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| * 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 === |
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);/*1240483827788*/ 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 [javascript:void(0);/*1240484225540*/ SPM example pathway] script and more details on the processing options are available [javascript:void(0);/*1240484257532*/ 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.