Hello,
- SIENAX: gives GM, WM and CSF volumes from a cross-sectional measurement tha can be normalized to a standard skull size.
You can then perform offline-statistics with these values to comapre groups etc.
- SIENA: takes two serial scans of a subject an calculates an atrophy rate for you (one value per subject). The method basically uses brain edge voxels and analyses the change/motion of these between the two time points.
You can take the change ('flow') maps to standard space and after smoothing perform voxelwise - so here is some similarity to VBM. Best have a look at the slides linked on the FSL webpage.
- VBM: basically looks for grey (or white) matter differences between groups after normalisation to standard space. Many variations of it exist; FSL and SPM offer pipelines to to this.
Note that VBM is not identical with SPM, both the SPM and FSL platform allows the registration steps to perform VBM.
It is important to define the question you have from your data and decide for a tool/method then.
best regards,
Philipp
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