 2023
$469k
Mechanisms of Deep Brain Stimulation: Joule Heating and ElectroporationR03NS054783 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2007 to 2008
$153k
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002955NCI NIH HHS U54 CA132378NCI NIH HHS U54 CA137788NIA NIH HHS R21 AG078692NIMH NIH HHS R01 MH111896NIMH NIH HHS R01 MH112737NIMH NIH HHS R61 MH132869NINDS NIH HHS R01 NS101362NINDS NIH HHS R01 NS112996NINDS NIH HHS R03 NS054783
6 · The paper itself

Abstract

abstractAttempts to dissociate electroconvulsive therapy (ECT) therapeutic efficacy from cognitive side effects of ECT include modifying electrode placement, but traditional electrode placements employing 2 large electrodes are inherently nonfocal, limiting the ability to selectively engage targets associated with clinical benefit while avoiding nontargets associated with adverse side effects. Limited focality represents a technical limitation of conventional ECT, and there is growing evidence that the spatial distribution of the ECT electric fields induced in the brain drives efficacy and side effects. Computational models can be used to predict brain current flow patterns for existing and novel ECT montages. Using finite element method simulations (under quasi-static, nonadaptive assumptions, 800-mA total current), the electric fields generated in the superficial cortex and subcortical structures were predicted for the following traditional ECT montages (bilateral temporal, bifrontal, right unilateral) and experimental montages (focal electrically administered seizure therapy, lateralized high-definition [HD]-ECT, unilateral 4 × 1-ring HD-ECT, bilateral 4 × 1-ring HD-ECT, and a multipolar HD-ECT). Peak brain current density in regions of interest was quantified. Conventional montages (bilateral bifrontal, right unilateral) each produce distinct but diffuse and deep current flow. Focal electrically administered seizure therapy and lateralized HD-ECT produce unique, lateralized current flow, also impacting specific deep regions. A 4 × 1-ring HD-ECT restricts current flow to 1 (unilateral) or 2 (bilateral) cortical regions. Multipolar HD-ECT shows optimization to a specific target set. Future clinical trials are needed to determine whether enhanced control over current distribution is achieved with these experimental montages, and the resultant seizures, improve the risk/benefit ratio of ECT.

Indexed as

Computer SimulationElectroconvulsive TherapyBrainFinite Element AnalysisHumans4 × 1-ring HD-ECTECTelectric fieldfocalitylateralized HD

Identifiers

PMID39185880
PMCPMC12892304

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.