This is a great example of the type of question-begging and junk science "deep learning models" enable. The methodology is to take time series MRI of hundreds of regions of the brain and, labeling each data point as "male" or "female", train a model to differentiate between the two, then pick out the most determinative bits. The issue, of course, is that you are searching for what you want to find. With so much data, of course there is going to be some feature that has maximal differentiating power, so it's totally unsurprising to see a result showing maximal differentiation, since that was what the model was being trained for.

However, nothing in this points towards any intelligent conclusion… the highest differentiating region is called "R DLPFC, Subdivision A9l", with "R DLPFC, Subdivision A9/46d" coming close behind. No doubt though this will be passed around as evidence that gender disparities in professional fields and economic outcomes are biologically determined.