- mne.make_forward_solution(info, trans, src, bem, meg=True, eeg=True, *, mindist=0.0, ignore_ref=False, n_jobs=None, verbose=None)[source]#
Calculate a forward solution for a subject.
mne.Infoobject with information about the sensors and methods of measurement. If
path-like, it should be a
pathlib.Pathto a file with measurement information (e.g.
- transpath-like |
dict| instance of
If str, the path to the head<->MRI transform
*-trans.fiffile produced during coregistration. Can also be
'fsaverage'to use the built-in fsaverage transformation. If trans is None, an identity matrix is assumed.
Changed in version 0.19: Support for
- srcpath-like | instance of
Either a path to a source space file or a loaded or generated
- bempath-like |
Filename of the BEM (e.g.,
"sample-5120-5120-5120-bem-sol.fif") to use, or a loaded sphere model (dict).
If True (Default), include MEG computations.
If True (Default), include EEG computations.
Minimum distance of sources from inner skull surface (in mm).
If True, do not include reference channels in compensation. This option should be True for KIT files, since forward computation with reference channels is not currently supported.
The number of jobs to run in parallel. If
-1, it is set to the number of CPU cores. Requires the
None(default) is a marker for ‘unset’ that will be interpreted as
n_jobs=1(sequential execution) unless the call is performed under a
joblib.parallel_backend()context manager that sets another value for
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.
- fwdinstance of
The forward solution.
- fwdinstance of
--gradoption from MNE-C (to compute gradients) is not implemented here.
To create a fixed-orientation forward solution, use this function followed by
If the BEM solution was computed with OpenMEEG in
mne.make_bem_solution(), then OpenMEEG will automatically be used to compute the forward solution.
Changed in version 1.2: Added support for OpenMEEG-based forward solution calculations.
Working with CTF data: the Brainstorm auditory dataset
Head model and forward computation
EEG forward operator with a template MRI
EEG source localization given electrode locations on an MRI
Compute source power spectral density (PSD) of VectorView and OPM data
Compute MNE inverse solution on evoked data with a mixed source space
Plot point-spread functions (PSFs) for a volume
From raw data to dSPM on SPM Faces dataset