Machine learning was able to distinguish female from male brains with 93% accuracy, based on gray matter structure. This pattern persisted among 1,300 inmates, suggesting antisocial individuals still show reliable sex differences in brain anatomy.
"brains of males and females are highly distinguishable. Understanding sex differences in brain has implications for elucidating variability in incidence and progression of disease, psychopathology, and differences in psychological traits and behavior"
This () is so weird, bordering on perverse. Q is: given many details of their brain, how reliably can you predict someone's sex? Research shows it's between 80% () & 93% ( ) of the time.
There are many neuroscientists working on this topic who would completely disagree with the conclusions of that piece. Here's just one example of many: And see this summary of findings showing significant sexual dimorphism in the human brain:
Machine learning of brain gray matter differentiates sex in a large forensic sample
AI was able to distinguish female from male brains with 93% accuracy, based on gray matter structure (1,300 participants). Highly differentiated components include orbitofrontal and frontopolar regions, proportionally larger in females.
And grey matter: "Models using components of brain gray matter volume and concentration were able to differentiate between males and females with greater than 93% generalizable accuracy."
"We ardently condemn the historically slippery perspective of relying on established brain differences to justify inequitable treatment based on prejudice. We simultaneously caution against the conclusion that male & female brains are indistinguishable..."
components of brain gray matter volume and concentration differentiate between males and females with greater than 93% generalizable accuracy...complimentary analysis of a nonforensic healthy control sample and replicate our 93% sex discrimination