The FIX code includes a hcp_fix wrapper script, which you could run on the task 
fMRI time series data. It should be pretty straightforward.

However, the fact is that the 3T task data was not denoised by FIX because the 
zstat maps generally _decrease_ in statistical significance after FIX in 
regions where task activation is expected. This reduction could be the result 
of removing task-correlated signal or removing task-correlated noise. We have 
not determined that the reduced zstats are due to noise, so we have elected to 
forego FIX on task fMRI for now.

--Greg

____________________________________________________________________
Greg Burgess, Ph.D.
Staff Scientist, Human Connectome Project
Washington University School of Medicine
Department of Psychiatry
Phone: 314-362-7864
Email: [email protected]

> On Aug 2, 2016, at 1:42 PM, Chan, Adrian Ka Ho <[email protected]> wrote:
>
> 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
>
>
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