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.
8.12.13. nilearn.glm.cluster_level_inference¶
nilearn.glm.cluster_level_inference(stat_img, mask_img=None, threshold=3.0, alpha=0.05, verbose=False)¶Report the proportion of active voxels for all clusters defined by the input threshold.
Parameters: stat_img : Niimg-like object or None, optional
statistical image (presumably in z scale)
mask_img : Niimg-like object, optional,
mask image
threshold: list of floats, optional
cluster-forming threshold in z-scale.
alpha: float or list, optional
level of control on the true positive rate, aka true dsicovery proportion
verbose: bool, optional
verbosity mode
Returns: proportion_true_discoveries_img: Nifti1Image,
the statistical map that gives the true positive
