A Brain Scan at Midlife Can Indicate Your Aging Rate

New Tool Assesses Biological Age Through Brain Scans

It turns out that how our bodies age isn’t always in sync with our chronological age, which can influence predictions about lifespan and disease risk. Recently, a group of researchers has created a tool designed to gauge biological age using just a single brain scan taken during midlife.

This innovative tool, developed by an international team, relies on a dataset from 1,037 individuals born in Dunedin, New Zealand, in the early 1970s. The comprehensive health tracking of these participants over the years has provided a rich database for researchers, reflecting the body’s actual age rather than just the number of years lived.

Utilizing this data, the researchers established a method termed DunedinPACNI, which stands for Pace of Aging Calculated from NeuroImaging. This essentially matches aging patterns with specific brain markers.

The system shows promise in providing a relatively accurate measure of biological age, which could inform health and disease risk assessments, including the likelihood of developing dementia. Unlike traditional methods that require a series of tests over time, this tool only needs one brain scan.

“It’s impressive that we can now gauge how quickly people age using midlife data,” mentions neuroscientist Ahmad Hariri from Duke University in North Carolina. “This aids in predicting dementia diagnoses for older individuals.”

DunedinPACNI evaluates 99 critical brain measurements, focusing on aspects like the thickness of the cerebral cortex and the gray matter volume, both of which are crucial for cognitive functions.

After creating DunedinPACNI, the researchers validated it against various datasets from other health studies, involving over 50,000 individuals. Their findings indicated that it effectively estimates biological age and can predict future health issues such as cognitive decline and heart attacks.

While not perfectly accurate every time, the tool performs comparably or even better than existing biological age assessment techniques. It has also demonstrated reliability across different demographic and socioeconomic groups.

“The correlation between the aging of the brain and body is quite compelling,” Hariri explains. “It appears to capture something universal across all brains.”

If we identify that someone’s body is aging more rapidly than their actual age, it opens the door for preventative measures in health management potentially years or decades prior to overt symptoms appearing. Small changes in lifestyle, like diet and exercise, could lead to significant improvements.

The team is particularly focused on identifying risks related to various forms of dementia, including Alzheimer’s disease. As global life expectancy increases, so do dementia rates, highlighting the need to develop methods to prevent these conditions from arising in the first place.

“We envision this as a pivotal tool for predicting disease risks, especially concerning Alzheimer’s and related dementias,” Hariri adds. “It might also help us understand disease progression better.”