Estimating brain age using high-resolution pattern recognition: Younger brains in long-term meditation practitioners

@article{Luders2016EstimatingBA,
  title={Estimating brain age using high-resolution pattern recognition: Younger brains in long-term meditation practitioners},
  author={Eileen Luders and Nicolas Cherbuin and Christian Gaser},
  journal={NeuroImage},
  year={2016},
  volume={134},
  pages={508-513}
}
Normal aging is known to be accompanied by loss of brain substance. The present study was designed to examine whether the practice of meditation is associated with a reduced brain age. Specific focus was directed at age fifty and beyond, as mid-life is a time when aging processes are known to become more prominent. We applied a recently developed machine learning algorithm trained to identify anatomical correlates of age in the brain translating those into one single score: the BrainAGE index… CONTINUE READING
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