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| * In all the tutorials, we will consider that you are working with the source distribution of Brainstorm, as it is the recommanded way to use this toolbox. * If you are working with compiled binaries, some menus might be missing, but everything else should work the same way. * Before starting using Brainstorm with your own data, you should go through __all __the tutorials in "Getting started with Brainstorm" section. In just a few hours, they will introduce you to most of the main features of the application. |
* Before starting using Brainstorm with your own data: * You should go through '''__all the tutorials__''' in the following section: "''Getting started with Brainstorm''". In just a few hours, they will introduce you to most of the main features of the application. * Then you can read more specific tutorials, closer to your personal interests. |
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| * Select ''More actions > Print view'', print the page, * Click on the ''Back ''button of your browser, and go to next tutorial. |
* Select ''More actions > Print view'', print the page, and go to the next tutorial. |
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| === Dataset description === The dataset that will be used for tutorials #2 to #10 is a somatotopy experiment realized with a CTF MEG. |
Step by step tutorials |
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| Please download bst_sample_ctf.zip from the [[http://neuroimage.usc.edu/brainstorm3_register/download.php|Download]] section. Unzip it in a folder you will dedicate to original data. It can be any where but __not__ in the Brainstorm database or program folder. Example: * __Windows__: My documents\MEG\sample_ctf\ * __Linux__: /home/username/MEG/sample_ctf/ * __MacOS__: Documents/MEG/sample_ctf/ ||<width="150px" style="vertical-align: top;">File: ||'''bst_sample_ctf.zip''' || ||<style="vertical-align: top;">Acquisition system: ||CTF MEG, 151 axial gradiometers, La Salpetriere Hospital, Paris || ||<style="vertical-align: top;">Protocol: ||Shuffled electrical stimulations of the thumb fingers from both hands. The idea is to get a map of the primary sensory response on the cortex || ||<style="vertical-align: top;">Author: ||Data provided courtesy of Sabine Meunier || ||<style="vertical-align: top;">Anatomy directory: ||- T1-MRI of the subject in CTF format (.mri).<<BR>>- Cortex and head surfaces extracted with BrainVISA software || ||<style="vertical-align: top;">Datasets directory: ||- somMGYO-18av.ds: average response for the stimulation of the right thumb (one subject, 400 trials) .<<BR>>- somMDYO-18av.ds: average response for the stimulation of the left thumb (one subject, 400 trials) || ||<style="vertical-align: top;">Observations: ||Stimulus occurs at time 0. There's a first tiny wave occuring at about 20ms or so but it's not too clear on all fingers. So if you are to compute cortical maps, start by the 40ms peak which is also of interest and which has much better SNR. || === Step by step tutorials === |
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| * [[Tutorials/TutStat|10. Statistics]] * [[Tutorials/TutTimefreq|11. Time-frequency]] |
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| 1. [[CoordinateSystems|Brainstorm coordinates systems]] 1. [[Tutorials/TutRawViewer|Review raw recordings and edit markers]] 1. [[Tutorials/TutMindNeuromag|Import and process Neuromag raw recordings]] 1. [[Tutorials/SegBrainVisa|Extract head and cortex surface with BrainVISA]] 1. [[Tutorials/TutInverseExpertMode|More inverse methods]] 1. [[Tutorials/TutScript|Using Brainstorm without the GUI]] |
Tutorials
Important notes
- Before starting using Brainstorm with your own data:
You should go through all the tutorials in the following section: "Getting started with Brainstorm". In just a few hours, they will introduce you to most of the main features of the application.
- Then you can read more specific tutorials, closer to your personal interests.
- If you want a printed version of this documentation:
- Open a tutorial, go to the menu on top of the page,
Select More actions > Print view, print the page, and go to the next tutorial.
Getting started with Brainstorm
Step by step tutorials
?0. Introduction to Brainstorm structure
?1. First steps
?2. Importing individual anatomy
?3. Importing 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