50,000 brain scans: AI has discovered five patterns of brain atrophy, providing insights into the mystery of aging

An analysis of almost 50,000 brain scans has revealed five distinct patterns of brain atrophy associated with ageing and neurodegenerative disease. The analysis has also linked the patterns to lifestyle factors such as smoking and alcohol consumption, as well as to genetic and blood-based markers associated with health status and disease risk.

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The work is a “methodological tour de force” that could greatly advance researchers’ understanding of ageing, says Andrei Irimia, a gerontologist at the University of Southern California in Los Angeles, who was not involved in the work. “Prior to this study, we knew that brain anatomy changes with ageing and disease. But our ability to grasp this complex interaction was far more modest.”

The authors found clear associations between certain patterns of brain atrophy and various physiological and environmental factors, including alcohol intake and smoking, as well as various health-associated genetic and biochemical signatures. [Christos Davatzikos, a biomedical-imaging specialist at the University of Pennsylvania] says that these results probably reflect the effect of overall physical well-being on neurological health, because damage to other organ systems can have consequences for the brain.

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