Welcome!

Hello everyone, and welcome to this MEGqc documentation. MEGqc is a Python-based pipeline for quality control of MEG data. It was developed by the Applied Neurocognitive Psychology Lab (ANCP Lab).

This guide includes

• What is MEGqc and why do we need it?

• Overview of MEGqc reports

• Installation guide

• Tutorial on how to run MEGqc

Requirements for this tutorial

MEGqc is designed to be as user-friendly as possible. This documentation will help you to install and run MEGqc without a deep technical knowledge. Still, you might benefit from having some familiarity with the following:

• Basic knowledge of the BIDS structure

• Access to a Linux terminal/shell and basic BASH commands

• Some familiarity with GitHub

Warning

Currently, MEGqc runs smoothly on Linux. but a Windows-compatible version is under development! 🚀

I’ve got a question!

If you have any questions or encounter difficulties while working with MEGqc, please don’t hesitate to get in touch with us. You can send an e-mail to karel.mauricio.lopez.vilaret@uni-oldenburg.de or check a New Issue in the MEGqc github.

Acknowledgements

This tutorial was made possible through the dedicated work of the Jupyter community, specifically, the Executable/Jupyter Book.