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

Luders, Eileen; Cherbuin, Nicolas; Gaser, Christian


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...[Show more]

CollectionsANU Research Publications
Date published: 2016-07-01
Type: Journal article
Source: NeuroImage
DOI: 10.1016/j.neuroimage.2016.04.007


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