Said no-one, ever.
I think these are US statistics, but the same argument applies, give or take a few percentage points, regardless of which population statistics you use.
Men have an average height of 5'9.3", with a standard deviation of 2.92 inches. Women have an average height of 5'3.8" with a standard deviation of 2.8 inches. This means (assuming the distributions to be Gaussian) that a woman who is 5'9.3" (the average height of a man) is on the 97.5th percentile of the female distribution (to change that into frequency terms, because that makes more sense to most of us - that's one woman in 40).
But no one ever says to a tall woman "you have a man's height."
However, alleged studies of brain differences are often spun by the press as "scientists discover the difference between male and female brains." (The latest one, using foetal MRI scans and an elaborate technique which, as far as I could see, came down to calculating pattern correlations between different parts of the brain, then using this as a measure of "connectivity": disclaimer - I am not a neuroscientist, but I do work in the physical sciences and use a lot of stats in my day job).
The point I'm making with the height analogy is that this spin ("scientists discover what makes a brain male") makes no more sense than saying "scientists discover what makes a height male." These studies tell you about statistical features of populations, not individuals. An individual who is an outlier for their sex is just that - an outlier for their sex. Not a member of the opposite sex.
(Important subsidiary point to make: height is far more obviously dimorphic in terms of its statistical properties than any of the putative brain differences. The d-value, i.e. difference in means divided by product of the standard deviations, is usually less than 0.5 for most putative cognitive differences, i.e. to the naked eye, the bell curves lie pretty much on top of one another).