# mne.beamformer.apply_dics_csd¶

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.

Parameters
csdinstance 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.

filtersinstance of Beamformer

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

verbose

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

Source power with frequency instead of time.

frequencies

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.

References

1

Joachim Groß, Jan Kujala, Matti S. Hämäläinen, Lars Timmermann, Alfons Schnitzler, and Riitta Salmelin. Dynamic imaging of coherent sources: studying neural interactions in the human brain. Proceedings of the National Academy of Sciences, 98(2):694–699, 2001. doi:10.1073/pnas.98.2.694.