Hi All,

I ran two voxel-to-voxel analyses - one with the "normalization" box checked off (for within-subject spatial normalization) at the first level and one with it not checked off. The results are slightly different in terms of the threshold required to see an effect (within-subject normalization at the first level produced  findings at a more stringent threshold than analyses without normalization). I'm trying to figure out why. Is this simply a case of increased signal-to-noise when using normalization, or could there be other relevant factors?

Thanks for any insight,
Emily