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BrainWave: A Matlab Toolbox for Beamformer Source Analysis of MEG Data.

Cecilia Jobst1, Paul Ferrari2, Silvia Isabella1

  • 1Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.

Frontiers in Neuroscience
|September 7, 2018
PubMed
Summary

BrainWave is a MATLAB toolbox for analyzing magnetoencephalography (MEG) data, simplifying source imaging and time-series analysis. It offers interactive visualization for brain activity, aiding researchers in complex neuroscience studies.

Keywords:
Matlab toolboxbeamforminggroup analysismagnetoencephalographyresponse inhibitionsource analysis

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biomedical Engineering

Background:

  • Magnetoencephalography (MEG) is a powerful tool for studying brain activity.
  • Analyzing complex MEG data requires specialized software for source localization and time-frequency analysis.
  • Existing tools may lack user-friendliness or comprehensive features for advanced analyses.

Purpose of the Study:

  • Introduce BrainWave, an accessible MATLAB toolbox for MEG data analysis.
  • Demonstrate BrainWave's capabilities in source imaging and time-series analysis.
  • Facilitate the visualization and interpretation of evoked and induced brain activity.

Main Methods:

  • Developed a user-friendly graphical interface in MATLAB for MEG data processing.
  • Implemented minimum-variance beamforming and synthetic aperture magnetometry algorithms.
  • Integrated procedures for data pre-processing, MRI co-registration, normalization, and group analysis.

Main Results:

  • BrainWave enables step-by-step analysis from raw data to group source images and time series.
  • The toolbox supports both volumetric and cortical surface-based source imaging.
  • Demonstrated application using a response inhibition task, revealing task-related brain activity modulations and group contrast images.

Conclusions:

  • BrainWave provides a comprehensive and intuitive platform for advanced MEG data analysis.
  • The toolbox facilitates the exploration of brain dynamics, including event-related responses and rhythmic activity.
  • BrainWave is freely available academic software, supporting the neuroscience research community.