SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation
- PMID: 31725247
- Bookshelf ID: NBK549569
- DOI: 10.1007/978-3-030-21293-3_1
SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation
Excerpt
Numerical simulation of the electric fields induced by non-invasive brain stimulation (NIBS), using realistic anatomical head models has gained interest in recent years for understanding the NIBS effects in individual subjects. Although automated tools for generating the head models and performing the electric field simulations have become available, individualized modelling is still not a standard practice in NIBS studies. This is likely partly explained by the lack of robustness and usability of the previously available software tools, and partly by the still developing understanding of the link between physiological effects and electric field distributions in the brain. To facilitate individualized modelling in NIBS, we have introduced the SimNIBS (Simulation of NIBS) software package, providing easy-to-use automated tools for electric field modelling. In this chapter, we give an overview of the modelling pipeline in SimNIBS 2.1, with step-by-step examples of how to run a simulation. Furthermore, we demonstrate a set of scripts for extracting average electric fields for a group of subjects, and finally demonstrate the accuracy of automated placement of standard electrode montages on the head model. SimNIBS 2.1 is freely available at
Copyright 2019, The Author(s).
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References
-
- Fregni, F., & Pascual-Leone, A. (2007). Technology insight: Noninvasive brain stimulation in neurology – Perspectives on the therapeutic potential of rTMS and tDCS. Nature Clinical Practice Neurology, 3(7): 282–393 - PubMed
-
- Thielscher, A., Antunes, A., and Saturnino, G. B.. (2015). Field modeling for transcranial magnetic stimulation: A useful tool to understand the physiological effects of TMS? In Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS (pp. 222–225). - PubMed
-
- Guerra, A., López-Alonso, V., Cheeran, B., & Suppa, A. (2018). Solutions for managing variability in non-invasive brain stimulation studies. Neuroscience Letters. - PubMed
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