I’m using the MNE-BIDS-Pipeline on EEG data that doesn’t have dedicated EOG channels. I want to automatically select ICs corresponding to EOG artifacts during the ICA step. We alo conduct studies with children, where horizontal eye movements are more problematic.
I’m considering using frontal EEG channels to simulate EOG channels:
- Fp1/Fp2 for vertical EOG (VEOG)
- F9/F10 for horizontal EOG (HEOG)
In the MNE-BIDS-Pipeline config, I’ve thought about these options:
- Using all channels:
eog_channels = ["Fp1", "Fp2", "F9", "F10"]
- Using a subset of channels:
eog_channels = ["Fp1", "F9"]
- Creating a bipolar HEOG channel and using it with Fp1/Fp2:
eeg_add_bipolar_channels = {'HEOG': ('F9', 'F10')}
eog_channels = ["Fp1", "Fp2", "HEOG"]
What would be the best practice for simulating EOG channels and configuring the pipeline for optimal EOG artifact detection, especially considering our work with children’s data?
Thank you for your insights!