Hi Viola, those stats tables are unrelated to your map-based exploratory analysis. If you have clusters in your map, you should run the correction for multiple comparisons. This will give you significant clusters. It will also produce a table of mean thicknesses in each cluster for each subject which you can then import to SPSS. doug
On 07/19/2012 04:35 PM, Oertel, Viola wrote:
Yes. I did the contrast pat. vs. cont and see some significant regions on the display. After that, I did this "generate" stats table. My idea was to put this scores into SPSS and run the inferential statistics there. But I am not sure which table I have to use. What I want to use are the thickness values of each participant of all significant regions which I can see on the template. Currently, I am not sure what kind of regions the tables show? Are that all regions, only the significant ones of the specific contrast I compute? I have seen that both tables show different regions. But I currently don't how the selection works.
May you help with that?
Thanks and best regards,
Viola
Von: freesurfer-bounces@nmr.mgh.harvard.edu [freesurfer-bounces@nmr.mgh.harvard.edu]" im Auftrag von"Douglas N Greve [greve@nmr.mgh.harvard.edu] Gesendet: Donnerstag, 19. Juli 2012 17:30 Bis: freesurfer@nmr.mgh.harvard.edu Betreff: Re: [Freesurfer] stats
Those stats tables just gives statistics (means, standard deviations) for thickness in different regions. They do not have inferential statistics. Have you run an analysis on patients vs controls? doug
On 07/19/2012 09:27 AM, Oertel, Viola wrote:
Dear Doug,
I have a question: when I create the stats tables, there are two tables:
lh.aparc.a2005s.thickness.stats and
lh.aparc.thickness.stats
which one is the right one if I want to get the thickness values of the significant clusters from the main effect (pat. / controls)?
Thanks and best regards,
Viola
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