i have 100 nifti image and i have JHU atlas which contains 48 regions.
i compute the average of signals for each region to have X of shape (n_samples,48)
i train a regression model to get a weight of shape (1,48) .
i want to return to voxel space
how can i do this ?
@bthirion thank you very much
Use masker.invers_transform() to transform the 48-dimensional vector to a brain map.
yes ! thank you very much