- MNE-Python version: 0.22.1
- operating system: Windows 10
I’m calculating connectivity (using the coherence measurement) in the sensor space for 5 minutes of continuous meditation data. I am okay with epoching the data, and have done this to make the function (mne.connectivity.spectral_connectivity) work.
Am working on finding an ideal window for epochs, and have settled on 50s for the time being. I’m wondering, though, would finer-grain epoching make my connectivity measures more accurate since there are more chunks of data to statistically compare? I don’t know too much about this measure, but am hoping to learn as much as I can to incorporate it into our lab’s analysis.