Field modeling for transcranial magnetic stimulation: A useful tool to understand the physiological effects of TMS?
By Axel Thielscher, Andre Antunes, Guilherme B. Saturnino. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
879 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Neurology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/5a328820c295c31352cd3a213202463736419f96
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Neurology
- Til Ole Bergmann
- Min-Fang Kuo
- Hartwig Roman Siebner
- Marom Bikson
- Michael A. Nitsche
- Axel Thielscher
- Abhishek Datta
- Guilherme B. Saturnino
In Radiology, Nuclear Medicine and Imaging
- Til Ole Bergmann
- Guilherme B. Saturnino
- Hartwig Roman Siebner
- Irina Akopian
- Abhishek Datta
- Yu Huang
- Lucas C. Parra
- Marom Bikson
Citations in the corpus
- Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline (2017, methodology): “Notable in terms of ease of use (if not of installation) is SimNIBS (Windhoff et al., 2011; Thielscher et al., 2015; Saturnino et al., 2015), which integrates FreeSurfer, FSL, Gmsh and getDP to provide a complete end-to-end solution.”
- The non-transcranial TMS-evoked potential is an inherent source of ambiguity in TMS-EEG studies (2018, methodology): “…participant and each condition were performed with SimNIBS software 2.0 (SimNIBS 2.0, http://simnibs.de) (Thielscher et al., 2015) using realistic head models automatically generated from the individual T1-weighted and T2-weighted MR images as described elsewhere (Thielscher et al., 2011, 2015).”
- Quantifying and reporting the precision of transcranial magnetic stimulation targeting. (2024, unknown): “Incorporating electric field models (Opitz, 2016; Thielscher et al., 2015; Nummenmaa, 2014; Bal-derston, 2020) can further inform optimal coil placement, in terms of its rotation/orientation relative to the gyri/sulci at the targeted cortical surface (Dannhauer, 2022; Gomez et al., 2021; Numssen et…”
- Prioritizing working memory resources depends on prefrontal cortex (2024, unknown): “We modeled the electrical field induced by TMS using SimNIBS (v. 3.2.6) 46 .”
- How structural and functional MRI can inform dual-site tACS parameters: A case study in a clinical population and its pragmatic implications. (2022, unknown): “5 mA in each peripheral electrode [75].”
- Phase synchronized 6 Hz transcranial electric and magnetic stimulation boosts frontal theta activity and enhances working memory (2021, background): “0 ( Thielscher et al., 2015 ) on a template head model proided in the example dataset (ernie.msh).”
- Network‐based rTMS to modulate working memory: The difficult choice of effective parameters for online interventions (2021, unknown): “2.0.1; Thielscher et al., 2015).”