• 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