Dear FSLers,
I am trying to do a longitudinal TBSS study (so far I have only a
pilot data of 6 measurements of one subject). I would like to
correlate the FA changes with three clinical scales. The question is
"where FA can be explained by one of the scales or by the combination
of all three". I tried the design as pasted at the end of this mail.
Is my approach correct ? I ran randomise on that and only received
some clusters on f1 contrast, but only "uncorrected". I backprojected
those clusters to the original space after segmening them (taking only
clusters of three or more voxels) and took only voxels, which were
correctly back-projected and the results seem reasonable to me. I am
not sure whether TBSS could be used this way (being MD and not a
full-grown statistitian), what are the opinions ? Or is TFCE a kind-of
dogma ?
Thank you for replies
George
Design:
--MAT--
/NumWaves 3
/NumPoints 6
/PPheights 2.600000e+01 5.700000e+01 1.800000e+01
/Matrix
0.000000e+00 4.000000e+00 0.000000e+00
1.000000e+01 2.500000e+01 2.000000e+00
2.400000e+01 3.500000e+01 1.000000e+01
2.600000e+01 4.500000e+01 1.700000e+01
1.600000e+01 5.000000e+01 1.800000e+01
2.000000e+01 5.700000e+01 1.700000e+01
--CON--
/ContrastName1 RMean
/ContrastName2 NMean
/ContrastName3 Vmean
/NumWaves 3
/NumContrasts 3
/PPheights 1.505706e+01 2.234061e+01 8.372717e+00
/RequiredEffect 199.531 211.371 207.134
/Matrix
1.000000e+00 0.000000e+00 0.000000e+00
0.000000e+00 1.000000e+00 0.000000e+00
0.000000e+00 0.000000e+00 1.000000e+00
--FTS--
/NumWaves 3
/NumContrasts 2
/Matrix
1 1 1
0 1 1
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