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- W2977685912 abstract "Significance The difference between brain age estimated from MRI and chronological age is thought to serve as an important biomarker reflecting pathological processes in the brain. Several recent studies showed the relation between accelerated brain aging and various disorders. However, until now, the utility of such an age difference for preclinical screening using longitudinal studies was absent. To fill this gap, we first built a deep learning model using brain MRI from a population-based study including 5,496 participants. And then, using follow-up information, we observed that this age difference was significantly associated with the risk of dementia. Therefore, our study shows that the difference between MRI-brain predicted and chronological age is potentially a biomarker for early dementia risk screening." @default.
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- W2977685912 date "2019-10-01" @default.
- W2977685912 modified "2023-10-15" @default.
- W2977685912 title "Gray Matter Age Prediction as a Biomarker for Risk of Dementia" @default.
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- W2977685912 doi "https://doi.org/10.1073/pnas.1902376116" @default.
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