The Neurophysiological Biomarker Toolbox ( NBT ) is an open source MATLAB toolbox for the computation and integration of neurophysiological biomarkers (e.g., biomarkers based on EEG or MEG recordings). The NBT toolbox has so far been used in seven peer-reviewed research articles, and has a broad user base of more than 1000 users. The NBT toolbox provides unique features for analysis of resting-state EEG or MEG recordings. NBT offers a pipeline from data storage to statistics including artifact rejection, signal visualization, biomarker computation, statistical testing, and biomarker databasing. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki (the NBTwiki) that aims at facilitating collaboration among NBT users including extensive help and tutorials. The standardised way of data storage and analysis that NBT proposes allow different research projects to merge, compare, or share their data and biomarker algorithms.
8-459: Neuronal oscillations are generated at many spatial and temporal scales of neuronal organization, and thought to provide a network-level mechanism for the coordination of spatio-temporally distributed spiking activity. For an adequate understanding of quantitative changes in neurophysiological signals, such as electroencephalography (EEG) or magnetoencephalography (MEG), as a consequence of disease, experimental manipulations, or genetic variability there
16-486: Is a MATLAB toolbox distributed under the free BSD license for processing data from electroencephalography (EEG), magnetoencephalography (MEG), and other electrophysiological signals. Along with all the basic processing tools, EEGLAB implements independent 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 formats, preprocess
24-472: Is a need to apply multiple biomarker algorithms. The aim of the NBT toolbox is to make biomarker research easier at all levels. From having raw data, cleaning it, calculating biomarkers, to performing advanced statistics. The NBT toolbox includes biomarkers, such as: The toolbox has a standard template for how biomarkers should be implemented, which makes it relatively easy to implement new biomarkers. Originally
32-620: The Computational Neurobiology Laboratory directed by Terry Sejnowski at the Salk Institute , under the name “the ICA/EEG toolbox”. In 2000, Arnaud Delorme designed a graphical user interface on top of these functions along with some of his artifact removal functions, and released the first version of the “EEGLAB software for artifact removal”. In 2003, Delorme and Makeig joined efforts to release
40-543: The NBT toolbox was started in 2008 by Simon-Shlomo Poil and Klaus Linkenkaer-Hansen from the VU University Amsterdam, the Netherlands. Later the developer team was joined by Rick Jansen, Richard Hardstone, Sonja Simpraga, and Giuseppina Schiavone. The toolbox has also received contributions from many other people. The toolbox and its associated tutorial website has served as a major part of courses at
48-580: The VU University Amsterdam; such as, the Human Neurophysiology course (with on average 100 students each year), and the advanced human neurophysiology. The first public release of the toolbox was made (release candidate R1) on the 18th April 2012. As of March 2014, the toolbox has been downloaded more than 1200 times. The most recent public version of the NBT toolbox is 5.0.2-alpha (released 13 November 2014). Other open-source toolboxes for analysis of M/EEG recordings: EEGLAB EEGLAB
56-486: The data, visualize activity in single trials, and perform ICA. Artifactual ICA components may be subtracted from the data. Alternatively, ICA components representing brain activity may be further processed and analyzed. EEGLAB also allows users to group data from several subjects, and to cluster their independent components. In 1997, a set of data processing functions was first released on the Internet by Scott Makeig in
64-532: The toolbox was aimed at biomarkers based on EEG or MEG signals, recently however the toolbox has moved towards supporting almost any type of biomarker data. The biomarker data and associated meta information is stored in a Matlab-based database; the NBT elements database. The NBT toolbox works as a plugin to the open-source Matlab toolbox EEGLAB . Commercial EEG analysis mainly targeting large clinical research studies or clinical trials are provided as an service to NBT toolbox by NBT Analytics . The development of
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