Hello,
I've run 13 subjects in an experiment (5 runs per subject) and run first-
and second-level analyses on the data in FEAT. 12 of the subjects came out
fine; the other one seemed to run fine in the first-level analysis, but at
level two, the output cope images are almost entirely zero.
We've successfully analyzed this data in SPM and NIS, so there doesn't seem
to be anything drastically wrong with the raw data.
Any idea why this is happening, or how we can rescue this subject for our
FSL analyses? Thanks for any help you can provide.
-- Erich
P.S. Here's the report_log.html from one of the cope##.feat directories
within the second-level gfeat:
*****
Progress Report / Log
Started at Mon Oct 5 02:34:56 EDT 2009
ln -s ../.files .files
__________________________________________________________________
Higher-level stats
cat ../design.lcon | awk '{ print 8 }' > design.lcon
/usr/memlab/fsl/bin/flameo --cope=filtered_func_data
--vc=var_filtered_func_data --dvc=tdof_filtered_func_data --mask=mask
--ld=stats --dm=design.mat --cs=design.grp --tc=design.con --runmode=fe
Log directory is: stats
Setting up:
ntptsing=5.000000
evs_group=1.000000
No f contrasts
WARNING: The passed in varcope file, var_filtered_func_data, contains voxels
inside the mask with zero (or negative) values. These voxels will be
excluded from the analysis.
nevs=1
ntpts=5
ngs=1
nvoxels=593
Running:
nmaskvoxels=593
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53
54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78
79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
Saving results
Log directory was: stats
/bin/rm -f stats/zem* stats/zols* stats/mask* ; /bin/mv dof stats
/usr/memlab/fsl/bin/smoothest -d 4 -m mask -r stats/res4d > stats/smoothness
WARNING: Extreme smoothness detected in X - possibly biased global estimate.
WARNING: Extreme smoothness detected in Y - possibly biased global estimate.
WARNING: Extreme smoothness detected in Z - possibly biased global estimate.
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