If you're interested in becoming a contributor or requesting changes then click here to join the discord

NFT: Neuroelectromag Forward Modeling

From Brain Computer Interface Wiki
Jump to navigation Jump to search

Neuroelectromagnetic Forward Modeling Toolbox (NFT) is a MATLAB toolbox for generating realistic head models from available data (MRI and/or electrode locations) and for computing numerical solutions for solving the forward problem of electromagnetic source imaging (Zeynep Akalin Acar & S. Makeig, 2010). NFT includes tools for segmenting scalp, skull, cerebrospinal fluid (CSF) and brain tissues from T1-weighted magnetic resonance (MR) images. The Boundary Element Method (BEM) is used for the numerical solution of the forward problem. After extracting the segmented tissue volumes, surface BEM meshes may be generated. When a subject MR image is not available, a template head model may be warped to 3-D measured electrode locations to obtain an individualized BEM head model. Toolbox functions can be called from either a graphic user interface (gui) compatible with EEGLAB (sccn.ucsd.edu/eeglab), or from the MATLAB command line. Function help messages and a user tutorial are included. The toolbox is freely available for noncommercial use and open source development under the GNU Public License.


GitHub Docs