Dear HCP experts, In the "900 subject" release, the rfMRI preprocessed data comes in two flavors, for example:
<SubjectID>/MNINonLinear/Results/rfMRI_REST1_LR_Atlas_MSMALL.dtseries.nii and <SubjectID>/MNINonLinear/Results/rfMRI_REST1_LR_Atlas_MSMALL_hp2000_clean.dtseries.nii On the other hand, the tfMRI data seems to be released only in the first form (ie, ending with _Atlas_MSMALL.dtseries.nii). Looking at the power spectrum, one can see that most of the spikes that are cleared away by FIX-ICA in rfMRI also exist in the task data. The older posts in the mailing list suggest that the task data has not been denoised at all since the z-score results do not change much. However, instead of the common activation mapping, I would like to analyze the time series per se and hope to get rid of as much structured noise as possible. Is there a way to remove the equivalent "bad" ICA components from the task time series? Thank you very much for your help (and of course, many thanks also for sharing these really high-quality data with all of us)! Best wishes, Adrian ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
