This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
- nilearn.glm.second_level.make_second_level_design_matrix(subjects_label, confounds=None)¶
Sets up a second level design.
Construct a design matrix with an intercept and subject specific confounds.
- subjects_labellist of str
Contain subject labels to extract confounders in the right order, corresponding with the images, to create the design matrix.
- confoundspandas DataFrame, optional
If given, contains at least two columns, ‘subject_label’ and one confound. The subjects list determines the rows to extract from confounds thanks to its ‘subject_label’ column. All subjects must have confounds specified. There should be only one row per subject.
- design_matrixpandas DataFrame
The second level design matrix.