Example of second level design matrix#
This example shows how a second-level design matrix is specified: assuming that the data refer to a group of individuals, with one image per subject, the design matrix typically holds the characteristics of each individual.
This is used in a second-level analysis to assess the impact of these characteristics on brain signals.
This example requires matplotlib.
import matplotlib.pyplot as plt
raise RuntimeError("This script needs the matplotlib library")
Create a simple experimental paradigm#
We want to get the group result of a contrast for 20 subjects.
Next, we specify extra information about the subjects to create confounders. Without confounders the design matrix would correspond to a one sample test.
Create a second level design matrix#
With that information we can create the second level design matrix.
Attention: Design matrix is singular. Aberrant estimates are expected.
Let’s plot it.
Total running time of the script: (0 minutes 1.718 seconds)
Estimated memory usage: 10 MB