Evidence map›Paper›PMID 32100616›Full record

ArticleNeurocase2020

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

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

Open access · greenAbstract readCase Reports
In one paragraph

Article in Neurocase, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Using Case Studies fromJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. The plasticity of well-being: A training-based framework for the cultivation of human flourishing.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nagesh AdluruWaisman Center, UW-Madison, USA.ORCID 0000-0001-8330-1770
Cole H KorponayMcLean Hospital, Harvard Medical School, USA.ORCID 0000-0003-2562-9617
Derek L NortonDepartment of Biostatistics and Medical Informatics, UW-Madison, USA.
Robin I GoldmanCenter for Healthy Minds, UW-Madison, USA.
Richard J DavidsonCenter for Healthy Minds, UW-Madison, USA.ORCID 0000-0002-8506-4964
University of Wisconsin–Madison · USHarvard University · US

Funding

Wisconsin Center for the Neuroscience and Psychophysiology of MeditationP01AT004952 · NCCIH · UNIVERSITY OF WISCONSIN-MADISON · PI DAVIDSON, RICHARD J · 2008 to 2018
$14.7M
TrainingU54AI117924 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI CRAVEN, MARK W. · 2014 to 2018
$11.3M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI CHANG, QIANG · 2016 to 2020
$6.0M
Alzheimer's Disease Connectome ProjectUF1AG051216 · NIA · MEDICAL COLLEGE OF WISCONSIN · PI BENDLIN, BARBARA BRIGITTA, LI, SHI-JIANG · 2016 to 2019
$5.8M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3M
Manifold-valued statistical models for longitudinal morphometic analysis in preclinical Alzheimer's disease (AD)R01EB022883 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C, SINGH, VIKAS · 2016 to 2018
$995k
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR56AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2017 to 2017
$759k
NCCIH NIH HHS P01 AT004952NIAID NIH HHS U54 AI117924NIA NIH HHS R01 AG037639NIA NIH HHS R56 AG037639NIA NIH HHS UF1 AG051216NIBIB NIH HHS R01 EB022883NICHD NIH HHS U54 HD090256
6 · The paper itself

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.

Indexed as

BuddhismMeditationMonksAdultAgedAge FactorsAgingFemaleGray MatterHumansLongitudinal StudiesMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingBuddhist monklong-term meditatormachine learningMRI case study

Identifiers

PMID32100616
PMCPMC7150651
OpenAlexW3007005114

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.