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| Brainstorm is a free 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. | 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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| * Detection of bad trials / bad channels * Baseline correction * Frequency filtering * Resampling |
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* Frequency filtering * Resampling |
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| * Manual definition of bad channels and bad epochs * Data visualization: |
* Recordings visualization: |
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| * Data mapping on flat surfaces or the head envelope | * Data mapping on 2D or 3D surfaces |
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| * 3D surface rendering | |
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| * Analysis on individual anatomy or MNI / Colin27 brain. * Import MRI scans, from most of the existing file formats ([[FileFormats|list here]]) |
* Analysis on individual anatomy or MNI / Colin27 brain * Import MRI and meshes from most of the existing file formats ([[FileFormats|list here]]) |
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| * Single sphere method * Overlapping spheres method |
* MEG: Single sphere, overlapping spheres * EEG: Three layer-sphere, with Berg correction * Interactive interface to define the best fitting sphere |
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| * Minimum-norm imaging of the cortical current density | * L2 Minimum-norm current estimates |
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| * All methods can be cortically constrained or not, and with constrained orientations or not | |
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| * Surface rendering of the estimated sources * Reprojection of the sources in the MRI volume |
* Surface and volume rendering of the estimated sources * Re-projection of the sources in the MRI volume |
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* Reprojection of estimated sources on a surface with a higher or lower definition |
* Re-projection of estimated sources on a surface with a higher or lower definition * Spatial smoothing before group analysis * Easy screen captures, creation of movies and contact sheets * Import and display of xfit dipoles * Time-frequency analysis: * Time-frequency decomposition of recordings and sources time series using Morlet wavelets * Time and frequency scales: linear or bands * Many display modes available |
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| * 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]]. | * 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]]. |
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
- Detection of bad trials / bad channels
- Baseline correction
- Frequency filtering
- Resampling
- Averaging
- Noise covariance estimation
- Recordings visualization:
- Various time series displays
- Data mapping on 2D or 3D surfaces
- Generate slides and animations
- Channel selection, and manipulation of clusters of electrodes
- MRI visualization and coregistration:
- Analysis on individual anatomy or MNI / Colin27 brain
Import MRI and meshes 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:
- MEG: Single sphere, overlapping spheres
- EEG: Three layer-sphere, with Berg correction
- Interactive interface to define the best fitting sphere
- Inverse modeling:
- L2 Minimum-norm current estimates
- dSPM
- sLORETA
- All methods can be cortically constrained or not, and with constrained orientations or not
- Source display and analysis:
- Surface and volume 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
- Spatial smoothing before group analysis
- Easy screen captures, creation of movies and contact sheets
- Import and display of xfit dipoles
- Time-frequency analysis:
- Time-frequency decomposition of recordings and sources time series using Morlet wavelets
- Time and frequency scales: linear or bands
- Many display modes available
- 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