title: Neuroelectromagnetic forward modeling toolbox.
abstract: This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically. The toolbox includes tools for segmenting scalp, skull, cerebrospinal fluid (CSF) and brain tissues from T1-weighted magnetic resonance (MR) images. After extracting the segmented tissue volumes, mesh generation can be performed using deformable models. When MR images are not available, it is possible to warp a template head model to measured electrode locations to obtain a better-fitting realistic model. The Boundary Element Method (BEM) is used for the numerical solution of the forward problem. Toolbox functions can be called from either a graphic user interface or from the command line. Function help messages and a tutorial are included. The toolbox is freely available under the GNU Public License for noncommercial use and open source development.
authors.affiliation: Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California-San Diego, La Jolla, CA, USA. zeynep@sccn.ucsd.edu
authors.forename: Zeynep
authors.initials: Z
authors.lastname: Akalin Acar
authors.forename: Scott
authors.initials: S
authors.lastname: Makeig
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D000818:Animals; D001921:Brain / Q000378:metabolism; D002555:Cerebrospinal Fluid / Q000378:metabolism; D019295:Computational Biology; D004566:Electrodes; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D009716:Numerical Analysis, Computer-Assisted; D011827:Radiation; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software