Hi,
I am new to Caret, and I have an activation image that I've tried rendering 
both in Caret and in MRIcron.  One large cluster of interest from our study is 
largely in the left inferior frontal gyrus (VLPFC), but the cluster seems to 
extend into middle frontal gyrus (DLPFC).  

The thing that seems somewhat strange is that in the MRIcron rendering, the 
cluster appears to only barely crosses the border from IFG into MFG, with the 
vast majority of the cluster appearing in IFG.  In the Caret rendering, the 
cluster is shown as extending through a fairly large portion of the ventral 
surface of the MFG.  These different renderings would lead to somewhat 
different interpretations of our results, and I'm not sure at this point which 
rendering is a better representation of our data.

So I guess my question for this list is about what the goal of Caret is.  
Specifically, is it actually intended to provide a more accurate mapping from 
the slices to the brain surface, compared to a tool like MRIcron (which seems 
to use a simpler algorithm in rendering)?  Or is it just intended to provide 
more realistic-looking renderings, without necessarily having a better 
correspondence between the raw image and the 3-D rendering than MRicron?

Any advice or suggestions that you have on this would be very helpful.

Many thanks,
Michael

--
Michael S. Cohen, M.S., C. Phil
Graduate Student
Department of Psychology
University of California, Los Angeles


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