Dear multiprogram knowing ones,
we have done a paradigm with a long 18s reading phase followed by a short
decision phase. There were different conditions which only differed in the
last third of the reading and of course in the decision phase. We used 3 6s
regressors for the reading phase and an event regressor for the decision to
work out differences in the last reading phase and the decision phase.
A reviewer wants us to model the whole reading phase at once using the
deconvolve function of BrainVoyager or AFNI: "Deconvolving would allow the
authors to model the trial as single event in the GLM without assuming a
The help page to AFNI's 3dDeconvolve states: "Additional output consists of a
3d+time dataset containing the estimated system impulse response function."
This sounds like FIR-modeling in SPM to me. Can anybody using BV or AFNI
second this opinion.
If not, what is BVs or AFNIs deconvolve in terms of SPM. I believe the
deconvolve of SPM's PPI is using a given HRF or am I wrong here too?
Dr. Roland Marcus Rutschmann <[log in to unmask]>
Institute for Experimental Psychology, University of Regensburg
Universitätsstraße 31, 93053 Regensburg, Germany
Tel: +49 941 943 2533, Fax: +49 941 943 3233