DocumentCode
3007851
Title
Effect of geometry on propagation of action potentials in neurons; an in silico analysis
Author
Mohagheghian, Fahimeh ; Sasanpour, Pezhman ; Rafii-Tabar, Hashem
Author_Institution
Dept. of Med. Phys. & Biomed. Eng., Shahid Beheshti Univ. of Med. Sci., Tehran, Iran
fYear
2015
fDate
21-24 April 2015
Firstpage
478
Lastpage
480
Abstract
Deformation of neuron structure can induce abnormalities in action potential propagation in nervous system, which is a potential threat from viewpoint of medical science. The effect of geometrical changes and deformation of neuron structure on the propagation of action potential has been studied theoretically. The theoretical model is based on modified cable equation considering spatial changes of the neuron structure, incorporating the different ionic currents´ components. The results of our analysis reveal that the morphology of the neuron has a significant effect on properties of action potential propagation in the neuron. We have shown that alteration of the velocity of propagation, and the broadening of action potential pulses directly correspond to the changes in the morphology of neuron fiber. The rates of changes in the above mentioned electrophysiological parameters accord with the rate and type of shape deformation.
Keywords
bioelectric potentials; biomechanics; cellular biophysics; deformation; neurophysiology; abnormalities; action potential propagation; action potential pulse broadening; electrophysiological parameters; geometry effect; in silico analysis; ionic currents; modified cable equation; nervous system; neuron fiber morphology; neuron structure deformation; neurons; propagation velocity; shape deformation rate; shape deformation type; Electric potential; Geometry; Integrated circuit modeling; Mathematical model; Neurons; Optical fiber cables; Shape; Action Potential; Finite Difference; Hodgkin-Huxley model; Modified Cable Equation; Neuron Deformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Nanotechnology (ELNANO), 2015 IEEE 35th International Conference on
Conference_Location
Kiev
Type
conf
DOI
10.1109/ELNANO.2015.7146924
Filename
7146924
Link To Document