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The following pages will take you through a typical workflow of data analyses that will feature most of the tools and applications of Brainstorm. We are updating these pages constantly, keeping up with new developments and features in the software: you are therefore welcome to [[mailto:brainstorm@sipi.usc.edu|suggest]] improvements and additions but also to contribute by becoming a editor of this wiki. Please [[mailto:brainstorm@sipi.usc.edu|email us]] if you would like to contribute. |
Tutorials
The following pages will take you through a typical workflow of data analyses that will feature most of the tools and applications of Brainstorm. We are updating these pages constantly, keeping up with new developments and features in the software: you are therefore welcome to suggest improvements and additions but also to contribute by becoming a editor of this wiki. Please email us if you would like to contribute.
How to use the tutorial pages
Go through the 12 steps of Getting started with Brainstorm (see below). In just a few hours, you will be introduced to the essential features of the application.
Read more specific tutorials (see Advanced Tutorials below), related to your personal interests/needs.
- If you need a printed version of a page, click on the "print" link at the top-right corner of the page.
Getting started with Brainstorm
?0. Brainstorm architecture
?1. First steps
?2. Importing individual anatomy
?3. Importing MEG recordings
?4. Exploring the recordings
?5. Computing a head model
?6. Computing a noise covariance matrix
?7. Source estimation
?8. Scouts: Cortical regions of interest
?9. Processes: Graphical batching interface
?10. Statistics
?11. Time-frequency
Advanced tutorials
Continuous Neuromag recordings
?Review raw recordings and edit markers
Anatomy and registration
Source estimation
Other useful how-to's
Getting started (details)
?0. Brainstorm architecture
?1. First steps
?2. Importing individual anatomy
?3. Importing MEG recordings
?4. Exploring the recordings
?5. Computing a head model
?6. Computing a noise covariance matrix
?7. Source estimation
?8. Scouts: Cortical regions of interest
?9. Processes: Graphical batching interface
?10. Statistics
?11. Time-frequency