A model for analyzing evolutions of neurons by using EEG waves-Reference-Cited by-同舟云学术

A model for analyzing evolutions of neurons by using EEG waves

Published:2022 Issue:12 Volume:19 Page:12936-12949
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Fioranelli Massimo¹,Aru O. Eze²,Roccia Maria Grazia¹,Beesham Aroonkumar³⁴,Flavin Dana⁵

Affiliation:

1. Department of Human Sciences, Guglielmo Marconi University, Via Plinio 44, 00193 Rome, Italy

2. Department of Computer Engineering, College of Engineering and Engineering Technology, Michael Okpara University of Agriculture, Umudike Umuahia, Abia State, Nigeria

3. Faculty of Natural Sciences, Mangosuthu University of Technology, PO Box 12363, Jacobs 4026, South Africa

4. Department of Mathematical Sciences, University of Zululand, Private Bag X1001, Kwa-Dlangezwa 3886, South Africa

5. President, Foundation for Collaborative Medicine and Research, Greenwich CT, USA

Abstract

<abstract> <p>It is known that differences between potentials of soma, dendrites and different parts of neural structures may be the origin of electroencephalogram (EEG) waves. These potentials may be produced by some excitatory synapses and currents of charges between neurons and then thereafter may themselves cause the emergence of new synapses and electrical currents. These currents within and between neurons emit some electromagnetic waves which could be absorbed by electrodes on the scalp, and form topographic images. In this research, a model is proposed which formulates EEG topographic parameters in terms of the charge and mass of exchanged particles within neurons, those which move between neurons, the number of neurons and the length of neurons and synapses. In this model, by knowing the densities of the frequencies in different regions of the brain, one can predict the type, charge and velocity of particles which are moving along neurons or are exchanged between neurons.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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