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.- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- csdinstance of
- Returns
- stc
SourceEstimate Source power with frequency instead of time.
- frequencies
listoffloat 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.
- stc
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.
Examples using mne.beamformer.apply_dics_csd#
Compute evoked ERS source power using DICS, LCMV beamformer, and dSPM