Modeling the stress and forces on multi-channel TMS coil arrays in high-field MRI scanners

Maria A. Koponen*, Juuso T. Korhonen, José A. Vilchez Membrilla, Heikki Sinisalo, Jaakko Paasonen, Clemente Cobos Sánchez, Olli Gröhn, Risto J. Ilmoniemi, Victor H. Souza

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Transcranial magnetic stimulation (TMS) is a non-invasive method for stimulating the cortex. Concurrent functional magnetic resonance imaging can show changes in TMS-induced activity in the whole brain, with the potential to inform brain function research and to guide the development of TMS therapy. However, the interaction of the strong current pulses in the TMS coil in the static main magnetic field of the MRI produces high Lorentz forces, which may damage the coil enclosure and compromise the patient’s safety. We studied the time-dependent mechanical behavior and durability of two multi-locus TMS (mTMS) coil arrays inside a high-field MRI bore with finite element modeling. In addition, coil arrays were built and tested based on the simulation results. We found that the current pulses produce shock waves and time-dependent stress distribution in the coil plates. The intensity and location of the maximum stress depend on the current waveform, the coil combination, and the transducer orientation relative to the MRI magnetic field. We found that 30% glass-fiber-filled polyamide is the most durable material out of the six options studied. In addition, novel insights for more durable TMS coil designs were obtained. Our study contributes to a comprehensive understanding of the underlying mechanisms responsible for the structural failure of mTMS coil arrays during stimulation within high static magnetic fields. This knowledge is essential for developing mechanically stable and safe mTMS-MRI transducers.

Original languageEnglish
Article number175001
Pages (from-to)1-13
Number of pages13
JournalPhysics in Medicine and Biology
Volume69
Issue number17
DOIs
Publication statusPublished - 14 Aug 2024
MoE publication typeA1 Journal article-refereed

Keywords

  • finite element modeling
  • functional magnetic resonance imaging
  • multi-channel TMS
  • multi-locus TMS
  • TMS
  • TMS-fMRI
  • transcranial magnetic stimulation

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