Hi Pedro - The point-wise stats from tracula are a 1D sequence of values, so they cannot be analyzed with functions that work on 2D data on the surface or 3D data in the volume. At present, you'd have to do a seperate analysis for every point along the tract. It's on my list to implement a more comprehensive and principled solution for this and will hopefully get around to it soon!
BTW, the diffusion measures are extracted by tracula in the native space, not in a template space. An average path in template space is produced in case you want to visualize something on an average brain, but all the pointwise and average FA/MD/etc values are extracted in the native DWI space of each subject.
Best, a.y On Sun, 5 Jul 2015, Pedro Rosa - GMail wrote:
Dear Developers, Tracula’s Statistics wiki suggests one to use the statistical software of choice. Could it be glmfit? For that, I think I would need to concatenate each tract-by-voxel diffusion data from each subject (e.g., each diffusion data of course separately) in common space (e.g., MNI) and then input it to mri_glmfit / mri_glmfit-sim, whose output sig.mgh would be loaded in Freeview as a heatmap. I understood that diffusion data in Tracula is saved in .txt files, which cannot be inputed into mri_preproc or mri_label2vol. Is it possible to use glmfit with Tracula outputs? Thanks in advance, Pedro Rosa.
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