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Study Identifies Early Indicators of Alzheimer's Disease Through Brain Activity

A study from Stanford Medicine indicates that changes in brain communication may predict Alzheimer's disease years before memory loss appears. Researchers developed an Alzheimer's resilience-vulnerability connectome score (ARC score) that distinguishes between healthy aging and cognitive decline with about 85% accuracy. The study involved over 1,300 adults and found that those with patterns similar to Alzheimer's showed faster cognitive decline over time.

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Yu Zhang, assistant professor of psychiatry and behavioral sciences Kanhao Zhao, postdoctoral scholar in psychiatry

Researchers at Stanford Medicine have discovered that changes in brain communication can indicate the risk of developing Alzheimer's disease years before symptoms appear. The study, published in Science Advances, involved brain scans of individuals diagnosed with Alzheimer's and 'super agers,' revealing a new scoring system called the Alzheimer's resilience-vulnerability connectome score (ARC score). This score accurately distinguishes between healthy aging and cognitive decline. The findings suggest that understanding these brain activity patterns could lead to better prediction and treatment methods for Alzheimer's.

Key facts

  • Study published in Science Advances by Stanford Medicine researchers.
  • Developed an Alzheimer's resilience-vulnerability connectome score (ARC score).
  • The ARC score distinguishes between super agers and Alzheimer's patients with 85% accuracy.
  • Involved over 1,300 cognitively unimpaired adults aged 55 to 70.
  • Further studies are needed to validate the method for clinical use.
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Original Headline

Alzheimer's warning signs could emerge years before memory loss, study finds

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Study Identifies Early Indicators of Alzheimer's Disease Through Brain Activity