Reacción a "Sex and gender are associated with distinct brain network patterns"

In this paper, Dhamala and colleagues studied the association, in a sample of boys and girls, between brain function and sex and gender, considering the latter two measures independently. Thus, while sex referred to sex assigned at birth, based on visual inspection of genitalia, gender referred to a person's social role. Brain function was conceptualised as interregional connectivity, i.e., as the synchronisation in neural activity between different brain regions, a measure that has recently become popular for defining global brain function.

The study analysed a sample of more than 4,700 children aged 9 to 10, whose sex was known at birth, and obtained a brain image and two measures of gender, one reported by the participant and one by their parents. The image analysis methods and statistical analyses used were adequate to answer the questions posed, so the conclusions drawn from the study are well supported by the data obtained.

These conclusions indicate that sex and gender are associated with different patterns of connectivity between brain networks, with sex being associated with a more circumscribed pattern and gender with a broader pattern involving almost the entire cerebral cortex. The results suggest that the greater complexity of gender, a measure that includes multiple facets of behaviour, is reflected in a more complex and widespread pattern of brain connectivity. This association between gender and brain function, however, was only found using measures provided by parents, but not self-reported by participants. This is likely due to the low variability observed in the self-reported gender measure relative to sex, which may be related to the young age of the participants and the fact that gender self-concept develops more robustly later in life.

Although the correlational nature of the study does not allow causal relationships to be established, the results indicate that sex and gender are not the same measure, something already understood at the societal level, but which can now also be defended at the neurobiological level. Furthermore, the results show that social variables, such as gender, are also associated with specific neurobiological patterns, emphasising the complexity of the relationships between variables at different levels of analysis. On a practical level, this study suggests that gender, and not just sex, may be an important variable to consider in the development of personalised medicine therapies, especially for the treatment of mental health problems that may be based on the modulation of brain connectivity circuits.