Print

---

Hi Steve.

I'm hoping to interrogate a .gfeat/cope#.feat directory, comprising .feat
directories of 62 subjects, using featquery.  In particular, I'd like to
extract cope values and %signal change for each subject within the queried
ROI (both at the max voxel and averaged across the ROI) over the course of a
run.  I suspect the following is correct, but please help me to confirm or
to understand what I've got wrong:  

1) max_cope_ts.txt contains the cope values for each subject at the peak
voxel within the ROI in the .gfeat/cope, and the 62 individual subject
values are listed in the top-to-bottom order in which I selected the
individual subjects' .feat files in the GUI when computing the
.gfeat/cope#.feat)?  Do these values represent the max height that voxel
reaches for each subject, or the average height of that voxel across the run
for each subject?  

2) mean_mask_ts.stat contains the cope values for each subject, where each
of these values is the result of averaging across all voxels in the ROI and
then averaging across all timepoints of the run.  When I run featquery on
the .feat directory for the first subject, the stats/cope value I get in the
"mean" column does not match the first value in the mean_mask_ts.stat file
produced in my group-level featquery (i.e., the one interrogating the
.gfeat/cope#.feat directory).  It seems likely that this is because the
"mean" column represents the average value for the peak voxel across the
run, rather than the average value of all voxels in the ROI averaged across
the run. 

3) The "convert PE cope values to %" option only converts the values in the
reported table, not the raw data (and therefore not the values for
individual subjects in the group-level featquery).  Is there a good way to
extract % signal change values for individual subjects in the group-level
featquery?

Thanks and regards,

Terry