Hi - probably the easiest thing is just to generate a fake dataset
using this timeseries - eg use the matlab tools to generate a 4D
dataset with say a few centre voxels containing the same timeseries
(plus a nonzero mean) and then a few empty voxels round the outside,
then use save_avw to save to nifti file.
Cheers, Steve.
On 18 Mar 2006, at 05:00, Lu Yuefeng wrote:
> Ladies & Gents,
>
> I am sorry if the following question has been asked before. I
> simply can't find from the achives of this mailist.
>
> I know how to and have used "feat" to estimate the HRF's over a
> whole brain. I am wondering whether FSL can do the deconvolution
> for single time series when stimuli are given, and how.
>
> It looks to me "feat" might not be able to do this, since it have
> used the "susan" algorithm, which uses local voxels, to estimate
> noise covariance. I guess flim_gls may be the right tool but I
> couldn't find enough help information on how to use this.
>
> Any information would be highly appreciated!
>
> Yuefeng
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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
[log in to unmask] http://www.fmrib.ox.ac.uk/~steve
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