Article
Brain age prediction using deep learning uncovers associated sequence variants.
Nature communications - 27 Nov 2019
Jonsson B A, Bjornsdottir G, Thorgeirsson T E, Ellingsen L M, Walters G Bragi, Gudbjartsson D F, Stefansson H, Stefansson K, Ulfarsson M O
Abstract excerpt
Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference between an individual's predicted and chronological age, predicted age difference (PAD), is a phenotype of relevance to aging and brain disease. Here, we present a new deep learning approach to predict brain age from a T1-weighted MRI. The method was trained on a dataset of healthy Icelanders and tested on two...
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