Hi,
I believe this might be a simple question but I've checked previous lists but still can not find answer......
I am a new user of MELODIC and try to use its output data to remove artefact in my subject's FMRI data. I did FSL's FEAT analysis and selected MELODIC analysis in Pre-stats in one subject's long-run FMRI data (a complex cognition task containing 800 volumes). Report of FEAT Pre-stats showed that the translation of this subject is less than 1.5 mm. In MELODIC report, it produced 300 independent components, which retains about 85% of total variability. The first ~30 components captured about 40% of the variance across the entire functional data.
Is the number reasonable? The problem is, it will be grueling to go through these 300 ICs to remove noise components! Could I just check the first ~30 components to remove noise?
Thanks for any help.
Mark
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