The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.
Enhanced brain connectivity in long-term meditation practitioners
Open accessAbstract
Very little is currently known about the cerebral characteristics that underlie the complex processes of meditation as only a limited number of studies have addressed this topic. Research exploring structural connectivity in meditation practitioners is particularly rare. We thus acquired diffusion tensor imaging (DTI) data of high angular and spatial resolution and used atlas-based tract mapping methods to investigate white matter fiber characteristics in a well-matched sample of long-term meditators and controls (n=54). A broad field mapping approach estimated the fractional anisotropy (FA) for twenty different fiber tracts (i.e., nine tracts in each hemisphere and two inter-hemispheric tracts) that were subsequently used as dependent measures. Results showed pronounced structural connectivity in meditators compared to controls throughout the entire brain within major projection pathways, commissural pathways, and association pathways. The largest group differences were observed within the corticospinal tract, the temporal component of the superior longitudinal fasciculus, and the uncinate fasciculus. While cross-sectional studies represent a good starting point for elucidating possible links between meditation and white matter fiber characteristics, longitudinal studies will be necessary to determine the relative contribution of nature and nurture to enhanced structural connectivity in long-term meditators.
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
“Furthermore, in the longer term, experienced mindfulness meditators showed increased FA compared to meditation-naïve controls (Kang et al., 2013; Luders et al., 2011; Laneri et al., 2015).”
From Acceptance and Commitment Therapy and white matter plasticity in individuals with subclinical depression and psychotic experiences: A Randomised Controlled Trial (2023) · cites this paper as Luders et al., 2011
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
“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 [58]
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 [58]
Experimental — accuracy not yet measured
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 basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Anderson, E., Bai, Z., Bischof, C., Blackford, L. S., Demmel, J., Dongarra, J. J., Croz, J. D., Greenbaum, A., Hammarling, S. J., McKenney, A., et al. (1999) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898719604 · Cited by 4,493
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Alterations in brain and immune function produced by mindfulness meditation
Davidson, R. J., Kabat-Zinn, J., Schumacher, J., Rosenkranz, M., Muller, D., Santorelli, S. F., Urbanowski, F., Harrington, A., Bonus, K., & Sheridan, J. F. (2003) · Psychosomatic Medicine · doi:10.1097/01.psy.0000077505.67574.e3 · Cited by 2,925 · cited 2×
“On the other hand, if practiced regularly and over years, meditation might slow down aging-relating brain atrophy, perhaps due to altering (i.e., positively affecting) autonomic regulation and immune activity (Cysarz and Bussing, 2005; Davidson et al., 2003; Kubota et al., 2001).”
BackgroundDysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Changes in grey matter induced by training
Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., & May, A. (2004) · Nature · doi:10.1038/427311a · Cited by 2,373
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
Design and construction of a realistic digital brain phantom
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.712135 · Cited by 1,825
Meditation states and traits: EEG, ERP, and neuroimaging studies.
Cahn, B. R., & Polich, J. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.2.180 · Cited by 1,734
Flagged first, then by citations
1 of the 52 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
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
Brewer, 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
Fox, K. C. R., Nijeboer, S., Dixon, M. L., Floman, J. L., Ellamil, M., Rumak, S. P., Sedlmeier, P., & Christoff, K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.016 · Cited by 804
Conceptual and methodological issues in research on mindfulness and meditation.
Davidson, R. J., & Kaszniak, A. W. (2015) · American Psychologist · doi:10.1037/a0039512 · Cited by 773
Desbordes, G., Negi, L. T., Pace, T. W. W., Wallace, B. A., Raison, C. L., & Schwartz, E. L. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00292 · Cited by 458
Metadata
- Authors
- Luders, E., Clark, K., Narr, K. L., & Toga, A. W.
- Affiliations
- University of California, Los Angeles (US)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 57
- Issue
- 4
- Pages
- 1308-1316
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3176828
- OpenAlex
- W2023032892
- Cited by
- 209
- References
- 52
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 5 · 2023: 12 · 2022: 10 · 2021: 16 · 2020: 16 · 2019: 18 · 2018: 15 · 2017: 16 · 2016: 15 · 2015: 24 · 2014: 14 · 2013: 23 · 2012: 12
- FWCI
- 12.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Brain Mapping Medical Research Organization
- Robson Family
- Northstar Fund
- Brain Mapping Support
- Pierson-Lovelace
- Ahmanson
- Tamkin
- William M. & Linda R. Dietel Philanthropic Fund at the Northern Piedmont Community
- Jennifer Jones-Simon
- Capital Group Companies
- National Institutes of Health (U54 RR021813, P41 RR013642, M01 RR000865)
- National Center for Research Resources (RR12169, RR13642, RR00865)
- Human Brain Project (P20-MHDA52176, 5P01-EB001955)
- Biomedical Imaging & Bioengineering
- Mental Health
- Drug Abuse
- Cancer
- Neurologic Disease & Stroke
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- meditation, long-term meditators, structural brain connectivity, white matter, fractional anisotropy, corticospinal tract, superior longitudinal fasciculus, uncinate fasciculus, commissural pathways, diffusion tensor imaging, tractography
- MeSH terms
- Brain, Brain Mapping, Female, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Neural Pathways, Anisotropy, 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