Hi Jane,
Following Volkmar's answer, I think Christian Gaser's vbm2 toolbox
provides a t->r transformation compatible with spm2:
http://dbm.neuro.uni-jena.de/vbm/threshold-and-transform-spmt-maps/
Best,
Ged.
E Jane wrote:
> Hello SPMers,
>
> I am working on analyzing resting state data using SPM2. I have created
> and estimated a design matrix by using a ROI time-series as userdefined
> regressor. I have defined other regressors to account for other
> possible noise sources in the data. Defining a contrast such as +1 (for
> the ROI timeseries and 0 for other regressors), I would be able to tease
> out correlations of the ROI with other voxels. Such a contrast would
> give me the cross correlation between the ROI and other brain voxels,
> right? How could I get the actual cross correlation values? Is this
> the con* image generated during the analysis?
> Another way to do this from the previous posts would be to define a
> model with all regressors whose effect I want to regress out (i.e. all
> but ROI time-series) and use the residuals to extract the ROI timeseries
> of all voxels and cross correlate the voxels of interest. How do I get
> these residual images to extract the time-series for each voxel?
>
> Any help is appreciated,
> Thanks,
>
> Jane
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