Women’s brains are 3 years ‘younger’ than men’s, study suggests

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You’ve heard of being “young at heart,” but what about young in the brain? A new study suggests that, by at least one measure, women’s brains are biologically younger than men’s of the same age.
The researchers analyzed brain scans of more than 200 adults, specifically looking at a measure of the brain’s metabolism that’s known to change with age. They found that, based on these metabolic levels, women’s brains appeared about three years younger, on average, than men’s brains of the same chronological age.
The findings still need to be confirmed in follow-up studies. But if true, the researchers hypothesize that having a metabolically “younger” brain might provide women with “some degree of resilience to aging-related changes” in the brain.
This in turn may help explain why women tend to experience less of a decline in thinking abilities as they age, the researchers wrote in the study, published today (Feb. 4) in the journal Proceedings of the National Academy of Sciences.
Still, much more research is needed. [Men vs. Women: Our Key Physical Differences Explained]
“What we don’t know is what it means,” senior study author Dr. Manu Goyal, an assistant professor of radiology at Washington University School of Medicine in St. Louis, said in a statement. However, it’s possible that it could explain why “women don’t experience as much cognitive decline [as men] in later years, … because their brains are effectively younger.”
The brain’s major fuel source is sugar, or glucose, but exactly how the brain uses glucose changes with age. When people are younger, they devote more glucose to a metabolic process called “aerobic glycolysis,” which is thought to help with brain development and maturation, including brain-cell growth. But as people age, their brain undergoes a reduction in aerobic glycolysis, which reaches very low levels by the time they are in their 60s.
But little is known about how brain metabolism differs between men and women. So in the new study, the researchers analyzed brain-imaging scans of 121 women and 84 men who ranged in age from 20 to 82.
They trained a machine-learning algorithm to find a relationship between people’s age and their brain metabolism. They found that the algorithm could closely predict a person’s chronological age based on their brain’s “metabolic age.”

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