Hi
You can simply use Glm (or GLM_gui on a mac) to create the design and contrast matrix and then use randomise for test this design on your data.
hth
Christian
On 24 Jun 2011, at 13:30, Eric Fine wrote:
> Hi,
>
> I've seen a few post regarding seed-based resting-state analyses and I was just looking for a bit more detail.
>
> I've already extracted the timeseries for various seeds of interest, plus nuisance variables (CSF, white matter, global mean signal). I want to do two things: (1) correlate the timeseries between two seeds, after regressing out the nuisance variables plus motion parameters; and (2) create whole-brain correlation maps for one seed, again regressing out nuisance variables.
>
> I am assuming fsl_sbca would work for this, but I'm still unsure about the specific options I'd use.
>
> Thanks in advance for the assistance.
>
> Best,
>
> Eric
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