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  Efficient high-resolution TMS mapping of the human motor cortex by nonlinear regression

Numssen, O., Zier, A., Thielscher, A., Hartwigsen, G., Knösche, T. R., & Weise, K. (2021). Efficient high-resolution TMS mapping of the human motor cortex by nonlinear regression. NeuroImage, 245: 118654. doi:10.1016/j.neuroimage.2021.118654.

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 Creators:
Numssen, Ole1, Author              
Zier, Anna1, 2, Author
Thielscher, Axel3, 4, Author
Hartwigsen, Gesa1, Author              
Knösche, Thomas R.2, 5, Author              
Weise, Konstantin2, 6, Author              
Affiliations:
1Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3025665              
2Methods and Development Group Brain Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650              
3Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark, ou_persistent22              
4Department of Health Technology, Technical University of Denmark, Lyngby, Denmark, ou_persistent22              
5Institute for Biomedical Engineering and Informatics, TU Ilmenau, Gemany, ou_persistent22              
6Department of Advanced Electromagnetics, TU Ilmenau, Gemany, ou_persistent22              

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Free keywords: Brain mapping; Finite element analysis; Motor cortex; Transcranial magnetic stimulation; Motor threshold
 Abstract: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate causal structure-function relationships in the human brain. However, a precise delineation of the effectively stimulated neuronal populations is notoriously impeded by the widespread and complex distribution of the induced electric field. Here, we propose a method that allows rapid and feasible cortical localization at the individual subject level. The functional relationship between electric field and behavioral effect is quantified by combining experimental data with numerically modeled fields to identify the cortical origin of the modulated effect. Motor evoked potentials (MEPs) from three finger muscles were recorded for a set of random stimulations around the primary motor area. All induced electric fields were nonlinearly regressed against the elicited MEPs to identify their cortical origin. We could distinguish cortical muscle representation with high spatial resolution and localized them primarily on the crowns and rims of the precentral gyrus. A post-hoc analysis revealed exponential convergence of the method with the number of stimulations, yielding a minimum of about 180 random stimulations 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.

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Language(s): eng - English
 Dates: 2021-09-222021-03-262021-10-112021-10-122021-12-15
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2021.118654
Other: online ahead of print
PMID: 34653612
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Project name : -
Grant ID : HA 6314/3–1, HA 6314/9–1, KN 588/10–1 and WE 59851/2
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Funding organization : Deutsche Forschungsgemeinschaft (DFG)
Project name : -
Grant ID : R244–2017–196 and R313–2019–622
Funding program : -
Funding organization : Lundbeck Foundation

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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 245 Sequence Number: 118654 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166