A new study using artificial intelligence analyzed MRI scans of children to predict sex and gender based on brain connectivity patterns. They found that patterns associated with sex were different from those linked to gender identity. Despite including gender as a factor, the study did not fully separate the effects of sex and gender on the brain. Researchers acknowledge that sex and gender only account for half of the variation in brain patterns among participants, suggesting other contributing factors. The study highlights the importance of considering sex and gender separately in neurological research to better understand brain development.
Source link
Study finds distinct brain networks linked to sex and gender
