ArticlePloS one2020
Larger whole brain grey matter associated with long-term Sahaja Yoga Meditation: A detailed area by area comparison.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of mindfulness-based exercise on Parkinson's disease and Alzheimer's disease: a systematic review and meta-analysis.Frontiers in neurology · 2026Pooled it
- Yoga Prevents Gray Matter Atrophy in Women at Risk for Alzheimer's Disease: A Randomized Controlled Trial.Journal of Alzheimer's disease : JAD · 2022Trial
- Neuroimaging and consciousness: applications of PET, SPECT, and advanced MRI modalities.American journal of nuclear medicine and molecular imaging · 2026Review
- Striatal functional connectivity associated with Sahaja Yoga meditation.Scientific reports · 2025Article
- Meditation Linked to Enhanced MRI Signal Intensity in the Pineal Gland and Reduced Predicted Brain Age.Journal of pineal research · 2025Article
- Meditation Experience is Associated with Increased Structural Integrity of the Pineal Gland and greater total Grey Matter maintenance.medRxiv : the preprint server for health sciences · 2024Article
- Neuroimaging evaluation of the long term impact of a novel paired meditation practice on brain function.Frontiers in neuroimaging · 2024Article
- Enhanced amygdala-anterior cingulate white matter structural connectivity in Sahaja Yoga Meditators.PloS one · 2024Article
- Monitoring the neural activity associated with praying in Sahaja Yoga meditation.BMC neuroscience · 2023Article
- Purpose in life promotes resilience to age-related brain burden in middle-aged adults.Alzheimer's research & therapy · 2023Article
- Review
- Resting State Functional Connectivity Associated With Sahaja Yoga Meditation.Frontiers in human neuroscience · 2021Article
- The Effect of Yoga Meditation Practice on Young Adults' Inhibitory Control: An fNIRS Study.Frontiers in human neuroscience · 2021Article
- Effects of Yoga on the Efficiency of the Attentional Networks in Competitive Archers: A Randomized Controlled Trial.International journal of yogaArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesOur previous study showed that long-term practitioners of Sahaja Yoga Meditation (SYM) had around 7% larger grey matter volume (GMV) in the whole brain compared with healthy controls; however, when testing individual regions, only 5 small brain areas were statistically different between groups. Under the hypothesis that those results were statistically conservative, with the same dataset, we investigated in more detail the regional differences in GMV associated with the practice of SYM, with a different statistical approach.
designTwenty-three experienced practitioners of SYM and 23 healthy non-meditators matched on age, sex and education level, were scanned using structural magnetic resonance imaging (MRI). Their GMV were extracted and compared using Voxel-Based Morphometry (VBM). Using a novel ad-hoc general linear model, statistical comparisons were made to observe if the GMV differences between meditators and controls were statistically significant.
resultsIn the 16 lobe area subdivisions, GMV was statistically significantly different in 4 out of 16 areas: in right hemispheric temporal and frontal lobes, left frontal lobe and brainstem. In the 116 AAL area subdivisions, GMV difference was statistically significant in 11 areas. The GMV differences were statistically more significant in right hemispheric brain areas.
conclusionsThe study shows that long-term practice of SYM is associated with larger GMV overall, and with significant differences mainly in temporal and frontal areas of the right hemisphere and the brainstem. These neuroplastic changes may reflect emotional and attentional control mechanisms developed with SYM. On the other hand, our statistical ad-hoc method shows that there were more brain areas with statistical significance compared to the traditional methodology which we think is susceptible to conservative Type II errors.
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