Tutorials

These tutorial pages suppose you are comfortable with the basic concepts of MEG/EEG analysis and source imaging. If you're not, we encourage you to read some background litterature.

Get started

The easiest way to get started with Brainstorm is to read and follow carefully those introduction tutorials. In just a few hours, you will be introduced to the essential features of the application.

1. Create a new protocol

2. ?Import the subject anatomy

3. Display the anatomy

Advanced tutorials

Complete analysis of other datasets

1. EEG and epilepsy

2. MEG auditory tutorial (CTF)

3. MEG median nerve (Yokogawa/KIT)

4. MEG median nerve (Elekta-Neuromag)

5. MEG resting state (CTF)

6. Rat electrophysiology [Under construction]

Anatomy and registration

1. Brainstorm coordinate systems

2. MRI segmentation: FreeSurfer, BrainVISA, BrainSuite, CIVET

3. Warping default anatomy

4. Group studies: Subjects coregistration

5. Digitize EEG electrodes and head shape

6. Real-time head positioning in the CTF MEG system

Graphical scripting

1. Selecting files in the database

2. Full analysis with one script

3. How to write your own process

Source modeling

1. BEM with OpenMEEG

2. Volume source estimation

3. Computing and displaying dipoles

4. Beamforming methods [Under construction]

5. Maximum Entropy on the Mean (MEM) [Under construction]

Functional connectivity

1. Phase-amplitude coupling

Statistics

1. Export volume source maps to SPM8 / SPM12

2. Export surface source maps to SPM12

Other useful how-to's

1. How to cite Brainstorm in your publications

2. Known bugs

3. ?MEG analysis guidelines for McGill

Examples

1. This video illustrates how Brainstorm can be used for studying amygdala activity:
   How to Detect Amygdala Activity with Magnetoencephalography using Source Imaging
   Authors: Balderston NL, Schultz DH, Baillet S, Helmstetter FJ

Background readings

These tutorial pages suppose you are comfortable with the basic concepts of MEG and EEG source imaging. If you're not, we engage you to read some background information, which will quickly help you getting up to speed with this field:

• A non-technical overview of MEG and EEG, with an emphasis on source modeling:
  Canada MEG Consortium

• Slides from a selection of educational courses:
  megcommunity.org

• Reference books:

  • MEG: An Introduction to Methods
    Editors: P Hansen, M Kringelbach, R Salmelin, Oxford University Press, 2010, 448 pages

  • The Oxford Handbook of Social Neuroscience
    Editors: J Decety, JT Cacioppo, Oxford University Press, 2011, 1128 pages
    A draft version of the MEG chapter by Sylvain Baillet can be found here.

• Good practice for conducting and reporting MEG research, Gross et al, Neuroimage, 2013

• You can also ask us to come and organize a training session at your institution, or visit us to obtain training (McGill's Montreal Neurological Institute).

Now you are well equipped to go through the software tutorial, Enjoy!