Stanford Medicine study uses brain scans to predict Alzheimer's early

Key Points:

• Stanford Medicine researchers developed a brain scan-based model, the Alzheimer’s resilience-vulnerability connectome score (ARC score), which predicts the likelihood of developing Alzheimer’s years before symptoms appear with about 85% accuracy.
• The study compared brain activity patterns between Alzheimer’s patients and "super agers," older adults with memory performance comparable to much younger individuals, focusing on communication between brain regions rather than physical markers like amyloid plaques.
• Applying the ARC score to over 1,300 cognitively normal adults aged 55 to 70 revealed that those with Alzheimer’s-like brain activity patterns experienced faster cognitive decline and were more likely to develop the disease over a follow-up period of up to 12 years.
• The ARC score matched or outperformed traditional biomarkers such as amyloid, tau, and genetic tests in predicting early cognitive decline, and combining it with existing measures improved prediction accuracy further.
• While promising, researchers caution that the ARC score method requires further validation before clinical use, but it may aid future treatment strategies by identifying brain areas to target for non-invasive stimulation therapies.