I agree that this is a very clear-cut point. The abstract simply does not say whether or not that p value is corrected. The article does. I refer you specifically to table 2, which provides the corrected p values for both of the ROIs. It lists them both as 0.05. I apologize if I'm reading this wrong, but I can't fathom what the basis could be for your disagreement, unless you were forced to guess without access to the full article.
If you're going to dispute my other two points, then I'm comfortable with that. There's a tidy little literature on the stupidity of retrospective power analysis. So far as I know, there's no opposing literature whatsoever. But of course academic statisticians are argumentative, so I'm sure you can find someone to disagree with just about anything, even if no one (to my knowledge) has been willing to make the point in a decent journal.
I'd also be shocked if you could get a knowledgeable statistician to sign on to the view that there's an accepted adequate number of observations for a t-test without any other details about the study. A simple power analysis seems like it would dispute that pretty readily (I won't insult anyone by posting numbers, at least not yet). But since you haven't made any argument, I can't really argue the point.