Increased Gamma Brainwave Amplitude Compared to Control in Three Different Meditation Traditions

Claire Braboszcz, B Rael Cahn, Jonathan Levy, Manuel Fernandez, Arnaud Delorme, Claire Braboszcz, B Rael Cahn, Jonathan Levy, Manuel Fernandez, Arnaud Delorme

Abstract

Despite decades of research, effects of different types of meditation on electroencephalographic (EEG) activity are still being defined. We compared practitioners of three different meditation traditions (Vipassana, Himalayan Yoga and Isha Shoonya) with a control group during a meditative and instructed mind-wandering (IMW) block. All meditators showed higher parieto-occipital 60-110 Hz gamma amplitude than control subjects as a trait effect observed during meditation and when considering meditation and IMW periods together. Moreover, this gamma power was positively correlated with participants meditation experience. Independent component analysis was used to show that gamma activity did not originate in eye or muscle artifacts. In addition, we observed higher 7-11 Hz alpha activity in the Vipassana group compared to all the other groups during both meditation and instructed mind wandering and lower 10-11 Hz activity in the Himalayan yoga group during meditation only. We showed that meditation practice is correlated to changes in the EEG gamma frequency range that are common to a variety of meditation practices.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. The continuum of attentional engagement,…
Fig 1. The continuum of attentional engagement, from the high level of focused attention to more diffuse“open monitoring” or “open awareness” meditation.
The three meditation traditions we chose to include in our study can be placed along this continuum, each corresponding to a different focus of attention. Himalayan Yoga tradition uses a mantra to maintain the attentional focus, Vipassana tradition is primarily an open monitoring practice but the specific form assayed (as taught by S. N. Goenka) incorporates loose focus on the somatosensory awareness aspect and the Shoonya practice as taught in the Isha Yoga tradition is an open awareness meditation practice with no specific object to focus on.
Fig 2. Experimental protocol.
Fig 2. Experimental protocol.
The first 10 minutes of the meditation block (MED) are considered a preparatory period helping to relax for the meditation practice. Meditators then switched to their specific meditation practice for the last 10 minutes of the block. Control subjects practiced breath watching throughout the whole MED block. For the sake of consistency, we kept the length of the instructed mind-wandering block (IMW) equal to the length of the meditation block. When analyzing the data we compared the last 10 minutes of the MED block to the last 10 minutes of the IMW block. Half the subjects passed the blocks in the order presented on panel A, the other half passed the blocks as shown on panel B.
Fig 3. Spectral decomposition for occipital electrode…
Fig 3. Spectral decomposition for occipital electrode Oz during the meditation condition in all 4 groups of subjects (CTR is the Control group; HYT is the Himalayan Yoga Tradition group; ISY is the Isha Shoonya Yoga group; VIP is the Vipassana group).
Shaded regions indicate the standard error of the mean. The grey shaded area indicates the region of statistical differences between the groups after correction for multiple comparisons (see Material and Methods). The region around 50 Hz has been blanked out on the plot as it corresponds to line noise and has been excluded from analysis.
Fig 4
Fig 4
A. Spectral differences in the 60–110 Hz range between the control group and each of the meditator groups with MED and IMW conditions combined. A black dot at a given electrode site indicates significance at p

Fig 5

A. Average scalp topography of…

Fig 5

A. Average scalp topography of independent components’ activity corresponding to eye related artifacts.…

Fig 5
A. Average scalp topography of independent components’ activity corresponding to eye related artifacts. B. Average scalp topographies of independent components’ activity for left and right temporal muscle activity. C. No difference was observed between groups for eye movement independent components’ spectral activity in the meditation condition. D. Pooled left and right muscle ICA components spectral activity for the meditation condition indicate no significant difference between the 4 groups of subjects. E. There is a positive correlation between the 60–110 Hz activity in the components of eye related artifacts and the 60–110 Hz activity recorded over the parieto-occipital electrodes in combined MED and IMW conditions (skipped Pearson’ s r = 0.33, CI = [0.10 0.56]). F. The 60–110 Hz activity in the artifactual components related to eye artifacts do not correlate with meditation experience (skipped Pearson’s r = −0.006, CI = [-0.29 0.30]). In both panels C and D the shaded area around the curves represents the standard error to the mean. In panels E and F the shaded area represents the 95% confidence interval (CI).

