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ROAST: Realistic vOlumetric Approach to Simulate Transcranial electric stimulation

parralab.org · 1,273 words · saved by 1 readers

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. This work was made possible by NIH through a number of grants (see below), but especially NIMH R01-MH111896 and NINDS R44-NS092144. Also Soterix Medical Inc provided significant support. Download ROAST (v 3.0, codenamed Hell's Kitchen)* | Go to the github repo for well-fomatted documentations Unzip this file, launch Matlab** and change to the roast directory, then enter: This will demo a modeling process on the MNI152 head. Specifically, it will use the T1 image of the 6th gen MNI-152 head to build a TES model with anode on Fp1

Parra lab at City University of New York ROAST ROAST: A fully automated, R ealistic, v O lumetric A pproach to S imulate T ranscranial 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. This work was made possible by NIH through a number of grants (see below), but e

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