mne.beamformer.apply_lcmv_cov#

mne.beamformer.apply_lcmv_cov(data_cov, filters, verbose=None)[source]#

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights.

Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights to a data covariance matrix to estimate source power.

Parameters:
data_covinstance of Covariance

Data covariance matrix.

filtersinstance of Beamformer

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

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

Source power.

Examples using mne.beamformer.apply_lcmv_cov#

Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM

Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM