Probabilistic Functional Modes (PFM) practical

Probabilistic Functional Modes (or PFMs) provide an alternative to group-ICA (FSL MELODIC) followed by Dual-Regression (DR) for estimating resting state networks (RSNs) in population and individuals.

For this practical, we will use a Jupyter Notebook, that includes a series of exercises. Jupyter is a web application that allows you to interactively run the code for each exercise, and visualise the results. These exercises are mostly written in Python. However, you do not need to know the language to do the practical, all necessary instructions are provided. Please follow these steps to start the practical:

  1. First, please open a terminal window and go to the PFM directory, by typing the following command in the terminal: 
    2.     cd ~/fsl_course_data/PFM
  2. Second, please download the Jupyter Notebook in the PFM directory by typing the following command in the terminal: 
    3.     wget https://open.win.ox.ac.uk/pages/fslcourse/practicals/pfm/PFM_practical.ipynb
  3. Third, please open Jupyter by typing the following command in the terminal: 
    4.     fslpython -m jupyter notebook &
  4. This will open a page in Firefox, with a list of files included in PFM directory, click on PFM_practical.ipynb to open it.
  5. You are all set, follow the instructions in PFM_practical.ipynb and enjoy learning about PFMs!

The End.