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Precise motor mapping with TMS

MPS-Authors
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Numssen,  Ole       
Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Weise,  Konstantin       
Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Kalloch,  Benjamin       
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Hartwigsen,  Gesa       
Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Knösche,  Thomas R.       
Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Numssen_2023.pdf
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Citation

Numssen, O., Weise, K., Kalloch, B., Zier, A. L., Thielscher, J., Hartwigsen, G., et al. (2023). Precise motor mapping with TMS. Brain Stimulation, 16(1): 214. doi:10.1016/j.brs.2023.01.297.


Cite as: https://hdl.handle.net/21.11116/0000-000C-9E98-7
Abstract
We describe a routine to precisely localize cortical muscle representations within the primary motor cortex with transcranial magnetic stimulation (TMS) based on the functional relation between induced electric fields at the cortical level and peripheral muscle activation (motor evoked potentials; MEPs). Besides providing insights into structure-function relationships, this routine lays the foundation for TMS dosing metrics based on subject-specific cortical electric field thresholds.

MEPs for different coil positions and orientations are combined with electric field modeling, exploiting the causal nature of neuronal activation to pinpoint the cortical origin of the MEPs. This involves constructing an individual head model from magnetic resonance imaging (MRI) data, recording MEPs via electromyography during TMS, and computing the induced electric fields with numerical modeling. The cortical muscle representations are determined by relating the TMS induced electric fields to the MEP amplitudes. Subsequently, the coil position to optimally stimulate the origin of the identified cortical MEP can be determined by numerical modeling. Using this approach, we could distinguish cortical muscle representations of three finger muscles (FDI, ADM, APB) with high spatial resolution on the individual subject level and localized them primarily on the crowns and rims of the precentral gyrus. A post-hoc analysis revealed exponential convergence of the mapping with the number of stimulations, yielding a minimum of about 180 stimulations from random coil positions to obtain stable results.

Establishing a functional link between the modulated effect and the underlying mode of action, the induced electric field, is a fundamental step to fully exploit the potential of TMS. In contrast to previous approaches, the presented protocol is particularly easy to implement, fast to apply, and very robust due to the random coil positioning and therefore is suitable for practical and clinical applications.