Abstract
Transcranial magnetic stimulation (TMS) offers possibilities to modulate function in regions of interest (ROI) in the brain via an induced electric field (E-field). The ROI E-field can be maximized using individualized computational head modeling to find an optimal scalp coil placement. We present a TMS targeting and analysis pipeline (TAP) software that uses an MRI/fMRI-derived brain target to optimize a coil placement considering experimental requirements such as subject’s hair thickness and coil placement restriction. 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 optimized coil placement information is prepared for neuronavigation software (Brainsight) which supports the targeting during the TMS experiment. The neuronavigation system can record the coil placement during the experiment and these data can be processed in TAP to evaluate retrospectively and visualize the TMS targeting accuracy.
Highlights
Automated TMS coil targeting pipeline based on MRI/fMRI data and E-field model
Convenient adjustment for experimental requirements and targeting parameters
Accuracy assessment of experimental TMS coil placement based on neuronavigation
Competing Interest Statement
Dr. A. V. Peterchev has received research funding, travel support, patent royalties, consulting fees, equipment loans, hardware donations, and/or patent application support from Rogue Research, Tal Medical/Neurex, Magstim, MagVenture, Neuronetics, BTL Industries, and Advise Connect Inspire. The other co-authors report no relevant disclosures.
