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Neurophysiological Biomarker Toolbox

MATLAB toolbox for neurophysiological biomarkers

  • 3 min read
  • 3 chapters

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Features

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.

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