Hi,
I would like to find out how to pool parcellation statistics (i.e. ?.aparc.stats table entries) from several areas into a bigger one. For example: how to get the pooled statistics for the area "parietal" which would be made up of "superiorparietal" and "inferiorparietal" cortical structures? Calculating pooled values for things like GrayVol, SurfArea seem rather straightforward (by summing of course) but not so for ThickAvg, ThickStd, MeanCurv, GausCurv, FoldInd and CurvInd. First, should they be pooled using the area or the number of vertices? Second, how should they be pooled? For ThickAvg and MeanCurv I guess it's an area- (or NumVert- ?) weighted mean and for ThickStd maybe a NumVert-weighted pooled SD but not sure whether it's also a (weighted) mean for GausCurv, FoldInd and CurvInd? Please help!
Thank you,
Zsolt
Hi Zsolt, you can use mri_annotation2label to separate the annotation into labels, then mri_mergelabels to recombine several of them together, then run mris_anatomical_stats on the merged label. doug
On 09/25/2012 08:34 AM, Zsolt Cselényi wrote:
Hi,
I would like to find out how to pool parcellation statistics (i.e. ?.aparc.stats table entries) from several areas into a bigger one. For example: how to get the pooled statistics for the area “parietal” which would be made up of “superiorparietal” and “inferiorparietal” cortical structures? Calculating pooled values for things like GrayVol, SurfArea seem rather straightforward (by summing of course) but not so for ThickAvg, ThickStd, MeanCurv, GausCurv, FoldInd and CurvInd.
First, should they be pooled using the area or the number of vertices?
Second, how should they be pooled? For ThickAvg and MeanCurv I guess it’s an area- (or NumVert- ?) weighted mean and for ThickStd maybe a NumVert-weighted pooled SD but not sure whether it’s also a (weighted) mean for GausCurv, FoldInd and CurvInd?
Please help!
Thank you,
Zsolt
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