mne.make_forward_dipole#

mne.make_forward_dipole(dipole, bem, info, trans=None, n_jobs=None, *, verbose=None)[source]#

Convert dipole object to source estimate and calculate forward operator.

The instance of Dipole is converted to a discrete source space, which is then combined with a BEM or a sphere model and the sensor information in info to form a forward operator.

The source estimate object (with the forward operator) can be projected to sensor-space using mne.simulation.simulate_evoked().

Note

If the (unique) time points of the dipole object are unevenly spaced, the first output will be a list of single-timepoint source estimates.

Parameters:

dipoleinstance of Dipole | list of Dipole: Dipole object containing position, orientation and amplitude of one or more dipoles. Multiple simultaneous dipoles may be defined by assigning them identical times. Alternatively, multiple simultaneous dipoles may also be specified as a list of Dipole objects.

Changed in version 1.1: Added support for a list of mne.Dipole instances.
bemstr | dict: The BEM filename (str) or a loaded sphere model (dict).
infoinstance of Info: The measurement information dictionary. It is sensor-information etc., e.g., from a real data file.
transstr | None: The head<->MRI transform filename. Must be provided unless BEM is a sphere model.
n_jobsint | None: The number of jobs to run in parallel. If -1, it is set to the number of CPU cores. Requires the joblib package. 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 n_jobs.
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:

fwdinstance of Forward: The forward solution corresponding to the source estimate(s).
stcinstance of VolSourceEstimate | list of VolSourceEstimate: The dipoles converted to a discrete set of points and associated time courses. If the time points of the dipole are unevenly spaced, a list of single-timepoint source estimates are returned.

Examples using `mne.make_forward_dipole`#

Source localization with equivalent current dipole (ECD) fit

Computing source timecourses with an XFit-like multi-dipole model

mne.make_forward_dipole#

Examples using mne.make_forward_dipole#

Examples using `mne.make_forward_dipole`#