944822e8fd92f2a14c971e6b5948681672ae6706,pynets/fmri/clustools.py,,individual_clustering,#Any#Any#Any#Any#Any#Any#Any#,479

Before Change

    mask_data = mask_img.get_data().astype("bool").astype("int")
    func_img = nib.load(func_file)
    func_data = func_img.get_data().astype("bool")
    masked = mask_data.copy()
    masked[~func_data[:,:,:,0]] = 0
    clust_mask_corr = "%s%s%s%s" % (dir_path, "/", mask_name, ".nii.gz")
    nib.save(nib.Nifti1Image(masked, affine=mask_img.affine, header=mask_img.header), clust_mask_corr)

After Change

    mask_data[~func_data_sample_slice] = 0
    clust_mask_corr = "%s%s%s%s" % (dir_path, "/", mask_name, ".nii.gz")
    nib.save(nib.Nifti1Image(mask_data, affine=mask_img.affine, header=mask_img.header), clust_mask_corr)
    del mask_data
    del func_data

    if clust_type in nilearn_clust_list:
        clustools.nil_parcellate(func_file, clust_mask_corr, k, clust_type, uatlas, dir_path, conf,

Instances