Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity

Frontiers in Human Neuroscience

Volumn , Issue SEPTEMBER, 2012, Pages

  Saggar, Manish ^a,b   King, Brandon G ^c   Zanesco, Anthony P ^c   MacLean, Katherine A ^d   Aichele, Stephen R ^c   Jacobs, Tonya L ^c   Bridwell, David A ^e   Shaver, Phillip R ^c   Rosenberg, Erika L ^c   Sahdra, Baljinder K ^f   Ferrer, Emilio ^c   Tang, Akaysha C ^g   Mangun, George R ^c   Alan Wallace, B ^h   Miikkulainen, Risto ^b   Saron, Clifford D ^c,i  

^a STANFORD UNIVERSITY   (United States)

^b University of Texas at Austin   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

^e MIND RESEARCH NETWORK   (United States)

^f UNIVERSITY OF WESTERN SYDNEY   (Australia)

^g UNIVERSITY OF NEW MEXICO   (United States)

^h Santa Barbara Institute for Consciousness Studies   (United States)

ⁱ UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Attention; Beta; EEG; Individual alpha frequency; Meditation; Training

Indexed keywords

ALPHA RHYTHM; ARTICLE; ATTENTION; BETA RHYTHM; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EXECUTIVE FUNCTION; HUMAN; HUMAN EXPERIMENT; MEDITATION; MENTAL TASK; NEUROPHYSIOLOGICAL RECRUITMENT; NEUROPHYSIOLOGY; OSCILLATION; PREDICTION; PSYCHOLOGIC ASSESSMENT; PSYCHOLOGICAL WELL BEING; TACTILE FEEDBACK; TRAINING;

EID: 84867176990     PISSN: None     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2012.00256     Document Type: Article

References (72)

