Dear Steven,
this is just a guess as I have not really looked into the code of
spm_peb_ppi lately to check how PPI.Y is assigned. But you problem sounds
somewhat similar to a problem that I discussed with Darren some time ago.
It also manifested itself with a vector if NaNs, but I don't remember if
they were in PPI.Y.
Maybe if you read the entire thread of which this message
http://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind06&L=SPM&P=R384994&I=-3
is a part of, you might get an idea of what to change in your code, i.e.
you might have to change spm_regions as mentioned in the thread and
recompute your VOIs.
Good luck,
Jan
Steven Berman wrote:
> Dear SPM2 mavens,
> We are trying to do a PPI analysis, but all the PPI.Y values show up as
> NaNs. This same data produced good PPI files after an earlier SPM2
> analysis, and those VOI.Y values were copied into the PPI.Y array as
> expected. However, with our current improved SPM2 analysis of the same
> data (the one we are now using), the PPI.Y values are all NAN. Since the
> VOI.Y values look fine, as do the PPI.P and PPI.ppi arrays, we cannot
> understand why PPI.Y did not copy the reasonable values we see in the
> VOI file into PPI.Y.
>
> Thanks For Your Help,
>
> Steven Berman, Ph.D.
> UCLA Division of Digestive Diseases, Psychiatry and Brain
> Research Institute
> Center for Neurovisceral Sciences & Women's Health (CNSWH)
> Greater Los Angeles VA Healthcare System, Bldg. 115/CURE
> 11301 Wilshire Blvd., Los Angeles, CA 90073
> Tel. (310) 478-3711 Ext.40696 or 206-1423 Fax: (310) 825-1919
> Laboratory of Molecular Neuroimaging: (310) 825-0606
>
> http://ibs.med.ucla.edu
> <http://ibs.med.ucla.edu/> http://uclamindbody.org
> <http://uclamindbody.org/> http://www.bri.ucla.edu
> <http://www.bri.ucla.edu/>
> http://london.npih.ucla.edu/research-fac.html
>
--
Jan Gläscher, Ph.D. Div. Humanities & Social Sciences
+1 (626) 395-3898 (office) Caltech, Broad Center, M/C 114-96
+1 (626) 395-2000 (fax) 1200 California Blvd
[log in to unmask] Pasadena, CA 91125
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