Fig 6

A. Spectral differences in the…

Fig 6

A. Spectral differences in the 7–11 Hz range between the Vipassana group and…

Fig 6
A. Spectral differences in the 7–11 Hz range between the Vipassana group and the control, the Himalayan Yoga and the Isha Yoga groups. A black dot indicates significance at p
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    1. Braboszcz C, Hahusseau S, Delorme A. Meditation and Neuroscience: from basic research to clinical practice In: Carlstedt RA, editor. Handbook of Integrative Clinical Psychology, Psychiatry, and Behavioral Medicine: Perspectives, Practices, and Research. Springer Publishing Co Inc; 2010. p. 1910–1929.
    1. Ludwig DS. and Kabat-Zinn J Mindfulness in Medicine. JAMA. 2008;300(11):1350–1352. 10.1001/jama.300.11.1350 - DOI - PubMed
    1. Segal ZV, Bieling P, Young T, MacQueen G, Cooke R, Martin L, et al. Antidepressant Monotherapy vs Sequential Pharmacotherapy and Mindfulness-Based Cognitive Therapy, or Placebo, for Relapse Prophylaxis in Recurrent Depression. Archives of General Psychiatry. 2010;67(12):1256–1264. 10.1001/archgenpsychiatry.2010.168 - DOI - PMC - PubMed
    1. Slagter HA, Lutz A, Greischar LL, Francis AD, Nieuwenhuis S, Davis JM, et al. Mental Training Affects Distribution of Limited Brain Resources. PLoS Biology. 2007;5(6):e138 10.1371/journal.pbio.0050138 - DOI - PMC - PubMed
    1. Wenk-Sormaz H. Meditation can reduce habitual responding. Alternative Therapies in Health and Medicine. 2005;11(2):42–59. - PubMed
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This work was supported by BIAL foundation (grant 162/08, https://www.bial.com/en/bial_foundation.11/grants.18/grants_for_scientific_research_.a38.html) to AD, Mind and Life Institute Varela grant 2009 (https://www.mindandlife.org/varela-awards/) to BRC, Centre Nationale pour la Recherche Scientifique PhD grant to CB, and Fondation pour la Recherche Médicale (FRM) PhD extension grant to CB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Fig 5
Fig 5
A. Average scalp topography of independent components’ activity corresponding to eye related artifacts. B. Average scalp topographies of independent components’ activity for left and right temporal muscle activity. C. No difference was observed between groups for eye movement independent components’ spectral activity in the meditation condition. D. Pooled left and right muscle ICA components spectral activity for the meditation condition indicate no significant difference between the 4 groups of subjects. E. There is a positive correlation between the 60–110 Hz activity in the components of eye related artifacts and the 60–110 Hz activity recorded over the parieto-occipital electrodes in combined MED and IMW conditions (skipped Pearson’ s r = 0.33, CI = [0.10 0.56]). F. The 60–110 Hz activity in the artifactual components related to eye artifacts do not correlate with meditation experience (skipped Pearson’s r = −0.006, CI = [-0.29 0.30]). In both panels C and D the shaded area around the curves represents the standard error to the mean. In panels E and F the shaded area represents the 95% confidence interval (CI).
Fig 6
Fig 6
A. Spectral differences in the 7–11 Hz range between the Vipassana group and the control, the Himalayan Yoga and the Isha Yoga groups. A black dot indicates significance at p

