Hi Jared
I think you description is accurate, but I believe we compute the
distances both ways then average them, making it symmetric. As to surfae
area corrections, I guess that kind of depends on what you care about.
cheers
Bruce
On
Wed, 5 Sep 2018, Zimmerman, Jared wrote:
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Hi Freesurfers,
I’m using mris_compute_parc_overlap to compare the similarity between two
parcellations and I’m curious about how the average minimum distance
measurement is calculated.
The help text for the function says “… a table of mean minimum distances
between corresponding labels.” My questions are 1) what set of measurements
is being meaned here, and 2) what exactly is the measurement. My current
interpretation is that for every vertex in annot1 the minimum distance to a
vertex in annot2 with the same label is calculated such that overlapping
regions have a distance of zero. The mean is then calculated over these
distance measures for all vertices in a given label.
If this is true, do you recommend doing any subject level corrections?
Seems like subjects with larger cortical surface areas would be biased to
have larger distances.
Thanks,
Jared
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