New brain metabolism model reveals key targets for reversing aging

New brain metabolism model reveals key targets for reversing aging

The most comprehensive model of the brain’s metabolism, incorporating more than 16,800 biochemical interactions, has identified key targets to reverse the age-related decline in brain function.

Network segregation is associated with processing speed in the cognitively healthy oldest-ol

The brain is organized into systems and networks of interacting components. The functional connections among these components give insight into the brain's organization and may underlie some cognitive effects of aging. Examining the relationship between individual differences in brain organization and cognitive function in older adults who have reached oldest old ages with healthy cognition can help us understand how these networks support healt…

Scientists from Stony Brook University in the US analysed brain scans and tests on 19,300 people and found that brain aging begins to become apparent at an average age of 44. The process reaches its fastest level at age 67 and slows down around age 90. The study examined how neurons respond to stress, one of the fundamental mechanisms behind aging. The findings showed that brain cells become less sensitive to insulin over time and brain function…

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Computer Model of Age-Related Changes in Brain Metabolism Could Point to Rejuvenating Strategies

A new open-source model of brain metabolism, developed by scientists at École Polytechnique Fédérale de Lausanne (EPFL), has shown how altering key chemicals could restore aged cells to their youthful activity and resilience. The data-driven molecular model, based on existing data on the neuro-glia-vascular (NGV) system is, the team suggests, the most comprehensive and complex computer model of brain metabolism generated to date, incorporating m…