Note
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.
8.8.6. nilearn.regions.signals_to_img_maps¶
nilearn.regions.signals_to_img_maps(region_signals, maps_img, mask_img=None)¶Create image from region signals defined as maps.
region_signals, mask_img must have the same shapes and affines.
- Parameters
- region_signalsnumpy.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_imgNiimg-like object
See http://nilearn.github.io/manipulating_images/input_output.html Region definitions using maps.
- mask_imgNiimg-like object, optional
See http://nilearn.github.io/manipulating_images/input_output.html Boolean array giving voxels to process. integer arrays also accepted, zero meaning False.
- Returns
- imgnibabel.Nifti1Image
Reconstructed image. affine and shape are those of maps_img.