Class SourceMorph

mne/morph.py:370–769

Morph source space data from one subject to another. .. note:: This class should not be instantiated directly via ``mne.SourceMorph(...)``. Instead, use one of the functions listed in the See Also section below. Parameters ---------- subject_from : str | Non

@fill_doc
class SourceMorph:
    """Morph source space data from one subject to another.

    .. note::
        This class should not be instantiated directly via
        ``mne.SourceMorph(...)``. Instead, use one of the functions
        listed in the See Also section below.

    Parameters
    ----------
    subject_from : str | None
        Name of the subject from which to morph as named in the SUBJECTS_DIR.
    subject_to : str | array | list of array
        Name of the subject on which to morph as named in the SUBJECTS_DIR.
        The default is 'fsaverage'. If morphing a volume source space,
        subject_to can be the path to a MRI volume. Can also be a list of
        two arrays if morphing to hemisphere surfaces.
    kind : str | None
        Kind of source estimate. E.g. ``'volume'`` or ``'surface'``.
    zooms : float | tuple
        See :func:`mne.compute_source_morph`.
    niter_affine : tuple of int
        Number of levels (``len(niter_affine)``) and number of
        iterations per level - for each successive stage of iterative
        refinement - to perform the affine transform.
    niter_sdr : tuple of int
        Number of levels (``len(niter_sdr)``) and number of
        iterations per level - for each successive stage of iterative
        refinement - to perform the Symmetric Diffeomorphic Registration (sdr)
        transform :footcite:`AvantsEtAl2008`.
    spacing : int | list | None
        See :func:`mne.compute_source_morph`.
    smooth : int | str | None
        See :func:`mne.compute_source_morph`.
    xhemi : bool
        Morph across hemisphere.
    morph_mat : scipy.sparse.csr_array
        The sparse surface morphing matrix for spherical surface
        based morphing :footcite:`GreveEtAl2013`.
    vertices_to : list of ndarray
        The destination surface vertices.
    shape : tuple
        The volume MRI shape.
    affine : ndarray
        The volume MRI affine.
    pre_affine : instance of dipy.align.AffineMap
        The transformation that is applied before the before ``sdr_morph``.
    sdr_morph : instance of dipy.align.DiffeomorphicMap
        The class that applies the symmetric diffeomorphic registration
        (SDR) morph.
    src_data : dict
        Additional source data necessary to perform morphing.
    vol_morph_mat : scipy.sparse.csr_array | None
        The volumetric morph matrix, if :meth:`compute_vol_morph_mat`
        was used.
    %(verbose)s

    See Also