Evidence map›Paper›PMID 36933652›Full record

ArticleBrain stimulation

Quasi-static pipeline in electroconvulsive therapy computational modeling.

Gozde Unal, Cynthia Poon, Mohamad FallahRad, Myesha Thahsin, Miklos Argyelan, Marom Bikson

Open access · goldAbstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Wearable disposable electrotherapy.Nature communications · 2025
    Article
  3. Computational Optimization of Spinal Cord Stimulation for Dorsal Horn Interneuron Polarization.Neuromodulation : journal of the International Neuromodulation Society · 2025
    Article
  4. Article
  5. Quasistatic approximation in neuromodulation.Journal of neural engineering · 2024
    Review
  6. Amplitude-determined seizure-threshold, electric field modeling, and electroconvulsive therapy antidepressant and cognitive outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  7. 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

6 authors at 2 institutions in 1 country.

Gozde UnalDepartment of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA. Electronic address: gozdeunal33@gmail.com.
Cynthia PoonDepartment of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA.
Mohamad FallahRadDepartment of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA.
Myesha ThahsinDepartment of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA.
Miklos ArgyelanCenter for Neurosciences, The Feinstein Institute for Medical Research, North Shore- Long Island Jewish Health System, Manhasset, NY, 11030, USA.
Marom BiksonDepartment of Biomedical Engineering, The City College of New York, CUNY, New York, NY, USA. Electronic address: bikson@ccny.cuny.edu.
City College of New York · USFeinstein Institute for Medical Research · US

Funding

Non-Invasive Vagal Nerve Stimulation in Patients with Opioid Use DisordersUH3DA048502 · NIDA · EMORY UNIVERSITY · PI BREMNER, JAMES DOUGLAS, INAN, OMER TOLGA · 2023 to 2025
$5.8M
G-RISE: Graduate Research Initiative for Student Advancement at The City College of New YorkT32GM136499 · NIGMS · CITY COLLEGE OF NEW YORK · PI RUTH E. STARK · 2020 to 2026
$4.9M
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
"Bridges to the Baccalaureate Research Training Program at LaGuardia Community College"T34GM137858 · NIGMS · LAGUARDIA COMMUNITY COLLEGE · PI BIKSON, MAROM, ORTIZ, BENJAMIN D., · 2020 to 2024
$1.5M
Non-Invasive Vagal Nerve Stimulation in Patients with Opioid Use Disorders UG3DA048502 · NIDA · EMORY UNIVERSITY · PI BREMNER, JAMES DOUGLAS, INAN, OMER TOLGA · 2020 to 2021
$844k
CSRD VA I01 CX002331NIDA NIH HHS UG3 DA048502NIDA NIH HHS UH3 DA048502NIGMS NIH HHS T32 GM136499NIGMS NIH HHS T34 GM137858NINDS NIH HHS R01 NS101362NINDS NIH HHS R01 NS112996
6 · The paper itself

Abstract

backgroundComputational models of current flow during Electroconvulsive Therapy (ECT) rely on the quasi-static assumption, yet tissue impedance during ECT may be frequency specific and change adaptively to local electric field intensity.

objectivesWe systematically consider the application of the quasi-static pipeline to ECT under conditions where 1) static impedance is measured before ECT and 2) during ECT when dynamic impedance is measured. We propose an update to ECT modeling accounting for frequency-dependent impedance.

methodsThe frequency content on an ECT device output is analyzed. The ECT electrode-body impedance under low-current conditions is measured with an impedance analyzer. A framework for ECT modeling under quasi-static conditions based on a single device-specific frequency (e.g., 1 kHz) is proposed.

resultsImpedance using ECT electrodes under low-current is frequency dependent and subject specific, and can be approximated at >100 Hz with a subject-specific lumped parameter circuit model but at <100 Hz increased non-linearly. The ECT device uses a 2 μA 800 Hz test signal and reports a static impedance that approximate 1 kHz impedance. Combined with prior evidence suggesting that conductivity does not vary significantly across ECT output frequencies at high-currents (800-900 mA), we update the adaptive pipeline for ECT modeling centered at 1 kHz frequency. Based on individual MRI and adaptive skin properties, models match static impedance (at 2 μA) and dynamic impedance (at 900 mA) of four ECT subjects.

conclusionsBy considering ECT modeling at a single representative frequency, ECT adaptive and non-adaptive modeling can be rationalized under a quasi-static pipeline.

Indexed as

Electroconvulsive TherapyComputer SimulationElectric ImpedanceElectrodesHumansMagnetic Resonance Imaging

Identifiers

PMID36933652
PMCPMC10988926
OpenAlexW4327560062

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.