MegMasterClass - Meg Wiki

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MEG MasterClass

The MEG Master Class tutorial series combines theoretical discussions with practical sessions on many aspects of MEG data analysis using SPM. Working from the [javascript:void(0);/*1240485543728*/ SPM example pathway ]each processing step is split into a small two hour practical. See links below for individual session notes and worksheets.

Please note that these sessions do not cover max filtering of the data set - this can be done as shown at the start of the SPM example pathway script and more details on the processing options are available here.

Session 1. Pre-processing

  • Importing raw FIF data Into Matlab.
  • Spliting in Mags, Grads and EEG data sets.
  • Reading the Trigger line and extracting the triggers and response codes (also see here).
  • Epoching.
  • Resynching to a new starting point.
  • Filtering.
  • Artefact rejection.
  • Contrasts.
  • Grand averaging.
  • Inspecting the results - topographies, line plots, meg_viewdata.

Session 2. 3D Sensor SPM's

3D sensor SPMs can be used for a sensor level analysis and as a guide to establish critical time windows to analyse further.

  • Generating the files.
  • Computing the anova.
  • Interpreting the results.

Session 3. Catch up session - THEORETICAL

  • When to take the RMS.
  • How are bad channels dealt with.
  • Things to be careful about when you have very uneven trial numbers across conditions (e.g. in an MMN expt).

Session 4. Using ICA for artefact rejection

  • How and why to use ICA.
  • Implementing ICA to extract eye blinks, eye movements and cardiac signals.

Session 5. Source reconstuction - THEORETICAL

  • Forward model, choice of inverse solution and associated parameters.