- EEGLAB
EEGLAB is a
Matlab toolbox distributed under the freeGNU GPL license for processing data fromelectroencephalography (EEG),magnetoencephalography MEG and other electrophysiological device. Along with all the basic processing tools, EEGLAB implementsindependent component analysis (ICA), time/frequency analysis, artifact rejection, and several modes of data visualization. EEGLAB allows users to import their electrophysiological data in about 20 binary file format from standard EEG manufacturer, preprocess it, visualize activity in single trials, and perform ICA. Artifactual ICA components may be subtrated from the data. Alternatively, ICA components representing brain activity may be further processed and analyzed. EEGLAB also allow users to group data from several subjects, and to cluster their independent components. EEGLAB may be downloaded at http://sccn.ucsd.edu/eeglabHistory
In 1997, a set of data processing functions was first released on the Internet by Scott Makeig at the
Salk Institute , under the name “the ICA/EEG toolbox”. In 2000, Arnaud Delorme designed a graphic interface on the top of these functions along with some of his own artifact removal functions, and released the first version of the “EEGLAB software for artifact removal”. In 2003, Delorme and Makeig joined effort to release the first stable and fully documented version of EEGLAB. In 2004, EEGLAB was awarded funding by theNIH for continued development of research software.tatistics
EEGLAB has been downloaded about 25,000 times from 73 countries worldwide (2003-2006). EEGLAB comprises about 380 stand-alone Matlab functions (version 5.03), and a total of about 50,000 lines of code. EEGLAB also contains 22 user-contributed plugins (2006). The most popular plugins are the DIPFIT plugin for source localization of ICA components of EEG data. Another popular plugin called FMRIB allows removal of fMRI artifact in EEG data. A total of about 200 researchers have contributed directly or indirectly to the software by programming functions or reporting bugs.
Sources
A Delorme & S Makeig. "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics," Journal of Neuroscience Methods 134:9-21 (2004)
S Makeig, S Debener, J Onton, & A Delorme. Mining event-related brain dynamics, Trends in Cognitive Science, 8(5):204-210 (2004)
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