Hi Freesurfers,
I am using preproc-sess in Freesurfer/Fsfast 5 with per-run motion correction (these subjects have a lot of between-run motion), and I want to analyze the volumes in each subject's individual space (I'd prefer native functional space, but I am happy to do it in each subject's anatomical space). Do preproc-sess, mkanalysis-sess, or selxavg3-sess have any built-in flags that would automatically align the functional volumes using the 6 rigid parameters generated from bbregister? Or do they have a built-in way to align and to upsample the functional volumes to the subject's anatomical space (not the surface)? I am happy to upsample each run's functional volume to anatomical space with an mri_vol2vol call, and then to estimate my glm with selxavg3-sess on these volumes. But I figure there may be some flags that do this automatically. I've looked through the documentation and I haven't found these flags. Is this possible to do automatically?
Thanks, guys!
Alex
Kanwisher Lab Manager McGovern Institute for Brain Research MIT
Hi Alex, analyzing in the anatomical space is going to be very, very costly in terms of space and memory (and I don't really have a way to do it). It is probably better to do it in mni305 space and turn off the masking out of cortex (-no-subcort-mask). You can then run reg-mni305.2mm to create a registration from mni305 2mm space to your subject's anatomical and then go from there.
doug
Alex Kell wrote:
Hi Freesurfers,
I am using preproc-sess in Freesurfer/Fsfast 5 with per-run motion correction (these subjects have a lot of between-run motion), and I want to analyze the volumes in each subject's individual space (I'd prefer native functional space, but I am happy to do it in each subject's anatomical space). Do preproc-sess, mkanalysis-sess, or selxavg3-sess have any built-in flags that would automatically align the functional volumes using the 6 rigid parameters generated from bbregister? Or do they have a built-in way to align and to upsample the functional volumes to the subject's anatomical space (not the surface)? I am happy to upsample each run's functional volume to anatomical space with an mri_vol2vol call, and then to estimate my glm with selxavg3-sess on these volumes. But I figure there may be some flags that do this automatically. I've looked through the documentation and I haven't found these flags. Is this possible to do automatically?
Thanks, guys!
Alex
Kanwisher Lab Manager McGovern Institute for Brain Research MIT
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