Journal
NEUROCASE
Volume 26, Issue 2, Pages 79-90Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/13554794.2020.1731553
Keywords
MRI case study; machine learning; long-term meditator; Buddhist monk
Categories
Funding
- National Center for Complementary and Integrative Health [P01AT004952]
- National Institute of Allergy and Infectious Diseases [U54AI117924]
- National Institute of Biomedical Imaging and Bioengineering [R01-EB022883]
- National Institute of Child Health and Human Development [U54-HD090256]
- National Institute on Aging [R01 AG037639, R56 AG037639, RF1 AG059312, UF1 AG051216]
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Yongey Mingyur Rinpoche (YMR) is a Tibetan Buddhist monk, and renowned meditation practitioner and teacher who has spent an extraordinary number of hours of his life meditating. The brain-aging profile of this expert meditator in comparison to a control population was examined using a machine learning framework, which estimates brain-age from brain imaging. YMR's brain-aging rate appeared slower than that of controls suggesting early maturation and delayed aging. At 41 years, his brain resembled that of a 33-year-old. Specific regional changes did not differentiate YMR from controls, suggesting that the brain-aging differences may arise from coordinated changes spread throughout the gray matter.
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