I’m interested in running Rapidtide on my resting-state fMRI dataset to remove physiological noise from cardiac, respiratory, and sLFO signals. I’ve already run fMRIPrep 24.1.0rc2 on my data and have cardiac and respiratory recordings in BIDS format from the scanner. From reading the documentation, it seems like Rapidtide only removes sLFO signals that it extracts from the fMRI data itself, and doesn’t actually use the raw physiological recordings as inputs. I’m confused about whether I need to do additional preprocessing with my cardiac/respiratory data, and whether I should be running Happy (which does take physiological files as input) on my data as well. What’s the recommended workflow here? Should I run Happy first to process the physiological data, then use those outputs somehow with Rapidtide? Or does Rapidtide’s sLFO removal already capture the physiological noise I’m concerned about? Any guidance on how to best utilize both the Rapidtide pipeline and my physiological recordings would be greatly appreciated.