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Brain health monitoring with MRI and machine learning could not only predict how an individual will age with poor cardiovascular health over a lifetime, but could also provide a way to prevent and treat neurodegenerative diseases, said lead author Dr. Jonathan Schott at the University College London Dementia Research Center in the United Kingdom
“We hope this method [of using MRI with machine learning] “It could one day be a useful tool to identify people at risk of accelerated aging, so that preventive strategies aimed at improving their mental health can be provided earlier,” Schott said in a statement from the university.
Mental age and cardiovascular health have been linked beforeAnd older brain age compared to chronological age is associated with worse scores on cognitive tests and an increased risk of dementia — which “may be an important clinical marker for people with cognitive or dementia-related decline,” he says. Health disorder,” the magazine said in a statement.
Schott’s team used an MRI-based machine learning algorithm to assess the brain age of 456 Englishmen born within a week of 1946 to explore the relationship between older brain age and poorer cardiovascular health.
The study participants were part of the UK Medical Research Council’s National Health and Development Study (also known as the 1946 British Birth Cohort or INSIGHT 46), which was followed throughout their lives. As part of the study, they did 24 health assessments, including the Heart Health Survey along with the Framingham Heart Study Cardiovascular Risk Score.
All participants received MRI scans between May 2015 and January 2018 when they were between the ages of 69 and 72.
Schott and his colleagues trained a machine learning model on 2,001 healthy adults between the ages of 18 and 90, and the team used the model to compare InSight’s 46 MRI exam data to the study participants’ timelines to find what they called “predictable age differences in the brain.”
Schott’s team found that study participants who had worse heart health in their 30s had worse mental health in their late 60s and early 70s, and that increasing age in the brain was associated with increased cerebrovascular disease burden, lower cognitive performance, and increased serum cholesterol. Neurofilament light concentration (neuronal damage biomarker).
The researchers also predict that the model predicts that women’s brain ages will be five years younger than men’s. But the researchers found no association between higher brain age compared to chronological age based on childhood cognitive ability, education level or socioeconomic class.
The study results suggest that brain-estimated age differences based on MRI findings may be a useful way to assess an individual’s mental health, the authors say.
“These findings support age-related differences in the brain as a composite summary measure of brain health, reflecting multiple contributions to brain aging and may have predictive utility,” they concluded.
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