MNE Analyze

Under Development

MNE Analyze is currently being ported to MNE-CPP and is not yet feature-complete compared to the original MNE-C mne_analyze application.

MNE Analyze is a GUI application for comprehensive sensor- and source-level analysis of pre-recorded MEG/EEG data. It provides tools for data visualization, preprocessing, source localization, and interactive exploration of results. It currently supports the .fif (FIFF) file format.

MNE Analyze offers a completely modular work area, with plugins and viewers that can stack, snap to sides, or act as separate windows.

It also has two user modes, Clinical and Research, and two view styles, Default and Dark. These can be selected from the Appearance menu.

Plugin Architecture

MNE Analyze uses a plugin-based architecture. The following plugins are currently available:

Plugin	Description
Data Loader	Loading FIFF data files
Data Manager	Managing loaded datasets
Raw Data Viewer	Browsing raw time-series data
Annotation Manager	Event marking and annotation
Averaging	Computing evoked responses
Filtering	Data filtering
Channel Selection	Selecting channel subsets
Co-registration	MEG/MRI coordinate alignment
Scaling	Signal amplitude scaling
Dipole Fit	Interactive dipole fitting
Real-time	Connection to real-time data streams

Planned Features

The original MNE-C mne_analyze provided extensive functionality that is planned for future MNE-CPP releases:

• Full 3D visualization of source estimates on cortical surfaces
• Interactive ROI (Region of Interest) definition
• Time-frequency analysis displays
• Connectivity visualization
• Movie generation of source activity
• Surface morphing and group analysis visualization

Plugin Guides

Below are detailed guides for each MNE Analyze plugin.