The Neurophysiological Biomarker Toolbox (NBT)

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

start [2015/06/03 17:34]
Simon-Shlomo Poil
start [2020/05/03 17:10] (current)
Simon-Shlomo Poil
Line 1: Line 1:
- ~~NOTOC~~  +~~NOTOC~~  
 {{description>The Neurophysiological Biomarker Toolbox (NBT) is an open source Matlab toolbox for the computation and integration of neurophysiological (EEG) biomarkers.}} {{description>The Neurophysiological Biomarker Toolbox (NBT) is an open source Matlab toolbox for the computation and integration of neurophysiological (EEG) biomarkers.}}
  
 ======  Introduction ======  ======  Introduction ====== 
-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.  +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 (NBT) is an open source Matlab toolbox for the computation and analysis of neurophysiological biomarkers (Quantitative electroencephalography (qEEG)). NBT offers an 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 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 [[http://www.cncr.nl/research_teams/neuronal_oscillations_and_cognition/|Neuronal Oscillations and Cognition Group]] at the [[http://www.cncr.nl/|CNCR]] with partial funding from the [[http://www.neurosciencecampus-amsterdam.nl/|Neuroscience Campus Amsterdam]], VU University Amsterdam+The Neurophysiological Biomarker Toolbox is developed by the [[http://www.cncr.nl/research_teams/neuronal_oscillations_and_cognition/|Neuronal Oscillations and Cognition Group]] at the [[http://www.cncr.nl/|CNCR]], VU University Amsterdam together with the [[http://nbtresearch.nbtwiki.net|NBTresearch organization]] and [[http://www.nbt-analytics.com|NBT Analytics BV]]. NBT Analytics provides EEG analysis services for clinical trials.
  
-Main development team: [[http://www.poil.dk/s/|Simon-Shlomo Poil]], Sonja Simpraga, Richard Hardstone, [[http://www.cncr.nl/research_teams/neuronal_oscillations_and_cognition/|Klaus Linkenkaer-Hansen]].+NBT comes in two versions; the NBT public version (available from this website) and the NBT research version ([[http://nbtresearch.nbtwiki.net|read more here]]
 + 
  
-Previous members of the development team: Giuseppina Schiavone, [[http://www.neurosciencecampus-amsterdam.nl/en/people/staff-a-z/staff-i-l/rjansen/index.asp|Rick Jansen]] +Main development team: [[http://www.poil.dk/s/|Simon-Shlomo Poil]], Sonja SimpragaSimon J. Houtman[[http://www.cncr.nl/research_teams/neuronal_oscillations_and_cognition/|Klaus Linkenkaer-Hansen]].
- +
-Also contributing: German Gomez-HerreroThijs RinsmaRick Wassing, Alexander DiazPiotr Sokol, Espen AFIhlen, Ilse Verweij+
  
 +Previous members of the development team: Richard Hardstone, Giuseppina Schiavone, [[http://www.neurosciencecampus-amsterdam.nl/en/people/staff-a-z/staff-i-l/rjansen/index.asp|Rick Jansen]]
  
 ====== NBT features ====== ====== 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 [[tutorial:list_of_biomarkers|variety of biomarker algorithms]].  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 [[tutorial:list_of_biomarkers|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 both 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: 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.).   * 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. meditationor before vs. after consumption of a CNS-active substance (a drug, coffee, nicotine, alcohol, etc.).+  * Two experimental condition (e.g., classical eyes-closed rest vs. meditationor before vs. after consumption of a CNS-active substance be it a drug, coffee, nicotine, alcohol, etc.).
  
 ====== Outsource your EEG analysis ====== ====== Outsource your EEG analysis ======
Line 39: Line 39:
 Please read our policy for contributions, see [[:copyrights|]]. Please read our policy for contributions, see [[:copyrights|]].
  
 + 
  
 ====== How to get NBT? ====== ====== How to get NBT? ======
start.1433352891.txt.gz · Last modified: 2015/06/03 17:34 by Simon-Shlomo Poil
The NBTwiki platform - version 2.8 - 9 May 2013
Copyright (C) 2008-2015