Dear FSL experts,
I have tried running ICA-AROMA on some of the resting state datasets that I have.
It seems that, for each subject, the algorithm seems to be retaining only around 20~30% (~ 10 out of total ~40 component0 of the ICs and regards rest as motion/noise components. Although it could be that dataset is very noisy, to me it seems that the algorithm is throwing away too much data.
Do you have any insights as to why this might be happening?
Thanks,
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