Empty-room pre-processing - ICA

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  • MNE version: e.g. 1.3.0
  • operating system: Windows 11

Hi, I am trying to use my empty room data to whiten my covariance matrix before applying LCMV beamforming. In the pre-processing pipeline of the empty room, I successfully applied the function mne.preprocessing.maxwell_filter_prepare_emptyroom. Now, on my experimental data, I also applied ICA. My question is: what should I do with my empty room data? Is it enough to just remove the same number of components, or is there a way to save the ICA weights from the data and apply the same transformation to the empty room recordings?

Thank you!

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Once you fit the ica on your data, you can do ica.apply(my_data) to remove the bad components- then also do ica.apply(noise_data). Just make sure that you prefilter your noise and neurophys data the same. You can also save out the ica for later use - the documentation is on the MNE site, but I think its just ica.save.

And from your question - I don’t think that just removing the same number of components is equivalent.

Good luck.

–Jeff

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