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=1, verbose=None)[source]#

Compute surface maps used for field display in 3D.

Parameters

evokedEvoked | Epochs | Raw: The measurement file. Need to have info attribute.
transstr | ‘auto’ | None: The full path to the *-trans.fif file 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.
subjectstr | None: The subject name corresponding to FreeSurfer environment variable SUBJECT. If None, map for EEG data will not be available.
subjects_dirstr: The path to the freesurfer subjects reconstructions. It corresponds to Freesurfer environment variable SUBJECTS_DIR.
ch_typeNone | ‘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_jobsint: The number of jobs to run in parallel (default 1). If -1, it is set to the number of CPU cores. Requires the joblib package.
verbosebool | str | int | None: Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns