Stanford study finds brain scans can predict Alzheimer’s risk decades early

A recent study conducted by Stanford University suggests that brain scans could predict the risk of Alzheimer’s disease decades before cognitive symptoms emerge, according to fox35orlando.com.

The research, published in the journal Science Advances, utilized resting-state brain scans to analyze how different brain regions communicate. Researchers developed a machine-learning model that created an Aging-Related Connectome (ARC) signature, which maps the brain wiring patterns of resilient individuals compared to those vulnerable to Alzheimer’s.

The study compared two groups: "SuperAgers," seniors over 75 with memory comparable to healthy 50-year-olds, and patients diagnosed with Alzheimer’s disease. Applying the ARC system to cognitively healthy seniors revealed hidden subgroups, distinguishing those with brain patterns similar to SuperAgers from those with Alzheimer-like brain aging.

The Alzheimer-like subgroup showed faster biological brain aging and altered connectivity in areas responsible for memory, focus, and emotion. The ARC score performed as well as or better than established genetic and amyloid biomarker tests in identifying early risk.

This research offers an earlier window for doctors to detect vulnerability to Alzheimer’s and could guide preventive strategies. The study also noted that lifestyle factors such as physical activity, not smoking, light alcohol use, a good diet, and cognitive activities may reduce Alzheimer’s risk by up to 60 percent.