Dear FreeSurfers,

 

I'm getting odd results from mri_volcluster-the max voxel listed for a given
cluster often does not appear to actually be the max in that cluster. This
most often appears to happen with small clusters and negative significance
values.

 

Below is an example made with abs threshold = 3 and minsizevox = 12 (note
that I'm plotting the output from mri_volcluster here, not the raw data, so
all the depicted voxels have passed the threshold/cluster requirement). The
cursor is at the max voxel as listed by mri_volcluster (significance value
is -3.31). However, as can be seen in the example, there is a more
extreme/significant value just two voxels over (laterally)-the value there
is -4.03.

 



 

 

Below is a second example from the same analysis. In this case, I have the
cursor on a voxel whose significance value is -5.39. The problem is that
mri_volcluster does not list a max voxel with such a significant value-the
largest (negative) significance value listed is -4.09.

 



 

When I first saw things like this I was looking at the raw data, and assumed
I was seeing highly significant voxels that were not part of a large enough
cluster to meet my minimum voxel size requirement. But the plots shown here
were outputted by mri_volcluster using those thresholds (12 voxels, thmin =
3), so that can't be the problem.

 

Am I doing something incorrect here and/or mis-reading the results of
mri_volcluster? Any thoughts/advice would be appreciated. I have seen a few
cases of this, not just the ones I'm showing here. Again, it seems to come
up most frequently for smaller clusters and with negative significance
values, although that just may be when it's most obvious to me.

 

Here's the command I used to generate the output for the examples:

 

mri_volcluster --in
FPP_HiRisk_MC_375/bold/FPP_MCReg_8_23/tal-rfx/Rcue_v_RSF/sig --in_type
bfloat --reg FPP_HiRisk_MC_375/bold/FPP_MCReg_8_23/tal-rfx/register.dat
--thmin 3 --minsizevox 12 --out Test_FPPHiRisk_MC375_Rc_v_RSF --out_type
bfloat

 

Thanks in advance.

 

Dan Dillon

Affective Neuroscience Lab

Harvard University

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