Possible Mechanism for Effects Caused by Exposure to Extremely Low Frequency Magnetic Fields

This paper introduces a possible mechanism to explain the changes in neurons following extremely low frequency magnetic fields (ELF-MFs). The model in this paper contains two parts: the physical part and the bio-trigger part. The first part is an electric current equation, which is a generalization...

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Bibliographic Details
Published inIEEE transactions on magnetics Vol. 52; no. 12; pp. 1 - 8
Main Authors Gao, Yang, Zheng, Yu, Chen, Ruijuan, Wang, Hui-Quan, Dong, Lei, Dou, Junrong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Biological models (mathematics)
Biological system modeling
Calcium
Electric currents
Electric fields
Extremely low frequencies
Extremely low frequency magnetic fields (ELF-MFs) exposure
H–H model
ion mobility
Ionic mobility
Ions
Magnetic fields
Magnetism
Mathematical model
Neurons
phenomenological model
transition probability
two-state channel model
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Summary:This paper introduces a possible mechanism to explain the changes in neurons following extremely low frequency magnetic fields (ELF-MFs). The model in this paper contains two parts: the physical part and the bio-trigger part. The first part is an electric current equation, which is a generalization of the Nernst-Plank equation with the exposure of ELF-MF, and the second bio-part is a phenomenological model, which is a simple two-state channel with two steady state open (O) state and closed state (C). The two parts are complementary. The first part is utilized to explain changes about synaptic plasticity following ELF-MF exposure at embryonic and postnatal age. The second part is used to simulate the process of three different types of neurons reported by previous papers. According to the results, the present model is feasible for the simulation process. The concept of ion mobility or permeability is emphasized in this paper in part I, and channel state transition probabilities are paid much attention to in part II. In this paper, the ion mobility or permeability is supposed to have close relationships with ion channel transition probabilities, which connects the two parts of the model together.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2016.2594284