Evidence map›Paper›PMID 35064447›Full record

ArticleJournal of biological physics2022

The effects of temperature on the dynamics of the biological neural network.

Mohammad B Jabbari, Mahdi Rezaei Karamati

Open access · greenAbstract read
In one paragraph

Article in Journal of biological physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Mohammad B JabbariThe Department of Theoretical Physics, Faculty of Physics, University of Tabriz, Tabriz, Iran.
Mahdi Rezaei KaramatiThe Department of Theoretical Physics, Faculty of Physics, University of Tabriz, Tabriz, Iran. karamaty@tabrizu.ac.ir.ORCID 0000-0002-6052-9753
University of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nerve cells are responsible for transmitting messages through the action potential, which generates electrical stimulation. One of the methods and tools of electrical stimulation is infrared neural stimulation (INS). Since the mechanism of INS is based on electromagnetic radiation, it explains how a neuron is stimulated by the heat distribution which is generated by the laser. The present study is focused on modeling and simulating the conditions in which deformed temperature related to the Hodgkin and Huxley model can be effectively and safely used to activate the neurons, the fires of which depend on temperature. The results explain ionic channels in the single and network neurons, which behave differently when thermal stimulation is applied to the cell. It causes the variation of the pattern of the action potential in the Hodgkin-Huxley (HH) model. The stability of the phase-plane at high temperatures has lower fluctuations than at low temperatures, so the channel gates open and close faster. The behavior of these channels under various membrane temperatures shows that the firing rate increases with temperature. Also, the domain of the spikes reduces and the spikes occur faster with increasing temperature.

Indexed as

Models, NeurologicalNeural Networks, ComputerAction PotentialsNeuronsTemperatureAction potentialHodgkin and HuxleyNeural networkNeuronal spikingTemperature effect

Identifiers

PMID35064447
PMCPMC8866622
OpenAlexW4206901949

What OpenQuestion holds

Textmetadata
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.