fMRI connectivity

fMRI connectivity

"An introduction to fMRI data: the captured signal, the main steps of preprocessing and how functional connectivity is calculated."


The estimated time to complete this training module is 4h.

The prerequisites to take this module are:

Contact François Paugam if you have questions on this module, or if you want to check that you completed successfully all the exercises.


This module was presented by Pierre Bellec during the QLSC 612 course in 2020, the slides are available here.

The video of the presentation is available below:


  • Download the jupyter notebook with the folowing command, follow it carefully and complete the 3 exercises at the end.
  • Follow up with François Paugam to validate you completed the exercise correctly.
  • 🎉 🎉 🎉 you completed this training module! 🎉 🎉 🎉

More resources

Here are Pierre Bellec's slides for a course on brain parcellation. They contain snippets of examples of nilearn code to load datasets, plot brains, compute and plot connectomes…

The video on resting state mentionned by Pierre in his presentation :

If you want to know more about fMRIprep, Basile Pinsard made a presentation on this topic for BrainHack school 2019 :