Title :
Sensitivity of TMS-induced electric fields to the uncertainty in coil placement and brain anatomy
Author :
Gomez, Luis J. ; Yucel, Abdulkadir C. ; Michielssen, Eric ; Hernandez-Garcia, Luis ; Taylor, Stephan F.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
A computational framework for statistically characterizing electric (E-) fields generated during transcranial magnetic stimulation (TMS) is presented. The framework combines a high dimensional model representation (HDMR) technique with a quasi-static finite-difference (QSFD) simulator to obtain statistics of E-fields due to uncertainty in the TMS setup and patient´s brain anatomy. Application of the proposed computational framework shows that E-fields induced by TMS are highly sensitive to the position and orientation of TMS coils, as well as the size of patient´s brain.
Keywords :
bioelectric potentials; brain; coils; finite difference methods; statistical analysis; transcranial magnetic stimulation; TMS coil orientation; TMS coil position; TMS-induced electric field sensitivity; brain anatomy; coil placement; high dimensional model representation; patient brain anatomy; quasistatic finite-difference simulator; statistically characterizing electric fields; transcranial magnetic stimulation; Brain modeling; Coils; Computational modeling; Numerical models; Random variables; Uncertainty;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
Print_ISBN :
978-1-4799-3538-3
DOI :
10.1109/APS.2014.6904334
