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| Brainstorm is a free Matlab application dedicated to Magnetoencephalography(MEG) and Electroencephalography(EEG) data visualization, processing and cortical source estimation. Our intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research. For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge. |
Brainstorm is a collaborative open-source Matlab application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data visualization, processing and cortical source estimation. <<BR>>Our intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.<<BR>>For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge. |
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| * Pre-processing: * Epoching * Averaging * Frequency filtering * Resampling * Noise covariance estimation * Manual definition of bad channels and bad epochs |
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| * Data mapping on the head surface | * Data mapping on flat surfaces or the head envelope |
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| * Channel selection * Frequency filtering |
* Channel selection, and manipulation of clusters of electrodes |
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| * Analysis on individual anatomy or MNI / Colin27 brain. | |
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| * Volume rendering | * Volume rendering (several display modes) * Deformation of the MNI template to fit an set of digitized head points |
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| * Graphic batching tools (apply a same process to many files in a few clicks) | * Graphical batching tools (apply a same process to many files in a few clicks) |
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| * Realistic head models using BEM and FEM | |
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| * dSPM * sLORETA * Source display and analysis: * Surface rendering of the estimated sources * Re-projection of the sources in the MRI volume * Definition of cortical regions of interest (scouts) * Re-projection of estimated sources on a surface with a higher or lower definition |
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| * Documentation and support: * Easy and automatic updates of the software * Detailed step by step tutorials for most of the common features * Active user forum |
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| * 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]]. | * Intensive pre-processing of MEG/EEG recordings (noise cancelling, artifact correction/rejection, etc.):<<BR>> => use your constructor's software, or other software solutions (MNE, EEGLab, !FieldTrip, etc.). [[Links|See here]]. |
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== 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) 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 |
Introduction
Brainstorm is a collaborative open-source Matlab application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data visualization, processing and cortical source estimation.
Our intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.
For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge.
What you can do with Brainstorm
Import MEG / EEG recordings from the most popular file formats (?list here)
- Pre-processing:
- Epoching
- Averaging
- Frequency filtering
- Resampling
- Noise covariance estimation
- Manual definition of bad channels and bad epochs
- Data visualization:
- Various time series displays
- Data mapping on flat surfaces or the head envelope
- Generate slides and animations
- Channel selection, and manipulation of clusters of electrodes
- 3D surface rendering
- MRI visualization and coregistration:
- Analysis on individual anatomy or MNI / Colin27 brain.
Import MRI scans, from most of the existing file formats (?list here)
- Co-registration with the MEG/EEG coordinate system
- Volume rendering (several display modes)
- Deformation of the MNI template to fit an set of digitized head points
- 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
- Graphical batching tools (apply a same process to many files in a few clicks)
- Forward modeling:
- Single sphere method
- Overlapping spheres method
- Inverse modeling:
- Minimum-norm imaging of the cortical current density
- dSPM
- sLORETA
- Source display and analysis:
- Surface rendering of the estimated sources
- Re-projection of the sources in the MRI volume
- Definition of cortical regions of interest (scouts)
- Re-projection of estimated sources on a surface with a higher or lower definition
- Group analysis:
- Registration of individual brains on the MNI "Colin27" brain
- Statistical analysis (t-tests, permutations)
- Documentation and support:
- Easy and automatic updates of the software
- Detailed step by step tutorials for most of the common features
- Active user forum