Hi Lanbo,
the first command computes the slope of within-subject linear fits (the rate,
so the unit is mm/time). You use —generic time which means that the time is 1 2
3 … It is better to put the real time, e.g. in years for a longitudinal study.
the second command is a one-sample-group-mean (OSGM) analysis to test whether
the slopes are significantly different from zero. The sig.table.dat shows the
significances (log 10 , so 1 is p=0.1, 2 is p=0.01 etc, with a sign showing the
direction).
Now if you look at regular aging and if you have enough subjects and wait for a
year or two all regions in the brain should show significant atrophy. So the
OSGM is not very interesting usually. For a real study you usually need two
groups (diseased vs control, or drug vs no-drug)
Best, Martin
> On 27. Oct 2017, at 20:13, lanbo Wang wrote:
>
> Dear freesurfer group,
>
> Hi!
> I used long_stats_slopes and code to process my longitudinal data:
> long_stats_slopes --qdec sub_qdec_long.dat --stats lh.aparc.stats --meas
> thickness --sd $SUBJECTS_DIR --do-rate --generic-time --stack-rate
> thickness.lh.aparc-rate.stack.txt
> mri_glmfit --osgm --glmdir thickness.lh.aparc-rate --table
> thickness.lh.aparc-rate.stack.txt
> I got results sig.table.dat in folder of 'thickness.lh.aparc-rate'. I want to
> ask what's meaning of this results. Is it the significant results or just
> directly result?
>
> All best,
> Lanbo Wang
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