Giving credit

4.5.1.4. nilearn.region.signals_to_img_maps

nilearn.region.signals_to_img_maps(region_signals, maps_img, mask_img=None)

Create image from region signals defined as maps.

labels_img, mask_img must have the same shapes and affines.

Parameters :

region_signals: numpy.ndarray :

signals to process, as a 2D array. A signal is a column. There must be as many signals as maps. In pseudo-code: region_signals.shape[1] == maps_img.shape[-1]

maps_img: niimg :

Region definitions using maps.

mask_img: niimg, optional :

Boolean array giving voxels to process. integer arrays also accepted, zero meaning False.

Returns :

img: nibabel.Nifti1Image :

Reconstructed image. affine and shape are those of maps_img.