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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 – main window

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

MNE Analyze – modular layout

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:

PluginDescription
Data LoaderLoading FIFF data files
Data ManagerManaging loaded datasets
Raw Data ViewerBrowsing raw time-series data
Annotation ManagerEvent marking and annotation
AveragingComputing evoked responses
FilteringData filtering
Channel SelectionSelecting channel subsets
Co-registrationMEG/MRI coordinate alignment
ScalingSignal amplitude scaling
Dipole FitInteractive dipole fitting
Real-timeConnection to real-time data streams

Roadmap​

The following features are planned for future MNE-CPP releases:

  • Time-frequency analysis displays
  • Interactive ROI (Region of Interest) definition
  • Connectivity visualization
  • Movie generation of source activity
  • Surface morphing and group analysis visualization
tip

For an agent-oriented workflow with LLM-driven automation, see MNE Analyze Studio.

Plugin Guides​

Below are detailed guides for each MNE Analyze plugin.

Online (Experimental)​

An experimental WebAssembly build of MNE Analyze is available. It runs entirely locally inside the browser — no installation needed, no data uploaded. Learn more about data privacy.

See Also​