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Communication Dans Un Congrès Année : 2022

Effect of Permittivity on Temporal Interference Modeling

Résumé

Temporal interference (TI) is a recent development to target deep brain areas using transcranial alternating current stimulation (tACS). This technique is under investigation to estimate its ability to provide non-invasive deep brain stimulation. Modeling studies are carried out to study it and estimate the potential of the method. However, the modeling is commonly performed using quasi-static approximation together with purely ohmic tissues. Here is studied the impact of neglecting the capacitive effect of tissues, and so their permittivity, to estimate the electric field (EF) in deep brain areas. The results show a relative error below 10% at the brain level, demonstrating a good approximation using purely ohmic tissues for this purpose.
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Dates et versions

hal-04281980 , version 1 (13-11-2023)

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  • HAL Id : hal-04281980 , version 1

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Gabriel Gaugain, Maxim Zhadobov, Ronan Sauleau, Julien Modolo, Denys Nikolayev. Effect of Permittivity on Temporal Interference Modeling. BioEM2022, Jun 2022, Nagoya (on line), Japan. ⟨hal-04281980⟩
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