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Hi Doug,
I am referring to deconvolution in the SPM sense, where they use (something
like) ridge regression to get an estimate of neuronal activity from the
measured BOLD response.
The idea is to use that neural time series to construct predictors for a
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
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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
