AI-enabled measurements of ‘local brain aging’ offer detailed insights on dementia and more

USC researchers, led by NGP Faculty Andrei Irimia, have developed an approach that uses artificial intelligence to generate detailed maps that highlight differences in how distinct parts of the brain age.

AI-generated maps show local brain aging. Cooler colors indicate brain regions that appear younger relative to a person’s chronological age, while warmer colors indicate regions that appear older. Compared with cognitively normal adults (left), people with cognitive impairment (right) show substantially more widespread patterns of advanced local brain aging, particularly in frontal and temporal brain regions. (Images/Alzheimer’s Disease Neuroimaging Initiative)

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