Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

@article{Cole2017PredictingBA,
  title={Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker},
  author={James H. Cole and Rudra P. K. Poudel and Dimosthenis Tsagkrasoulis and Matthan W. A. Caan and Claire J Steves and Tim D. Spector and Giovanni Montana},
  journal={NeuroImage},
  year={2017},
  volume={163},
  pages={
          115-124
        }
}
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the credentials of 'brain-predicted age' as a biomarker of individual differences in the brain ageing process, using a predictive modelling approach based on deep learning, and specifically convolutional neural networks (CNN), and applied to both pre… CONTINUE READING
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