News

• Latest software updates :
  http://neuroimage.usc.edu/brainstorm/News

• Join the Brainstorm community now :
  facebook.com/BrainstormSoftware

• Survey results from last training workshop (Paris, August 31, 2012):
  See how participants (dis)liked it;)

About Brainstorm

Brainstorm is a collaborative, open-source application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data analysis (visualization, processing and advanced source modeling).

Our objective is to share a comprehensive set of user-friendly tools with the scientific community using MEG/EEG as an experimental technique. For physicians and researchers, the main advantage of Brainstorm is its rich and intuitive graphic interface, which does not require any programming knowledge. We are also putting the emphasis on practical aspects of data analysis (e.g., with scripting for batch analysis and intuitive design of analysis pipelines) to promote reproducibility and productivity in MEG/EEG research. Finally, although Brainstorm is developed with Matlab (and Java), it does not require users to own a Matlab license: an executable, platform-independent (Windows, MacOS, Linux) version is made available in the downloadable package.

Since the project started by the end of the 1990's, our server has registered more than 7,000 accounts and about 500 users are actively updating the software. See our reference page for a list of published studies featuring Brainstorm at work!

The best way to learn how to use Brainstorm, like any other academic software, is to benefit from local experts. However, you may be the first one in your institution to consider using Brainstorm for your research. We are happy to provide comprehensive online documentation and support throughour forum but there is nothing better than a course to make your learning curve steeper. Consult our training pages for upcoming opportunities to learn better and faster!

Finally, have a look regularly at our What's New pages for staying on top of Brainstorm news and updates and 'Like Us' on Facebook to stay in touch.

We hope you enjoy using Brainstorm as much as we enjoy developing and sharing these tools with the community!

Support

This software was generated primarily with support from the National Institutes of Health under grants R01-EB002010, R01-EB009048, and R01-EB000473.

Primary support was provided by the Centre National de la Recherche Scientifique (CNRS, France) for the Cognitive Neuroscience & Brain Imaging Laboratory (La Salpetriere Hospital and Pierre & Marie Curie University, Paris, France), and by the Montreal Neurological Institute to the MEG Program at McGill University.

Additional support was also from two grants from the French National Research Agency (ANR) to the Cognitive Neuroscience Unit (PI: Ghislaine Dehaene; Inserm/CEA, Neurospin, France) and to the ViMAGINE project (PI: Sylvain Baillet; ANR-08-BLAN-0250), and by the Epilepsy Center in the Cleveland Clinic Neurological Institute.

How to cite Brainstorm

Please cite the following reference in your publications if you have used our software for your data analyses: How to cite Brainstorm. It is also good offline reading to get an overview of the main features of the application.

Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM (2011), Brainstorm: A User-Friendly Application for MEG/EEG Analysis, Computational Intelligence and Neuroscience, vol. 2011, Article ID 879716, 13 pages. doi:10.1155/2011/879716 [ html, pdf ]

What you can do with Brainstorm

• MEG/EEG recordings:

  • Read data from the most popular file formats (listed here)

  • Interactive access to data files in native formats
  • Import data in Matlab
  • Import and order data in a well-organized database (by studies, subjects, conditions)
  • Review, edit, import, export event markers in continuous, ongoing recordings
  • Automatic detection of well-defined artifacts (eye blinks, heartbeats...)
  • Artifact correction using Signal Space Projections (SSP)

• Pre-processing:

  • Epoching
  • Detection of bad trials / bad channels
  • Baseline correction
  • Frequency filtering
  • Resampling
  • Multiple options for epoch averaging
  • Estimation of noise statistics for improved source modeling

• Powerful and versatile visualization:

  • Various time series displays (epoched, continuous raw, butterfly, columns, etc.)
  • Data mapping on 2D or 3D surfaces (disks, true geometry of sensor array, scalp surface, etc.)
  • Generate slides and animations (export as contact sheets, movies, jpegs, ...)
  • Channel selection and sensor clustering (save and organize your favorites, share with your collaborators, etc.)

