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 literature.
To get a quick overview of the software interface, you can watch this introduction video.
If you are looking for the old tutorials, they are still available here.
The easiest way to get started with Brainstorm is to read and follow carefully these introduction tutorials. The number between brackets represents the number of printed pages for each tutorial. All in one page.
Some sections are still being edited or under review: Editing process.
Starting a new study
1. Create a new protocol 
2. Import the subject anatomy 
3. Explore the anatomy 
4. Channel file / MRI registration 
5. Continuous recordings 
6. Multiple windows 
7. Event markers 
8. Stimulation delays 
9. Select files / Run processes 
10. Power spectrum / Frequency filters 
11. Bad channels 
12. Artifact detection 
13. Artifact cleaning with SSP 
14. Additional bad segments 
Epoching and averaging
15. Import epochs 
16. Average response 
17. Visual exploration 
18. Colormaps 
19. Clusters of sensors 
20. Head model 
21. Noise/data covariance 
22. Source estimation  [TODO]
23. Scouts 
24. Time-frequency 
25. Difference 
26. Statistics 
27. Workflows 
28. Scripting 
Other analysis scenarios
Anatomy and registration
Basic electrophysiology tutorial (single & multiunit activity):
Starting a new study
Converting Raw data to LFP
Converting to Brainstorm events
These tutorial pages suppose you are comfortable with the basic concepts of MEG and EEG source imaging. If you're not, we encourage you to read some background information, which will quickly help you getting up to speed with this field:
Introduction to MEG (Medical College of Wisconsin)
A non-technical overview of MEG and EEG, with an emphasis on source modeling.
MEG: An Introduction to Methods
Editors: P Hansen, M Kringelbach, R Salmelin, Oxford University Press, 2010, 448 pages.
Good practice for conducting and reporting MEG research, Gross et al, Neuroimage, 2013.
Slides from a selection of educational courses: megcommunity.org
Now you are well equipped to go through the software tutorial, Enjoy!