MegMasterClass - Meg Wiki

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MEG MasterClass


  • /!\ Edit conflict - other version:


  • The MEG Master Class tutorial series combines theoretical discussions with practical sessions on many aspects of MEG data analysis using SPM. Working from the 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.


  • /!\ Edit conflict - your version:


  • The MEG Master Class tutorial series combines theoretical discussions with practical sessions on many aspects of MEG data analysis using SPM. Working from the SPMDemo 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 and more details on the processing options are available here.


  • /!\ End of edit conflict


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 [javascript:void(0);/*1240484449057*/ 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