mne.beamformer.apply_lcmv#

mne.beamformer.apply_lcmv(evoked, filters, *, max_ori_out=None, verbose=None)[source]#

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights on evoked data.

Parameters
evokedEvoked

Evoked data to invert.

filtersinstance of Beamformer

LCMV spatial filter (beamformer weights). Filter weights returned from make_lcmv().

max_ori_outNone

This argument is deprecated and will be removed in 1.1, as signed values are always returned. Do not pass it as an argument.

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
stcSourceEstimate | VolSourceEstimate | VectorSourceEstimate

Source time courses.

See also

make_lcmv, apply_lcmv_raw, apply_lcmv_epochs, apply_lcmv_cov

Notes

New in version 0.18.

Examples using mne.beamformer.apply_lcmv#

Source reconstruction using an LCMV beamformer

Source reconstruction using an LCMV beamformer

Source reconstruction using an LCMV beamformer

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