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Using deep learning to predict brain age from brain magnetic resonance images and cognitive tests reveals that anatomical and functional brain aging are phenotypically and genetically distinct

2021-06-25

Abstract excerpt

With the world population aging, the prevalence of age-related brain diseases such as Alzheimer’s, Parkinson’s, Lou Gehrig’s, and cerebrovascular diseases. In the following, we built brain age predictors by leveraging 46,000 brain magnetic resonance images [MRIs] and cognitive tests from UK Biobank participants. We predicted age with a R-Squared [R 2 ] of 76.4±1.0% and a root mean squared error of 3.58±0.05 years...

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Literature Corpus work: 3157850d-b01a-5e85-88be-42081dc0e06d
DOI: 10.1101/2021.06.22.21259280

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