Hello, 

I'm comparing 2 independent meta-analysis on MRIcroGL. I can assign the activations from each independent meta-analysis different colours (e.g. blue, red) to compare the activations, but it's difficult to see their overlapping activations accurately. How can I assign the overlapping activations from both meta-analysis a third colour (e.g. green) so that I can visualise the activation commonalities between the two independent studies?

Such that I would be able to visualise (i) areas that show unique activations from the 2 meta-analyses in blue and red (i.e. no shared activation across meta-analyses), and (ii) common overlapping areas activated across both meta-analyses in green.

If I cannot to do this on MRIcroGL, can this be done on MRIcron? 

Thank you in advance!

In the "Layers" panel, click on the "Options" pull down menu and toggle "Additive Overlay Blending". With additive colors, red plus green will look distinctly yellow
   https://en.wikipedia.org/wiki/Additive_color
For Python scripts, you can use the overlayadditiveblending() function. For example, choose the Scripting/New function and paste the code below:



import gl
gl.resetdefaults()
gl.loadimage('spm152')
gl.overlayadditiveblending(1)
gl.overlayload('spmMotor')
gl.minmax(1, 4, 4)
gl.colorname (2,"1red")
gl.overlayload('spmMotor')
gl.minmax(2, 2, 2)
gl.colorname (2,"2green")
gl.orthoviewmm(37,-14,47)

This worked. Thank you for helping!