Evidence map›Paper›PMID 25055384›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2015

Effect of anatomical variability on electric field characteristics of electroconvulsive therapy and magnetic seizure therapy: a parametric modeling study.

Zhi-De Deng, Sarah H Lisanby, Angel V Peterchev

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Neurocognitive Effects of Combined Electroconvulsive Therapy (ECT) and Venlafaxine in Geriatric Depression: Phase 1 of the PRIDE Study.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2020
    Trial
  5. Review
  6. The relationship between electric field strength induced by electroconvulsive therapy and cognitive and antidepressant outcomes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  7. 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
  8. Article
  9. How electroconvulsive therapy works in the treatment of depression: is it the seizure, the electricity, or both?Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Noninvasive neuromodulation of the prefrontal cortex in mental health disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Zhi-De Deng
Sarah H Lisanby
Angel V Peterchev
Duke University · US

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
MAGNETIC STIMULATION THERAPY: A NEW CONVULSIVE TREATMENTR01MH060884 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LISANBY, SARAH H · 2000 to 2008
$3.5M
2/8-Prolonging Remission in Depressed Elderly (PRIDE)U01MH084241 · NIMH · DUKE UNIVERSITY · PI WEINER, RICHARD D. · 2009 to 2013
$2.1M
Rational Dosing for Electric and Magnetic Seizure TherapyR01MH091083 · NIMH · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V · 2010 to 2015
$1.9M
CLINICAL AND TRANSLATIONAL SCIENCE AWARDTL1RR024158 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$1.6M
NCRR NIH HHS 5TL1RR024158-03NCRR NIH HHS TL1 RR024158NIMH NIH HHS 5U01MH084241-02NIMH NIH HHS R01 MH060884NIMH NIH HHS R01 MH091083NIMH NIH HHS R01MH091083-01NIMH NIH HHS R01MH60884-09NIMH NIH HHS U01 MH084241
6 · The paper itself

Abstract

Electroconvulsive therapy (ECT) and magnetic seizure therapy (MST) are conventionally applied with a fixed stimulus current amplitude, which may result in differences in the neural stimulation strength and focality across patients due to interindividual anatomical variability. The objective of this study is to quantify the effect of head anatomical variability associated with age, sex, and individual differences on the induced electric field characteristics in ECT and MST. Six stimulation modalities were modeled including bilateral and right unilateral ECT, focal electrically administered seizure therapy (FEAST), and MST with circular, cap, and double-cone coils. The electric field was computed using the finite element method in a parameterized spherical head model representing the variability in the general population. Head tissue layer thicknesses and conductivities were varied to examine the impact of interindividual anatomical differences on the stimulation strength, depth, and focality. Skull conductivity most strongly affects the ECT electric field, whereas the MST electric field is independent of tissue conductivity variation in this model but is markedly affected by differences in head diameter. Focal ECT electrode configurations such as FEAST is more sensitive to anatomical variability than that of less focal paradigms such as BL ECT. In MST, anatomical variability has stronger influence on the electric field of the cap and circular coils compared to the double-cone coil, possibly due to the more superficial field of the former. The variability of the ECT and MST electric fields due to anatomical differences should be considered in the interpretation of existing studies and in efforts to improve dosing approaches for better control of stimulation strength and focality across patients, such as individualization of the current amplitude. The conventional approach to individualizing dosage by titrating the number of pulses cannot compensate for differences in the spatial extent of stimulation that result from anatomical variability.

Indexed as

Electromagnetic FieldsSeizuresAdultAlgorithmsBrainComputer SimulationElectroconvulsive TherapyElectrodesFemaleHumansMaleModels, AnatomicScalpSex CharacteristicsSkull

Identifiers

PMID25055384
PMCPMC4289667
OpenAlexW2072898464

What OpenQuestion 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 OpenQuestion graph.