Neuroelectromagnetic Forward Head Modeling Toolbox

作者：Acar Zeynep Akalin^*; Makeig Scott

来源：Journal of Neuroscience Methods, 2010, 190(2): 258-270.

DOI：10.1016/j.jneumeth.2010.04.031

• MATLAB
• Software
• Head modeling
• EEG
• Boundary Element Method
• BEM
• Realistic
• 4-layer head model
• MNI
• Inverse problem
• Source localization

This paper introduces a Neuroelectromagnetic Forward Head Modeling Toolbox (NET) running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for computing numerical solutions for the forward problem of electromagnetic source imaging. The 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 segmented tissue volumes, surface BEM meshes can be generated. When a subject MR image is not available, a template head model can be warped to measured electrode locations to obtain an individualized head model. Toolbox functions may be called either from a graphic user interface compatible with EEGLAB (http://sccn.ucsd.edu/eeglab), or from the MATLAB command line. Function help messages and a user tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development.

• 出版日期2010-7-15