mne.
compute_morph_matrix
(subject_from, subject_to, vertices_from, vertices_to, smooth=None, subjects_dir=None, warn=True, xhemi=False, verbose=None)[source]¶Get a matrix that morphs data from one subject to another.
Parameters:  subject_from : string
subject_to : string
vertices_from : list of arrays of int
vertices_to : list of arrays of int
smooth : int or None
subjects_dir : string
warn : bool
xhemi : bool
verbose : bool, str, int, or None


Returns:  morph_matrix : sparse matrix

Notes
This function can be used to morph data between hemispheres by setting
xhemi=True
. The full crosshemisphere morph matrix maps left to right
and right to left. A matrix for crossmapping only one hemisphere can be
constructed by specifying the appropriate vertices, for example, to map the
right hemisphere to the left:
vertices_from=[[], vert_rh], vertices_to=[vert_lh, []]
.
Crosshemisphere mapping requires appropriate sphere.left_right
morphmaps in the subject’s directory. These morph maps are included
with the fsaverage_sym
FreeSurfer subject, and can be created for other
subjects with the mris_left_right_register
FreeSurfer command. The
fsaverage_sym
subject is included with FreeSurfer > 5.1 and can be
obtained as described here. For statistical
comparisons between hemispheres, use of the symmetric fsaverage_sym
model is recommended to minimize bias [R8282].
References
[R8282]  (1, 2) Greve D. N., Van der Haegen L., Cai Q., Stufflebeam S., Sabuncu M. R., Fischl B., Brysbaert M. A Surfacebased Analysis of Language Lateralization and Cortical Asymmetry. Journal of Cognitive Neuroscience 25(9), 14771492, 2013. 