Optimization of electric field distribution of multichannel Transcranial Magnetic Stimulation based on Genetic Algorithm

Author(s):  
Xinrong Cao ◽  
Dongyang Cai ◽  
Xiaodong Zhang ◽  
Ruiting Liu ◽  
Jintian Tang
2017 ◽  
Vol 128 (3) ◽  
pp. e48-e50 ◽  
Author(s):  
S.R. Fernandes ◽  
R. Salvador ◽  
C. Wenger ◽  
M. de Carvalho ◽  
P.C. Miranda

2016 ◽  
Author(s):  
Lari M. Koponen ◽  
Jaakko O. Nieminen ◽  
Risto J. Ilmoniemi

AbstractThe efficacy of transcranial magnetic stimulation (TMS) is determined by the magnitude and direction of the induced electric field in the cortex. The electric field distribution is influenced by the conductivity structure, in particular, the size of the head and the shapes of conductivity boundaries. We show that neglecting the head size can result in overestimating the stimulus intensity by a factor of 5–8 in the case of the rat brain. In the current modelling literature, the TMS-induced electric field is estimated with detailed computational simulations; however, in many experimental studies, less attention is paid on modelling. We attempt to bridge this gap by suggesting the use of simple simulations, for example with the spherical head model, when studying bioelectromagnetic phenomena.


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