Ever wondered why women remain mentally sharp in their old age than men?
The answer has been found through research which shows that time wears differently on women’s and men’s brains.The research by Washington University School of Medicine in St. Louis shows that while the brain tends to shrink with age, men’s diminish faster than women’s and brain’s metabolism slows as people grow older, and this, too, may differ between men and women.
A new study released yesterday found out that women’s brains appear to be about three years younger than men’s of the same chronological age.The findings published in the Proceedings of the National Academy of Sciences, gives clues to why women tend to stay mentally sharp longer than men.
“We are just starting to understand how various sex-related factors might affect the trajectory of brain aging and how that might influence the vulnerability of the brain to neuro-degenerative diseases,” said Prof Manu Goyal, senior author of the study and radiology lecturer at the university’s Mallinckrodt Institute of Radiology.
He said brain metabolism might help researchers understand some of the differences seen between men and women as they age.He said the brain runs on sugar, but how the brain uses sugar changes as people grow and age.”Babies and children use some of their brain fuel in a process called aerobic glycolysis that sustains brain development and maturation.
The rest of the sugar is burned to power the day-to-day tasks of thinking and doing,” Goyal said.In adolescents and young adults, the research shows a considerable portion of brain sugar also is devoted to aerobic glycolysis, but the fraction drops steadily with age, leveling off at very low amounts by the time people are in their 60s.
Goyal said researchers have understood little about how brain metabolism differs between men and women.So him and colleagues Prof Marcus Raichle and Prof Andrei Vlassenko studied 205 people to figure out how their brains use sugar.
The study’s participants were 121 women and 84 men, aged between 20 to 82 years underwent PET scans to measure the flow of oxygen and glucose in their brains.”For each person, we determined the fraction of sugar committed to aerobic glycolysis in various regions of the brain. We trained a machine-learning algorithm to find a relationship between age and brain metabolism by feeding it the men’s ages and brain metabolism data,” Goyal said.
Then, the team entered women’s brain metabolism data into the algorithm and directed the program to calculate each woman’s brain age from its metabolism.
They found out that the algorithm yielded brain ages an average of 3.8 years younger than the women’s chronological ages.The researchers also performed the analysis in reverse, training the algorithm on women’s data and applied it to men’s.