epi_imgs: list of Niimgs :
A list of arrays, each item being a subject or a session.
3D and 4D images are accepted.
If 3D images is given, we suggest to use the mean image of each
session
threshold: float, optional :
the inter-session threshold: the fraction of the
total number of session in for which a voxel must be in the
mask to be kept in the common mask.
threshold=1 corresponds to keeping the intersection of all
masks, whereas threshold=0 is the union of all masks.
lower_cutoff: float, optional :
lower fraction of the histogram to be discarded.
upper_cutoff: float, optional :
upper fraction of the histogram to be discarded.
connected: boolean, optional :
if connected is True, only the largest connect component is kept.
exclude_zeros: boolean, optional :
Consider zeros as missing values for the computation of the
threshold. This option is useful if the images have been
resliced with a large padding of zeros.
target_affine: 3x3 or 4x4 matrix, optional :
This parameter is passed to image.resample_img. Please see the
related documentation for details.
target_shape: 3-tuple of integers, optional :
This parameter is passed to image.resample_img. Please see the
related documentation for details.
memory: instance of joblib.Memory or string :
Used to cache the function call.
n_jobs: integer, optional :
The number of CPUs to use to do the computation. -1 means
‘all CPUs’.
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