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| The idea is to interpolate your MEG data to a standardised sensory array, apply statistics on your sensory data (e.g. SensorSPM), and run source analysis using a standardised head model on the grand-averaged MEG data (and possibly on individual subjects as well). | The following analysis path is probaby the quickest to lead you from your MEG data to presentable source estimates, with some compromised with respect to accuracy and statistical analysis. The general idea is this: 1) interpolate your MEG data to a standardised sensory array 2) apply statistics in "signal space" (e.g. using SensorSPM), in order to detect significant contrasts and latency ranges 3) run source analysis using a standardised head model on the grand-averaged MEG data 4) possibly apply the same source analysis on individual subject data, e.g. for statistical analysis in "source space" |
The following analysis path is probaby the quickest to lead you from your MEG data to presentable source estimates, with some compromised with respect to accuracy and statistical analysis. The general idea is this:
1) interpolate your MEG data to a standardised sensory array 2) apply statistics in "signal space" (e.g. using SensorSPM), in order to detect significant contrasts and latency ranges 3) run source analysis using a standardised head model on the grand-averaged MEG data 4) possibly apply the same source analysis on individual subject data, e.g. for statistical analysis in "source space"
Details will follow later.