DocumentCode :
1396466
Title :
Biological cells with gap junctions in low-frequency electric fields
Author :
Fear, Elise C. ; Stuchly, Maria A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Volume :
45
Issue :
7
fYear :
1998
fDate :
7/1/1998 12:00:00 AM
Firstpage :
856
Lastpage :
866
Abstract :
Biological effects have been observed from weak, low-frequency magnetic fields. It has been suggested that the observed effects are due to the induced currents and electric fields. The behavior of cells exposed to an electric field is investigated in this paper. The induced transmembrane potential (TMP) is examined in geometrically complex models of various cell configurations. The TMP is evaluated using the finite element method (FEM), a numerical technique that is well suited to complicated geometries. Because displacement currents can be neglected at very low frequencies, a FEM solver that considers only material conductivity is used. Therefore, our results apply only well below the relaxation frequency. Chains and clusters of gap-connected cells of various sizes are modeled. The conductivity and size of the gap junctions in the cell configurations are also varied. The results for small configurations are compared to models of ellipsoidal cells with shapes similar to those of the configurations. FEM estimates of TMPs in long, cylindrical cell chains are compared to the predictions of the leaky cable model. The FEM approach confirms that gap-junction-connected cells can be treated as a single similarly shaped cell. Gaps influence the potential in the interior of cell configurations, and these effects increase with gap size and conductivity. For configurations to which approximations such as the leaky cable model do not apply, the FEM approach can be used to estimate the TMP, if the model is adapted to fit within computational memory limits.
Keywords :
bioelectric potentials; biological effects of fields; biomembranes; cellular effects of radiation; finite element analysis; physiological models; biological cells; cell configurations; clusters; displacement currents; ellipsoidal cells; finite element method solver; gap-connected cells; gap-junction-connected cells; geometrically complex models; induced currents; induced transmembrane potential; leaky cable model; long cylindrical cell chains; relaxation frequency; shapes; single similarly shaped cell; Biological cells; Biological system modeling; Biomembranes; Cells (biology); Conductivity; Finite element methods; Frequency; Geometry; Shape; Solid modeling; Animals; Cells, Cultured; Computer Simulation; Electric Conductivity; Electromagnetic Fields; Gap Junctions; Membrane Potentials; Models, Biological;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.686793
Filename :
686793
Link To Document :
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