MLE-Toolbox: Open-Source MATLAB Toolbox for EEG and MEG Data Analysis Released
A new open-source MATLAB tool called MLE-Toolbox has just been released for analyzing magnetoencephalography (MEG) and electroencephalography (EEG) data. It boasts a user-friendly graphical interface that streamlines everything from importing raw data to preprocessing, source localization, and even machine learning classification. Inspired by popular neuroimaging tools like Brainstorm and FieldTrip, it features automated artifact rejection methods such as independent component analysis (ICA) and signal-space projection (SSP). Users can also take advantage of various source localization techniques like minimum norm estimation (MNE) and beamforming. Plus, it offers multi-atlas parcellation and spectral power analysis, making life easier for EEG and MEG researchers.
Key facts
- MLE-Toolbox is an open-source MATLAB toolbox for EEG and MEG data analysis
- It provides end-to-end analysis within a unified graphical interface
- The toolbox covers preprocessing, source localization, functional connectivity, oscillatory analysis, and machine learning classification
- Automated artifact rejection methods include ICA, SSP, and SSS
- Source localization approaches include MNE, dSPM, sLORETA, and beamforming
- It features multi-atlas parcellation with anatomical visualization
- Inspired by neuroimaging platforms Brainstorm and FieldTrip
- Designed to be comprehensive and user-friendly for researchers
Entities
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