Literature DB >> 33574428

Mechanism behind the neuronal ephaptic coupling during synchronizing by specific brain-triggered wave as neuronal motor toolkit.

Sajedeh Karami1, Mohammad Mahdi Doroodmand2, Mahnaz Taherianfar3, Amir Mutabi-Alavi4, Nahid Nagshgar4.   

Abstract

Probable mechanism behind the neuronal ephaptic coupling is investigated based on the introduction of "Brain"-triggered potential excitation signal smartly with a specific very low frequency (VLF) waves as a neuronal motor toolkit. Detection of this electric motor toolkit is attributed to in-vitro precise analyses of a neural network of snail, along to the disconnected snail's neuronal network as a control. This is achieved via rapid (real-time) electrical signals acquisition by blind patch-clamp method during micro-electrode implanting in the neurons at the gigaseal conditions by the surgery operations. This process is based on its waveform (potential excitation signal) detection by mathematical curve fitting process. The characterized waveform of this electrical signal is "Saw Tooth" that is smartly stimulated, alternatively, by the brain during triggering the action potential's (AP's) hyperpolarization zone at a certain time interval at the several µs levels. Triggering the neuron cells results in (1) observing a positive shift (10.0%, depending on the intensity of the triggering wave), and (2) major promotion in the electrical current from sub nano (n) to micro (µ) amper (nA, µA) levels. Direct tracing the time domain (i.e., electrical signal vs. time) and estimation of the frequency domain (diagram of electrical response vs. the applied electrical frequencies) by the "Discrete Fast Fourier Transform" algorithm approve the presence of bilateral and reversible electrical currents between axon and dendrite. This mechanism therefore opens a novel view about the neuronal motor toolkit mechanism, versus the general knowledge about the unilateral electrical current flow from axon to dendrite operations in as neural network. The reliability of this mechanism is evaluated via (1) sequential modulation and demodulation of the snail's neuron network by a simulation electrical functions and sequentially evaluation of the neuronal current sensitivity between pA and nA (during the promotion of the signal-to-noise ratio, via averaging of 30 ± 1 (n = 15) and recycling the electrical cycles before any neuronal response); and (2) operation of the process on the differentiated stem cells. The interstice behavior is attributed to the effective role of Ca2+ channels (besides Na+ and K+ ionic pumping), during hyper/hypo calcium processes, evidenced by inductively coupled plasma as the selected analytical method. This phenomenon is also modeled during proposing quadrupole well potential levels in the neuron systems. This mechanism therefore points to the microprocessor behavior of neuron networks. Stimulation of the neuronal system based on this mechanism, not only controls the sensitivity of neuron electrical stimulation, but also would open a light window for more efficient operating the neuronal connectivity during providing interruptions by phenomena such as neurolysis as well as an efficient treatment of neuron-based disorders.

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Year:  2021        PMID: 33574428      PMCID: PMC7878924          DOI: 10.1038/s41598-021-82118-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  24 in total

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Authors:  J G BLACKMAN; B L GINSBORG; C RAY
Journal:  J Physiol       Date:  1963-07       Impact factor: 5.182

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Authors:  K Jurkat-Rott; F Lehmann-Horn
Journal:  Curr Pharm Biotechnol       Date:  2004-08       Impact factor: 2.837

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Authors:  Maarten H P Kole; Stefan Hallermann; Greg J Stuart
Journal:  J Neurosci       Date:  2006-02-08       Impact factor: 6.167

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Authors:  Y Chen; X D Sun; S Herness
Journal:  J Neurophysiol       Date:  1996-02       Impact factor: 2.714

5.  Discrete Fourier Transform as applicable technique in electrochemical detection of hydrazine using multi-walled carbon nanotube/polyacrylonitrile ceramic fiber as working electrode.

Authors:  Mohammad Mahdi Doroodmand
Journal:  Mater Sci Eng C Mater Biol Appl       Date:  2013-01-16       Impact factor: 7.328

Review 6.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

7.  Electrical stimulation enhances neuronal cell activity mediated by Schwann cell derived exosomes.

Authors:  Ming Hu; Li Hong; Cheng Liu; Shasha Hong; Songming He; Min Zhou; Guotao Huang; Qian Chen
Journal:  Sci Rep       Date:  2019-03-12       Impact factor: 4.379

8.  A multiple modulation synthesis method with high spatial resolution for noninvasive neurostimulation.

Authors:  Qiaoqin Xiao; Zhenyu Zhong; Xiaozheng Lai; Huabiao Qin
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

Review 9.  Silencing Neurons: Tools, Applications, and Experimental Constraints.

Authors:  J Simon Wiegert; Mathias Mahn; Matthias Prigge; Yoav Printz; Ofer Yizhar
Journal:  Neuron       Date:  2017-08-02       Impact factor: 17.173

10.  Expression of neural markers by undifferentiated mesenchymal-like stem cells from different sources.

Authors:  Dana Foudah; Marianna Monfrini; Elisabetta Donzelli; Stefania Niada; Anna T Brini; Monia Orciani; Giovanni Tredici; Mariarosaria Miloso
Journal:  J Immunol Res       Date:  2014-03-05       Impact factor: 4.818

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