Q: why raw.pick_channels(temporal) in lcmv example?

In the plot_lcmv_beamformer_volume example, why is there a selection of left temporal channels before source reconstruction?

left_temporal_channels = mne.read_selection('Left-temporal')
picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=True, eog=True,
                       exclude='bads', selection=left_temporal_channels)

I don’t understand the rational of removing good channels before a source reconstruction.

cc @agramfort @britta-wstnr

[sarangnemo]

I’d prefer not to propagate the myth that one can’t see auditory activations with a beamformer without special tricks. The beamformer seems to perform excellently on this dataset using all the sensors, so why should we give people the impression otherwise?

[britta-wstnr]

most of the time it does, yes.