Literature DB >> 31877374

A novel approach to localize cortical TMS effects.

Konstantin Weise1, Ole Numssen2, Axel Thielscher3, Gesa Hartwigsen4, Thomas R Knösche5.   

Abstract

Despite the widespread use of transcranial magnetic stimulation (TMS), the precise cortical locations underlying the resulting physiological and behavioral effects are still only coarsely known. To date, mapping strategies have relied on projection approaches (often termed "center of gravity" approaches) or maximum electric field value evaluation, and therefore localize the stimulated cortical site only approximately and indirectly. Focusing on the motor cortex, we present and validate a novel method to reliably determine the effectively stimulated cortical site at the individual subject level. The approach combines measurements of motor evoked potentials (MEPs) at different coil positions and orientations with numerical modeling of induced electric fields. We identify sharply bounded cortical areas, around the gyral crowns and rims of the motor hand area, as the origin of MEPs and show that the magnitude of the tangential component and the overall magnitude of the electric field are most relevant for the observed effect. To validate our approach, we identified the coil location and orientation that produces the maximal electric field at the predicted stimulation site, and then experimentally show that this location produces MEPs more efficiently than other tested locations/orientations. Moreover, we used extensive uncertainty and sensitivity analyses to verify the robustness of the method and identify the most critical model parameters. Our generic approach improves the localization of the cortical area effectively stimulated by TMS and may be transferred to other modalities such as language mapping.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Brain mapping; Finite element analysis; Motor cortex; Motor threshold; Transcranial magnetic stimulation; Uncertainty and sensitivity analysis

Year:  2019        PMID: 31877374     DOI: 10.1016/j.neuroimage.2019.116486

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

Review 1.  Multiple functions of the angular gyrus at high temporal resolution.

Authors:  Mohamed L Seghier
Journal:  Brain Struct Funct       Date:  2022-06-08       Impact factor: 3.270

2.  A generalized workflow for conducting electric field-optimized, fMRI-guided, transcranial magnetic stimulation.

Authors:  Nicholas L Balderston; Camille Roberts; Emily M Beydler; Zhi-De Deng; Thomas Radman; Bruce Luber; Sarah H Lisanby; Monique Ernst; Christian Grillon
Journal:  Nat Protoc       Date:  2020-09-30       Impact factor: 13.491

3.  Fast computational optimization of TMS coil placement for individualized electric field targeting.

Authors:  Luis J Gomez; Moritz Dannhauer; Angel V Peterchev
Journal:  Neuroimage       Date:  2020-12-30       Impact factor: 6.556

4.  Structural correlates underlying accelerated magnetic stimulation in Parkinson's disease.

Authors:  Gong-Jun Ji; Tingting Liu; Ying Li; Pingping Liu; Jinmei Sun; Xingui Chen; Yanghua Tian; Xianwen Chen; Louisa Dahmani; Hesheng Liu; Kai Wang; Panpan Hu
Journal:  Hum Brain Mapp       Date:  2020-12-14       Impact factor: 5.038

5.  The Myelin Content of the Human Precentral Hand Knob Reflects Interindividual Differences in Manual Motor Control at the Physiological and Behavioral Level.

Authors:  Raffaele Dubbioso; Kristoffer Hougaard Madsen; Axel Thielscher; Hartwig Roman Siebner
Journal:  J Neurosci       Date:  2021-03-02       Impact factor: 6.167

Review 6.  Causal Inferences in Repetitive Transcranial Magnetic Stimulation Research: Challenges and Perspectives.

Authors:  Justyna Hobot; Michał Klincewicz; Kristian Sandberg; Michał Wierzchoń
Journal:  Front Hum Neurosci       Date:  2021-01-14       Impact factor: 3.169

7.  The use of noninvasive brain stimulation techniques to improve reading difficulties in dyslexia: A systematic review.

Authors:  Sabrina Turker; Gesa Hartwigsen
Journal:  Hum Brain Mapp       Date:  2021-10-30       Impact factor: 5.038

8.  An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study.

Authors:  Ga-Young Choi; Chang-Hee Han; Hyung-Tak Lee; Nam-Jong Paik; Won-Seok Kim; Han-Jeong Hwang
Journal:  J Neuroeng Rehabil       Date:  2021-12-20       Impact factor: 4.262

9.  A reexamination of motor and prefrontal TMS in tobacco use disorder: Time for personalized dosing based on electric field modeling?

Authors:  Kevin A Caulfield; Xingbao Li; Mark S George
Journal:  Clin Neurophysiol       Date:  2021-07-10       Impact factor: 4.861

10.  A causal role for the cerebellum in semantic integration: a transcranial magnetic stimulation study.

Authors:  Daniele Gatti; Floris Van Vugt; Tomaso Vecchi
Journal:  Sci Rep       Date:  2020-10-23       Impact factor: 4.379

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