The objective of this page is to propose a tutorial for complete analysis of MEG data using the open-source software Brainstorm. This tutorial is built in the form of pipelines arranged in a chronological order for performing, step by step, pre- and post-processing.
1. Requisites
2. Import individual anatomical data
3. Preparing MEG data
4. Import MEG recordings
5. Looking for bad Channels on Each Raw Run
6. Detection of eye blinks and heartbeats (and removing)
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1. Filtering low-pass 40 Hz
2. Epoching
3. Removing bad trials semi-automatically
4. Coregister MEG runs
5. Averaging
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1. Select internal structures
2. Create a new surface that combines cortex and internal surfaces
3. Create a source model customised
4. Compute head model
5. Compute noise covariance
6. Compute sources
7. Z-Score normalisation
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posted by Valérie Chanoine on 2015/04/15