Hi - what is your rfMRI protocol?   It might be that you're right that the 
difference is in the preprop - but my first guess might be that - if the rfMRI 
data is not as high quality as HCP rfMRI data - it might not be good enough to 
reliably drive MSMALL?

Cheers.



> On 9 May 2019, at 14:45, Maria Sison <[email protected]> wrote:
> 
> Dear experts,
>  
> We have run the HCP minimal preprocessing pipelines on our data (1 mm 
> isotropic T1w and FLAIR + rest and 4 tasks) and compared test-retest 
> reliability for MSMSulc and MSMAll in 20 subjects. Specifically, we looked at 
> intraclass correlations for parcellated cortical thickness and surface area 
> and found that they were much lower for MSMAll compared to MSMSulc in our 
> test-retest sample (MSMSulc on average above 0.9 and for MSMAll around 0.65 
> on average). When we looked in HCP retest data, the ICCs for MSMAll were more 
> similar to those for MSMSulc (both above 0.9), but still slightly lower. 
>  
> There are a few major differences in how we ran the pipeline. We skipped 
> sICA+FIX and ran our own preprocessing on task and rest fMRI after fMRIVolume 
> but before fMRISulc (bandpass filtering, motion correction, censoring, 
> CompCorr, and regressed out tasks). We thought our processing would be ok for 
> cleaning task fMRI, but I see that sICA+FIX is highly recommended before 
> running MSMAll 
> (https://www.mail-archive.com/[email protected]/msg06876.html 
> <https://www.mail-archive.com/[email protected]/msg06876.html>), 
> so I’m planning to try to rerun with sICA+FIX. Do you think that MSMAll is so 
> dependent on sICA+FIX that it could be causing these problems in our data or 
> do you have any other ideas about why we're getting such a large drop in ICCs 
> for MSMAll? In other words, what are the minimal preprocessing requirements 
> to effectively use MSMAll in non-HCP data? Any comments would be appreciated!
>  
> Thank you,
> Maria
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