References

    1. Braboszcz C, Hahusseau S, Delorme A. Meditation and Neuroscience: from basic research to clinical practice In: Carlstedt RA, editor. Handbook of Integrative Clinical Psychology, Psychiatry, and Behavioral Medicine: Perspectives, Practices, and Research. Springer Publishing Co Inc; 2010. p. 1910–1929.
    1. Ludwig DS. and Kabat-Zinn J Mindfulness in Medicine. JAMA. 2008;300(11):1350–1352. 10.1001/jama.300.11.1350
    1. Segal ZV, Bieling P, Young T, MacQueen G, Cooke R, Martin L, et al. Antidepressant Monotherapy vs Sequential Pharmacotherapy and Mindfulness-Based Cognitive Therapy, or Placebo, for Relapse Prophylaxis in Recurrent Depression. Archives of General Psychiatry. 2010;67(12):1256–1264. 10.1001/archgenpsychiatry.2010.168
    1. Slagter HA, Lutz A, Greischar LL, Francis AD, Nieuwenhuis S, Davis JM, et al. Mental Training Affects Distribution of Limited Brain Resources. PLoS Biology. 2007;5(6):e138 10.1371/journal.pbio.0050138
    1. Wenk-Sormaz H. Meditation can reduce habitual responding. Alternative Therapies in Health and Medicine. 2005;11(2):42–59.
    1. Tang YY, Ma Y, Wang J, Fan Y, Feng S, Lu Q, et al. Short-term meditation training improves attention and self-regulation. Proceedings of the National Academy of Sciences. 2007;104(43):17152–17156. 10.1073/pnas.0707678104
    1. Baijal S, Jha A, Kiyonaga A, Singh R, Srinivasan N. The Influence of Concentrative Meditation Training on the Development of Attention Networks during Early Adolescence. Frontiers in Psychology. 2011;2:153 10.3389/fpsyg.2011.00153
    1. Brefczynski-Lewis JA, Lutz A, Schaefer HS, Levinson DB, Davidson RJ. Neural correlates of attentional expertise in long-term meditation practitioners. Proceedings of the National Academy of Sciences. 2007;104(27):11483–11488. 10.1073/pnas.0606552104
    1. Orme-Johnson DW, Schneider RH, Son YD, Nidich S, Cho ZH. Neuroimaging of meditation’s effect on brain reactivity to pain. NeuroReport. 2006;17(12):1359–1363. 10.1097/01.wnr.0000233094.67289.a8
    1. Luders E, Phillips OR, Clark K, Kurth F, Toga AW, Narr KL. Bridging the hemispheres in meditation: Thicker callosal regions and enhanced fractional anisotropy (FA) in long-term practitioners. NeuroImage. 2012;61(1):181–187. 10.1016/j.neuroimage.2012.02.026
    1. Pagnoni G, Cekic M. Age effects on gray matter volume and attentional performance in Zen meditation. Neurobiology of Aging. 2007;28(10):1623–1627. 10.1016/j.neurobiolaging.2007.06.008
    1. Hoelzel BK, Carmody J, Vangel M, Congleton C, Yerramsetti SM, Gard T, et al. Mindfulness practice leads to increases in regional brain gray matter density. Psychiatry Research: Neuroimaging. 2011;191(1):36–43. 10.1016/j.pscychresns.2010.08.006
    1. Fox KCR, Nijeboer S, Dixon ML, Floman JL, Ellamil M, Rumak SP, et al. Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners. Neuroscience & Biobehavioral Reviews. 2014;43:48–73. 10.1016/j.neubiorev.2014.03.016
    1. Lutz A, Brefczynski-Lewis J, Johnstone T, Davidson RJ. Regulation of the Neural Circuitry of Emotion by Compassion Meditation: Effects of Meditative Expertise. PLoS ONE. 2008;3(3):e1897 10.1371/journal.pone.0001897
    1. Cahn BR, Polich J. Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological Bulletin. 2006;132(2):180–211. 10.1037/0033-2909.132.2.180
    1. Lutz A, Greischar LL, Rawlings NB, Ricard M, Davidson RJ. Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proceedings of the National Academy of Sciences. 2004;101(46):16369–16373. 10.1073/pnas.0407401101
    1. Cahn BR, Delorme A, Polich J. Occipital gamma activation during Vipassana meditation. Cognitive Processing. 2009;11(1):39–56. 10.1007/s10339-009-0352-1
    1. Berkovich-Ohana A, Glicksohn J, Goldstein A. Mindfulness-induced changes in gamma band activity—Implications for the default mode network, self-reference and attention. Clinical Neurophysiology. 2012;123(4):700–710. 10.1016/j.clinph.2011.07.048
