I would just treat them as separate runs and analyze them as "normal" (ie, with -per-run alignment). bbregister should be able to do the registration properly. Do you foresee problems with that?

doug


On 12/18/13 6:17 PM, Rosa Lafer-Sousa wrote:
Hi Doug,

I collected all the runs in the same subject in one session for the same brain region (roughly the same slice window) but I collected a field map for each run and undistorted each run independently. I also motion corrected each run independently. Each run covers roughly the same part of the brain, but I took the subject out partway between the session, so the slice perscription is slightly off across the before and after runs (it's as if they were separate sessions).  

Is that more clear?

Thanks!
Rosa

On Wednesday, December 18, 2013, Douglas N Greve wrote:

Hi Rosa, let me see if I have this straight. For a single subject (in a
single session?) you have multiple runs. Each run only covers a part of
the brain (do the different runs overlap?). In the end, you want to have
a full brain analysis by combining the different parts. Is that right?

doug


On 12/18/2013 03:57 PM, Rosa Lafer-Sousa wrote:
> freesurfers,
>
> we've acquired fMRI data from [slightly different] slice
> prescriptions, all partial brain slices.  we want to analyze this data
> all together, but we also want to have the best registration possible
> [i.e., use bbregister].  what's the best way to do this?  here are the
> ideas we have:
>
> 1. analyze these data on the individual subject's surface with
> selxavg3-sess.  the one problem is that we don't see how to pass the
> registration file for each run.  [there are different registrations
> for distortion-corrected or not]
>
> 2. run glms for each run independently and then combine the subject's
> data together with a FFX analysis.  what's the easiest way to run a
> FFX analysis with fsfast?
>
> 3. upsample these functional data to the subject's anatomy [either
> volume or surface] and then run the analysis there. however, this will
> take a good chunk of memory and compute time.
>
> what's the best thing to do here?
>
> thanks in advance,
> rosa
>
>
> --
>
>
> 210-325-3185
> rlaferso@wellesley.edu <mailto:rlaferso@wellesley.edu>
>
>
> _______________________________________________
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
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MGH-NMR Center
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--
Rosa Lafer-Sousa
Lab Manager, Conway Lab
Wellesley College - Neuroscience
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