• MRI visualization and coregistration:

  • Use individual or template anatomy (MNI / Colin27 brain)
  • Template anatomy can be warped to individual head surface

  • Import MRI volumes and tessellated surface envelopes from most of the existing file formats (listed here)

  • Automatic or interactive co-registration with the MEG/EEG coordinate system
  • Volume rendering (multiple display modes)

• Database: Keep your data organized

  • Ordering of data, source models, time-frequency maps, statistical maps, etc. by protocol, subject and condition/event
  • Quick access to all the data in a study for efficient, batch processing
  • Quick access to comparisons between subjects or conditions
  • Graphical batching tools (apply the same process to many files e.g., your entire study, in a few clicks)

• Head modeling:

  • MEG: Single sphere, overlapping spheres
  • EEG: Berg's three-layer sphere, Boundary Element Models (with OpenMEEG)
  • Interactive interface to define the best-fitting sphere

• Source modeling:

  • L2 Minimum-norm current estimates
  • dSPM
  • sLORETA
  • All models can be cortically-constrained or not, and with/without constrained orientations

• Source display and analysis:

  • Multiple options for surface and volume rendering of the source maps
  • Re-projection of the sources in the MRI volume (from surface points to voxels)
  • Definition of regions of interest (scouts)
  • Re-projection of estimated sources on a surface with higher or lower resolution, on a group template
  • Surface or volume spatial smoothing (group analysis)
  • Share your results: screen captures, make movies and contact sheets!
  • Import and display of Xfit (MEG Elekta software) dipole models

• Time-frequency decompositions:

  • Time-frequency analyses of sensor data and sources time series using Morlet wavelet, Fast Fourier Transfor, and Hilbert transform
  • Define time and frequency scales of interest
  • Multiple display modes available

• Group analysis:

  • Registration of individual brains to a brain template (MNI/Colin27)
  • Statistical analysis (t-tests)

• Documentation and support:

  • Easy and automatic updates of the software

  • Detailed step-by-step tutorials for most common features

  • Active user forum

What you cannot do with Brainstorm (yet)

• MRI segmentation: Use FreeSurfer, BrainSuite or BrainVisa. ?See here.

• Advanced statistics: Use R, Statistica, SPSS, Matlab, Excel, etc.

Supported file formats

EEG:

• ANT EEProbe continuous (.cnt)
• BDF / BDF+ (Biosemi 24bit binary)
• BESA exports (.avr, .mul)

• BrainVision BrainAmp (.eeg)

• BrainVision Analyzer (.txt)

• Cartool binary files (.ep, .eph)
• EDF / EDF+ (European Data Format)
• EEGLab sets (.set)

• EGI NetStation epoch-marked file (.raw/.epoc)

• MANSCAN Microamp (.mbi/.mb2)
• Neuroscan (.cnt, .eeg, .avg, .dat)
• Any type of ASCII (text) files

MEG:

• CTF (.ds folders)
• Neuromag FIFF (.fif)
• BTi / 4D Neuroimaging
• LENA format

Sensors locations:

• Cartool (.xyz, .els)
• BESA (.sfp, .elp, .eps/.ela)
• Polhemus Isotrak (.pos, .elp)
• Curry (.res, .rs3)
• EEGLab (.ced, .xyz, .set)
• EETrak (.elc)
• EGI (.sfp)
• EMSE (.elp)
• Neuroscan (.dat, .tri, .asc)
• ASCII arrays

MRI volumes:

• Nifti-1 (.nii, .nii.gz)
• Analyze (.img/.hdr)
• BrainVISA GIS (.ima/.dim)
• CTF (.mri)
• MGH (.mgh, .mgz)
• Neuromag (.fif)

Surface meshes:

• BrainVISA (.mesh)

• BrainSuite (.dsgl, .dfs)

• FreeSurfer

• FSL: VTK (.vtk)
• FSL: Geomview (.off)
• ASCII (.tri)
• Neuromag (.fif)

Noise statistics (sensor covariance arrays):

• Neuromag / MNE (.fif)
• ASCII arrays

Dipole models:

• Elekta Neuromag XFit (.bdip)