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);/*1240484690830*/ 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 [javascript:void(0);/*1240484712941*/ script] and more details on the processing options are available [javascript:void(0);/*1240484734110*/ 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 [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