1. Androulidakis, A. G., Doye, L. M. F., Yarrow, K., Litvak, V., Gilbertson, T. P., and Brown, P. (2007). Anticipatory changes in beta synchrony in the human corticospinal system and associated improvements in task performance. Eur. J. Neurosci. 25, 3758-3765.
2. Belouchrani, A., Abed-Meriam, K., Cardoso, J.-F., and Moulines, E. (1997). A blind source separation technique using second-order statistics. IEEE Trans. Signal Process. 45, 434-444.
3. Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B 57, 289-300.
4. Berman, M. G., Jonides, J., and Kaplan, S. (2008). The cognitive benefits of interacting with nature. Psychol. Sci. 19, 1207-1212.
5. Bollimunta, A., Mo, J., Schroeder, C. E., and Ding, M. (2011). Neuronal mechanisms and atten-tionalmodulationofcorticothalamic alpha oscillations. J. Neurosci. 31, 4935-4943.
6. Brefczynski-Lewis, J. A., Lutz, A., Schaefer, H. S., Levinson, D. B., and Davidson, R. J. (2007). Neural correlates of attentional expertise in long-term meditation practitioners. Proc. Natl. Acad. Sci. U.S.A. 104, 11483-11488.
7. Cahn, B. R., Delorme, A., and Polich, J. (2010). Occipital gamma activation during Vipassana meditation. Cogn. Process. 11, 39-56.
8. Cahn, B. R., and Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132, 180-211.
9. Congedo, M., Guoy-Pailler, C., and Jutten, C. (2008). On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics. Clin. Neurophysiol. 119, 2677-2686.
10. Dockstader, C., Cheyne, D., and Tannock, R. (2010). Cortical dynamics of selective attention to somatosensory events. Neuroimage 49, 1777-1785.
11. Ekman, P., Davidson, R. J., Ricard, M., and Wallace, B. A. (2005). Buddhist and psychological perspectives on emotions and well-being. Curr. Dir. Psychol. Sci. 14, 59-63.
12. Engel, A. K., and Fries, P. (2010). Beta-band oscillations-Signaling the status quo? Curr. Opin. Neurobiol. 20, 156-165.
13. Foxe, J. J., and Snyder, A. C. (2011). The role of alpha-band brain oscillations as a sensory suppression mechanism during selective attention. Front. Psychol. 2:154. doi: 10.3389/fpsyg.2011.00154
14. Fries, P. (2005). A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn. Sci. 9, 474-480.
15. Grant, J. A., Courtemanche, J., Duerden, E. G., Duncan, G. H., and Rainville, P. (2010). Cortical thickness and pain sensitivity in Zen meditators. Emotion 10, 43-53.
16. Green, C. S., and Bavelier, D. (2008). Exercising your brain: a review of human brain plasticity and training-induced learning. Psychol. Aging23, 692-701.
17. Guger, C., Domej, W., Lindner, G., Pfurtscheller, K., Pfurtscheller, G., and Edlinger, G. (2005). Effects of a fast cable car ascent to an altitude of 2700 meters on EEG and ECG. Neurosci. Lett. 377, 53-58.
18. Haegens, S., Luther, L., and Jensen, O. (2012). Somatosensory anticipatory alpha activity increases to suppress distracting input. J. Cogn. Neurosci. 24, 677-685.
19. Hölzel, B. K., Carmody, J., Vangel, M., Congleton, C., Yerramsetti, S. M., Gard, T., and Lazar, S. W. (2011a). Mindfulness practice leads to increases in regional brain gray matter density. Psychiatry Res. 191, 36-43.
20. Hölzel, B. K., Lazar, S. W., Gard, T., Schuman-Olivier, Z., Vago, D. R., and Ott, U. (2011b). How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective. Perspect. Psychol. Sci. 6, 537-559.
21. Jann, K., Koenig, T., Dierks, T., Boesch, C., and Federspiel, A. (2010). Association of individual resting state EEG alpha frequency and cerebral blood flow. Neuroimage 51, 365-372.
22. Jensen, C. G., Vangkilde, S., Frokjaer, V., and Hasselbalch, S. G. (2012). Mindfulness training affects attention-or is it attentional effort? J. Exp. Psychol. Gen. 141, 106-123.
23. Jha, A. P., Krompinger, J., and Baime, M. J. (2007). Mindfulness training modifies subsystems of attention. Cogn. Affect. Behav. Neurosci. 7, 109-119.
24. Jones, S. R., Kerr, C. E., Wan, Q., Pritchett, D. L., Hämäläinen, M., and Moore, C. I. (2010). Cued spatial attention drives functionallyrel-evant modulation of the mu rhythm in primary somatosensory cortex. J. Neurosci. 30, 13760-13765.
25. Joyce, C. A., Gorodnitsky, I. F., and Kutas, M. (2004). Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. Psychophysiology 41, 313-325.
26. Kaufman, D., Wesensten, N. J., Pearson, N. R., Kamimori, G. H., and Balkin, T. J. (1993). Altitude and time of day effects on EEG spectral parameters. Physiol. Behav. 54, 283-287.
