Document Detail

Neuroelectromagnetic forward head modeling toolbox.
MedLine Citation:
PMID:  20457183     Owner:  NLM     Status:  MEDLINE    
This paper introduces a Neuroelectromagnetic Forward Head Modeling Toolbox (NFT) 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 (, 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.
Zeynep Akalin Acar; Scott Makeig
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2010-05-08
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  190     ISSN:  1872-678X     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-07-05     Completed Date:  2010-10-22     Revised Date:  2014-09-20    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  258-70     Citation Subset:  IM    
Copyright Information:
Copyright 2010 Elsevier B.V. All rights reserved.
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MeSH Terms
Access to Information
Brain Mapping / methods
Computer Simulation*
Electroencephalography / methods
Head / physiology*
Magnetic Resonance Imaging / methods*
Models, Biological*
User-Computer Interface
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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