This article describes a new study using AI to identify sex differences in the brain with over 90% accuracy.
Key findings:
- An AI model successfully distinguished between male and female brains based on scans, suggesting inherent sex-based brain variations.
- The model focused on specific brain networks like the default mode, striatum, and limbic networks, potentially linked to cognitive functions and behaviors.
- These findings could lead to personalized medicine approaches by considering sex differences in developing treatments for brain disorders.
Additional points:
- The study may help settle a long-standing debate about the existence of reliable sex differences in the brain.
- Previous research failed to find consistent brain indicators of sex.
- Researchers emphasize that the study doesn’t explain the cause of these differences.
- The research team plans to make the AI model publicly available for further research on brain-behavior connections.
Overall, the study highlights the potential of AI in uncovering previously undetectable brain differences with potential implications for personalized medicine.
Many thanks. Obviously, getting brain scans of infants is… difficult, so I wonder if one could proxy that. Maybe feed it brain scans from cultures with significant gender role differences and see if any performance differences are significant?
I’d also be very curious how it sorted transgender individuals. I remember reading something years ago about transgender brains being structured like the sex with which they identify, but that was a long time ago and my critical reading skills have come a long way since then.
Last I read regarding trans brains: it’s a confusing mishmash and unclear if brains are even as sexed as they seem outside of just size. If they are though, it seems like probably trans brains are at least somewhere in between? More research definitely appreciated.