    1. Ferrarelli F, Smith R, Dentico D, Riedner BA, Zennig C, Benca RM, et al. Experienced Mindfulness Meditators Exhibit Higher Parietal-Occipital EEG Gamma Activity during NREM Sleep. PLoS ONE. 2013;8(8):e73417 10.1371/journal.pone.0073417
    1. Hauswald A, Übelacker T, Leske S, Weisz N. What it means to be Zen: Marked modulations of local and interareal synchronization during open monitoring meditation. NeuroImage. 2015;108:265–273. 10.1016/j.neuroimage.2014.12.065
    1. Gaillard R, Dehaene S, Adam C, Clémenceau S, Hasboun D, Baulac M, et al. Converging Intracranial Markers of Conscious Access. PLoS Biology. 2009;7(3):e1000061 10.1371/journal.pbio.1000061
    1. Varela F, Lachaux JP, Rodriguez E, Martinerie J. The brainweb: Phase synchronization and large-scale integration. Nature Reviews Neuroscience. 2001;2(4):229–239. 10.1038/35067550
    1. Salinas E, Sejnowski TJ. Correlated neuronal activity and the flow of neural information. Nature Reviews Neuroscience. 2001;2(8):539–550. 10.1038/35086012
    1. Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends in Cognitive Sciences. 2005;9(10):474–480. 10.1016/j.tics.2005.08.011
    1. Lachaux JP, George N, Tallon-Baudry C, Martinerie J, Hugueville L, Minotti L, et al. The many faces of the gamma band response to complex visual stimuli. NeuroImage. 2005;25(2):491–501. 10.1016/j.neuroimage.2004.11.052
    1. Jokisch D, Jensen O. Modulation of Gamma and Alpha Activity during a Working Memory Task Engaging the Dorsal or Ventral Stream. Journal of Neuroscience. 2007;27(12):3244–3251. 10.1523/JNEUROSCI.5399-06.2007
    1. Tallon-Baudry C. Attention Modulates Gamma-band Oscillations Differently in the Human Lateral Occipital Cortex and Fusiform Gyrus. Cerebral Cortex. 2004;15(5):654–662. 10.1093/cercor/bhh167
    1. Landau AN, Esterman M, Robertson LC, Bentin S, Prinzmetal W. Different Effects of Voluntary and Involuntary Attention on EEG Activity in the Gamma Band. Journal of Neuroscience. 2007;27(44):11986–11990. 10.1523/JNEUROSCI.3092-07.2007
    1. Xing D, Shen Y, Burns S, Yeh CI, Shapley R, Li W. Stochastic Generation of Gamma-Band Activity in Primary Visual Cortex of Awake and Anesthetized Monkeys. Journal of Neuroscience. 2012;32(40):13873–13880a. 10.1523/JNEUROSCI.5644-11.2012
    1. Buzsáki G, Wang XJ. Mechanisms of Gamma Oscillations. Annual Review of Neuroscience. 2012;35(1):203–225. 10.1146/annurev-neuro-062111-150444
    1. Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature. 2001;412(6843):150–157. 10.1038/35084005
    1. Conner CR, Ellmore TM, Pieters TA, DiSano MA, Tandon N. Variability of the Relationship between Electrophysiology and BOLD-fMRI across Cortical Regions in Humans. Journal of Neuroscience. 2011;31(36):12855–12865. 10.1523/JNEUROSCI.1457-11.2011
    1. Lutz A, Dunne JD, Davidson RJ. Meditation and the neuroscience of consciousness: An introduction. The Cambridge handbook of consciousness. 2007;19:497–549. 10.1017/CBO9780511816789.020
    1. Lutz A, Slagter HA, Dunne JD, Davidson RJ. Attention regulation and monitoring in meditation. Trends in Cognitive Sciences. 2008;12(4):163–169. 10.1016/j.tics.2008.01.005
    1. Cahn BR, Polich J. Meditation (Vipassana) and the P3a event-related brain potential. International Journal of Psychophysiology. 2009;72(1):51–60. 10.1016/j.ijpsycho.2008.03.013
    1. Aftanas LI, Golocheikine SA. Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neuroscience Letters. 2001;310(1):57–60.
    1. Takahashi T, Murata T, Hamada T, Omori M, Kosaka H, Kikuchi M, et al. Changes in EEG and autonomic nervous activity during meditation and their association with personality traits. International Journal of Psychophysiology. 2005;55(2):199–207. 10.1016/j.ijpsycho.2004.07.004
    1. Baijal S, Srinivasan N. Theta activity and meditative states: spectral changes during concentrative meditation. Cognitive Processing. 2009;11(1):31–38. 10.1007/s10339-009-0272-0
