Hi - yes, I just realised this is barely mentioned in the FSL
documentation. We'll get that sorted.
The script feat_gm_prepare prepares your structural data for use
in this way:
First run the first-level FEATs.
Then run the feat_gm_prepare script (just type the script name to get
usage).
Then run higher-level FEATs, selecting inside the GLM panel a non-zero
number of additional voxel-dependent EVs. You can then enter the 4D
file that the above script prepared.
Cheers.
On 9 Sep 2009, at 01:27, Andrej Schoeke wrote:
> Hello,
>
> I recently read a paper titled "Integrating VBM into the General
> Linear Model with voxelwise anatomical covariates" by T. Oakes et
> al[1]. I am interested in applying this analysis technique to our
> data. I know about the VBM tools in FSL, but is there a way to
> integrate the results into the analysis as described in the paper?
> Any hints are welcome.
>
> Best,
> Andrej
>
> [1] Oakes, T. R., Fox, A. S., Johnstone, T., Chung, M. K., Kalin,
> N., & Davidson, R. J. (2007). Integrating VBM into the General
> Linear Model with voxelwise anatomical covariates. NeuroImage,
> 34(2), 500-508. doi: 10.1016/j.neuroimage.2006.10.007.
>
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