Imaginary Coherence measure in HCP-MEG data

Hi, I am working with the Human Connectome Project’s MEG data pipeline. I wanted to take the imaginary coherence of the data that has already been source localized, but I am not sure what is the best way to go about this. I was going to use MNE’s spectral_connectivity function, but that requires a sampling frequency and some sort of wavelet to be ran on the data. The issue with that is the HCP-MEG source localized data was analyzed in sections with different sampling frequencies, so it is not clear how I would specify that since HCP does not state what frequencies they used at what points in the data. Additionally, since I was using the Time Frequency pipeline, the data has already undergone a wavelet based transformation separating it into different frequency bands. Does anyone have some advice or recommended toolboxes to try out?
Thank you in advance for any advice.