Evidence map›Paper›PMID 37907689›Full record

ArticleScientific reports2023

A fast direct solver for surface-based whole-head modeling of transcranial magnetic stimulation.

S N Makaroff, Z Qi, M Rachh, W A Wartman, K Weise, G M Noetscher, M Daneshzand, Zhi-De Deng, L Greengard, A R Nummenmaa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. A survey on integral equations for bioelectric modeling.Physics in medicine and biology · 2024
    Review
  7. Article
  8. Quasistatic approximation in neuromodulation.Journal of neural engineering · 2024
    Review
  9. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

S N MakaroffElectrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
Z QiElectrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA. zqi@wpi.edu.
M RachhCenter for Computational Mathematics, Flatiron Institute, New York, NY, 10010, USA.
W A WartmanElectrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
K WeiseMax Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103, Leipzig, Germany.
G M NoetscherElectrical and Computer Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
M DaneshzandAthinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Zhi-De DengComputational Neurostimulation Research Program, Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, NIH 10 Center Drive, Bethesda, MD, 20892, USA.
L GreengardCenter for Computational Mathematics, Flatiron Institute, New York, NY, 10010, USA.
A R NummenmaaAthinoula A. Martinos Ctr. for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
Worcester Polytechnic Institute · USFlatiron Health (United States) · USHarvard University · USMassachusetts General Hospital · USMax Planck Institute for Human Cognitive and Brain Sciences · DENational Institute of Mental Health · US

Funding

Non-invasive Neuromodulation Unit (NNU)ZIAMH002955 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI ZARATE, CARLOS · 2016 to 2025
$40.3M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Near real-time system for high-resolution computationalTMS navigationR01MH128421 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI Aapo Nummenmaa · 2022 to 2026
$3.8M
Charge-Based Brain Modeling Engine with Boundary Element Fast Multipole MethodR01MH130490 · NIMH · WORCESTER POLYTECHNIC INSTITUTE · PI Sergey N Makaroff · 2023 to 2026
$3.3M
CRCNS: Multifocal causal mapping of brain networks supporting human cognitionR01DC020891 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI NUMMENMAA, AAPO · 2022 to 2024
$756k
Intramural NIH HHS ZIA MH002955NIBIB NIH HHS P41 EB030006NIDCD NIH HHS R01 DC020891NIMH NIH HHS R01 MH128421NIMH NIH HHS R01 MH130490
6 · The paper itself

Abstract

When modeling transcranial magnetic stimulation (TMS) in the brain, a fast and accurate electric field solver can support interactive neuronavigation tasks as well as comprehensive biophysical modeling. We formulate, test, and disseminate a direct (i.e., non-iterative) TMS solver that can accurately determine global TMS fields for any coil type everywhere in a high-resolution MRI-based surface model with ~ 200,000 or more arbitrarily selected observation points within approximately 5 s, with the solution time itself of 3 s. The solver is based on the boundary element fast multipole method (BEM-FMM), which incorporates the latest mathematical advancement in the theory of fast multipole methods-an FMM-based LU decomposition. This decomposition is specific to the head model and needs to be computed only once per subject. Moreover, the solver offers unlimited spatial numerical resolution. Despite the fast execution times, the present direct solution is numerically accurate for the default model resolution. In contrast, the widely used brain modeling software SimNIBS employs a first-order finite element method that necessitates additional mesh refinement, resulting in increased computational cost. However, excellent agreement between the two methods is observed for various practical test cases following mesh refinement, including a biophysical modeling task. The method can be readily applied to a wide range of TMS analyses involving multiple coil positions and orientations, including image-guided neuronavigation. It can even accommodate continuous variations in coil geometry, such as flexible H-type TMS coils. The FMM-LU direct solver is freely available to academic users.

Indexed as

BrainTranscranial Magnetic StimulationHeadMagnetic Resonance ImagingSoftware

Identifiers

PMID37907689
PMCPMC10618282
OpenAlexW4388043284

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.