- mne.scale_bem(subject_to, bem_name, subject_from=None, scale=None, subjects_dir=None, *, on_defects='raise', verbose=None)#
Scale a bem file.
Name of the scaled MRI subject (the destination mri subject).
Name of the bem file. For example, to scale
fsaverage-inner_skull-bem.fif, the bem_name would be “inner_skull-bem”.
The subject from which to read the source space. If None, subject_from is read from subject_to’s config file.
array, shape = (3,)
Scaling factor. Has to be specified if subjects_from is specified, otherwise it is read from subject_to’s config file.
Override the SUBJECTS_DIR environment variable.
- on_defects‘raise’ | ‘warn’ | ‘ignore’
What to do if the surface is found to have topological defects. Can be
'raise'(default) to raise an error,
'warn'to emit a warning, or
'ignore'to ignore when one or more defects are found. Note that a lot of computations in MNE-Python assume the surfaces to be topologically correct, topological defects may still make other computations (e.g.,
mne.make_bem_solution) fail irrespective of this parameter.
New in v1.0.