Predicting Time to Cognitive Impairment Using Brain Age

Sample size: 2718 publication Evidence: moderate

Author Information

Author(s): Imms Phoebe, Chen Siyu, Wang Haoqing, Li Ruixi, Irimia Andrei

Primary Institution: University of Southern California

Can brain age measures predict the time to cognitive impairment in healthy older adults?

The study successfully predicts future cognitive impairment using brain age measures and various data points.

The model was trained on 1,846 converters and 252 non-converters.
The predictive accuracy was 0.82 for training and 0.83 for validation.
Important features for prediction included age, neurocognitive test scores, and brain volumes.

Researchers used brain scans and other information to figure out who might get memory problems in the future.

A machine learning survival model was used to analyze cognitive, demographic, genetic, and neuroimaging data.

The study may not account for all variables influencing cognitive impairment.

Participants included 1,795 females with a mean age of 69.14 years.

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