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User Tutorial:Performing an Offline Analysis of MEG Data

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Revision as of 02:35, 18 January 2008 by Jfialkoff (talk | contribs)

The Results

In User Tutorial:Performing an Offline Analysis of EEG Data we manually entered all the analysis parameters. In this tutorial we will make use of a useful feature of BCI2000 Offline Analysis: loading previously saved settings. In order to load the settings for this tutorial, please do the following:

  1. Click File>Load Settings
  2. Navigate to data/samplefiles/
  3. Double-click or otherwise open meg1Analysis.bws

At this point BCI2000 Offline Analysis should look like this:

Now, click "Generate Plots". Once your analysis is complete, you should see spectra and topography plots similar to the plots below:

In designing this analysis, we followed a similar procedure to the procedure outlined in User Tutorial:Performing an Offline Analysis of EEG Data. First, we look for distinct clusters of high r-squared values in the feature plot. Again, these clusters are typically the first indication that the frequency/channel pairs that comprise the cluster may be good features for on-line analysis. In the generated feature plot, we see that one of the clusters with the highest r-squared values is centered around (25 Hz, Channel 14). So, we continue by creating a topography at 25 Hz and a spectra for channel 14. In the previous tutorial, we used these plots to evaluate the physiological plausibility of this response. We first note that there are significant changes in the spectra between movement and rest. Also, the most significant of these changes occur around the beta frequency range. From the topography, we see that the response is