there is not an easy way to do it. Probably the easiest thing to do is 
to create a separate session for each run. You can them analyze them 
under the same analysis name, then combine them together with 
isxconcat-sess, then do a one-sample group mean (--osgm) fixed effects 
analysis in mri_glmfit.


On 08/13/2017 09:53 PM, Taylor, Johnmark wrote:
> Hello,
>
> I am trying to do a GLM analysis for a study in which I scanned each 
> participant twice. Currently, to combine the two scanning sessions I 
> am combining the runs from the two sessions into a single session 
> directory and applying per-session motion correction, essentially 
> treating all the data as though it came from a single session. The 
> issue is that when I do this, the GLM analysis takes prohibitively 
> long (with just 8 subjects, the analysis has already been running for 
> two weeks). To speed things up, I had the idea of doing the runwise 
> GLM (getting the betas and contrast values for each run), then 
> combining the runwise results to get t-values and p-values for the 
> whole session. However, I am not entirely sure how to do this last 
> bit; is there some kind of function that can be used to take all the 
> per-run t-values or effect sizes in a session and combine them to get 
> an aggregate t-value and p-value for the whole session, for a given 
> contrast? I believe FSL follows this analysis strategy (doing runwise 
> analyses then combining them into the whole session), so I was 
> wondering whether FSFAST had a way of doing the same.
>
> Thank you very much,
>
> JohnMark
>
>
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