AI Article Synopsis
- The paper aims to create a detailed model for understanding the fields and currents induced by transcranial magnetic stimulation (TMS), addressing factors that are often overlooked in simpler models.
- The methodology involves using a surface integral equation (SIE) approach, developing a model of a lossy homogeneous brain, and solving the equations numerically.
- The results show a strong agreement with previous analyses, indicating that the model accurately predicts electric field and current density distributions in the brain, while suggesting future improvements for incorporating complex brain structures.
Article Abstract
Goal: The aim of this paper is to provide a rigorous model and, hence, a more accurate description of the transcranial magnetic stimulation (TMS) induced fields and currents, respectively, by taking into account the inductive and capacitive effects, as well as the propagation effects, often being neglected when using quasi-static approximation.
Methods: The formulation is based on the surface integral equation (SIE) approach. The model of a lossy homogeneous brain has been derived from the equivalence theorem and using the appropriate boundary conditions for the electric field. The numerical solution of the SIE has been carried out using the method of moments.
Results: Numerical results for the induced electric field, electric current density, and the magnetic flux density distribution inside the human brain, presented for three typical TMS coils, are in a good agreement with some previous analysis as well as to the results obtained by analytical approach.
Conclusion: The future work should be related to the development of a more detailed geometrical model of the human brain that will take into account complex cortical columnar structures, as well as some additional brain tissues.
Significance: To the best of authors knowledge, similar approach in modeling TMS has not been previously reported, albeit integral equation methods are seeing a revival in computational electromagnetics community.
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| http://dx.doi.org/10.1109/TBME.2015.2393557 | DOI Listing |
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