Neurophysiological Biomarker Toolbox
| Initial release | 18 April 2012 |
|---|---|
| Written in | Matlab |
| Operating system | All OS supported by Matlab |
| Available in | English |
| Type | Statistical software |
| License | GPL v3.0 |
| Website |
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 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 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 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 the VU University Amsterdam; such as, the Human Neurophysiology course (with on average 100 students each year), and the advanced human neurophysiology.
18. April 2012 the first public release of the toolbox was made (release candidate R1). The toolbox has been downloaded more than 1200 times (March 2014). 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:
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