Tutorial

The purpose of this tutorial is to provide a fast and painless introduction to BrainStorm. Within a few minutes you should be able to: understand the database structure of BrainStorm import your MEG, EEG and MRI data import and visualize tessellated surfaces (brain, skull, and scalp) explore your data define head models use source estimation methods and visualize the results in space and time. We have included movies and screen shots where appropriate. Please also remember that the forum is a reactive source of assistance. We strongly recommend that you follow the steps within this tutorial if you have never used BrainStorm before! By the way, my name is Dr Storm.

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Test-run Dataset

Throughout this tutorial, you will be using data collected from an MEG somatosensory study, where electric pulses are applied to the right thumb of a subject. Typically, we expect a response in the contralateral, i.e. left, somatosensory cortex within the first 40ms after stimulus is delivered; you should download the data first and then follow the tutorial steps while sitting comfortably:

Download MEG tutorial data now ! (approx. 27MB)

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Some Remarks

	To watch the short movies (), you need Windows Media Player 7.1 or higher. You can download the latest version here. Also, make sure you play the videos in their native resolution (1024x768); if the videos are not sharp, you should adjust your movie player.
	You may experience warning messages on Matlab command prompt when using BrainStorm. However, don't be alarmed, it is mostly messages about the Graphical User Interface (GUI), that do not compromise the efficiency of data processing. Please remember to report any bug in the forum, and remember: you can fix them by yourself and forward the fixes through the forum as well!

Contents

Getting started with your data in BrainStorm
Start BrainStorm
Define databases
Import MEG/EEG data (native format)
Import MEG/EEG data (raw format)
Import MRI volume data
Import tessellated envelopes + co-registration with scalp data
MEG/EEG data visualization
Visualization (basics)
The forward problem - head modeling
Head modeling (basics)
Head modeling (advanced, BEM)
The inverse problem - source estimation
RAP-MUSIC source estimation
Source imaging
Using beamformers
Advanced material
Group analysis: Coregistration of MEG data to single helmet (NEW)
Group analysis: MRI spatial normalization
Group analysis: statistics (basics)
Use generic anatomy when individual data is missing
Simulate MEG/EEG & MRI data

( means there is an animation for the corresponding step)

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For pdf version of the tutorial click here. But we strongly recommend you to go through the links given above, as short movie files are present for some of the tutorials and these links are updated more regularly than the paper version of the document.