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, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

stcSourceEstimate | VolSourceEstimate: Source power.

See also

make_lcmv, apply_lcmv, apply_lcmv_epochs, apply_lcmv_raw

Examples using `mne.beamformer.apply_lcmv_cov`¶

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¶