Dear all,
Thank you very much, I had not thought that indeed I am doing a group ICA, even if on a single subject.
The reason why I am doing this is to train FIX to do denoising.
I have a few follow-up questions:
1) Does it make sense to concatenate the sessions and train FIX on the components of the merged resting state? I thought having more data (20 compared to 5 minutes of resting state) would be a more reasonable choice to identify the noise components. The ultimate goal is to use the multirun FIX to denoise both functional and rest data, as implemented by the HCP pipelines. Is this correct?
2) Compared to what you suggest (concatenating the sessions outside of MELODIC), could I not simply use the --disableMigp option instead?
3) Assuming not, are any other steps needed before launching MELODIC on the concatenated timeseries? Does account internally for any systematic difference between sessions (or would this just be identified as a component?)?
Thank you,
Leonardo Tozzi
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