Summarized by Masters of Longevity from Longevity Technology.
Brain Years introduces a functional brain-age approach using EEG and task data; this article previews a discussion about its potential as a tracking tool.
Key Takeaways
- Brain Years estimates functional brain age using EEG signals, event-related potentials, and task performance variables derived by machine learning.
- The model’s primary value is tracking change over time to detect intervention-driven shifts rather than only labeling current brain age.
- Prospective, placebo-controlled trials and comparisons with MRI and blood-based clocks are necessary to confirm that score changes reflect true biological brain aging.
