When you say deconvolution, what do you mean exactly? There is an FIR model
(finite impulse response) that will extract the hemodynamic response without
any assumptions, ie, the signal average at stimulus onset, the signal average
at 1TR post onset, the signal average at 2TR post onset, etc.
On 8/9/2019 7:10 AM, Caspar M. Schwiedrzik wrote:
External Email - Use Caution
Hi!
I was wondering whether it is possible to do deconvolution of an fMRI time
series with FSFAST?
Specifically, I would like to get a deconvolved signal from a region of
interest to prepare predictors for a PPI analysis.
Additional considerations: data is from an event-related design, and was
acquired with MION contrast agent.
I found some older documentation on selxavg2, but I am not sure whether that
still applies (I am using version 5.3). Also, I do not need an event-related
average as output, but a continuous time series.
Thanks for any advice!
Caspar
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu<mailto:Freesurfer@nmr.mgh.harvard.edu>
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
