mne.beamformer.apply_lcmv

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

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

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

Parameters:

evoked : Evoked

Evoked data to invert.

filters : dict

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

max_ori_out: ‘abs’ | ‘signed’

Specify in case of pick_ori=’max-power’. If ‘abs’, the absolute value of the source space time series will be returned, if ‘signed’, the signed source space time series will be returned. ‘abs’ is deprecated and will be removed in 0.16. Set max_ori_out to ‘signed’ to remove this warning.

verbose : bool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns:

stc : SourceEstimate | VolSourceEstimate

Source time courses.