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* Peter Hansen, Morten Kringelbach, and Riitta Salmelin (Eds) [[http://www.amazon.com/MEG-Introduction-Methods-Peter-Hansen/dp/0195307232/ref=sr_1_1?ie=UTF8&qid=1324419425&sr=8-1|MEG: An Introduction to Methods]], ''Oxford University Press''; (29 July 2010); 448 pages; ISBN-13: 978-0195307238 * The following book features an extensive introduction to MEG: * [[http://www.amazon.com/Oxford-Handbook-Neuroscience-Library-Psychology/dp/019534216X/ref=sr_1_3?s=books&ie=UTF8&qid=1324419480&sr=1-3|The Oxford Handbook of Social Neuroscience]]'' (Oxford Library of Psychology), Oxford University Press'', (Sept 2011) Jean Decety & John T. Cacioppo (Eds), ISBN-10: 019534216X, 1128 pages. * A draft version of the chapter can be found [[attachment:BailletMEGDraft.pdf|here]]. |
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. * Peter Hansen, Morten Kringelbach, and Riitta Salmelin (Eds) [[http://www.amazon.com/MEG-Introduction-Methods-Peter-Hansen/dp/0195307232/ref=sr_1_1?ie=UTF8&qid=1324419425&sr=8-1|MEG: An Introduction to Methods]] Oxford University Press; (29 July 2010); 448 pages; ISBN-13: 978-0195307238 * The following book features an extensive introduction to MEG: . * [[http://www.amazon.com/Oxford-Handbook-Neuroscience-Library-Psychology/dp/019534216X/ref=sr_1_3?s=books&ie=UTF8&qid=1324419480&sr=1-3|The Oxford Handbook of Social Neuroscience]] (Oxford Library of Psychology), (Sept 2011) Jean Decety (Editor), John T. Cacioppo (Editor), ISBN-10: 019534216X, 1128 pages.* A draft version of the chapter can be found [[attachment:Baillet_MEG Draft.pdf|here]]. * A draft version of the chapter can be found [[attachment:Baillet_MEG Draft.pdf|here]]. Now you are well equipped to go through the software tutorial. Enjoy! |
Now you are well equipped to go through the software tutorial.'' '''''''Enjoy! ''''' |
Brainstorm 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.
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 and imaging: here,
Slides from a selection of educational courses at megcommunity.org,
- Reference books:
- Peter Hansen, Morten Kringelbach, and Riitta Salmelin (Eds)
MEG: An Introduction to Methods, Oxford University Press; (29 July 2010); 448 pages; ISBN-13: 978-0195307238
- The following book features an extensive introduction to MEG:
The Oxford Handbook of Social Neuroscience (Oxford Library of Psychology), Oxford University Press, (Sept 2011) Jean Decety & John T. Cacioppo (Eds), ISBN-10: 019534216X, 1128 pages.
A draft version of the chapter can be found here.
- Peter Hansen, Morten Kringelbach, and Riitta Salmelin (Eds)
Now you are well equipped to go through the software tutorial. 'Enjoy!
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.
?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
?Review raw recordings and edit markers
?Import and visualize dipole models from another software (Neuromag's Xfit) ?BrainEntropy MEM (Maximum Entropy on the Mean)
?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 Tutorial Guidelines
12 easy steps through Brainstorm
Advanced tutorials
Exploring Continuous Recordings
Anatomy and registration
Source modeling
Other useful how-to's
Getting started (details)