    1. Kerr CE, Jones SR, Wan Q, Pritchett DL, Wasserman RH, Wexler A, et al. Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex. Brain Research Bulletin. 2011;85(3–4):96–103. 10.1016/j.brainresbull.2011.03.026
    1. Snyder DN. The complete book of of Buddha’s lists—explained. Vipassana Foundation, Las Vegas, Nevada, USA; 2009.
    1. Hart W. The art of living: Vipassana meditation as taught by S. N. Goenka. San Francisco: HarperCollins; 1987.
    1. Arya U, Bharati SV. Philosophy of hatha yoga. Himalayan International Institute of Yoga Science and Philosophy of the USA; 1985.
    1. Bharati SV. Night Birds. Rishikesh:SRSG Publications; 2002.
    1. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods. 2004;134(1):9–21. 10.1016/j.jneumeth.2003.10.009
    1. Delorme A, Sejnowski T, Makeig S. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage. 2007;34(4):1443–1449. 10.1016/j.neuroimage.2006.11.004
    1. Viola FC, Thorne J, Edmonds B, Schneider T, Eichele T, Debener S. Semi-automatic identification of independent components representing EEG artifact. Clinical Neurophysiology. 2009;120(5):868–877. 10.1016/j.clinph.2009.01.015
    1. Piron H. The meditation depth index (MEDI) and the meditation depth questionnaire (MEDEQ). Journal for Meditation and Meditation Research. 2001;1(1):69–92.
    1. Welch BL. On the Comparison of Several Mean Values: An Alternative Approach. Biometrika. 1951;38(3/4):330 10.2307/2332579
    1. Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience. 2011;2011:1–9. 10.1155/2011/156869
    1. Maris E, Oostenveld R. Nonparametric statistical testing of EEG- and MEG-data. Journal of Neuroscience Methods. 2007;164(1):177–190. 10.1016/j.jneumeth.2007.03.024
    1. Pernet CR, Wilcox R, Rousselet GA. Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox. Frontiers in Psychology. 2013;3:606 10.3389/fpsyg.2012.00606
    1. Wickham H. ggplot2: elegant graphics for data analysis. Springer; New York; 2009. 10.1007/978-0-387-98141-3
    1. Yuval-Greenberg S, Deouell LY. The Broadband-Transient Induced Gamma-Band Response in Scalp EEG Reflects the Execution of Saccades. Brain Topography. 2009;22(1):3–6. 10.1007/s10548-009-0077-6
    1. Shackman AJ, McMenamin BW, Slagter HA, Maxwell JS, Greischar LL, Davidson RJ. Electromyogenic Artifacts and Electroencephalographic Inferences. Brain Topography. 2009;22(1):7–12. 10.1007/s10548-009-0079-4
    1. Olson JD, Wander JD, Johnson L, Sarma D, Weaver K, Novotny EJ, et al. Comparison of subdural and subgaleal recordings of cortical high-gamma activity in humans. Clinical Neurophysiology. 2016;127(1):277–284. 10.1016/j.clinph.2015.03.014
    1. Koch SP, Werner P, Steinbrink J, Fries P, Obrig H. Stimulus-Induced and State-Dependent Sustained Gamma Activity Is Tightly Coupled to the Hemodynamic Response in Humans. Journal of Neuroscience. 2009;29(44):13962–13970. 10.1523/JNEUROSCI.1402-09.2009
    1. Schadow J, Lenz D, Dettler N, Fründ I, Herrmann CS. Early gamma-band responses reflect anticipatory top-down modulation in the auditory cortex. NeuroImage. 2009;47(2):651–658. 10.1016/j.neuroimage.2009.04.074
    1. Kinsey K, Anderson SJ, Hadjipapas A, Holliday IE. The role of oscillatory brain activity in object processing and figure–ground segmentation in human vision. International Journal of Psychophysiology. 2011;79(3):392–400. 10.1016/j.ijpsycho.2010.12.007
    1. Engell AD, McCarthy G. Selective Attention Modulates Face-Specific Induced Gamma Oscillations Recorded from Ventral Occipitotemporal Cortex. Journal of Neuroscience. 2010;30(26):8780–8786. 10.1523/JNEUROSCI.1575-10.2010
    1. Colby CL, Goldberg ME. SPACE AND ATTENTION IN PARIETAL CORTEX. Annual Review of Neuroscience. 1999;22(1):319–349. 10.1146/annurev.neuro.22.1.319
    1. Fries P. Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention. Science. 2001;291(5508):1560–1563. 10.1126/science.291.5508.1560
    1. Haegens S, Osipova D, Oostenveld R, Jensen O. Somatosensory working memory performance in humans depends on both engagement and disengagement of regions in a distributed network. Human Brain Mapping. 2010;31(1):26–35. 10.1002/hbm.20842
