The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
The underlying anatomical correlates of long-term meditation: Larger hippocampal and frontal volumes of gray matter
Open accessAbstract
Although the systematic study of meditation is still in its infancy, research has provided evidence for meditation-induced improvements in psychological and physiological well-being. Moreover, meditation practice has been shown not only to benefit higher-order cognitive functions but also to alter brain activity. Nevertheless, little is known about possible links to brain structure. Using high-resolution MRI data of 44 subjects, we set out to examine the underlying anatomical correlates of long-term meditation with different regional specificity (i.e., global, regional, and local). For this purpose, we applied voxel-based morphometry in association with a recently validated automated parcellation approach. We detected significantly larger gray matter volumes in meditators in the right orbito-frontal cortex (as well as in the right thalamus and left inferior temporal gyrus when co-varying for age and/or lowering applied statistical thresholds). In addition, meditators showed significantly larger volumes of the right hippocampus. Both orbito-frontal and hippocampal regions have been implicated in emotional regulation and response control. Thus, larger volumes in these regions might account for meditators' singular abilities and habits to cultivate positive emotions, retain emotional stability, and engage in mindful behavior. We further suggest that these regional alterations in brain structures constitute part of the underlying neurological correlate of long-term meditation independent of a specific style and practice. Future longitudinal analyses are necessary to establish the presence and direction of a causal link between meditation practice and brain anatomy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“long-term meditation practice can trigger meditation-specific neuroplastic changes in the brain regions underlying cognitive control and affective regulation”
From Potential therapeutic effects of meditation for treating affective dysregulation (2014) · cites this paper as [57]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A substantial body of research has evidenced that mindfulness and compassion meditation can have a positive impact on attention and affective regulation [54, 55] and can induce long-lasting morphological changes in the corresponding neural regions—specifically, the prefrontal cortices and amygdala [56–58].”
From Potential therapeutic effects of meditation for treating affective dysregulation (2014) · cites this paper as [57]
Experimental — accuracy not yet measuredIn the citing paper
“Studies of subcortical structures have found increased activation or gray matter density in tonic alertness–related areas in meditators, such as the thalamus,83,87,88 basal ganglia,48,88,109,110 and arousal-related areas of the brainstem, such as the reticular formation.111”
From Awakening is not a metaphor: the effects of Buddhist meditation practices on basic wakefulness (2014) · cites this paper as [83]
In the citing paper
“Meditation practice has been found to promote well-being by fostering cognitive and emotional processes [5, 6].”
From The meditative mind: a comprehensive meta-analysis of MRI studies. (2015) · cites this paper as [6]
In the citing paper
“Cross-sectional design studies comparing healthy controls with expert meditators (EMs) from different meditation traditions have demonstrated structural MRI changes in: the hippocampus (Hölzel et al., 2008; Luders et al., 2009; Kang et al., 2013); right anterior insula (AI; Lazar et al., 2005; Hölzel et al., 2008); orbitofrontal cortex (OFC; Hölzel et al., 2008; Luders et al., 2009; Kang et al., 2”
From Mindfulness and Emotion Regulation: Insights from Neurobiological, Psychological, and Clinical Studies (2017) · cites this paper as Luders et al., 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497 · cited 1×
“Further support for the assumption that increased GM in the orbito-frontal cortex might be associated with less habitual or automatic functioning comes from studying the neurobiological basis of the framing effect (Tversky and Kahneman, 1981).”
BackgroundThe benefits of being present: Mindfulness and its role in psychological well-being
Brown, K. W., & Ryan, R. M. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.4.822 · Cited by 13,448
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Neurogenesis in the adult human hippocampus
Eriksson, P. S., Perfilieva, E., Björk-Eriksson, T., Alborn, A.-M., Nordborg, C., Peterson, D. A., & Gage, F. H. (1998) · Nature Medicine · doi:10.1038/3305 · Cited by 6,369
Mindfulness training as a clinical intervention: a conceptual and empirical review
Baer, R. A. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bpg015 · Cited by 4,577
Mindfulness training as a clinical intervention: A conceptual and empirical review.
Baer, R. A. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy/bpg015 · Cited by 4,576
Mindfulness-based stress reduction and health benefits
Grossman, P., Niemann, L., Schmidt, S., & Walach, H. (2004) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(03)00573-7 · Cited by 3,958
Navigation-related structural change in the hippocampi of taxi drivers
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.070039597 · Cited by 3,225
Cited by
Sorted by citations
Hölzel, B. K., Lazar, S. W., Gard, T., Schuman-Olivier, Z., Vago, D. R., & Ott, U. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691611419671 · Cited by 3,024
The Neuroscience of Mindfulness Meditation
Tang, Y.-Y., Hölzel, B. K., & Posner, M. I. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3916 · Cited by 2,889
Cognitive and emotional control of pain and its disruption in chronic pain
Bushnell, M. C., Čeko, M., & Low, L. A. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3516 · Cited by 2,076
Mindfulness practice leads to increases in regional brain gray matter density
Hölzel, B. K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S. M., Gard, T., & Lazar, S. W. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2010.08.006 · Cited by 1,914
“…the benefits of meditation, due to its involvement in the modulation of cortical arousal and responsiveness (Newberg and Iversen, 2003), and morphological differences between meditators and non-meditators in the hippocampus have previously been reported (Hölzel et al., 2008; Luders et al., 2009).”
BackgroundInfluentialBrewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y.-Y., Weber, J., & Kober, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112029108 · Cited by 1,409
“found increased gray-matter concentration in the inferior temporal gyrus in experienced meditators (45).”
Background
Metadata
- Authors
- Luders, E., Toga, A. W., Lepore, N., & Gaser, C.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Toga, Arthur W.
- ORCID
- Toga, Arthur W.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 45
- Issue
- 3
- Pages
- 672-678
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3184843
- OpenAlex
- W2168283580
- Cited by
- 469
- References
- 45
- Citations by year
- 2026: 14 · 2025: 21 · 2024: 18 · 2023: 19 · 2022: 20 · 2021: 17 · 2020: 21 · 2019: 33 · 2018: 29 · 2017: 28 · 2016: 41 · 2015: 41 · 2014: 43 · 2013: 39 · 2012: 37
- FWCI
- 30.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (01EV0709)
- National Institutes of Health (U54 RR021813, P41 RR013642, M01 RR000865)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Keywords
- gray matter volume, hippocampus, thalamus, inferior temporal gyrus, brain structure, emotion regulation, response control, mindfulness, meditation practice
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Meditation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review