mne.beamformer.apply_dics_csd(csd, filters, verbose=None)[source]

Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights.

Apply a previously computed DICS beamformer to a cross-spectral density (CSD) object to estimate source power in time and frequency windows specified in the CSD object [1].

csd : instance of CrossSpectralDensity

The data cross-spectral density (CSD) matrices. A source estimate is performed for each frequency or frequency-bin defined in the CSD object.

filters : dict

DICS spatial filter (beamformer weights) Filter weights returned from make_dics.

verbose : bool, str, int, None

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

stc : SourceEstimate

Source power with frequency instead of time.

frequencies : list of float

The frequencies for which the source power has been computed. If the data CSD object defines frequency-bins instead of exact frequencies, the mean of each bin is returned.


[1](1, 2) Gross et al. Dynamic imaging of coherent sources: Studying neural interactions in the human brain. PNAS (2001) vol. 98 (2) pp. 694-699

Examples using mne.beamformer.apply_dics_csd