2016
DOI: 10.1109/tmag.2016.2519443
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Numerical Analyses of Transcranial Magnetic Stimulation Based on Individual Brain Models by Using a Scalar-Potential Finite-Difference Method

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Cited by 11 publications
(6 citation statements)
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“…Different brain tissue layers were not differentiated so that the model possessed an isotropic inner electrical conductivity of 0.33 S/m, and the cortical surface was assumed to be at a depth of 1.5 cm from the surface of the model. To calculate the electric field induced by high-frequency oscillating currents in the coils, a scalar-potential finite-difference (SPFD) tool developed by our group was employed (Yamamoto et al, 2016 ). The electric field produced inside the brain model can be acquired by solving the following equation:…”
Section: Methodsmentioning
confidence: 99%
“…Different brain tissue layers were not differentiated so that the model possessed an isotropic inner electrical conductivity of 0.33 S/m, and the cortical surface was assumed to be at a depth of 1.5 cm from the surface of the model. To calculate the electric field induced by high-frequency oscillating currents in the coils, a scalar-potential finite-difference (SPFD) tool developed by our group was employed (Yamamoto et al, 2016 ). The electric field produced inside the brain model can be acquired by solving the following equation:…”
Section: Methodsmentioning
confidence: 99%
“…To assess the extent of the brain areas stimulated under different stimulation conditions, we simulated the TMS-induced eddy current density in the brain model of the Japanese monkey by the scalar potential finite difference (SPFD) method (10,11). As shown in Fig.…”
Section: Simulation Of Tms-induced Eddy Current Density In the Monkey Brainmentioning
confidence: 99%
“…The extent of TMS-induced eddy currents in the monkey brain was assessed by the SPFD method (Fig. 1C) (10,11). We used the monkey brain model (the MRI standard brain of Japanese macaque monkey, http://brainatlas.brain.riken.jp/jm/modules/xoonips/listitem.php?index_id=9) (63) segmented into three materials (white matter, gray matter, and cerebrospinal fluid) and calculated the density of eddy currents induced by TMS with the intensity of 60% of the machine power.…”
Section: Simulation Of Tms-induced Eddy Current Density In Monkey Brainmentioning
confidence: 99%
“…The EF strengths on the target region had a normalised standard deviation of 18% (mean value of 203 V/m). In summary, various studies have investigated inter-subject variability of the induced EF ranging from a few to up to 50 subjects (Bijsterbosch et al, 2012;Crowther, Hadimani and Jiles, 2014;Lee et al, 2016;Yamamoto et al, 2016). In the studies reviewed in this and other subsections, adults have been the predominant population segment (figure 5(b)), and the elderly and youth populations are almost unexplored.…”
Section: Effects Of Anatomical and Inter-individual Factorsmentioning
confidence: 99%
“…Hernandez-Garcia et al 2010Homogeneous sphere (7.5 cm) Peterchev (2013, 2014) Homogeneous sphere (8.5 cm) Nummenmaa et al (2013) Homogeneous sphere (globally best-fitted to inner-skull surface) Homogeneous sphere (locally fitted to inner-skull surface close to TMS coil location) Koponen, Nieminen and Ilmoniemi (2015) Homogeneous sphere (8.5 cm) Yamamoto et al (2016) Homogeneous sphere (7.5 cm)…”
mentioning
confidence: 99%