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Tool for automated MEG data quality control

Project description

MEGqc

MEGqc is an open-source, BIDS-aligned toolbox for automated MEG quality assessment (QA) and explicit quality control (QC) summarization.

It is designed for large cohorts and reproducible workflows, and provides both:

  • interactive HTML reports for human inspection, and
  • machine-readable derivatives for downstream automation.

What MEGqc Provides

  • QA-first quality profiling of raw MEG signal quality before exclusion decisions.
  • Multi-metric coverage including:
    • standard deviation (STD),
    • peak-to-peak amplitude (PtP),
    • power spectral density (PSD),
    • ECG/EOG-related contamination,
    • high-frequency muscle burden,
    • optional head-motion summaries.
  • Multi-scale reporting across recording, channel, epoch, subject, dataset group, and multi-sample comparisons.
  • QC support layer with configurable module-level criteria and a Global Quality Index (GQI).
  • Reproducible execution with profile-aware outputs and saved settings provenance.
  • Three usage modes: CLI, GUI, and programmatic dispatchers.

Requirements

  • Python 3.10
  • MEG data organized according to BIDS/MEG-BIDS.

Installation

Option 1: Installer-based (recommended for most users)

Download the installer bundle from the MEGqc releases and follow the platform-specific instructions in the installation guide.

Option 2: CLI-based (Conda + pip)

conda create -n megqc-py310 python=3.10 pip -y
conda activate megqc-py310
pip install meg-qc

For detailed installation instructions, see the CLI installation guide.

Quick Start (CLI)

  1. Export default config:
get-megqc-config --target_directory ./config
  1. Run QA/QC calculation:
run-megqc --inputdata /path/to/bids_dataset --config ./config/settings.ini
  1. Build plotting reports:
run-megqc-plotting --inputdata /path/to/bids_dataset
  1. Recompute GQI summaries (optional):
globalqualityindex --inputdata /path/to/bids_dataset
  1. Run full pipeline in one command (calculation + plotting):
run-megqc --inputdata /path/to/bids_dataset --config ./config/settings.ini --run-all

Launch GUI

megqc

The GUI uses the same backend logic as CLI dispatchers and writes the same derivative/report outputs.

Typical Outputs

MEGqc writes outputs under BIDS derivatives (default):

  • derivatives/Meg_QC/calculation/ — metric tables + JSON summaries
  • derivatives/Meg_QC/reports/ — interactive HTML reports
  • derivatives/Meg_QC/summary_reports/ — QC summaries including GQI artifacts

Documentation

Source Code

https://github.com/ANCPLabOldenburg/MEGqc

License

MIT License.

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