fMRI-CPCA can provide a network-based HDR shape for each subject, and
these can be statistically tested, so you wouldn't need to go back to
the first level.
http://www.cnoslab.com/cpca.html
http://www.nitrc.org/projects/fmricpca
Todd
--
Todd S. Woodward, Ph.D.
Cognitive Neuroscience of Schizophrenia Lab (CNoS)
http://bcchr.ca/our-research/researchers/results/Details/todd-woodward
http://www.cnoslab.com/donate.html
604-875-2000 x4724
*****
Professor
Department of Psychiatry
University of British Columbia
BC Mental Health and Addiction Research Institute
Vancouver, Canada
On Fri, Dec 16, 2016 at 2:41 AM, Aser A <[log in to unmask]> wrote:
> Hi all,
>
> I have a design that has a visual stimulus every 30 seconds. I am interested
> in knowing the actual HRF and use it as a subject specific function to be
> convolved. Is it possible to use the FIR modelling to measure this. If so
> how ? or should I just measure the raw signals. Also is there a way of
> smoothing the raw signals as it seems a bit noisy.
>
> Then how I can insert the measured hrf in the first level model to be used
> for convolution instead of the canonical function?
>
>
> Regards,
>
> Aser
|