mne.beamformer.apply_lcmv_raw

mne.beamformer.apply_lcmv_raw(raw, filters, start=None, stop=None, max_ori_out='abs', verbose=None)[source]

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

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

NOTE : This implementation has not been heavily tested so please report any issue or suggestions.

Parameters:

raw : mne.io.Raw

Raw data to invert.

filters : dict

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

start : int

Index of first time sample (index not time is seconds).

stop : int

Index of first time sample not to include (index not time is seconds).

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.