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BrainAGE and regional volumetric analysis of a Buddhist monk: a longitudinal MRI case study.

Nagesh Adluru, Cole Korponay, Derek L Norton, Robin I. Goldman, Richard J. Davidson

Neurocase April 2020 DOI: 10.1080/13554794.2020.1731553 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Case study Longitudinal Case report Peer reviewed
Population Yongey Mingyur Rinpoche, a Tibetan Buddhist monk and expert meditator, compared with a control population
Topics Buddhism
Keywords Buddhist monk MRI Case Study Long-term meditator Machine learning
Key findings The brain-aging rate of expert meditator Yongey Mingyur Rinpoche appeared slower than that of controls, suggesting early maturation and delayed aging; at 41 years his brain resembled that of a 33-year-old. No specific regional changes differentiated him from controls, suggesting the differences may arise from coordinated changes spread throughout the gray matter.

Abstract

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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“Science” in Huayan Buddhism: The Apologetic Discourse of Zhong Maosen (b. 1973) 2026 Case study
IMPACTS OF MINDFULNESS ON CONCENTRATION: A SELF-REPORT OF A 20-DAY PRACTICE OF MEDITATIVE WALKING A single practitioner 2025 Case study n = 1

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