Hi,
The log files for ICA FIX are a bit scattered.
In the .ica directory check: .fix_2b_predict.log (from the prediction – i.e,. R 
code) and .fix.log (from the cleaning stage).
And in the .ica/fix directory, check logMatlab.txt (I believe that is from the 
feature extraction stage).

Note that our recommendation is to use “multi-run” FIX on the task data, due to 
its shorter run length.  We hope to have an announcement on that in the near 
future.  In that regard, you would implement your desired filtering as part of 
the MR-FIX cleaning (and there is a new “polynomial detrend” option, for faster 
execution), although I believe that we haven’t quite gotten around to adapting 
the TaskfMRIAnalysis scripts to work on data from MR-FIX.

Cheers,
-MH

--
Michael Harms, Ph.D.
-----------------------------------------------------------
Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.                        Tel: 314-747-6173
St. Louis, MO  63110                          Email: mha...@wustl.edu

From: <hcp-users-boun...@humanconnectome.org> on behalf of Leonardo Tozzi 
<lto...@stanford.edu>
Date: Monday, February 25, 2019 at 11:42 AM
To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
Subject: [HCP-Users] ICA FIX output missing

Dear Experts,

I have been trying to use ICA FIX to denoise task data of a large number of 
subjects from the HYA release.

I have managed to make it run with no errors on our local HPC cluster, but I 
still have one problem. In the vast majority of subjects, even if FIX works and 
produces a file (“fix4melview_HCP_hp2000_thr10.txt”) which shows which 
components are noise, I don’t get the final output, for example 
“tfMRI_EMOTION_RL_Atlas_hp2000_clean.dtseries.nii”. This is especially puzzling 
since it does seem to work for a minority of subjects. The matlab log also 
shows no errors.

A related question I would have is what filter you would recommend for task 
data. My intention is to use a GLM on the cleaned data, so is 2000 (linear 
detrending) ok, since then a lower high-pass will be applied in the GLM step?

Thank you very much,



Leonardo Tozzi, MD, PhD
Williams PanLab | Postdoctoral Fellow
Stanford University | 401 Quarry Rd
lto...@stanford.edu<mailto:lto...@stanford.edu> | (650) 5615738


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