Evidence map›Paper›PMID 29915373›Full record

ArticleScientific reports2018

Extremely High Frequency Electromagnetic Fields Facilitate Electrical Signal Propagation by Increasing Transmembrane Potassium Efflux in an Artificial Axon Model.

Simona D'Agostino, Chiara Della Monica, Eleonora Palizzi, Fabio Di Pietrantonio, Massimiliano Benetti, Domenico Cannatà, Marta Cavagnaro, Dariush Sardari, Pasquale Stano, Alfonsina Ramundo-Orlando

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Simona D'AgostinoInstitute of Translational Pharmacology-CNR, Rome, Italy.
Chiara Della MonicaInstitute of Translational Pharmacology-CNR, Rome, Italy.
Eleonora PalizziInstitute of Translational Pharmacology-CNR, Rome, Italy.
Fabio Di PietrantonioInstitute of Microelectronics and Microsystems-CNR, Rome, Italy.ORCID 0000-0002-6629-6401
Massimiliano BenettiInstitute of Microelectronics and Microsystems-CNR, Rome, Italy.
Domenico CannatàInstitute of Microelectronics and Microsystems-CNR, Rome, Italy.ORCID 0000-0003-4072-0099
Marta CavagnaroDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy.ORCID 0000-0002-7624-1113
Dariush SardariDepartment of Med. Radiation Eng. Science and Research Branch, Islamic Azad University, Tehran, Iran.
Pasquale StanoDepartment of Biology and Environmental Science and Technology (DiSTeBA), University of Salento, Lecce, Italy.ORCID 0000-0002-2228-2825
Alfonsina Ramundo-OrlandoInstitute of Translational Pharmacology-CNR, Rome, Italy. alfonsina.ramundoorlando@ift.cnr.it.
Istituto di Farmacologia Traslazionale · ITInstitute for Microelectronics and Microsystems · ITIslamic Azad University, Science and Research Branch · IRSapienza University of Rome · ITUniversity of Salento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the many biological effects caused by low intensity extremely high frequency electromagnetic fields (EHF-EMF) reported in the literature, those on the nervous system are a promising area for further research. The mechanisms by which these fields alter neural activity are still unclear and thus far there appears to be no frequency dependence regarding neuronal responses. Therefore, proper in vitro models for preliminary screening studies of the interaction between neural cells with EMF are needed. We designed an artificial axon model consisting of a series of parallel RC networks. Each RC network contained an aqueous solution of lipid vesicles with a gradient of potassium (K

Indexed as

ElectricityElectromagnetic FieldsModels, NeurologicalSignal Processing, Computer-AssistedAxonsCell MembraneComputer SimulationLipidsPotassiumTemperatureValinomycinLipidsPotassiumValinomycin

Identifiers

PMID29915373
PMCPMC6006430
OpenAlexW2807714850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.