Hello Ben,

Since this process has been causing some confusion among multiple users, we’ve 
decided to put some additional detail in a wiki page.
https://wiki.humanconnectome.org/display/PublicData/Advice+for+FEAT+Analysis+of+HCP+task+fMRI+data

Please review this page to determine if it clarifies the process that you 
should follow to run group-level analyses of task fMRI data. If you have any 
additional questions, let us know so that we can further clarify this for users.

Thanks,
--Greg

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

On Aug 28, 2014, at 9:48 AM, Harms, Michael <[email protected]> wrote:

> 
> Hello Ely,
> If you want to run a "Level 3" group analysis, you already have everything 
> you need if you downloaded the task "analysis" packages, which already 
> contain the "Level 2" results (combining across runs) for each subject.  The 
> "prepare_level2_feat_analysis.sh" is if you are trying to generate the Level 
> 2 analysis for each subject yourself, from "Level 1" results (each specific 
> run).  The Level 1 results are not included in the downloadable packages.
> 
> In terms of running the Level 3 analysis, we have a script that helps 
> automate this, but it needs a little more vetting and clean-up, so I'm not 
> sure if it will quite make it into the imminent release of the HCP pipelines. 
>  For a volume-based analysis (i.e., using the results in the 
> tfMRI_<TASK>_hp200_s4_level2vol.feat directory for each subject), I believe 
> that you can run the Level 3 analysis through the FEAT GUI.  (Just tested 
> that on an simple three-subject group mean model, and it worked).  For a 
> grayordinate-based analysis, you basically have to convert the CIFTI to NIFTI 
> using 'wb_command -cifti-convert', run the equivalent set of commands 
> implemented by FEAT on the ensuing NIFTI's, and then convert back to CIFTI.  
> The aforementioned Level3 analysis script is obviously intended to make this 
> much simpler, and we will try to get that vetted and ready for release in the 
> near future.
> 
> cheers,
> -MH
> 
> -- 
> Michael Harms, Ph.D.
> -----------------------------------------------------------
> Conte Center for the Neuroscience of Mental Disorders
> Washington University School of Medicine
> Department of Psychiatry, Box 8134
> 660 South Euclid Ave.  Tel: 314-747-6173
> St. Louis, MO  63110  Email: [email protected]
> 
> From: <Ely>, Benjamin <[email protected]>
> Date: Thursday, August 28, 2014 1:20 AM
> To: "[email protected]" <[email protected]>
> Subject: [HCP-Users] missing level 1 .feat directories
> 
> Hello all,
> 
> I recently downloaded the preprocessed and analyzed volume data from the 100 
> Unrelated Subjects group. My understanding is that to conduct group analyses, 
> I now need to run the prepare_level2_feat_analysis.sh script for each of the 
> tasks for each of the subjects. However, when I try to run that script from 
> the various level 2 task directories for various subjects, I always get the 
> same error message, e.g.:
> 
> Cannot find 
> /Volumes/Connectomizer/HCP/Subjects/111312/MNINonLinear/Results/tfMRI_GAMBLING/../tfMRI_GAMBLING_RL/tfMRI_GAMBLING_RL_hp200_s4.feat
> Cannot find 
> /Volumes/Connectomizer/HCP/Subjects/111312/MNINonLinear/Results/tfMRI_GAMBLING/../tfMRI_GAMBLING_LR/tfMRI_GAMBLING_LR_hp200_s4.feat
> Cannot find any lower-level .feat directories!!!
> 
> When I look in those lower-level task directories, I only see the level1.fsf 
> files, so it seems like the level 1 .feat directories are missing. These 
> level 1 .feat directories are not mentioned in the directory structure 
> information from the 500 Subjects Release Reference Manual, though.
> 
> Are these level 1 .feat directories necessary, and if so, is there a way to 
> download them? Or will I need to generate them using FSL?
> 
> Many thanks for your help!
> -Ely
> 
> 
> B. Ely
> PhD Student
> Icahn School of Medicine at Mount Sinai
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