Brain age predicts mortality

@inproceedings{Cole2018BrainAP,
  title={Brain age predicts mortality},
  author={James H. Cole and Stuart J. Ritchie and Mark E. Bastin and M del C Vald{\'e}s Hern{\'a}ndez and Susana Mu{\~n}oz Maniega and Natalie A. Royle and Janie Corley and Alison Pattie and Stephanie Harris and Q-y Zhang and Naomi R Wray and Paul Leo Redmond and Riccardo E Marioni and John M. Starr and Simon R. Cox and Joanna M. Wardlaw and David J. Sharp and Ian J. Deary},
  booktitle={Molecular Psychiatry},
  year={2018}
}
Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, ‘brain-predicted age’, derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on… CONTINUE READING
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