    1. Ossandón T, Vidal JR, Ciumas C, Jerbi K, Hamamé CM, Dalal SS, et al. Efficient “Pop-Out” Visual Search Elicits Sustained Broadband Gamma Activity in the Dorsal Attention Network. The Journal of Neuroscience. 2012;32(10):3414–3421. 10.1523/JNEUROSCI.6048-11.2012
    1. Ewerdwalbesloh JA, Palva S, Rösler F, Khader PH. Neural correlates of maintaining generated images in visual working memory. Human Brain Mapping. 2016;37(12):4349–4362. 10.1002/hbm.23313
    1. Schwartzman DJ, Kranczioch C. In the blink of an eye: The contribution of microsaccadic activity to the induced gamma band response. International Journal of Psychophysiology. 2011;79(1):73–82. 10.1016/j.ijpsycho.2010.10.006
    1. Chiesa A, Malinowski P. Mindfulness-based approaches: are they all the same? Journal of Clinical Psychology. 2011;67(4):404–424. 10.1002/jclp.20776
    1. Cooper NR, Croft RJ, Dominey SJJ, Burgess AP, Gruzelier JH. Paradox lost? Exploring the role of alpha oscillations during externally vs. internally directed attention and the implications for idling and inhibition hypotheses. International Journal of Psychophysiology. 2003;47(1):65–74. 10.1016/S0167-8760(02)00107-1
    1. Klimesch W, Sauseng P, Hanslmayr S. EEG alpha oscillations: The inhibition–timing hypothesis. Brain Research Reviews. 2007;53(1):63–88. 10.1016/j.brainresrev.2006.06.003
    1. Thut G. α -Band Electroencephalographic Activity over Occipital Cortex Indexes Visuospatial Attention Bias and Predicts Visual Target Detection. Journal of Neuroscience. 2006;26(37):9494–9502. 10.1523/JNEUROSCI.0875-06.2006
    1. Jensen O, Mazaheri A. Shaping functional architecture by oscillatory alpha activity: gating by inhibition. Frontiers in human neuroscience. 2010;4:186 10.3389/fnhum.2010.00186
    1. Kerr CE, Sacchet MD, Lazar SW, Moore CI, Jones SR. Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation. Frontiers in Human Neuroscience. 2013;7:12 10.3389/fnhum.2013.00012
    1. Lagopoulos J, Xu J, Rasmussen I, Vik A, Malhi GS, Eliassen CF, et al. Increased Theta and Alpha EEG Activity During Nondirective Meditation. The Journal of Alternative and Complementary Medicine. 2009;15(11):1187–1192. 10.1089/acm.2009.0113
    1. Travis F, Wallace RK. Autonomic and EEG Patterns during Eyes-Closed Rest and Transcendental Meditation (TM) Practice: The Basis for a Neural Model of TM Practice. Consciousness and Cognition. 1999;8(3):302–318. 10.1006/ccog.1999.0403
    1. Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proceedings of the National Academy of Sciences. 2001;98(2):676–682. 10.1073/pnas.98.2.676
    1. Mason MF, Norton MI, Horn JDV, Wegner DM, Grafton ST, Macrae CN. Wandering Minds: The Default Network and Stimulus-Independent Thought. Science. 2007;315(5810):393–395. 10.1126/science.1131295
    1. Christoff K, Gordon AM, Smallwood J, Smith R, Schooler JW. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences. 2009;106(21):8719–8724. 10.1073/pnas.0900234106
    1. Fox KCR, Spreng RN, Ellamil M, Andrews-Hanna JR, Christoff K. The wandering brain: Meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes. NeuroImage. 2015;111:611–621. 10.1016/j.neuroimage.2015.02.039
    1. Brewer JA, Worhunsky PD, Gray JR, Tang YY, Weber J, Kober H. Meditation experience is associated with differences in default mode network activity and connectivity. Proceedings of the National Academy of Sciences. 2011;108(50):20254–20259. 10.1073/pnas.1112029108
    1. Pagnoni G. Dynamical Properties of BOLD Activity from the Ventral Posteromedial Cortex Associated with Meditation and Attentional Skills. Journal of Neuroscience. 2012;32(15):5242–5249. 10.1523/JNEUROSCI.4135-11.2012
    1. Goyal M, Singh S, Sibinga EMS, Gould NF, Rowland-Seymour A, Sharma R, et al. Meditation Programs for Psychological Stress and Well-being. JAMA Internal Medicine. 2014;174(3):357 10.1001/jamainternmed.2013.13018

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