Page 246 - Computational Modeling in Biomedical Engineering and Medical Physics
P. 246

Magnetic stimulation and therapy  235


                   of the induced electrical field, while simplified spherically symmetrical models of the
                   head concluded the absence of this. The same observation is highlighted by
                   Nummenmaa et al. (2013), who also contributes with more information on this topic
                   by specifying that the volume conductor models (Chapter 4: Electrical Activity of The
                   Heart) influence the numerical evaluations of the electric field produced by TMS.
                   BEM is a good compromise between numerical accuracy and computational cost and
                   the anatomically accurate geometries are better for TMS navigation, especially when
                   considering prefrontal regions of interest, usually targeted in medical therapies.
                      Further on, Yang et al. (2006, 2007, 2010) and Xu et al. (2005) developed numerical
                   models for the analysis and geometrical optimization of the magnetic field source used in
                   TMS. Three different coil configurations were studied, starting from a single circular coil
                   placed above the scalp, then moving on to coil arrays based on two and seven circular coils
                   placed above the head. The best behavior was achieved with the array made of seven coils,
                   which generated the most intense stimulation currents and the lowest magnetic field attenu-
                   ationin-depthwhencomparedwith other simulated coilsetups.
                      Other studies are focused on more detailed aspects of the TMS magnetic field source.
                   For example, Chen and Mogul (2009) embeds a highly detailed 3D geometry of the brain
                   in a FEM numerical study for TMS, created using image-based segmentation and optimized
                   meshing. The level of anatomical accuracy goes deep down to the cerebral gyri and sulci all
                   reached by a skillful combination between CT and MRI image sources. Regarding the
                   TMS magnetic source field, an in-depth study of the magnetic coil numerical modeling,
                   published by Petrov et al. (2017), presents the effects of idealized coil geometries upon the
                   generated stimulating magnetic field. Thus after analyzing three coil geometries (a simple cir-
                   cular coil, a coil with in-plane spiral winding turns, and one with stacked spiral windings)
                   the FEM results showed that notable differences occurred. The numerical results were
                   empirically validated.
                      There are different TMS protocols—applicator, position, duration, etc. For instance, in
                   rTMS the applicator is positioned above the left inferior frontal region and uses frequencies
                   in the range 8 25 Hz for 10 s (Hallet, 2000).The “continuous theta-burst stimulation”
                   consists of trains of uninterrupted TBS (e.g., 20 s) with bursts of three pulses at 50 Hz,
                   repeated every 200 ms (i.e., 5 Hz), for a total number of pulses (e.g., 300 pulses; Noh et al.,
                   2015). The numerical simulation presented next is about a continuous harmonic stimulation,
                   at 10 Hz, using a planar, circular coil applicator.


                   Modeling the transcranial magnetic stimulation
                   The computational domain presented next, a numerical phantom, was created using
                   imaging-based segmentation techniques applied on a high-resolution CT dataset, Fig. 7.9,
                   the upper row (Chapter 3: Computational Domains). Three types of tissue are targeted: the
                   brain, the cranium bones, and the surrounding tissue (a homogenous muscle, fat, and skin
   241   242   243   244   245   246   247   248   249   250   251