Evidence map›Paper›PMID 38795980›Full record

ArticleJournal of neuroscience methods2024

A semi-automated pipeline for finite element modeling of electric field induced in nonhuman primates by transcranial magnetic stimulation.

Neerav Goswami, Michael Shen, Luis J Gomez, Moritz Dannhauer, Marc A Sommer, Angel V Peterchev

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroscience methods, 2024. 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. Review
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.

Neerav GoswamiDepartment of Biomedical Engineering, Duke University, Durham, NC, USA. Electronic address: neerav.goswami@duke.edu.
Michael ShenDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Luis J GomezDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Moritz DannhauerDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
Marc A SommerDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; Duke Institute for Brain Sciences, Duke University, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA; Department of Neurobiology, Duke University, Durham, NC, USA.
Angel V PeterchevDepartment of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA; Department of Neurosurgery, Duke University, Durham, NC, USA.

Funding

Biology and Biophysics of the Cortical Response to Transcranial Magnetic StimulationR01NS117405 · NINDS · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V, SOMMER, MARC A · 2020 to 2024
$3.3M
Rational Design of TMS for NeuromodulationR01NS088674 · NINDS · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V, SOMMER, MARC A · 2014 to 2018
$3.1M
NINDS NIH HHS R01 NS088674NINDS NIH HHS R01 NS117405
6 · The paper itself

Abstract

backgroundTranscranial magnetic stimulation (TMS) is used to treat a range of brain disorders by inducing an electric field (E-field) in the brain. However, the precise neural effects of TMS are not well understood. Nonhuman primates (NHPs) are used to model the impact of TMS on neural activity, but a systematic method of quantifying the induced E-field in the cortex of NHPs has not been developed. NEW

methodThe pipeline uses statistical parametric mapping (SPM) to automatically segment a structural MRI image of a rhesus macaque into five tissue compartments. Manual corrections are necessary around implants. The segmented tissues are tessellated into 3D meshes used in finite element method (FEM) software to compute the TMS induced E-field in the brain. The gray matter can be further segmented into cortical laminae using a volume preserving method for defining layers.

resultsModels of three NHPs were generated with TMS coils placed over the precentral gyrus. Two coil configurations, active and sham, were simulated and compared. The results demonstrated a large difference in E-fields at the target. Additionally, the simulations were calculated using two different E-field solvers and were found to not significantly differ. COMPARISON WITH EXISTING

methodsCurrent methods segment NHP tissues manually or use automated methods for only the brain tissue. Existing methods also do not stratify the gray matter into layers.

conclusionThe pipeline calculates the induced E-field in NHP models by TMS and can be used to plan implant surgeries and determine approximate E-field values around neuron recording sites.

Indexed as

Finite Element AnalysisMacaca mulattaMagnetic Resonance ImagingTranscranial Magnetic StimulationAnimalsComputer SimulationGray MatterImage Processing, Computer-AssistedMaleModels, NeurologicalElectric fieldFinite element method (FEM)Nonhuman primate (NHP)SimulationTissue segmentationTranscranial magnetic stimulation (TMS)

Identifiers

PMID38795980
PMCPMC11227653

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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.