• DocumentCode
    45038
  • Title

    The Effect of Coil Modeling on the Predicted Induced Electric Field Distribution During TMS

  • Author

    Tachas, N.J. ; Efthimiadis, K.G. ; Samaras, Theodoros

  • Author_Institution
    Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • Volume
    49
  • Issue
    3
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    1096
  • Lastpage
    1100
  • Abstract
    We investigated the effect on the predicted induced field inside the head tissues of the numerical model adopted for simulating the excitation coil during transcranial magnetic stimulation (TMS). A commercially available eight-shaped coil was modeled in four different ways. The electric field inside a detailed (2 mm resolution) and anatomically realistic numerical phantom of the human head was calculated with the impedance method. The results revealed differences of more than 170% in the maximum local value of electric field, depending on the coil model. It was shown that the predicted amount of involved tissue in the brain varied as well, pointing to the importance of correct source modeling before individualized patient treatment planning can be introduced. The calculations showed clearly that an eight-shaped TMS coil should not be modeled as two single thin-wire loops, since this approach may yield inaccurate induced field distributions.
  • Keywords
    numerical analysis; patient treatment; phantoms; transcranial magnetic stimulation; coil modeling; eight-shaped coil; excitation coil; head tissues; human head; impedance method; induced electric field distribution; numerical model; numerical phantom; patient treatment planning; thin-wire loops; transcranial magnetic stimulation; Brain modeling; Coils; Electric fields; Finite element methods; Magnetic heads; Magnetic stimulation; Numerical models; Human head; impedance method (IM); induced electric field; transcranial magnetic stimulation (TMS);
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2219878
  • Filename
    6307873