In your case you have HC listed first, so red/yellow means HC>SAD, blue 
means SAD>HC
doug





On 10/29/2013 11:03 PM, Ashley Shurick wrote:
> Hi Doug,
>
> Apologies, but I have a rather easy follow-up question that I can't 
> figure out:
>
> How do you interpret the effect in each significant region? A previous 
> post suggests using ctrl + left mouse click on a blob and examining 
> the plot of the data. However, for the model I am looking at ("Does 
> the thickness-ERQ correlation differ between HC and SAD?") I still 
> can't determine if cortical thinning represents HC<SAD or SAD<HC. I'm 
> attaching a representative plot here.
>
> Thank you,
>
> Ashley
>
>
> On Tue, Oct 29, 2013 at 10:25 AM, Ashley Shurick 
> <ashley.shur...@gmail.com <mailto:ashley.shur...@gmail.com>> wrote:
>
>     Thank you!
>
>
>     On Tue, Oct 29, 2013 at 10:19 AM, Douglas N Greve
>     <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>
>         On 10/29/2013 01:10 PM, Ashley Shurick wrote:
>         > Hi all,
>         >
>         > I'm running analyses in Qdec and want to verify a few things:
>         >
>         > 1. When comparing two groups (HC vs patients) I am including
>         mean
>         > cortical thickness as a covariate, using the following equation:
>         >
>         >
>         > bh.thickness = (lh.thickness*lh.surfarea +
>         rh.thickness*rh.surfarea) /
>         > (lh.surfarea + rh.surfarea)
>         >
>         >
>         > Is this the best way to calculate global mean thickness?
>         Yes
>         >
>         >
>         > 2. I want to regress out any effects of age, therefore I need to
>         > demean the ages for my groups as a whole, and not perform this
>         > calculation on each group separately, correct?
>         Yes, in which case the test of the difference between groups
>         will be
>         done at an age equal to the mean of the ages.
>         >
>         > 3. I'm including questionnaires as a covariate of interest -
>         do I need
>         > to demean these values as well?
>         When you do a test on a continuous covariate, that test will be
>         unaffected by demeaning of the covariate. Demeaning will
>         affect the
>         difference between groups if you use a separate covariate for each
>         group. If you have a single covariate across groups, demeaning
>         will have
>         no effect.
>
>         doug
>         >
>         >
>         > Thank you in advance for your help!
>         >
>         >
>         > Ashley
>         >
>         >
>         > --
>         > Ashley A. Shurick
>         > Ph.D. Candidate
>         > Department of Psychology
>         > Stanford University
>         >
>         >
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>         --
>         Douglas N. Greve, Ph.D.
>         MGH-NMR Center
>         gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

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