mne.beamformer.apply_lcmv

mne.beamformer.apply_lcmv(evoked, filters, max_ori_out='signed', verbose=None)

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_out‘signed’

Specify in case of pick_ori=’max-power’.

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

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