Brain age prediction using deep learning uncovers associated sequence variants
Machine learning algorithms can be trained to estimate age from brain structural MRI. Here, the authors introduce a new deep-learning-based age prediction approach, and then carry out a GWAS of the difference between predicted and chronological age, revealing two associated variants.
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2019-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-019-13163-9 |