Sleep-Based Brain Age Is Reduced in Advanced Inner Engineering Meditators

被引:0
作者
Banks, Jayme C. [1 ,2 ]
Hariri, Sepideh [3 ,4 ]
Kveraga, Kestutis [3 ,4 ]
Ouyang, An [1 ,2 ]
Gallagher, Kaileigh [1 ,2 ]
Quadri, Syed A. [1 ,2 ]
Tesh, Ryan A. [1 ,2 ]
Reed, Preeti Upadhyay [3 ]
Thomas, Robert J. [5 ]
Westover, M. Brandon [1 ,2 ]
Sun, Haoqi [1 ,2 ]
Subramaniam, Balachundhar [3 ,4 ]
机构
[1] Massachusetts Gen Hosp MGH, Dept Neurol, 55 Fruit St, Boston, MA 02114 USA
[2] MGH, Clin Data Animat Ctr CDAC, Boston, MA 02114 USA
[3] Beth Israel Deaconess Med Ctr, Sadhguru Ctr Conscious Planet, Dept Anesthesia Crit Care & Pain Med, Boston, MA 02215 USA
[4] Harvard Med Sch, Dept Anesthesia, Boston, MA USA
[5] Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Dept Med, Boston, MA USA
关键词
Meditation; Sleep; Electroencephalography; Brain health; Wearable device; MINDFULNESS MEDITATION; OLDER-ADULTS; METAANALYSIS; EEG; ELECTROENCEPHALOGRAM; PRACTITIONERS; YOGA;
D O I
10.1007/s12671-025-02583-y
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objectives We aimed to quantify the effects of advanced meditation on brain electrical activity during sleep. This investigation addresses the need for objective neurophysiological measures of meditation's potential impact on brain aging and health. Method This study was a single-site, prospective cohort study (conducted August 25, 2021, through September 26, 2021) of meditators attending the "Samyama Sadhana" retreat (September 1-5, 2021). Two healthy comparison groups and four comparison groups with varying degrees of age-related brain pathology are included. Using overnight electroencephalography, physiological measures of brain age were derived and subtracted from chronological age, measuring the deviation of apparent brain age from chronological age. Results Thirty-four participants completed the study (average age = 38 years; 36% female). Estimated brain age index after adjustment by matching: meditators (n = 34), - 5.9 years (SE = 0.94 years, t-test p < 0.001); Dreem healthy controls (n = 1077), - 0.24 (0.61, p < 0.001); Massachusetts General Hospital (MGH) healthy controls (n = 112), 0.55 (0.92, p < 0.05); MGH "no dementia" (n = 7618), 2.4 (0.094, reference cohort for t-test); MGH "symptomatic" (n = 697), 2.0 (0.33, p > 0.05); MGH "mild cognitive impairment (MCI)"(n = 205), 8.8 (2.8, p < 0.05); and MGH "dementia" (n = 153), 10.5 (2.8, p < 0.01). Conclusions Long-term meditators exhibit lower brain age relative to matched control groups. This study suggests that advanced meditation enhances brain health.
引用
收藏
页码:1675 / 1692
页数:18
相关论文
共 94 条
[1]   Decoding information about cognitive health from the brainwaves of sleep [J].
Adra, Noor ;
Dummer, Lisa W. W. ;
Paixao, Luis ;
Tesh, Ryan A. A. ;
Sun, Haoqi ;
Ganglberger, Wolfgang ;
Westmeijer, Mike ;
Cardoso, Madalena Da Silva ;
Kumar, Anagha ;
Ye, Elissa ;
Henry, Jonathan ;
Cash, Sydney S. S. ;
Kitchener, Erin ;
Leveroni, Catherine L. L. ;
Au, Rhoda ;
Rosand, Jonathan ;
Salinas, Joel ;
Lam, Alice D. D. ;
Thomas, Robert J. J. ;
Westover, M. Brandon .
SCIENTIFIC REPORTS, 2023, 13 (01)
[2]  
Afonso Rui Ferreira, 2020, Front Biosci (Schol Ed), V12, P92
[3]   Predicting Age From Brain EEG Signals-A Machine Learning Approach [J].
Al Zoubi, Obada ;
Wong, Chung Ki ;
Kuplicki, Rayus T. ;
Yeh, Hung-wen ;
Mayeli, Ahmad ;
Refai, Hazem ;
Paulus, Martin ;
Bodurka, Jerzy .
FRONTIERS IN AGING NEUROSCIENCE, 2018, 10
[4]  
[Anonymous], 2018, Towards a dementia plan: A WHO guide
[5]   Machine learning for brain age prediction: Introduction to methods and clinical applications [J].
Baecker, Lea ;
Garcia-Dias, Rafael ;
Vieira, Sandra ;
Scarpazza, Cristina ;
Mechelli, Andrea .
EBIOMEDICINE, 2021, 72
[6]   Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data [J].
Baghernezhad, Sepideh ;
Daliri, Mohammad Reza .
GEROSCIENCE, 2024, 46 (5) :5303-5320
[7]   Reduced hypoxic ventilatory response with preserved blood oxygenation in yoga trainees and Himalayan Buddhist monks at altitude: evidence of a different adaptive strategy? [J].
Bernardi, Luciano ;
Passino, Claudio ;
Spadacini, Giammario ;
Bonfichi, Maurizio ;
Arcaini, Luca ;
Malcovati, Luca ;
Bandinelli, Gabriele ;
Schneider, Annette ;
Keyl, Cornelius ;
Feil, Paul ;
Greene, Richard E. ;
Bernasconi, Carlo .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2007, 99 (05) :511-518
[8]   Mindfulness Meditation and Improvement in Sleep Quality and Daytime Impairment Among Older Adults With Sleep Disturbances A Randomized Clinical Trial [J].
Black, David S. ;
O'Reilly, Gillian A. ;
Olmstead, Richard ;
Breen, Elizabeth C. ;
Irwin, Michael R. .
JAMA INTERNAL MEDICINE, 2015, 175 (04) :494-501
[9]   Awakening is not a metaphor: the effects of Buddhist meditation practices on basic wakefulness [J].
Britton, Willoughby B. ;
Lindahl, Jared R. ;
Cahn, B. Rael ;
Davis, Jake H. ;
Goldman, Roberta E. .
ADVANCES IN MEDITATION RESEARCH: NEUROSCIENCE AND CLINICAL APPLICATIONS, 2014, 1307 :64-81
[10]   The effects of age and gender on sleep EEG power spectral density in the middle years of life (ages 20-60 years old) [J].
Carrier, J ;
Land, S ;
Buysse, DJ ;
Kupfer, DJ ;
Monk, TH .
PSYCHOPHYSIOLOGY, 2001, 38 (02) :232-242