10740
Comment:
|
13152
|
Deletions are marked like this. | Additions are marked like this. |
Line 1: | Line 1: |
= Tutorials = == How to use those tutorials == 1. Go through all the tutorials in the section ''Getting started with Brainstorm''. In just a few hours, they will introduce you to most of the main features of the application. 1. Then read more specific tutorials, closer to your personal interests. 1. If you want a printed version of a page, click on the "print" link on the top right of the page. == Getting started with Brainstorm == |
= 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 [[mailto:brainstorm@sipi.usc.edu|suggest]] improvements and additions but also to contribute by becoming an editor of this wiki. Please [[mailto:brainstorm@sipi.usc.edu|email us]] if you would like to contribute. == Required background == 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: [[http://www.canada-meg-consortium.org/EN/MegIntro|here]], * Slides from a selection of educational courses at [[http://megcommunity.org/index.php?option=com_content&view=article&id=27&Itemid=13|megcommunity.org]], * Reference books: * 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 * Jean Decety & John T. Cacioppo (Eds) [[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 University Press'', (Sept 2011), 1128 pages, ISBN-10: 019534216X. A draft version of the MEG chapter by Sylvain Baillet can be found [[attachment:BailletMEGDraft.pdf|here]]. * You can also ask us to come and organize a [[Training|training session]] at your institution, or [[http://www.bic.mni.mcgill.ca/ResearchLabsNeuroSPEED/HomePage|visit us]] to obtain training (!McGill's Montreal Neurological Institute). Now you are well equipped to go through the software tutorial, '' Enjoy! '' == Get started: 12 easy steps through Brainstorm == The easiest way to get started with Brainstorm is to follow carefully those 12 introduction tutorials. In just a few hours, you will be introduced to the essential features of the application. If you need a printed version of a page, click on the "print" link at the top-right corner of the page. |
Line 22: | Line 44: |
=== Continuous Neuromag recordings === | === Exploring Continuous Recordings === |
Line 29: | Line 51: |
Line 30: | Line 53: |
1. [[Tutorials/Tutorials/LabelFreeSurfer|FreeSurfer cortical parcellation]] |
|
Line 32: | Line 58: |
=== Source estimation === 1. [[Tutorials/TutBem|BEM head model]] 1. [[Tutorials/TutVolSource|Volume source estimation]] 1. [[Tutorials/TutXfit|Import and visualize dipoles from Neuromag Xfit]] |
=== Source modeling === 1. [[Tutorials/TutBem|Boundary Element Modeling (BEM)]] 1. [[Tutorials/TutVolSource|Source estimation not constrained to cortical surface]] 1. [[Tutorials/TutXfit|Import and visualize dipole models from another software (Neuromag's Xfit]]) 1. [[Tutorials/TutMem|BrainEntropy MEM (Maximum Entropy on the Mean)]] |
Line 39: | Line 69: |
Line 40: | Line 71: |
Line 41: | Line 73: |
Line 43: | Line 76: |
== Getting started (details) == | == Get started (details) == |
Line 46: | Line 79: |
Line 47: | Line 81: |
Line 61: | Line 96: |
Line 63: | Line 99: |
Line 64: | Line 101: |
Line 65: | Line 103: |
Line 66: | Line 105: |
Line 67: | Line 107: |
Line 68: | Line 109: |
Line 69: | Line 111: |
Line 71: | Line 114: |
Line 72: | Line 116: |
Line 73: | Line 118: |
Line 74: | Line 120: |
Line 76: | Line 123: |
Line 77: | Line 125: |
Line 78: | Line 127: |
Line 79: | Line 129: |
Line 80: | Line 131: |
Line 81: | Line 133: |
Line 82: | Line 135: |
Line 83: | Line 137: |
Line 84: | Line 139: |
Line 85: | Line 141: |
Line 86: | Line 143: |
Line 88: | Line 146: |
Line 89: | Line 148: |
Line 90: | Line 150: |
Line 91: | Line 152: |
Line 92: | Line 154: |
Line 94: | Line 157: |
Line 95: | Line 159: |
Line 97: | Line 162: |
Line 98: | Line 164: |
Line 99: | Line 166: |
Line 100: | Line 168: |
Line 101: | Line 170: |
Line 103: | Line 173: |
Line 104: | Line 175: |
Line 105: | Line 177: |
Line 106: | Line 179: |
Line 107: | Line 181: |
Line 108: | Line 183: |
Line 110: | Line 186: |
Line 111: | Line 188: |
Line 112: | Line 190: |
Line 114: | Line 193: |
Line 115: | Line 195: |
Line 116: | Line 197: |
Line 118: | Line 200: |
Line 119: | Line 202: |
Line 120: | Line 204: |
Line 121: | Line 206: |
Line 122: | Line 208: |
Line 123: | Line 210: |
Line 124: | Line 212: |
Line 125: | Line 214: |
Line 126: | Line 216: |
Line 127: | Line 218: |
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 an editor of this wiki. Please email us if you would like to contribute.
Required background
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: 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
Jean Decety & John T. Cacioppo (Eds)
- Peter Hansen, Morten Kringelbach, and Riitta Salmelin (Eds)
The Oxford Handbook of Social Neuroscience, Oxford University Press, (Sept 2011), 1128 pages, ISBN-10: 019534216X. A draft version of the MEG chapter by Sylvain Baillet can be found here.
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!
Get started: 12 easy steps through Brainstorm
The easiest way to get started with Brainstorm is to follow carefully those 12 introduction tutorials. In just a few hours, you will be introduced to the essential features of the application.
If you need a printed version of a page, click on the "print" link at the top-right corner of the page.
?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
Exploring Continuous Recordings
?Review raw recordings and edit markers
Anatomy and registration
?FreeSurfer cortical parcellation
Source modeling
?Import and visualize dipole models from another software (Neuromag's Xfit)
?BrainEntropy MEM (Maximum Entropy on the Mean)
Other useful how-to's
Get 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