| Neuroelectromagnetic forward head modeling toolbox. | |
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MedLine Citation:
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PMID: 20457183 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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 (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. |
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Authors:
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Zeynep Akalin Acar; Scott Makeig |
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Publication Detail:
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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:
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Title: Journal of neuroscience methods Volume: 190 ISSN: 1872-678X ISO Abbreviation: J. Neurosci. Methods Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-07-05 Completed Date: 2010-10-22 Revised Date: 2010-12-17 |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 258-70 Citation Subset: IM |
Copyright Information:
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Copyright 2010 Elsevier B.V. All rights reserved. |
Affiliation:
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Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093-0961, USA. zeynep@sccn.ucs |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Access to Information Algorithms Anisotropy Brain Mapping / methods Computer Simulation* Electroencephalography / methods Head / physiology* Humans Internet Magnetic Resonance Imaging / methods* Models, Biological* Software* User-Computer Interface |
| Grant Support | |
ID/Acronym/Agency:
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NS047293-04/NS/NINDS NIH HHS; R01 NS047293-07/NS/NINDS NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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