Evidence map›Paper›PMID 34517143›Full record

ArticleBrain stimulation

High-resolution computational modeling of the current flow in the outer ear during transcutaneous auricular Vagus Nerve Stimulation (taVNS).

Erica Kreisberg, Zeinab Esmaeilpour, Devin Adair, Niranjan Khadka, Abhishek Datta, Bashar W Badran, J Douglas Bremner, Marom Bikson

Abstract read
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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  14. Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024
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  16. Review
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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

8 authors.

Erica KreisbergDepartment of Biomedical Engineering, The City College of New York, New York, NY, USA.
Zeinab EsmaeilpourDepartment of Biomedical Engineering, The City College of New York, New York, NY, USA.
Devin AdairDepartment of Biomedical Engineering, The City College of New York, New York, NY, USA.
Niranjan KhadkaDepartment of Psychiatry, Division of Neuropsychiatry and Neuromodulation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Abhishek DattaResearch and Development, Soterix Medical, New York, USA, The City College of the City University of New York, New York, USA.
Bashar W BadranDepartment of Psychiatry, Medical University of South Carolina, Charleston, SC, USA.
J Douglas BremnerDepartments of Psychiatry & Behavioral Sciences and Radiology, Emory University School of Medicine, And the Atlanta VA Medical Center, Decatur, Atlanta, GA, USA.
Marom BiksonDepartment of Biomedical Engineering, The City College of New York, New York, NY, USA. Electronic address: bikson@ccny.cuny.edu.

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GEORGE, MARK S · 2015 to 2024
$12.7M
COCA: Project 4. Neurocircuit Strategy to Decrease Cocaine Cue ReactivityP50DA046373 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI REICHEL, CARMELA M · 2019 to 2023
$9.9M
Mental Stress and Myocardial Ischemia after MI: Sex Differences, Mechanisms and PrognosisR01HL109413 · NHLBI · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 2012 to 2023
$6.9M
Neural Circuits in Women with Abuse and PTSDR01MH056120 · NIMH · YALE UNIVERSITY · PI BREMNER, JAMES DOUGLAS · 1999 to 2011
$5.0M
Dopamine function, inflammation and connectivity in PTSDR01MH120262 · NIMH · EMORY UNIVERSITY · PI BREMNER, JAMES DOUGLAS · 2020 to 2023
$2.9M
Mechanisms of Depression in CVDR01HL088726 · NHLBI · EMORY UNIVERSITY · PI BREMNER, JAMES DOUGLAS · 2008 to 2012
$2.6M
A tool-box to control and enhance tDCS spatial precisionR01MH111896 · NIMH · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2016 to 2019
$2.2M
Open-source computational modeling of Spinal Cord Stimulation (SCS) to enhance dissemination of 1R01NS112996R01NS112996 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2020 to 2024
$2.0M
The coupled vascular hypothesis for transcranial direct current stimulation (tDCS)R01NS101362 · NINDS · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2017 to 2021
$1.7M
Effects of direct-current stimulation on synaptic plasticityR01NS095123 · NINDS · CITY COLLEGE OF NEW YORK · PI PARRA, LUCAS C · 2016 to 2020
$1.7M
"Bridges to the Baccalaureate Research Training Program at LaGuardia Community College"T34GM137858 · NIGMS · LAGUARDIA COMMUNITY COLLEGE · PI BIKSON, MAROM, ORTIZ, BENJAMIN D., · 2020 to 2024
$1.5M
NCRR NIH HHS S10 RR016917NHLBI NIH HHS R01 HL088726NHLBI NIH HHS R01 HL109413NICHD NIH HHS P2C HD086844NIDA NIH HHS 75N95020C00024NIDA NIH HHS P50 DA046373NIDA NIH HHS UG3 DA048502NIGMS NIH HHS P20 GM109040NIGMS NIH HHS T34 GM137858NIMH NIH HHS K24 MH076955NIMH NIH HHS R01 MH056120NIMH NIH HHS R01 MH111896NIMH NIH HHS R01 MH120262NINDS NIH HHS R01 NS095123NINDS NIH HHS R01 NS101362NINDS NIH HHS R01 NS112996RRD VA I01 RX003418
6 · The paper itself

Abstract

backgroundTranscutaneous auricular Vagus Nerve Stimulation (taVNS) applies low-intensity electrical current to the ear with the intention of activating the auricular branch of the Vagus nerve. The sensitivity and selectivity of stimulation applied to the ear depends on current flow pattern produced by a given electrode montage (size and placement).

objectiveWe compare different electrodes designs for taVNS considering both the predicted peak electric fields (sensitivity) and their spatial distribution (selectivity).

methodsBased on optimized high-resolution (0.47 mm) T1 and T2 weighted MRI, we developed an anatomical model of the left ear and the surrounding head tissues including brain, CSF/meninges, skull, muscle, blood vessels, fat, cartilage, and skin. The ear was further segmented into 6 regions of interest (ROI) based on various nerve densities: cavum concha, cymba concha, crus of helix, tragus, antitragus, and earlobe. A range of taVNS electrode montages were reproduced spanning varied electrodes sizes and placements over the tragus, cymba concha, earlobe, cavum concha, and crus of helix. Electric field across the ear (from superficial skin to cartilage) for each montage at 1 mA or 2 mA taVNS, assuming an activation threshold of 6.15 V/m, 12.3 V/m or 24.6 V/m was predicted using a Finite element method (FEM). Finally, considering every ROI, we calculated the sensitivity and selectivity of each montage.

resultsCurrent flow patterns through the ear were highly specific to the electrode montage. Electric field was maximal at the ear regions directly under the electrodes, and for a given total current, increases with decreasing electrode size. Depending on the applied current and nerves threshold, activation may also occur in the regions between multiple anterior surface electrodes. Each considered montage was selective for one or two regions of interest. For example, electrodes across the tragus restricted significant electric field to the tragus. Stimulation across the earlobe restricted significant electric field to the earlobe and the antitragus. Because of this relative selectivity, use of control ear montages in experimental studies, support testing of targeting. Relative targeting was robust across assumptions of activation threshold and tissue properties. DISCUSSION: Computational models provide additional insight on how details in electrode shape and placement impact sensitivity (how much current is needed) and selectivity (spatial distribution), thereby supporting analysis of existing approaches and optimization of new devices. Our result suggest taVNS current patterns and relative target are robust across individuals, though (variance in) axon morphology was not represented.

Indexed as

Transcutaneous Electric Nerve StimulationVagus Nerve StimulationComputer SimulationEar, ExternalHumansVagus NerveAuricular branch of the vagus nerveComputational modellingCurrent flow modelsFinite element method modelsNon-invasive brain stimulationTranscutaneous auricular vagus nerve stimulation

Identifiers

PMID34517143
PMCPMC8608747

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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.