SimNIBS 4¶
SimNIBS 4 is a free and open source software package for the Simulation of Non-invasive Brain Stimulation. It allows for realistic calculations of the electric field induced by transcranial magnetic stimulation (TMS) and transcranial electric stimulation (TES).
A SimNIBS workflow consists of three main parts:
Generate high-quality head models from MR images.
Set up and run simulation using our fast FEM solvers in the graphical user interface, or via MATLAB or Python scripts.
Visualize simulation results, and easily transform them to FsAverage or MNI space via in-built functions.
SimNIBS offers several advanced options such as Optimizations of TMS coil positions, or TES optimizations for single and multiple targets and brain network targeting.
SimNIBS is copyrighted © by its authors and licensed under GPL v3.
Note
When you publish results based on SimNIBS, please cite 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? IEEE EMBS 2015, Milano, Italy
Please see our publications for details about the SimNIBS modules.
Warning
SimNIBS is a research tool. Clinical usage is not supported or advised. In particular, SimNIBS was not tested to give accurate results in the presence of pathological condition
News¶
Version 4.0.0 is a major update that introduces our new head modeling approach charm. In contrast to the previous methods, charm does not have any external dependencies (matlab, freesurfer) and is ready-to-run directly after installation. Head models created by charm are more accurate for non-brain tissues and include additional tissue types such as large blood vessels and spongy bone.
Charm replaces the previous methods mri2mesh and headreco which are discontinued. Use the tool convert_3_to_4 to convert old head models for use in SimNIBS4 simulations.
Further major new features are the inclusion of many new TMS coil models and a flexible meshing approach to simplify manual editing and inclusion of custom tissue types in the head mesh. Basic I/O functions for neuronavigation data are now also available in python.
Please see details in the changelog.
