[VoxBo] Question about FIR analysis for event-related designs

[Lila Chrysikou]

Hello everyone,

I am trying to analyze data from an event-related design using an FIR
analysis. I am interested in examining differences between two experimental
conditions relative to a perceptual baseline task. My experimental
conditions have a duration of 4TRs, whereas my Baseline has a duration of
2TRs.
While setting up my GLMs, a couple of questions came up:

1) After introducing the diagonal set as a condition of interest, I have
selected each experimental condition and the perceptual baseline separately
and subsequently modified each selection with the appropriate TR for each
covariate type (i.e., 4 TRs for each experimental condition, 2TRs for the
baseline). Is that correct?

2) If my model includes other covariates for which I am not interested
regarding the FIR, can I leave them as is?

3) I noticed that voxbo automatically generates an additional covariate (0);
what does this covariate correspond to? Should one instead enter the FIR TRs
as n-1 to account for this?

I haven't been able to find much information on FIR analysis on the mailing
list; if anyone has additional details/advice/recommended readings that
wouldn't mind sharing, it would be greatly appreciated.

Many thanks in advance,

~Lila

-- 
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Evangelia G. Chrysikou, Ph.D.
Post Doctoral Research Fellow
Thompson-Schill Lab

Center for Cognitive Neuroscience
University of Pennsylvania
Office address: 3810 Walnut St.,Room 307, Philadelphia, PA 19104
215. 573.6726 (phone)
215. 898.1982 (fax)
E-mail: evangelg at psych.upenn.edu
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