Hi,
I have run some second-level seed-to-voxel analysis in conn. My model is quite simple: I am using multiple regression to find the voxels whose connectivity with a few ROI seed regions correlate with a behavioral variable of interest after covarying out mean FD, age and gender. I use a height extent of p<0.001 uncorrected and a cluster correction of p<0.05 FDR. I have a few significant results for multiple seed regions, but the size of the significant clusters are very small; the largest is about 50 voxels and many are between 15 and 30 voxels in size. I am wondering whether this would be problematic and if so what may have caused the problem.
Thanks!
I have run some second-level seed-to-voxel analysis in conn. My model is quite simple: I am using multiple regression to find the voxels whose connectivity with a few ROI seed regions correlate with a behavioral variable of interest after covarying out mean FD, age and gender. I use a height extent of p<0.001 uncorrected and a cluster correction of p<0.05 FDR. I have a few significant results for multiple seed regions, but the size of the significant clusters are very small; the largest is about 50 voxels and many are between 15 and 30 voxels in size. I am wondering whether this would be problematic and if so what may have caused the problem.
Thanks!