|
Size: 2353
Comment:
|
Size: 2692
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 15: | Line 15: |
| Line 27: | Line 26: |
| Line 32: | Line 30: |
| * Inverse modeling: * Minimum-norm imaging of the cortical current density |
|
| Line 38: | Line 38: |
| * Pre-processing of the MEG/EEG recordings:<<BR>> => use your constructor's software, or other software solutions (MNE, EEGLab, etc.). [[Links|See here]]. | * Intensive pre-processing of MEG/EEG recordings (noise, artifact correction/rejection, re-averaging, etc.):<<BR>> => use your constructor's software, or other software solutions (MNE, EEGLab, etc.). [[Links|See here]]. |
| Line 49: | Line 49: |
| * Minimum Java VM version: 1.5 (To check that: type "ver" at Matlab command prompt) * Signal Processing Toolbox is required for two features: * Frequency filtering * Recordings resampling |
Introduction
BrainStorm is an integrated free Matlab toolbox dedicated to Magnetoencephalography(MEG) and Electroencephalography(EEG) data visualization and processing. Our intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.
What you can do with BrainStorm
Import MEG / EEG recordings from the most popular file formats (?list here)
- Data visualization:
- Various time series displays
- Data mapping on the head surface
- Generate slides and animations
- Channel selection
- Data filtering
- 3D surface rendering
- MRI visualization and coregistration:
Import MRI scans, from most of the existing file formats (?list here)
- Co-registration with the MEG/EEG coordinate system
- Volume rendering
- Database:
- Classification of recordings with three levels of definition (protocol, subject, condition/event)
- Quick access to all the data in a study
- Quick comparison between subjects or conditions
- Graphic batching tools (apply a same process to many files in a few clicks)
- Forward modeling:
- Single sphere method
- Overlapping spheres method
- Realistic head models using BEM and FEM
- Inverse modeling:
- Minimum-norm imaging of the cortical current density
- Group analysis:
- Registration of individual brains on the MNI "Colin27" brain
- Statistical analysis (t-tests, permutations)
What you cannot do with BrainStorm
Intensive pre-processing of MEG/EEG recordings (noise, artifact correction/rejection, re-averaging, etc.):
=> use your constructor's software, or other software solutions (MNE, EEGLab, etc.). ?See here.MRI segmentation:
=> use FreeSurfer, BrainSuite or BrainVisa. ?See here.
Requirements
BrainStorm is written in Matlab code only, thus it can run on any operating system supported by Matlab (including Windows, Linux, MacOS...).
If you have a Matlab licence:
You can download and run directly the BrainStorm source scripts,
- Minimum Matlab version: 7.1 (= R14-SP3)
- Minimum Java VM version: 1.5 (To check that: type "ver" at Matlab command prompt)
- Signal Processing Toolbox is required for two features:
- Frequency filtering
- Recordings resampling
If you do not have a Matlab licence:
You can download the BrainStorm binaries corresponding to your operating system.
- The executables are build using the Matlab Compiler (mcc)
- They will install automatically the Matlab Component Runtime (MCR) on your computer, a freely redistributable library