https://medium.com/@CarstenKlein/visualizing-brain-imaging-data-fmri-with-python-e1d0358d9dba

The code for this project can be found on Github.

There is a growing interest in applying machine learning techniques on medical data. Brain scans from Magnetic Resonance Imaging experiments (MRI) have been a popular choice with the number of publications combining MRI and machine learning growing exponentially over the last years (see data from PubMed below). Therefore in this first post we will cover some of the basics about structural and functional MRI (fMRI) data to give you an idea of how the data is generally structured. In the following post we will analyze the data by doing some correlation analysis and by building a general linear model (GLM) to identify active regions in the brain.