Hi. Does fat_mvm_prep.py have a sibling for use with 3dLME (i.e., fat_lme_prep.py)? I have some data that would fit like a glove onto such a pipeline: repeated behavioral auditory arousal thresholds during all-night fMRI sleep studies. I can guarantee at least homemade Italian amaretti cookies (gluten free, dairy free) to the writer of such a helpful script.
P.S.: Would the -part_corr option to 3dNetCorr be the appropriate option to use in such a pipeline? It seems the input to 3dLME should be unstandardized regression coefficients (i.e., the PC-betas described in the -part_corr option help text).
Hi. Greetings from Charlotte! I used 3dLME for one region’s connectivity maps, and it worked great! I presented it yesterday at the annual Sleep meeting, which is a joint meeting of the Sleep Research Society and American Academy of Sleep Medicine.
I took the absolute values of the unstandardized regression coefficients and correlated them with auditory arousal thresholds determined periodically throughout the night. I modified
and showed the eff Z subbrick for the quantitative variable: auditory arousal threshold. See attached for a few highlights, a few with some appropriate AFNI citations, from the presentation.
Did I ask for too much? Should I instead write code to iterate over all seed regions? I would be open to discussing coauthorship on the paper if I asked for a lot of work and did not realize it.
I actually started writing functionality for this back in August, 2021, but then got sidetracked by other things. So, it is not impossible, it is just that the past month + looming OHBM make things a bit difficult to schedule immediately. I will revisit this, though.
Thanks!!! It’s not urgent. Just good to know that it’s possible and on one of the burners.
Hi. How are you?
I have made substantial progress on the auditory arousal threshold manuscript that initially spawned this request. The methods, results, figures, tables, and references are about 70% finished (e.g., single seed region results with blurring, effect of physiological preprocessing approach on the single seed region data, etc.). I am now at a point where there is not as much to do until the fetal fat_lme_prep.py program is birthed. Would you be willing to help me with that? I would deeply appreciate it.
OK, let’s chat about what can be done. I will email you offline.