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.
People’s heights change over time too. Men and women can nevertheless have different average heights.
Yes, but I’ve heard theories and read studies in the past that suggest the differences in sexuality change over time, also. Like, studies have documented that women can go back and forth from being gay and straight, while men might go gay later in life but never change back. Supposedly there is some mental rewiring that goes on alongside this, however not as something that has been quantifiably measured, only qualitatively observed.
I think this AI processing could be a useful tool in further analysis against this and other hypotheses, but I worry that given the emotionally charged discussions around transgender nature the results will be far too easily misconstrued.
Height is pretty consistent. You grow until adolescence, then maybe you shrink a bit later in life. Men are generally taller than women, but only on average. That doesn’t really have anything to do with neurology.