mne.make_field_map#
- mne.make_field_map(evoked, trans='auto', subject=None, subjects_dir=None, ch_type=None, mode='fast', meg_surf='helmet', origin=(0.0, 0.0, 0.04), n_jobs=None, *, head_source=('bem', 'head'), verbose=None)[source]#
Compute surface maps used for field display in 3D.
- Parameters:
- evoked
Evoked|Epochs|Raw The measurement file. Need to have info attribute.
- trans
str| ‘auto’ |None The full path to the
*-trans.fiffile produced during coregistration. If present or found using ‘auto’ the maps will be in MRI coordinates. If None, map for EEG data will not be available.- subject
str|None The subject name corresponding to FreeSurfer environment variable SUBJECT. If None, map for EEG data will not be available.
- subjects_dir
str The path to the freesurfer subjects reconstructions. It corresponds to Freesurfer environment variable SUBJECTS_DIR.
- ch_type
None| ‘eeg’ | ‘meg’ If None, a map for each available channel type will be returned. Else only the specified type will be used.
- mode‘accurate’ | ‘fast’
Either
'accurate'or'fast', determines the quality of the Legendre polynomial expansion used.'fast'should be sufficient for most applications.- meg_surf‘helmet’ | ‘head’
Should be
'helmet'or'head'to specify in which surface to compute the MEG field map. The default value is'helmet'.- originarray-like, shape (3,) | ‘auto’
Origin of the sphere in the head coordinate frame and in meters. Can be
'auto', which means a head-digitization-based origin fit. Default is(0., 0., 0.04).New in version 0.11.
- n_jobs
int|None The number of jobs to run in parallel. If
-1, it is set to the number of CPU cores. Requires thejoblibpackage.None(default) is a marker for ‘unset’ that will be interpreted asn_jobs=1(sequential execution) unless the call is performed under ajoblib.parallel_backend()context manager that sets another value forn_jobs.- head_source
str|listofstr Head source(s) to use. See the
sourceoption ofmne.get_head_surf()for more information.New in version 1.1.
- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- evoked
- Returns:
- surf_maps
list The surface maps to be used for field plots. The list contains separate ones for MEG and EEG (if both MEG and EEG are present).
- surf_maps
