The brain age gap (BAG), derived from differences between an individual's predicted brain age (PBA) and chronological age (CA), can serve as a valuable biomarker of brain health.
Advancements in artificial intelligence facilitated the development of brain age models using the whole structural magnetic resonance imaging (MRI), capturing the resilience's core biological dimension.
The Swedish research team evaluated the impact of neurodegenerative disease; vascular disease; lifestyle factors such as activity and diet; cardiometabolic risk factors and disorders.
They studied the link between the brain age gap and cognitive functioning and looked for potential differences between biological females and males as defined at birth.
#brain-aging #artificial-intelligence #neurodegenerative-diseases #mri-imaging #cognitive-functioning
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