Hi Martin,

When I convert my long qdec table to a cross sectional table to analyze for
exemple percent change maps, I have some difficulties to identify my
independent factor in this case, because I don't have two groups like in
the longitudinal study (On-Off). Could you please help me to build this
cross table from my long table?

Exemple of my longitudinal table:

fsid    fsid-base       group
preJMS_007    JMS_007       ON
postJMS_007  JMS_007       OFF
preRME_063      RME_063       ON
postRME_063     RME_063      OFF
...
Thank you very much,
yolanda

2012/7/4 Yolanda Vives <yvi...@pic.es>

> Hi Martin,
>
> Thank you for your answer. I am also interested in testing your new
> scripts, if it is possible.
>
> Regards,
> Yolanda
>
>  2012/7/3 Martin Reuter <mreu...@nmr.mgh.harvard.edu>
>
>> Hi Yolanda,
>>
>> take a look at the longitudinal tutorial:
>> http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/LongitudinalTutorial
>>
>> There is a section that hints at the post-processing as far as we have
>> implemented it. Based on a longitudinal qdec table you can run
>> long_mris_slopes to create rate or percent change maps for each subject
>> and then run qdec on these for the cross sectional comparison.
>>
>> Also I can make available a newer version of that script as lots of
>> small things have changed since last year, let me know.
>>
>> Best, Martin
>>
>>
>> On Tue, 2012-07-03 at 15:58 +0200, Yolanda Vives wrote:
>> > Hi Martin,
>> >
>> > I would like to compare also a Control vs. an Experimental group
>> > (pre-post), but instead of using ROIs, I am interested in a
>> > whole-brain paired t-test analysis between the two groups. Which data
>> > should I take? Would it be possible to process ?.long.base with qcache
>> > and take the "rh.thickness.fwhm20.fsaverage.mgh" files? Or maybe could
>> > I use QDEC with ?.long.base after qcache?
>> >
>> > Thank you,
>> > Yolanda
>> >
>> > 2012/4/12 Martin Reuter <mreu...@nmr.mgh.harvard.edu>
>> >         Yes, just extract the stats on each time point as done in a
>> >         cross
>> >         sectional analysis (but instead on the ?.long.base
>> >         directories) do a
>> >         paired t (or a t on the difference) to see if there is
>> >         increase or
>> >         decrease.
>> >
>> >         If you look at one of the reported ROI's (e.g. caudate volume,
>> >         or
>> >         pre-central thickness) you can directly get the values from
>> >         the stats
>> >         files. If you have your own ROI's you need to use segstats to
>> >         get the
>> >         stats for them.
>> >
>> >         Cheers, Martin
>> >
>> >         On Wed, 2012-04-11 at 19:19 +0200, Dídac Vidal wrote:
>> >         > Hi everybody,
>> >         > I have a question about FS longitudinal post-processing.
>> >         Currently I
>> >         > obtained some corrected results comparing a Control vs. an
>> >         > Experimental group (pre-post).
>> >         > What i would like to know is if there's a thinning in the
>> >         control
>> >         > group or a increase in the thickness of the experimental
>> >         group.
>> >         > I tought in create a label and extract the individual values
>> >         of both
>> >         > timepoints and then do a t test in order to see if the mean
>> >         differs to
>> >         > 0.
>> >         > How I can do that?; There is an easier way to do it?
>> >         > Thanks in advance
>> >         >
>> >         > --
>> >         > Dídac Vidal Piñeiro
>> >         >
>> >         > Dept. Psychiatry and Clinical Psychobiology
>> >         > Faculty of Medicine
>> >         > University of barcelona
>> >         >
>> >         >
>> >
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