The Neurophysiological Biomarker Toolbox (NBT)

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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 Neurophysiological Biomarker Toolbox (NBT) is an open source Matlab toolbox for the computation and integration of neurophysiological biomarkers (Quantitative electroencephalography (qEEG)). NBT offers a M/EEG analysis pipeline from data storage to statistics including artefact rejection, signal visualization, biomarker computation, statistical testing, machine learning, and biomarker databasing. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki (this website) that facilitates collaboration among NBT users including extensive help and tutorials. The standardised way of data storage and analysis that NBT proposes will allow different research projects to merge, compare or share their data and M/EEG biomarker algorithms. The NBT toolbox also makes it easy to integrate questionaire data or cognitive scores

The Neurophysiological Biomarker Toolbox is mainly developed by the Neuronal Oscillations and Cognition Group at the CNCR with partial funding from the Neuroscience Campus Amsterdam, VU University Amsterdam.

Main development team: Simon-Shlomo Poil, Sonja Simpraga, Richard Hardstone, Klaus Linkenkaer-Hansen.

Previous members of the development team: Giuseppina Schiavone, Rick Jansen

Also contributing: German Gomez-Herrero, Thijs Rinsma, Rick Wassing, Alexander Diaz, Piotr Sokol, Espen A. F. Ihlen, Ilse Verweij.

NBT features

The NBT is specialized in that it provides a systematic, efficient, and exhaustive characterization of information in recordings of ongoing neuronal oscillations based on a variety of biomarker algorithms.

NBT is both an standard M/EEG toolbox, with support of basic pre-processing features and strong integration with EEGLAB, but also a unique toolbox for the statistical analysis of biomarkers. The NBT toolbox includes machine learning tools for data-mining large sets of biomarkers.

NBT is specialized in analyzing electroencephalography (EEG) and Magnetoencephalography (MEG) data, however it allows the processing of any kind of signal. NBT is mainly focused on statistical analysis of data from clinical research. Typical problems that the NBT will help you solve, are to identify and quantify differences in ongoing neuronal activity between:

  • Eyes-closed rest of subject populations (e.g., healthy subjects and patients, males vs. females, young vs. old, etc.).
  • Two experimental condition (e.g., classical eyes-closed rest vs. meditation, or before vs. after consumption of a CNS-active substance (a drug, coffee, nicotine, alcohol, etc.).

Outsource your EEG analysis

Outsource part of your EEG Analysis to the team behind the Neurophysiological Biomarker Toolbox (NBT). We can provide you with processing of your EEG data from raw recordings to final results. Alternatively, you perform part of the analysis with the NBT toolbox , and contract us for hotline support or for programming additional functionalities. Click here to read more .

Become a developer of NBT and the NBTwiki

We welcome contributions! See Get involved!

If you have suggestions for new biomarkers please use our biomarker suggestions form.

Requests for joining NBT development can be given by writing a mail to Simon-Shlomo Poil > Click here to reveal address.

Please read our policy for contributions, see Copyrights.

How to get NBT?

start.1431616989.txt.gz · Last modified: 2015/05/14 15:23 by Simon-Shlomo Poil
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