Evidence map›Paper›PMID 28706244›Full record

ArticleScientific reports2017

Predicting Magnetostimulation Thresholds in the Peripheral Nervous System using Realistic Body Models.

Mathias Davids, Bastien Guérin, Matthias Malzacher, Lothar R Schad, Lawrence L Wald

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Group-Patch Joint Compression: Compressing Dynamic BMagnetic resonance in medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. A 31-channel integrated "AC/DC" BMagnetic resonance in medicine · 2022
    Article
  19. Article
  20. Evaluation of Peripheral Electrostimulation Thresholds in Human Model for Uniform Magnetic Field Exposure.International journal of environmental research and public health · 2021
    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.

Mathias DavidsComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany. mathias.davids@medma.uni-heidelberg.de.
Bastien GuérinMartinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, USA.
Matthias MalzacherComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-8841-9284
Lothar R SchadComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
Lawrence L WaldMartinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Charlestown, USA.

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
A magnetic particle imager (MPI) for functional brain imaging in humansU01EB025121 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2022
$6.1M
Parallel Excitation Methods for High Field MRIR01EB006847 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2007 to 2020
$5.4M
Magnetic Particle Imaging (MPI) for Functional Brain Imaging in HumansR24MH106053 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI CONOLLY, STEVEN M, GRISWOLD, MARK · 2014 to 2016
$1.5M
Neuroimaging of deep brain stimulation patients using safe MRI excitationsR00EB019482 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI GUERIN, BASTIEN · 2017 to 2019
$747k
Neuroimaging of deep brain stimulation patients using safe MRI excitationsK99EB019482 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI GUERIN, BASTIEN · 2015 to 2016
$188k
NIBIB NIH HHS K99 EB019482NIBIB NIH HHS P41 EB015896NIBIB NIH HHS R00 EB019482NIBIB NIH HHS R01 EB006847NIBIB NIH HHS R01 EB017337NIBIB NIH HHS U01 EB025121NIMH NIH HHS R24 MH106053
6 · The paper itself

Abstract

Rapid switching of applied magnetic fields in the kilohertz frequency range in the human body induces electric fields powerful enough to cause Peripheral Nerve Stimulation (PNS). PNS has become one of the main constraints on the use of high gradient fields for fast imaging with the latest MRI gradient technology. In recent MRI gradients, the applied fields are powerful enough that PNS limits their application in fast imaging sequences like echo-planar imaging. Application of Magnetic Particle Imaging (MPI) to humans is similarly PNS constrained. Despite its role as a major constraint, PNS considerations are only indirectly incorporated in the coil design process, mainly through using the size of the linear region as a proxy for PNS thresholds or by conducting human experiments after constructing coil prototypes. We present for the first time, a framework to simulate PNS thresholds for realistic coil geometries to directly address PNS in the design process. Our PNS model consists of an accurate body model for electromagnetic field simulations, an atlas of peripheral nerves, and a neurodynamic model to predict the nerve responses to imposed electric fields. With this model, we were able to reproduce measured PNS thresholds of two leg/arm solenoid coils with good agreement.

Indexed as

Electric StimulationElectromagnetic FieldsComputer SimulationExtremitiesHumansPeripheral Nervous System

Identifiers

PMID28706244
PMCPMC5509681

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.