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#

Source reconstruction using an LCMV beamformer

Source reconstruction using an LCMV beamformer

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

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

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