Dear SPM list subscribers,
I've done an analysis on motor data using both the classical approach
and Bayesian inference. The results show a greater number of activated
voxels and volume covered using Bayesian inference at the second level.
The puzzling thing, however, is that for the classical SPMs I get
significant activations in the brainstem, whereas, PPMs show no
activations at p > 0.95 above one a priori standard deviation.
If I lower p to 0.90 then I see something which matches the SPM output,
but I'm not really happy with the choice of this probability value.
Does anybody know why I get no activations in the brainstem unsig
Bayesian inference?
Looking forward to your answers.
Regards,
Glad
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Glad MIHAI, M.Sc. Biomedical Physics
Functional Imaging | University Clinic Greifswald
Walther-Rathenau-Straße 46 | 17475 Greifswald | Germany
Tel: +49 3834 86 69 44 | Fax: +49 3834 86 68 98
www.baltic-imaging-center.de
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