Information

The estimated time to complete this training module is 2h.

The prerequisites to take this module are:

• the installation module.
• the introduction to the terminal module.
• the python for data analysis module. Contact Pierre Bellec 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 Christopher J. Markiewicz during the QLSC 612 course in 2020.

The slides are available here.

The video of his presentation is available below:

Exercise

• Download a few subjects (n=3) from the dataset DS000228 on openneuro. Hint: the dataset is available with datalad from this git repository.
• Check that the resulting folder is a bids-compliant dataset using the bids validator (using a web browser or a local npm install). Did you get any warnings? Explain what they are and whether they are a concern.
• Install pybids. Use pybids to get a list of all BOLD nii.gz files for subject pixar003. In which folder did you find them? is it logical? You may want to have a look at the BIDS documentation to familiarize yourself with the BIDS standard.
• Using pybids, get a list of the flip angles in DS000228.
• Clone a Midnight Brain Scan dataset from this git repository. Use pybids to load the participant.tsv file as a pandas dataframe in python.
• Follow up with Pierre Bellec to validate you completed the exercise correctly.
• 🎉 🎉 🎉 you completed this training module! 🎉 🎉 🎉

More resources

If you want to learn more about BIDS and pybids, check:

• the BIDS documentation,
• the dicom2bids converter - we have local support for this one.
• the pybids documentation