Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation

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  • Objective. Transcranial magnetic stimulation (TMS) with monophasic pulses achieves greater changes in neuronal excitability but requires higher energy and generates more coil heating than TMS with biphasic pulses, and this limits the use of monophasic pulses in rapid-rate protocols. We sought to design a stimulation waveform that retains the characteristics of monophasic TMS but significantly reduces coil heating, thereby enabling higher pulse rates and increased neuromodulation effectiveness.

    Approach. A two-step optimization method was developed that uses the temporal relationship between the electric field (E-field) and coil current waveforms. The optimization step reduced the ohmic losses of the coil current and constrained the error of the E-field waveform compared to a template monophasic TMS pulse, with pulse duration as a second constraint. The second, amplitude adjustment step scaled the candidate waveforms based on simulated neural activation to account for differences in stimulation thresholds. The optimized waveforms were implemented to validate the changes in coil heating.

    Main results. Depending on the pulse duration and E-field matching constraints, the optimized waveforms produced 12% to 75% less heating than the original monophasic pulse. The results were robust across a range of neural models. The changes in the measured ohmic losses of the optimized pulses compared to the original pulse agreed with numeric predictions.

    Significance. The first step of the optimization approach was model-free and exhibited robust performance by avoiding the highly non-linear behavior of neural responses, while neural simulations were only run once for amplitude scaling in the second step. This significantly reduced computational cost compared to iterative methods using large populations of candidate solutions and reduced the sensitivity to choice of neural model. The reduced coil heating and power losses of the optimized pulses can enable rapid-rate monophasic TMS protocols     ... [Read More]

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2 files (1.43 GB)
Data Citation
  • Wang, B., Zhang, J., Li, Z., Grill, W. M., Peterchev, A. V., & Goetz, S. M. (2022). Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r4wd41f7d
DOI
  • 10.7924/r4wd41f7d
Publication Date
ARK
  • ark:/87924/r4wd41f7d
Collection Dates
  • 2021 to 2022
Type
Related Materials
  • Wang, B., Zhang, J., Li, Z., Grill, W. M., Peterchev, A. V., & Goetz, S. M. (2023). Optimized monophasic pulses with equivalent electric field for rapid-rate transcranial magnetic stimulation. Journal of Neural Engineering, 20(3), 036027.  https://doi.org/10.1088/1741-2552/acd081
Funding Agency
  • National Institutes of Health
Grant Number
  • RF1MH124943
Title
  • Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation
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Repository
Thumbnail Title Date Uploaded Visibility Actions
file details Readme.pdf 2023-06-06 Public Download
file details MPS-TMS Two-Step Optimization Code and Data.zip 2022-09-14 Public Download

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