Journal of Neural EngineeringNeurosciencePeer-reviewed journal article
TAP: Targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation
Moritz DannhaueriD, Ziping HuangiD, Lysianne BeyneliD, Eleanor A. WoodiD, Noreen Bukhari‐ParlakturkiD, Angel V. PetercheviD
Abstract
ObjectiveTranscranial magnetic stimulation (TMS) can modulate brain function via an electric field (E-field) induced in a region of interest (ROI) in the brain. The ROI E-field can be computationally maximized and set to match a specific reference using individualized head models to find the optimal coil placement and stimulus intensity. However, the available software lacks many practical features for prospective planning of TMS interventions and retrospective evaluation of the experimental targeting accuracy. ApproachThe TMS targeting and analysis pipeline (TAP) software uses an MRI/fMRI-derived brain target to optimize coil placement considering experimental parameters such as the subjects hair thickness and coil placement restrictions. The coil placement optimization is implemented in SimNIBS 3.2, for which an additional graphical user interface (TargetingNavigator) is provided to visualize and adjust procedural parameters. The coil optimization process also computes the E-field at the target, allowing the selection of the TMS device intensity setting to achieve a specific E-field strength. The optimized coil placement information is prepared for neuronavigation software, which supports targeting during the TMS procedure. The neuronavigation system can record the coil placement during the experiment, and these data can be processed in TAP to quantify the accuracy of the experimental TMS coil placement and induced E-field. Main resultsTAP was demonstrated in a study consisting of three repetitive TMS sessions in five subjects. TMS was delivered by an experienced operator under neuronavigation with the computationally optimized coil placement. Analysis of the experimental accuracy from the recorded neuronavigation data indicated coil location and orientation deviations up to about 2 mm and 2{degrees}, respectively, resulting in an 8% median decrease in the target E-field magnitude compared to the optimal placement. SignificanceTAP supports navigated TMS with a variety of features for rigorous and reproducible stimulation delivery, including planning and evaluation of coil placement and intensity selection for E-field-based dosing.
- Citations
- 40
- FWCI
- 2.99
- Field percentile
- top 7%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Fast computational optimization of TMS coil placement for individualized electric field targeting
L. Gomez, M. Dannhauer, A. V. Peterchev·bioRxiv·May 27, 2020
- Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation
- Real-Time Computation of Brain E-Field for Enhanced Transcranial Magnetic Stimulation Neuronavigation and Optimization
N. I. Hasan, M. Dannhauer, … L. J. Gomez·bioRxiv·Oct 25, 2023
- Design of Transcranial Magnetic Stimulation Coils with Optimal Trade-off between Depth, Focality, and Energy
L. Gomez, S. Goetz, A. V. Peterchev·bioRxiv·Apr 13, 2018
- Personalized electric field simulations of deformable large TMS coils based on automatic position and shape optimization
Torge Worbs, Bianka Rumi, … Axel Thielscher·bioRxiv·Dec 27, 2024
- Quantitative Impact of Coil Misalignment and Misplacement in Transcranial Magnetic Stimulation
Max Koehler, Thomas Kammer, Stefan M. Goetz·bioRxiv·Nov 18, 2023