Evidence map›Paper›PMID 36720049›Full record

ArticleArtificial organs2023

Characterization of the electrical properties of mammalian peripheral nerve laminae.

M Ryne Horn, Christian Vetter, Rizwan Bashirullah, Mike Carr, Ken Yoshida

Open access · greenAbstract read
In one paragraph

Article in Artificial organs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  7. Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

M Ryne HornDepartment of Biomedical Engineering, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-1066-6303
Christian VetterDepartment of Biomedical Engineering, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-2621-5611
Rizwan BashirullahGalvani Bioelectronics, Collegeville, Pennsylvania, USA.
Mike CarrGalvani Bioelectronics, Collegeville, Pennsylvania, USA.
Ken YoshidaDepartment of Biomedical Engineering, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0003-4566-580X
University of Indianapolis · USBioElectronics (United States) · US

Funding

Reversible block of nerve conduction using low frequency alternating currentsR21EB028469 · NIBIB · INDIANA UNIVERSITY INDIANAPOLIS · PI YOSHIDA, KEN · 2019 to 2021
$630k
NIBIB NIH HHS R21 EB028469NIH HHS R21EB028469
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe intrinsic electrical material properties of the laminar components of the mammalian peripheral nerve bundle are important parameters necessary for the accurate simulation of the electrical interaction between nerve fibers and neural interfaces. Improvements in the accuracy of these parameters improve the realism of the simulation and enables realistic screening of novel devices used for extracellular recording and stimulation of mammalian peripheral nerves. This work aims to characterize these properties for mammalian peripheral nerves to build upon the resistive parameter set established by Weerasuriya et al. in 1984 for amphibian somatic peripheral nerves (frog sciatic nerve) that is currently used ubiquitously in the in-silico peripheral nerve modeling community.

methodsA custom designed characterization chamber was implemented and used to measure the radial and longitudinal impedance between 10 mHz and 50 kHz of freshly excised canine vagus nerves using four-point impedance spectroscopy. The impedance spectra were parametrically fitted to an equivalent circuit model to decompose and estimate the components of the various laminae. Histological sections of the electrically characterized nerves were then made to quantify the geometry and laminae thicknesses of the perineurium and epineurium. These measured values were then used to calculate the estimated intrinsic electrical properties, resistivity and permittivity, from the decomposed resistances and reactances. Finally, the estimated intrinsic electrical properties were used in a finite element method (FEM) model of the nerve characterization setup to evaluate the realism of the model.

resultsThe geometric measurements were as follows: nerve bundle (1.6 ± 0.6 mm), major nerve fascicle diameter (1.3 ± 0.23 mm), and perineurium thickness (13.8 ± 2.1 μm). The longitudinal resistivity of the endoneurium was estimated to be 0.97 ± 0.05 Ωm. The relative permittivity and resistivity of the perineurium were estimated to be 2018 ± 391 and 3.75 kΩm ± 981 Ωm, respectively. The relative permittivity and resistivity of the epineurium were found to be 9.4 × 10

conclusionAlthough the resistive values measured in the mammalian nerve are similar to those of the amphibian model, the relative permittivity of the laminae bring new information about the reactance and the corner frequency (frequency at peak reactance) of the peripheral nerve. The measured and estimated corner frequency are well within the range of most bioelectric signals, and are important to take into account when modeling the nerve and neural interfaces.

Indexed as

Peripheral NervesSciatic NerveAnimalsDogsMammalsSeizuresbioimpedanceendoneuriumnerve fascicleperineuriumperipheral nerve

Identifiers

PMID36720049
PMCPMC10426281
OpenAlexW4318754248

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.