Evidence map›Paper›PMID 29358677›Full record

ArticleScientific reports2018

Collective responses in electrical activities of neurons under field coupling.

Ying Xu, Ya Jia, Jun Ma, Tasawar Hayat, Ahmed Alsaedi

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
12.7field-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

15 citing papers in PubMed, 135 citations in OpenAlex.

  1. Consensus Formation and Change are Enhanced by Neutrality.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. A neuron model with nonlinear membranes.Cognitive neurodynamics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

5 authors at 4 institutions in 3 countries.

Ying XuInstitute of Biophysics and Department of Physics, Central China Normal University, Wuhan, 430079, China.
Ya JiaInstitute of Biophysics and Department of Physics, Central China Normal University, Wuhan, 430079, China.
Jun MaDepartment of Physics, Lanzhou University of Technology, Lanzhou, 730050, China. hyperchaos@163.com.ORCID http://orcid.org/0000-0002-6127-000X
Tasawar HayatDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Ahmed AlsaediDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Lanzhou University of Technology · CNCentral China Normal University · CNKing Abdulaziz University · SAQuaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synapse coupling can benefit signal exchange between neurons and information encoding for neurons, and the collective behaviors such as synchronization and pattern selection in neuronal network are often discussed under chemical or electric synapse coupling. Electromagnetic induction is considered at molecular level when ion currents flow across the membrane and the ion concentration is fluctuated. Magnetic flux describes the effect of time-varying electromagnetic field, and memristor bridges the membrane potential and magnetic flux according to the dimensionalization requirement. Indeed, field coupling can contribute to the signal exchange between neurons by triggering superposition of electric field when synapse coupling is not available. A chain network is designed to investigate the modulation of field coupling on the collective behaviors in neuronal network connected by electric synapse between adjacent neurons. In the chain network, the contribution of field coupling from each neuron is described by introducing appropriate weight dependent on the position distance between two neurons. Statistical factor of synchronization is calculated by changing the external stimulus and weight of field coupling. It is found that the synchronization degree is dependent on the coupling intensity and weight, the synchronization, pattern selection of network connected with gap junction can be modulated by field coupling.

Indexed as

AnimalsElectrical SynapsesElectromagnetic PhenomenaMembrane PotentialsModels, NeurologicalNeurons

Identifiers

PMID29358677
PMCPMC5778049
OpenAlexW2783128756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.