Predicting Cognitive Resilience in Aging and Alzheimer's Disease
Author Information
Author(s): Essien Ime, McDaniel Laura, Walston Jeremy, Bennett David, Abadir Peter, Chellappa Rama
Primary Institution: Johns Hopkins University
Hypothesis
How can we model residual cognition to understand cognitive resilience in aging and Alzheimer's disease?
Conclusion
The study provides insights into cognitive resilience by identifying cases where cognitive function does not align with neuropathological burden.
Supporting Evidence
- The study examines cognitive resilience in the context of Alzheimer's disease.
- It models residual cognition as the difference between observed and expected cognitive function.
- Conformal prediction is used to generate prediction intervals for cognitive scores.
Takeaway
This study looks at how some people can think well even when their brains show signs of Alzheimer's, helping us understand how to keep our minds healthy as we age.
Methodology
The study uses conformal prediction to model residual cognition based on beta-amyloid and tau protein levels and demographic data.
Participant Demographics
Participants were stratified into control, asymptomatic AD, and AD groups based on clinical consensus diagnosis at time of death.
Digital Object Identifier (DOI)
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