The precise process in the FIX pipelines is hopefully clear upon reviewing 
https://github.com/Washington-University/Pipelines/blob/master/ICAFIX/hcp_fix.for_fix1.06a
 (including the FIX subfunctions that it calls).

If you started from a different starting point than the hcp_fix script, there 
are a few candidate reasons why your results might not match the released FIX 
packages.
- read in different motion parameter file
- did not use 2000s highpass filter on data and on motion parameters
- ran your own MELODIC, instead of using the MELODIC ICA output in the FIX 
extended packages (I believe that the FIX scripts re-run / overwrite MELODIC by 
default)

If these don’t seem to be the issue, it might help to know a bit more about how 
the two outputs actually differ. (e.g., Is the difference within machine 
precision?)

--Greg

____________________________________________________________________
Greg Burgess, Ph.D.
Staff Scientist, Human Connectome Project
Washington University School of Medicine
Department of Psychiatry
Phone: 314-362-7864
Email: gburg...@wustl.edu

> On Sep 16, 2016, at 12:17 PM, Ely, Benjamin <benjamin....@mssm.edu> wrote:
>
> Hi all,
>
> I ran a test recently comparing "aggressive" vs. "soft" denoising in MELODIC 
> on an HCP resting-state run, regressing out the "bad" components found in the 
> rfMRI_REST1_LR_hp2000.ica/.fix file (I believe the location of this info is 
> different in the newer release but I'm working off HCP500 data). Both 
> denoising methods gave similar results which also looked similar to the 
> released HCP ICA-FIX denoised timeseries (i.e. 
> rfMRI_REST1_LR_hp2000_clean.nii.gz), but I expected the soft denoised MELODIC 
> output to be identical, which it was not. Is there a step I'm missing, or did 
> you run the ICA component regression with a different tool?
>
> Thank you!
> -Ely
> _______________________________________________
> HCP-Users mailing list
> HCP-Users@humanconnectome.org
> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>



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