Dear Sarah,
I'm afraid there isn't an easier way than entering 160 sessions. If you
know a little MATLAB, then you can create a template batch with just one
session, save it as .m or .mat file and write a script that replicates
the session and fills in the correct files and realignment parameters.
Anyway, you should be aware that this fixed effects design matrix might
grow huge (depending on how many scans you have per session), and you
may or may not be able to estimate it.
Volkmar
Am Donnerstag, den 28.08.2008, 19:48 -0400 schrieb
[log in to unmask]:
> Dear spm community
>
> I have a question concerning implementing movement parameters as
> regressors in a 1stlevel group analysis (fixed effects).
>
> I have 10 subjects, each 8 runs pre treatment and 8 runs post
> treatment. I know how to include the movement parameters in a single
> subject model. So if I wanted to do the same for the whole group, it
> would give me 160 sessions, since I have to include the movement
> parameters in each run separately.
>
> Is there an easier way to do that? Is there a possibility to create
> one file with the movement parameters from all 8 runs and then model
> session based where I give the scans from all 8 runs at once? (would
> spm understand that since I would also give all the scans at once?)
>
> I am just looking for a solution in order to avoid having to model 160
> sessions.
>
> If you need any further information, please let me know.
>
> Thanks a lot in advance for your advice.
>
> Sarah Marchina
>
>
>
>
> “If the human brain were so simple
> That we could understand it,
> We would be so simple
> That we couldn’t.”
> (Emerson M. Pugh)
>
>
> Sarah Marchina
> Dept of Neurology, Palmer 127,
> Beth Israel Deaconess Medical Center / Harvard Medical School,
> 330 Brookline Ave, Boston, MA - 02215
> Phone: (617) 632 8923
> Cell: (617) 642 1191
>
--
Volkmar Glauche
-
Department of Neurology [log in to unmask]
Universitaetsklinikum Freiburg Phone 49(0)761-270-5331
Breisacher Str. 64 Fax 49(0)761-270-5416
79106 Freiburg http://fbi.uniklinik-freiburg.de/
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