I am reading the paper "Classical and Bayesian Inference in Neuroimaging" by Friston. In the introduction he says:
"[...] a trivially small activation can be declared significant if there are sufficient degrees of freedom to render the variability of the action's estimate small enough."
I have heard the terms "degrees of freedom" in the context of neuroimaging numerous times but I never understood what it actually means. I sometimes also encounter the same term in a statistical context but I assume it's not the same as what Friston is referring to here. Or am I utterly mistaken?