# Using the GLM to model fMRI data

# Using the GLM to model fMRI data#

In this section (corresponding to week 2 of the course), we will discuss the general linear model (GLM) and how to use it to analyze functional MRI data. The presentation slides for this week can be found below:

This section contains two notebooks:

The *estimation* tutorial discusses the basics of multiple linear regression and how to estimate its parameters using ordinary least squares (OLS) as well as how to quantify model fit. The *inference* notebook discusses how to specify hypotheses using contrasts and how to statistically test these hypotheses by computing *t* and *p*-values.

Note that these two notebooks are quite extensive (especially the *estimation* tutorial) and may take longer to complete than the other tutorials in this course. In our “offline” course at the University of Amsterdam, we therefore have students do the *estimation* tutorial in week 2 and the *inference* notebook for week 3.

Note

The tutorials from this section can be done online using Binder by clicking on the rocket icon in the top right of the tutorial page.