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Thanks.

I have about 40 subjects. The last run went ahead for five days. I have killed 
it.

What's do you think about the use of PALM in my study (details are listed in 
previous mails)?

Best regards,


Stefano


> 
>     Il 7 maggio 2018 alle 19.48 "Douglas N. Greve" <dgr...@mgh.harvard.edu> 
> ha scritto:
> 
>     It looks right. How many subjects do you have? You can also check on the
>     progress by looking at the csd files in the glmdir/csd folder
> 
>     On 05/03/2018 11:30 AM, std...@virgilio.it wrote:
>     >
> 
>         > > 
> >         Hi list,
> > 
> >         I'm running the follow command lines:
> > 
> >         1) mri_glmfit --y ces.nii.gz --cortex --surf fsaverage rh --glmdir
> >         MMSE.wls --nii.gz --fsgd g1v1_MMSE.fsgd dods --C intercept.mtx --C
> >         slope.mtx --eres-save
> > 
> >         2) mri_glmfit-sim --glmdir MMSE.wls --perm 1000 2.0 abs --cwp 0.05
> >         --bg 1 --3spaces
> > 
> >         the computation N.2 (mri_glmfit-sim) is going ahead from two days...
> > 
> >         ...Poll 16733 job 1 Sun Apr 29 15:58:41 CEST 2018
> > 
> >         I'm suspecting that some what in command lines is wrong... Please
> >         could you check it?
> > 
> >         Do you think that for my experimental question (I aiming to perform 
> > a
> >         within group correlatation between the thickness or FC and MMSE
> >         scores) should I use also PALM within mri_glmfit-sim computation?
> > 
> >         Thanks
> > 
> >         Best regards
> > 
> >         Stefano
> > 
> >             > > > 
> > >             Il 24 aprile 2018 alle 19.39 Douglas Greve 
> > > <dgr...@mgh.harvard.edu>
> > >             ha scritto:
> > > 
> > >             Try permutation
> > > 
> > >             
> > > http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MultipleComparisonsV6.0Perm
> > > 
> > >             On 4/24/18 8:21 AM, std...@virgilio.it 
> > > <mailto:std...@virgilio.it>
> > >             wrote:
> > >             >
> > >             >
> > > 
> > >                 > > > > 
> > > >                 Hi,
> > > > 
> > > >                 I'm performing a group analysis.
> > > > 
> > > >                 I would like to investigate a simple correlation 
> > > > analysis within
> > > >                 group, aiming to map the clusters showing correlation 
> > > > between the FC
> > > >                 and the neuropsychological test scores (e.g. MMSE). 
> > > > Overall, the NPS
> > > >                 test have not a normal distribution of their scores 
> > > > and, thus,
> > > >                 parametric computation should be discouraged.
> > > > 
> > > >                 Thanks
> > > > 
> > > >                 Stefano
> > > > 
> > > >                 >
> > > > 
> > > >                     > > > > > 
> > > > >                     Il 19 aprile 2018 alle 18.11 "Douglas N. Greve"
> > > > >                     <dgr...@mgh.harvard.edu> 
> > > > > <mailto:dgr...@mgh.harvard.edu> ha
> > > > >                     scritto:
> > > > > 
> > > > >                     I'm not sure what you mean. Can you elaborate? Is 
> > > > > this an
> > > > >                     individual
> > > > >                     analysis or a group analysis?
> > > > > 
> > > > >                     On 04/18/2018 10:10 AM, std...@virgilio.it
> > > > >                     <mailto:std...@virgilio.it> wrote:
> > > > >                     >
> > > > > 
> > > > >                     Hi list,
> > > > > 
> > > > >                     which the best way to perform a whole-brain 
> > > > > correlation of
> > > > >                     the FC
> > > > >                     assessed by FS-FAST with the volumetic or
> > > > >                     neuropsychological outcomes?
> > > > >                     Please note that my question is specifically 
> > > > > addressed to those
> > > > >                     factors (neuropsycholgical scores or volume of 
> > > > > seed) did
> > > > >                     not show a
> > > > >                     normal distribution and that cannot be trasformed.
> > > > > 
> > > > >                     Thanks
> > > > > 
> > > > >                     Kind regards
> > > > > 
> > > > >                     Stefano
> > > > > 
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