External Email - Use Caution
Thanks for your replies Doug! I copied the previous messages below, since I
did not menage to retrieve the original email.
1) Thanks.
2) Regarding question number 2, yes that was what I meant.
3) I ran the task analysis and extracted time series from unwhitened
residuals by mri_segstats, upon a specific segmentation. I was thinking now
of a correlation matrix by Pearson's coeff. Any further suggestions?
Also, I've got a pheraps silly question:
- When running a task analysis, I could specify -taskreg and -nuisreg
separetly. My assumption is that only -nuisreg are regressed out from the
data and that the residuals saved got task-related bold signal. Is it
correct?
- If so, could I use task regressors as -nuisreg to get a "pseudo" resting
state?
Hoping all question are clear,
Thanks for your patience,
Alice
Dear FreeSurfer experts,
I'm interested in performing a functional analysis on task-based data. I
was taking as an example the "FsFastFunctionalConnectivityWalkthrough"
tutorial but, if I got it correctly, is specific for resting state data.
So I've got some doubts and questions:
1) Given the steps described in the above mentioned tutorial, the file
"pcc.mgz"
generated in the session folder gives me the correlation strength between
the time series of each voxel and the seed (L_Posteriorcingulate in the
tutorial)?
Yes, correct
2) If I want to make a functional analysis on task data, similar to the one
described in that tutorial, could I just add the -event-related option
instead of -notask option? (mkanalysis-sess -analysis
fc.lpccseed.surf.lh -surface fsaverage lh -fwhm 5* -notask* -taskreg
L_Posteriorcingulate.dat 1 -nuisreg vcsf.dat 5 -nuisreg wm.dat 5
-mcextreg -polyfit 5 -nskip 4 -fsd bold -TR <TR>)
Do you mean you want to do a simultaneous analysis of the task and the
connectivity?
I just tried what you suggested and it looked like it worked.
3) Otherwise, does it make sense to you If I run a simple task analysis to
regress nuisances out (without seed region), extract time series and get
the pair-wise correlation with Pearson coefficient?
This is possible, and makes sense. It is a little difficult to do, but not
terrible. If you want to go this route, you would need to first analyze
your task data as task without FC, specifying -svres-unwhitened to save the
residuals. Let me know when you get to that point and I can push you
further.
Hoping my questions are clear,
Thanks a lot for your patience and help,
Alice