ROAST: Realistic vOlumetric-Approach-based Simulator for Transcranial electric stimulation

ROAST: A fully automated, Realistic, vOlumetric Approach to Simulate Transcranial electric stimulation. This is an open-source tool that runs on Matlab and calls open-source software packages such as iso2mesh and getDP. Starting from an MRI structural image, it segments the full head, places virtual electrodes, generates an FEM mesh and solves for voltage and electric field distribution — at 1 mm resolution. All this in about 10-30 minutes and fully automated. It can also generate optimal stimulation montage for targeted stimulation.

ROAST features:
– fully automated, easy to use
– volumetric modeling of head anatomy
– supports major electrode layouts such as 10/20, 10/10, 10/05, BioSemi, and EGI
– supports pad, disk, and ring electrodes with customizable electrode sizes
– example dataset with one 1-mm MRI and one 0.5-mm MRI (the New York head)
– supports TES targeting
– 3D visualization of simulated and optimized electric field in the head
– detailed log of simulation parameters to help your research
– the only validated TES modeling toolbox by intracranial recording

References:

[1] Huang, Y., Datta, A., Bikson, M., Parra, L.C., Realistic vOlumetric-Approach to Simulate Transcranial Electric Stimulation — ROAST — a fully automated open-source pipeline, Journal of Neural Engineering, Vol. 16, No. 5, 2019