A high-resolution finite element method (FEM) human head model for non-invasive brain stimulation

High-resolution finite element method (FEM) model of a human head for non-invasive brain stimulation modeling using SimNIBS or other compatible software. The original head model (Ernie) was downloaded from the tutorial dataset of www.simnibs.org and further refined in grey matter and white matter regions. This supplementary dataset is released as part of the NeMo-TMS toolbox (https://github.com/OpitzLab/NeMo-TMS). Please refer to the corresponding article for more information: Shirinpour, S., Hananeia, N., Rosado, J., Galanis, C., Vlachos, A., Jedlicka, P., Queisser, G., & Opitz, A. (2020). Multi-scale Modeling Toolbox for Single Neuron and Subcellular Activity under (repetitive) Transcranial Magnetic Stimulation. BioRxiv, 2020.09.23.310219. https://doi.org/10.1101/2020.09.23.310219

This work was supported by the National Institutes of Health (R01MH118930, R01NS109498, RF1MH117428).

Related Organizations

University of Minnesota Morris
United States

Keywords

FEM, TMS

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average