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MEG/EEG Group Analysis With Brainstorm.

François Tadel1,2,3, Elizabeth Bock1, Guiomar Niso1,4,5

  • 1McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.

Frontiers in Neuroscience
|February 27, 2019
PubMed
Summary
This summary is machine-generated.

Brainstorm is a free, open-source software for analyzing electrophysiology data, including Magnetoencephalography (MEG) and Electroencephalography (EEG). It offers a user-friendly interface and scripting capabilities for neuroscience research.

Keywords:
brain imaging data structure (BIDS)electroencephalography (EEG)good practicegroup analysismagnetoencephalography (MEG)open dataopen sourcereproducibility

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Electrophysiology data analysis requires specialized software.
  • Multimodal data integration (MEG, EEG, fNIRS, MRI) is crucial for comprehensive brain research.
  • Accessibility for users without extensive coding knowledge is a significant barrier.

Purpose of the Study:

  • Introduce Brainstorm, a free, open-source application for electrophysiology data analysis and source imaging.
  • Highlight its capabilities for both interactive use and scripted batch processing.
  • Demonstrate its utility through a complete analysis of a MEG vision study.

Main Methods:

  • Utilized Brainstorm software for multimodal electrophysiology data analytics.
  • Performed source imaging using Magnetoencephalography (MEG) data.
  • Integrated functional near-infrared spectroscopy (fNIRS) and Magnetic Resonance Imaging (MRI) data.
  • Employed both graphical user interface and scripting functionalities for data processing.

Main Results:

  • Successfully analyzed group data from 16 participants in a MEG vision study.
  • Demonstrated the software's capacity for complex data analysis and source localization.
  • Validated the effectiveness of Brainstorm's interactive and scripted features.

Conclusions:

  • Brainstorm provides a powerful, accessible, and versatile platform for neuroscience research.
  • The software facilitates reproducible and shareable analysis of large electrophysiology datasets.
  • It empowers a wider range of users, including those with limited scripting experience, in brain data analytics.