Evidence map›Paper›PMID 36910030›Full record

ArticleIEEE journal of electromagnetics, RF and microwaves in medicine and biology2022

The Influence of Electrode Properties on Induced Voltage Gradient Along the Rat Optic Nerve.

Javad Paknahad, Manjunath Machnoor, Gianluca Lazzi, Kimberly K Gokoffski

Abstract read
In one paragraph

Article in IEEE journal of electromagnetics, RF and microwaves in medicine and biology, 2022. 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. Article
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

4 authors.

Javad PaknahadDepartment of Electrical and Computer Engineering at the University of Southern California Los Angeles, CA 90033 USA.
Manjunath MachnoorDepartment of Electrical and Computer Engineering at the University of Southern California Los Angeles, CA 90033 USA. He is now with Skyworks Solutions Inc., 1845 Ellis Blvd NW, Cedar Rapids, IA 52405 USA.
Gianluca LazziDepartments of Electrical and Computer Engineering, Biomedical Engineering, and Ophthalmology at the University of Southern California Los Angeles, CA 90033 USA.
Kimberly K GokoffskiDepartment of Ophthalmology at the University of Southern California Los Angeles, CA 90033 USA.

Funding

Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
In vivo Application of Electrical Fields Directs Retinal Ganglion Cell Axon RegenerationK08EY031797 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOKOFFSKI, KIMBERLY K · 2020 to 2023
$862k
NEI NIH HHS K08 EY031797NEI NIH HHS P30 EY029220
6 · The paper itself

Abstract

Significant interest exists in the potential of electric field (EF) application to be developed into a technology to direct neuronal regeneration. In vitro, EFs were shown to direct the growth of retinal ganglion cell (RGC) axons, the neurons that make up the optic nerve. As larger EF gradients were shown to direct more efficient growth, investigations into the most effective stimulation strategies that can generate the greatest voltage gradient are needed before EF application can be developed into a technology to direct optic nerve regeneration in vivo. We performed ex-vivo experiments to compare the ability of different electrode materials, platinum vs. tungsten, to generate an EF gradient along the rat optic nerve. Platinum electrodes at both source and ground positions were found to generate the greatest voltage gradient along the optic nerve. Experimental results were used to inform an equivalent computational model of the optic nerve, which was subsequently employed to predict more effective electrode pair combinations. Our results confirmed that the platinum-platinum electrode pair generates the maximum voltage gradient which are highly dependent on electrode size and electrode-electrolyte interfaces. This computational platform can serve as a foundation for the development of electrical stimulation therapies for nerve regeneration.

Indexed as

axonal regenerationelectric fieldElectrodeneural stimulationoptic nervevoltage gradient

Identifiers

PMID36910030
PMCPMC10004096

What OpenQuestion holds

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Registered trials

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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.