mne.make_forward_dipole

mne.make_forward_dipole(dipole, bem, info, trans=None, n_jobs=None, *, verbose=None)

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_config 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.

See also

mne.simulation.simulate_evoked

Notes

New in v0.12.0.

Examples using mne.make_forward_dipole

Source localization with equivalent current dipole (ECD) fit

Source localization with equivalent current dipole (ECD) fit

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

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