I see. You are saying that the interpretation can be made in two ways:

blue/cyan = 

the cortical thinning effect of Age is stronger in patients (vs. controls)

Or, the cortical thickening effect of Age is stronger in controls (vs. patients)

Thanks, Doug!
Daniel

-- 
Daniel (Yung-Jui) Yang, Ph.D.
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
Tel: (203) 737-5454
E-mail: yung-jui.yang@yale.edu

On 2/17/14 9:55 AM, "Douglas Greve" <greve@nmr.mgh.harvard.edu> wrote:


Yes, you should see cyan. Note that you would see cyan if group1 slope is 0 and group 2 slope is positive. Probably not a problem with age, but it is just something to think about.
doug




On 2/17/14 1:38 AM, Yang, Daniel wrote:
Dear FreeSurfer developers and experts,

If I have a binary factor (Group1: patients, Group2: controls) and a continuous variable (age), I know I can follow Contrast2 in the following wiki to test the interaction effect.


Contrast2: [0  0  1  -1]  tests if Age slope in patients (Group1) > controls (Group2), and if Age slope_Group1 - Age slope_Group2 > 0, I can see red/yellow.
For example, cortical thickening is accelerated in patients (vs. controls).

I am wondering how I can test for whether cortical thinning is accelerated in patients (vs. controls)?

Here, the slope for Age would be negative. And if cortical thinning is accelerated in Group1 (vs. Group2), I should observe Age slope_Group1 < Age slope_Group2, that is, Age slope_Group1 - Age slope_Group2 < 0, thus, I should expect to see blue/cyan?

Best,
Daniel

-- 
Daniel (Yung-Jui) Yang, Ph.D.
Postdoctoral Researcher
Yale Child Study Center
New Haven, CT
Tel: (203) 737-5454


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