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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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Numssen, Ole1, Autor           
Zier, Anna1, 2, Autor
Thielscher, Axel3, 4, Autor
Hartwigsen, Gesa1, Autor           
Knösche, Thomas R.2, 5, Autor           
Weise, Konstantin2, 6, Autor           
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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Schlagwörter: Brain mapping; Finite element analysis; Motor cortex; Transcranial magnetic stimulation; Motor threshold
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2021-09-222021-03-262021-10-112021-10-122021-12-15
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1016/j.neuroimage.2021.118654
Anderer: epub 2021
PMID: 34653612
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Grant ID : HA 6314/3–1; HA 6314/9–1; KN 588/10–1; WE 59851/2
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Förderorganisation : Deutsche Forschungsgemeinschaft (DFG)
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Grant ID : R244–2017–196; R313–2019–622
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Förderorganisation : Lundbeck Foundation
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Förderorganisation : Max Planck Society
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Förderorganisation : Foundation CELLEX

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 245 Artikelnummer: 118654 Start- / Endseite: - Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166