Information

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

The prerequisites to take this module are:

• the installation module.
• the introduction to python for data analysis module.

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

Resources

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:

Exercise

• Download the jupyter notebook with the folowing command, follow it carefully and complete the 3 exercises at the end.

wget https://raw.githubusercontent.com/BrainhackMTL/psy6983_2021/master/content/en/modules/fmri_connectivity/BHS_fMRI_connectivity.ipynb

• 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 :