27. Kayser, J., and Tenke, C. E. (2006). Principal components analysis of Laplacian waveforms as a generic method for indentifying ERP generator patterns: II. Adequacy of low-density estimates. Clin. Neurophysiol. 117, 369-380.
28. Kerr, C. E., Jones, S. R., Wan, O., Pritchett, D. L., Wasserman, R. H., Wexler, A., Villanueva, J. J., Shaw, J. R., Lazar, S. W., Kaptchuk, T. J., Littenberg, R., Hämäläinen, M. S., and Moore, C. I. (2011). Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex. Brain Res. Bull. 85, 96-103.
29. Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Rev. 29, 169-195.
30. Kondacs, A., and Szabó, M. (1999). Long-term intra-individual variability of the background EEG in normals. Clin. Neurophysiol. 110, 1708-1716.
31. Lazar, S. W., Kerr, C. E., Wasserman, R. H., Gray, J. R., Greve, D. N., Treadway, M. T., McGarvey, M., Quinn, B. T., Dusek, J. A., Benson, H., Rauch, S. L., Moore, C. I., and Fischl, B. (2005). Meditation experience is associated with increased cortical thickness. Neuroreport 17, 1893-1897.
32. Linkenkaer-Hansen, K., Nikulin, V. V., Palva, S., Ilmoniemi, R. J., and Palva, J. M. (2004). Prestimulus oscillations enhance psychophysical performance in humans. J. Neurosci. 24, 10186-10190.
33. Lutz, A., Greischar, L. L., Rawlings, N. B., Ricard, M., and Davidson, R. J. (2004). Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. Proc. Natl. Acad. Sci. U.S.A. 101, 16369-16373.
34. Lutz, A., Slagter, H. A., Dunne, J. D., and Davidson, R. J. (2008). Attention regulation and monitoring in meditation. Trends Cogn. Sci. 12, 163-169.
35. Lutz, A., Slagter, H. A., Rawlings, N. B., Francis, A. D., Greischar, L. L., and Davidson, R. J. (2009). Mental training enhances attentional stability: neural and behavioral evidence. J. Neurosci. 29, 13418-13427.
36. MacLean, K. A., Ferrer, E., Aichele, S. R., Bridwell, D. A., Zanesco, A. P., Jacobs, T. L., King, B. G., Rosenberg, E. L., Sahdra, B. K., Shaver, P. R., Wallace, B. A., Mangun, G. R., and Saron, C. D. (2010). Intensive meditation training improves perceptual discrimination and sustained attention. Psychol. Sci. 21, 829-839.
37. Maris, E., and Oostenveld, R. (2007). Nonparametric statistical testing of EEG-and MEG-data. J. Neurosci. Methods164, 177-190.
38. McMenamin, B. W., Shackman, A. J., Gresichar, L. L., and Davidson, R. J. (2011). Electromyogenic artifacts and electroencephalographic inferences revisited. Neuroimage 54, 4-9.
39. McMenamin, B. W., Shackman, A. J., Maxwell, J. S., Bachhuber, D. R. W., Koppenhaver, A. M., Greischar, L. L., and Davidson, R. J. (2010). Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG. Neuroimage 49, 2416-2432.
40. Mitra, P. P., and Pesaran, B. (1999). Analysis of brain imaging data. Biophys. J. 76, 691-708.
41. Moran, R. J., Campo, P., Maestu, F., Reilly, R. B., Dolan, R. J., and Strange, B. A. (2010). Peak frequency in the theta and alpha bands correlates with human working memory capacity. Front. Hum. Neurosci. 4:200. doi: 10.3389/ fnhum.2010.00200
42. Oostenveld, R., Fries, P., Maris, E., and Schoffelen, J.-M. (2011). FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, 156-869.
43. Padilla, M. L., Wood, R. A., Hale, L. A., and Knight, R. T. (2006). Lapses in a prefrontal-extrastriate preparatory attention network predict mistakes. J. Cogn. Neurosci. 18, 1477-1487.
44. Perrin, F., Pernier, J., Bertrand, O., and Echallier, J. F. (1989). Spherical splines for scalp potential and current density mapping. Electroencephalogr. Clin. Neurophysiol. 72, 184-187.
45. Pfurtscheller, G., and Lopes da Silva, F. H. (1999). Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 110, 1842-1857.
46. Ploner, M., Gross, J., Timmermann, L., Pollok, B., and Schnitzler, A. (2006). Oscillatory activity reflects the excitability of the human somatosensory system. Neuroimage 32, 1231-1236.
47. Ritter, P., Moosmann, M., and Villringer, A. (2009). Rolandic alpha and beta EEG rhythms' strengths are inversely related to fMRI-BOLD signal in primary somatosensory and motor cortex. Hum. Brain Mapp. 30, 1168-1187.
48. Romei, V., Gross, J., and Thut, G. (2010). On the role of prestimulus alpha rhythms over occipitoparietal areas in visual input regulation: correlation or causation? J. Neurosci. 30, 8692-8697.
