Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration
Nikhil N. Chaudhari, Owen M. Vega, Phoebe E. Imms, Jaron M. Kawamura et autres
Abstract Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks …
us, gb (code pays fourni par la source)
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