Journal
JOURNAL OF NEUROSCIENCE METHODS
Volume 190, Issue 2, Pages 258-270Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2010.04.031
Keywords
MATLAB; Software; Head modeling; EEG; Boundary Element Method; BEM; Realistic; 4-layer head model; MNI; Inverse problem; Source localization
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Funding
- NIH [NS047293-04]
- NSF [0613595]
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [0613595] Funding Source: National Science Foundation
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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. (C) 2010 Elsevier B.V. All rights reserved.
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