Dear Jeremie,
Thank you very much for the answer on my previous question! It really helped
and I succeeded to calculate the inverse solution.
As I understood, the obtained matrix Gind contains the Inverse solution for
the specified time window and within the average for one condition of one
run (I guess that is the most widely used contrast -
D.inv{val}.inverse.contrast). The next step I assume should be to convert
this Inverse solution to the NIFTI. I found a function -
spm_eeg_convertmat2ana.m and it seems to convert 2D interpolated solution to
NIFTI, but it does not work for the 3D solution. Therefore, my question is
how to convert 3D inverse solution to NIFTI?
And if I do the 3D source reconstruction I don't need to specify 1-st level
model, do I? As I learned this option is valid only if one does the
interpolation into 2D space.
Thank you a lot in advance.
Mikhail.
|