49. Saggar, M. (2011). Computational analysis of meditation. Retrieved from University of Texas Digital Repository: Electronic Theses and Dissertations, (Austin, TX), 24-44.
50. Sahdra, B. K., MacLean, K. A., Ferrer, E., Shaver, P. R., Rosenberg, E. L., Jacobs, T. L., Zanesco, A. P., King, B. G., Aichele, S. R., Bridwell, D. A., Mangun, G. R., Lavy, S., Wallace, B. A., and Saron, C. D. (2011). Enhanced response inhibition during intensive meditation training predicts improvements in selfreported adaptive socioemotional functioning. Emotion 11, 299-312.
51. Sarter, M., and Paolone, G. (2011). Deficits in attentional control: cholinergic mechanisms and circuitry-based treatment approaches. Behav. Neurosci. 125, 825-835.
52. Schubert, R., Haufe, S., Blankenburg, F., Villringer, A., and Curio, G. (2009). Now you'll feel it, now you won't: EEG rhythms predict the effectiveness of perceptual masking. J. Cogn. Neurosci. 21, 2407-2419.
53. Siegel, M., Donner, T. H., and Engel, A. K. (2012). Spectral fingerprints of large-scale neuronal interactions. Nat. Rev. Neurosci. 13, 121-134.
54. Slagter, H. A., Davidson, R. J., and Lutz, A. (2011). Mental training as a tool in the neuroscientific study of brain and cognitive plasticity. Front. Hum. Neurosci. 5:17. doi: 10.3389/fnhum.2011.00017
55. Snyder, A. C., and Foxe, J. J. (2010). Anticipatory attentional suppression of visual features indexed by oscillatory alpha-band power increases: a high-density electrical mapping study. J. Neurosci. 30, 4024-4032.
56. Steriade, M. (2006). Grouping of brain rhythms in corticothalamic systems. Neuroscience 137, 1087-1106.
57. Tallon-Baudry, C. (2012). On the neural mechanisms subserving consciousness and attention. Front. Psychol. 2:397. doi: 10.3389/fpsyg. 2011.00397
58. Tamura, Y., Hoshiyama, M., Nakata, H., Hiroe, N., Inui, K., Kaneoke, Y., Inoue, K., and Kakigi, R. (2005). Functional relationship between human rolandic oscillations and motor cortical excitability: an MEG study. Eur. J. Neurosci. 21, 2555-2562.
59. Tang, A. C. (2010). Applications of second order blind identification to high-density EEG-based brain imaging: a review. Lect. Notes Comput. Sci. 6064, 368-377.
60. Tang, A. C., Liu, J.-Y., and Sutherland, M. T. (2005). Recovery of correlated neuronal sources from EEG: the good and bad ways of using SOBI. Neuroimage 28, 507-519.
61. Thut, G., Nietzel, A., Brandt, S. A., and Pascual-Leone, A. (2006). α-band electroencephalographic activity over occipital cortex indexes visu-ospatial attention bias and predicts visual target detection. J. Neurosci. 26, 9494-9502.
62. van Dijk, H., Schoffelen, J.-M., Oostenveld, R., and Jensen, O. (2008). Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability. J. Neurosci. 28, 1816-1823.
63. van Ede, F., de Lange, F., Jensen, O., and Maris, E. (2011). Orienting attention to an upcoming tactile event involves a spatially and temporally specific modulation of sensorimotor alpha-and beta-band oscillations. J. Neurosci. 31, 2016-2024.
64. van Ede, F., Jensen, O., and Maris, E. (2010). Tactile expectation modulates pre-stimulus β-band oscillations in human sensorimotor cortex. Neuroimage 51, 867-876.
65. van Vugt, M. K., and Jha, A. P. (2011). Investigating the impact of mindfulness meditation training on working memory: a mathematical modeling approach. Cogn. Affect. Behav. Neurosci. 11, 344-353.
66. Varela, F., Lachaux, J.-P., Rodriguez, E., and Martinerie, J. (2001). The brainweb: phase synchronization and large-scale integration. Nat. Rev. Neurosci. 2, 229-239.
67. Wadlinger, H. A., and Isaacowitz, D. M. (2011). Fixing our focus: training attention to regulate emotion. Pers. Soc. Psychol. Rev. 15, 75-102.
68. Wallace, B. A. (2005). Balancing the Mind: A Tibetan Buddhist Approach to Refining Attention. Ithaca, NY: Snow Lion.
69. Wallace, B. A. (2006). The Attention Revolution: Unlocking the Power of the Focused Mind. Boston, MA: Wisdom.
70. Wallace, B. A., and Shapiro, S. L. (2006). Mental balance and well-being: building bridges between Buddhism and Western psychology. Am. Psychol. 61, 690-701.
71. Weissman, D. H., Roberts, K. C., Visscher, K. M., and Woldorff, M. G. (2006). The neural bases of momentary lapses in attention. Nat. Neurosci. 9, 971-978.
72. Womelsdorf, T., and Fries, P. (2007). The role of neuronal synchronization in selective attention. Curr. Opin. Neurobiol. 17, 154-160.