Evidence map›Paper›PMID 31611014›Full record

ArticleBrain stimulation

Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons.

Aman S Aberra, Boshuo Wang, Warren M Grill, Angel V Peterchev

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 152 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 2 pooled it
15.3field-weighted citation impact, top 1% 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

152 citing papers in PubMed, 2 syntheses or guidelines pooled it, 340 citations in OpenAlex.

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92 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Aman S AberraDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA. Electronic address: aman.aberra@duke.edu.
Boshuo WangDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USA. Electronic address: boshuo.wang@duke.edu.
Warren M GrillDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA; Department of Neurobiology, School of Medicine, Duke University, Durham, NC, 27710, USA; Department of Neurosurgery, School of Medicine, Duke University, Durham, NC, 27710, USA. Electronic address: warren.grill@duke.edu.
Angel V PeterchevDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, 27710, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA; Department of Neurosurgery, School of Medicine, Duke University, Durham, NC, 27710, USA. Electronic address: angel.peterchev@duke.edu.
Duke University · US

Funding

Rational Design of TMS for NeuromodulationR01NS088674 · NINDS · DUKE UNIVERSITY · PI PETERCHEV, ANGEL V, SOMMER, MARC A · 2014 to 2018
$3.1M
Using fMRI-guided TMS to increase central executive function in older adults - Administrative SupplementU01AG050618 · NIA · DUKE UNIVERSITY · PI APPELBAUM, LAWRENCE G., CABEZA, ROBERTO · 2016 to 2019
$2.3M
Program to Support Student Development and Diversity in Duke BiosciencesR25GM103765 · NIGMS · DUKE UNIVERSITY · PI BLACK, SHERILYNN J., CANELAS, DORIAN · 2013 to 2017
$1.8M
NIA NIH HHS U01 AG050618NIGMS NIH HHS R25 GM103765NINDS NIH HHS R01 NS088674
6 · The paper itself

Abstract

backgroundTranscranial magnetic stimulation (TMS) enables non-invasive modulation of brain activity with both clinical and research applications, but fundamental questions remain about the neural types and elements TMS activates and how stimulation parameters affect the neural response.

objectiveTo develop a multi-scale computational model to quantify the effect of TMS parameters on the direct response of individual neurons.

methodsWe integrated morphologically-realistic neuronal models with TMS-induced electric fields computed in a finite element model of a human head to quantify the cortical response to TMS with several combinations of pulse waveforms and current directions.

resultsTMS activated with lowest intensity intracortical axonal terminations in the superficial gyral crown and lip regions. Layer 5 pyramidal cells had the lowest thresholds, but layer 2/3 pyramidal cells and inhibitory basket cells were also activated at most intensities. Direct activation of layers 1 and 6 was unlikely. Neural activation was largely driven by the field magnitude, rather than the field component normal to the cortical surface. Varying the induced current direction caused a waveform-dependent shift in the activation site and provided a potential mechanism for experimentally observed differences in thresholds and latencies of muscle responses.

conclusionsThis biophysically-based simulation provides a novel method to elucidate mechanisms and inform parameter selection of TMS and other cortical stimulation modalities. It also serves as a foundation for more detailed network models of the response to TMS, which may include endogenous activity, synaptic connectivity, inputs from intrinsic and extrinsic axonal projections, and corticofugal axons in white matter.

Indexed as

Models, NeurologicalTranscranial Magnetic StimulationComputer SimulationHumansMotor CortexPyramidal CellsFinite element methodMotor cortexNeuron modelsSimulationTranscranial magnetic stimulation

Identifiers

PMID31611014
PMCPMC6889021
OpenAlexW2979739826

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.