Re: [HCP-Users] [SPAM] Re: [SPAM] Re: [SPAM] Re: [TaskfMRILevel2]feat_modelerror

2017-04-28 Thread Glasser, Matthew
I see: The fsf file is a part of the preprocessed fMRI packages together with the EVs. We should probably make a more descriptive error message for missing fsf or EVs. Peace, Matt. From: -- <744652...@qq.com> Date: Friday, April 28, 2017 at 10:51 PM To: Matt Glasser

Re: [HCP-Users] [SPAM] Re: [SPAM] Re: [TaskfMRILevel2]feat_modelerror

2017-04-28 Thread --
Thanks, here is the code that calls TaskfMRIAnalysis.sh in TaskfMRIAnalysisBatch.sh: ${queuing_command} ${HCPPIPEDIR}/TaskfMRIAnalysis/TaskfMRIAnalysis.sh \ --path=$StudyFolder \ --subject=$Subject \ --lvl1tasks=$LevelOneTasks \ --lvl1fsfs=$LevelOneFSFs \

Re: [HCP-Users] variation across connectomes

2017-04-28 Thread Glasser, Matthew
What is it that you are trying to do? Control for uninteresting sources of variance? Peace, Matt. From: > on behalf of Joelle Zimmermann >

[HCP-Users] variation across connectomes

2017-04-28 Thread Joelle Zimmermann
Hi HCPers, I'm looking at variation across SC and FC connectomes of subjects. I was wondering due to which variables we could potentially expect variability across subjects to arise? I've looked into acquisition, fmri reconstruction version, and age as potential factors of variation. Any other