AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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Prantik Kundu
January 07, 2008 02:15PM
Hi guys,

Happy New Year, all.
When I try to adwarp a functional dataset in subject-space to its TT-normalized anatomical volume, adwarp starts generating a massive dataset which I have to cancel. This is a known issue, and requires mapping a voxel from a spatially normalized activation map back to a corresponding location in the subject space on a per-voxel basis with adwarp. It works, but its tedious and not robust.
Instead of doing that, I discovered the joys of FreeSurfer/SUMA mapping, and its amazing for cortical stuff.
However, as far as I know, FS can't parcellate and construct surfaces for basal ganglia and deep nuclei. If this is true, then tlrc'ing is the only option for these regions, right?
If so, is there any way to get around the problem of having insanely large spatially normalized functional datasets?

-Prantik

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Subject Author Posted

spatially normalize/auto_tlrc a full EPI dataset

Prantik Kundu January 07, 2008 02:15PM

Re: spatially normalize/auto_tlrc a full EPI dataset

rick reynolds January 07, 2008 02:43PM