hi all!
I'm performing a Hierarchical model analysis (at least I'm tring). I'm
using a summary statistics approach since the design of experiment is
equal for every subject (Am I right?)the experiment consider 10 subjects. Each subject-session have 5 scans,
3secs/scans (15 secs alltogether) under rest and 5 (15 secs) under
stimulus. 80 scans (i.e. 240 secs) alltogether.
If I well understud the summary statistics approach, I just need to
perform 10 separated analyses, one for each subjects (t 2 independent
samples, 80 scans/observations), hence a second level 1 sample t test for
10 subjects/observations. is it right?
I set the first level analysis in this way:
data: 10 analyses, total volumes=80, TR=3 high pass filter=45 (shold be
15*1.5=22.5?).Pre-stats: slice timing correction: none, motion correction: none, BET
brain extraction: ON, spatial smoothing FWHM =0 (my images are already
smoothed by SPM software), temporal filtering: Highpass=ON, lowpass=OFF,
Melodic ICA=OFF.GLM:
Evs: Numb of original EVs=1, skip=0, off=15, on=15, phase=15. I also ask
for a GAMMA convolution: phase=0, stddev=6, mean lag =3 (as default).Contrast & F-test: setup contrast & F-test for REAL EVs, contrasts=1,
F-tests=1, C1: 1, -1, F1=ON.
Am I doing OK for the first level analysis?
second step should be 1 sample t test. is it right?
I also suppose the whole analysis could be (better) done in an automatical
way in FSL. could someone address me? some tutorial for this design of
experiment or something like that?
thanks.
livio
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