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Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation.

Gangliang Zhong1,2, Fang Jin1, Liang Ma1

  • 1Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

Neuroinformatics
|January 8, 2025
PubMed
Summary

We developed a new framework for optimal transcranial magnetic stimulation (TMS) coil placement, simplifying the process by eliminating the need for segmentation and meshing. This method enhances the convenience of TMS assessment and therapy.

Keywords:
Coil placementE-fieldStimulation effects mappingTranscranial magnetic stimulation

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biophysics

Background:

  • Optimal transcranial magnetic stimulation (TMS) coil placement is crucial for accurately assessing and modulating cortical excitability.
  • Current electric field (E-field) simulation methods for determining optimal coil placement are labor-intensive due to required segmentation and meshing procedures.

Purpose of the Study:

  • To develop a streamlined framework for identifying optimal TMS coil placement without requiring segmentation or meshing.
  • To establish a method for providing optimal coil placement in standardized coordinate systems (HAC and MNI) for target regions.

Main Methods:

  • Construction of the Stimulation Effects Map (SEM) framework using the CASIA dataset.
  • Leave-one-subject-out cross-validation to assess the consistency of SEM-determined optimal coil placement across 74 target regions and multiple datasets (CASIA, HCP15, HCP100).
  • Comparison of E-field norms derived from SEM and the auxiliary dipole method (ADM) using DP and CASIA II datasets.

Main Results:

  • The SEM framework successfully determined optimal coil placement without segmentation or meshing.
  • Consistent optimal coil placement and target region identification were demonstrated across 74 regions and multiple datasets.
  • SEM-derived normal E-fields were found to be more significant than those obtained using ADM.

Conclusions:

  • The SEM framework offers a consistent and efficient method for determining optimal TMS coil placement.
  • This approach simplifies TMS procedures, making both assessment and therapeutic applications more accessible.
  • The provision of optimal coil placement in HAC and MNI coordinates facilitates broader clinical and research application.